SlideShare una empresa de Scribd logo
1 de 49
Bauxite Mining in Koraput Region
of Odisha: A Socio-Economic and
       Livelihood Analysis
          Prof. M. Gopinath Reddy
             Dr. Prajna Mishra
                Ch. Nagaraju
        (RULNR-CESS, Hyderabad)
                      &
                S.V. Ramana
          Programme Coordinator
         MSSRF, Koraput, Odisha

                                    1
INTRODUCTION
 The state of Odisha and Andhra Pradesh has the largest amount of bauxite reserves in the country.
 The bauxite deposits of Odisha are broadly described under the Southern, Central and Northern
  groups.
                                           Bauxite Deposits of Odisha

                             Group                Estimated Reserves    Mine Area
                                                   (Million Tonnes)     (Hectares)


                   Southern Group
                   Ballada                                12.41             86
                   Maliparbat                              9.80            109
                   Pottangi                               69.03            265
                   Total Southern                         91.24            460
                   Central Group
                   Panchpatmali                          316.98           1445
                   Kodingamali                             91.4           533
                   Karnapadikonda                          17.2           193
                   Total Central                         425.58           2171
                   Northern Group
                   Baphlimali                            195.73           960
                   Sijimali                                 86            1300
                   Karlapat                                 59            973
                   Lanjigarh                                53            564
                   Total Northern                        393.73           3797
                   Total Odisha                          910.55           6428
                   Source: Geological Survey of India (1979)


                                                                                             2
Research Gap
 There is little analytical research that focuses on the microeconomic or
  regional effects of mining.

 This study is primarily concerned with whether or not bauxite mining
  operations can produce net sustainable benefits to local communities, and,
  if so, whether there are policies or processes that can increase positive and
  reduce negative impact.

 In order to determine the net benefits, it is necessary to analyse all
  relevant impacts – economic, social, cultural, health and environmental.

 The project has evaluated to see whether livelihood status has
  deteriorated, improved or remain same with the project.


                                                                           3
Research Questions and Objectives
The main research questions addressed in this study are:

•How does mining influence the livelihoods of the local people? What
exactly are the benefits/costs of the mining projects?
•How can benefit and indeed potential negative outcomes be assessed?

The objectives of the study are:
i)To assess the socio-economic and environmental impacts and challenges
of bauxite mining. i.e. Its possible impact on financial capital (household
income), physical capital (land, house, livestock and other physical assets),
human capital (health, literacy), social capital (displacement, social
network) and natural capital (water, air, noise).
k)To specially look at the role of NALCO in restoring livelihood status of
the project affected population by providing various facilities.       4
Methodology, Study Area and Sample Selection


 There are 12 villages from three blocks surrounded by the refinery and
  nearly 40 villages from four Gram Panchayat surrounded by the mines.
 The criteria for selection of villages are: a) larger tribal population, b)
  affected by pollution, c) crop loss, and d) health hazards etc.
 There are five-six villages under each area and views of the people
  representatives were also considered for village selection.
 The Village Analabadi is selected purposively as people of 13 displaced
  villages are resettled here.




                                                                          5
Sample Villages
     Area                   Zone           Villages     Total        Sample
                                                      Households   Households

Mining Area         Core Zone          Kapsiput          142           38
                    Buffer Zone        Kardiguda          79           21
                    Control Villages   Putraghati        201           53
Refinery Area       Core Zone          Analabadi         607          175
                                       Ambogam           133           36

                    Buffer Zone        Mujanga           259           67
                    Control Villages   Marichamal         77           21
Ash and Red         Core Zone          Goudaguda          73           24
Mud ponds                              Khoraguda          34            8
                                       Champapodar        84           10

                    Buffer Zone        Charangaguda       72           23
                    Control Villages   Kadamguda          34           15
                             Total                      1795          491
   Source: Field Survey (2011)                                                  6
Project Affected People: Basic Features
                      Displacement Scenario of NALCO
  Affected Villages                          26
 Affected Families              Tribal        254 (42.55)
                                Dalit         56 (9.38)
                                Others        287 (48.07)
                                Total         597 (100)
 Land acquired                  Mines         427.30 (4.25)
 (acres)                        Township      2,638.96 (26.24)
                                Plant         6,992.50 (69.52)
                                Total         10,058.76 (100)
                                Govt. Land    2,805.49
                                Agri. Land    2,834.56           7
  Source: Field Survey (2011)
Compensation Scenario of NALCO
                         Families Displaced            597
                         Families Rehabilitated        441
                         Job Received                  352
                         Compensation per one 2000
                         acre of land (Rs)
                         Compensation for Tree         100
                         Compensation for CPR          No
                         Source: Field Survey (2011)




We covered 10 displaced hamlets, 12 revenue villages in seven panchayats of
Koraput district.
Initially we interviewed all household heads (1483) of these hamlets of the selected
villages. the socio-economic details are given below:
In the mining core zone, Kapsiput is our sample village. It has 142 households out of
which 141 households belong to the scheduled tribe category.
In the mining buffer zone Khardiguda and Putraghati are two sample villages.
Khardiguda has 79 households and all belong to the scheduled tribe. Putraghati has 201
                                                                                 8
households with mixed population.
Demographic Features of Affected Villages
                                                                                    Households Category
          Study Zone      Village           Panchayat             Block
                                                                               SC      ST    OBC    OC    Total

          Mining Core   Kapsiput      Bhifaarguda       Lakhimpur         1           141    0     0      142
          Mining        Khardiguda    Littiguda         Koraput           0           79     0     0      79
          Buffer
                        Putraghati                                        26          95     79    1      201
          Refinery      Analabadi     Matalput          Koraput           68          267    144   128    607
          Core
                        Ambogam       Littiguda                           2           131    0     0      133

          Refinery      Mujanga       Mujanga           Dasamanthapur     143         93     0     23     259
          Buffer
                        Marchimal     Matalput          Koraput           21          0      15    41     77
          ARMP Core Goudaguda         Charangul         Semiliguda              0     0      0     73     73
          Zone
                        Kharaguda     Podampur          Koraput           4           2      14    13     33
                        Champapod     Mujanga           Dasamanthapur     11          1      9     64     85
                        ar
          ARMP          Charangagud   Podampur          Koraput           30          42     0     0      72
          Buffer Zone   a

             Source: Field Survey (2011)


•   In Refinery core zone, Analabadi has 607 households. This is a rehabilitation colony
    consisting of eleven displaced hamlets of the refinery. It also has a mixed
    population.
•   Second village Ambogam in the refinery core zone consists of 133 households,
    mostly tribal. This village is almost located in the refinery premises (1.2 km).
                                                                                                                  9
 These villagers are the victim of all immediate environmental impact. In
  Refinery buffer zone, village Mujanga has 259 households, dominated by
  scheduled caste and scheduled tribe population. Marchimal is another village in
  this area with 77 households with a mixed population but no tribal.
 In the Ash and Red mud Pond (ARMP) core zone, Goudaguda is a village with
  73 households. All the households belong to Gouda caste, whose main
  occupation is taken as livestock rearing. Both Kharaguda and Champapodar in
  this area are displaced villages.
 Now they are resettled in one place but they are different villages. Kharaguda has
  33 households with a mixed population and Champapadar has 85 households,
  dominated by other caste.
 In the ARMP buffer zone Charangaguda is a village with 72 households,
  dominated by scheduled caste and scheduled tribe population. Most of them have
  lost land because of the railway track of NALCO.




                                                                               10
Displacement and Compensation Scenario

         Study Zone       Total   Affected            Assets lost           Compensation Received
                          HHs        HHs       Land           House          Land             House
                                      72
         Mining Core      142                 72        0             0                 NA
                                   (50.70)
                                     138
        Mining Buffer     280                 138       0             136               NA
                                   (49.29)
                                     383
        Refinery Core     740                 141       361           129               344
                                   (51.76)
                                      34
        Refinery Buffer   336                 34        0             28                NA
                                   (10.12)
                                     128
         ARMP Core        191                 86        103           85                103
                                   (67.02)
                                  38(52.78)
         ARMP Buffer      72                  38        0             36                NA
          Source: Field Survey (2011)

 In the mining core zone, 51 percent of households have lost their agricultural
  land. For this none of the households have received compensation
 These villagers were practicing podu on top of the hills and hill slopes. After
  getting the permission to mine that area, NALCO evicted these villagers from
  cultivating those patches of land.
 As these displaced households do not have patta for their agricultural lands hence
  they have not received any compensation.
 In the mining buffer zone 49 percent of households have lost their agricultural
                                                                                11
  land.
 These villagers have lost land because of the rehabilitation colony, conveyor
  belt and another road which connects the mining to the refinery site.
 Here almost all the households have received compensation and only 2
  households have not received because of unclear document. The compensation
  package is Rs 1000 to 1500 per acre for dry land and Rs 2500 to 5000 per acre
  for wet land.
 In the Refinery core zone 52 percent of the households are affected by the
  refinery out of the total (383) affected households. Of which 37 percent (141
  households) have lost their agricultural land. Out of the total households (383),
  129 households have received compensation and for others it is still pending.
 On the other hand 94 percent of the total affected households (361
  households) have lost their home and homestead area, of which 344
  households have received compensation (Rs. 500 to Rs. 5000 according to
  classification like hut, semi-pucca, pucca etc).
 These households are also settled in the rehabilitation colony and one job (per
  house) in NALCO.
 In the Refinery buffer zone only 10 percent (34) of the total households are
  affected. They have lost their agricultural land for red mud pond.
 Out of 34 households, 28 households have received compensation and for
  others it is pending.                                                       12
 In the ARMP core zone out of total 191 households, 67 percent (128) of the
  households are affected.
 All households have received compensation except one. In this area 80
  percent of the households have lost their home and homestead area
 In the ARMP buffer zone out of the total 72 households 53 percent (38) of
  the households are affected (agriculture land). Of which 36 households are
  compensated.




                                                                          13
Household Main Occupation: Pre and Post Displacement
                       Main               Mining Core Zone       Mining Buffer Zone
                     Occupation        Pre           Post         Pre          Post
                      Farmers                    75 (63.6)   193 (81.8)    78 (33.1)
                                     118 (100)
                   Wage Labours          0                   43 (18.2)
                      Others             0                                 9 (3.8)
                      NALCO                      43 (36.4)                 149 (63.1)
                   Contract/Wage        NA
                     Employee

                        Total        118 (100)   118 (100)   236 (100)     236 (100)
                   Source: Field Survey (2011)

 In the mining core zone, all households main occupation was farming in the pre
  displacement period.
 However, in the post displacement period 36 percent are engaged in NALCO as
  contract or wage employee. They are not permanent employee of NALCO.
    NALCO has given the contract works to contractors. These contractors will
    recruit the contract and wage labour. They do not have job security and they
    received weekly payment.
 The work category has been divided into four categories are; High Skilled Works,
  Skilled Works, Semi Skilled Works and Un-skilled Works.
                                                                                        14
 According to work category the wage rates are: High Skilled Worker - Rs. 330
  per day, Skilled Worker - Rs. 280 per day, Semi Skilled Worker - Rs. 220 per
  day, Un-skilled Worker - Rs. 190 per day.

 In the mining buffer zone, farmers dominated the main occupation (82 percent) in
  the pre displacement period followed by wage labourers.

 In the mining buffer zone, farmers dominated the main occupation (82 percent) in
  the pre displacement period followed by wage labourers.
 However, this percent has reduced in the post displacement period and now
  NALCO contract and wage labourers are the main category.




                                                                             15
Household Main Occupation: Pre and Post Displacement
                 Main                  Refinery Core Zone     Refinery Buffer Zone
                 Occupation            Pre       Post         Pre           Post
                 Farmers                         71 (10.1)    165 (54.8)    100 (33.2)
                                    665 (94.5)
                 Wage Labours        27 (3.8)    207 (29.4)   132 (43.9)    172 (57.1)
                 Others              12 (1.7)    33 (4.7)     4 (1.3)       19 (6.3)
                 NALCO                           98 (13.8)     NA           10 (3.3)
                 Contract/Wage         NA
                 Employee
                 NALCO               NA          295 (41.9)   NA
                 Employee
                 Total              704 (100)    704 (100)    301 (100)     301 (100)
                  Source: Field Survey (2011)

 In the Refinery core zone farmers dominated the main occupation in the pre
  displacement period (94.5 percent).
 However, in the post displacement period majority are NALCO permanent
  employees.
 As many households have lost their homestead area in this zone, they have
  received this job in their compensation package. This is followed by wage
  labourers and NALCO contract employee.
 In the refinery buffer zone, in the pre displacement period both farming and
  wage labour has a major role. However, in the post displacement phase wage
  labour has outweighed farming.
                                                                             16
 As the extent of displacement is very less here so workers employed in NALCO.
 In the Refinery core zone farmers dominated the main occupation in
  the pre displacement period (94.5 percent).

 However, in the post displacement period majority are NALCO
  permanent employees. As many households have lost their homestead
  area in this zone, they have received jobs in their compensation
  package. This is followed by wage labourers and NALCO contract
  employee.
 In the refinery buffer zone, in the pre displacement period both farming
  and wage labour has a major role.

 However, in the post displacement phase wage labour has outweighed
  farming.



                                                                        17
Household Main Occupation: Pre and Post Displacement
                   Main                 ARMP Core Zone       ARMP Buffer Zone
                   Occupation           Pre     Post         Pre          Post
                   Farmers                      16 (8.4)     38 (52.8)    1 (1.4)
                                     164 (85.9)
                   Wage Labours      22 (11.5)   90 (47.1)   34 (47.2)    65 (90.3)
                   Others             5 (2.6)    7 (3.7)     0            3 (4.2)
                   NALCO                         9 (4.7)      NA          3(4.2)
                   Contract/Wage        NA
                   Employee
                   NALCO              NA         69 (36.1)   NA
                   Employee
                   Total             191 (100)   191 (100)   72 (100)     72 (100)
                   Source: Field Survey (2011)

 In the ARMP core zone also situation is same in the pre displacement period. The
  main occupation is dominated by farming.
 However, in the post scenario it is wage labour and NALCO employee. Here also as
  the households have lost their homestead land they have permanent employment in
  NALCO.
 In the ARMP buffer zone, main occupation was dominated by farmers and wage
  labourers. However, in the post displacement period it is dominated by wage labour.



                                                                                      18
Profile of the Sample Villages (12) and its Important
                          Characteristics



 The caste and sub-caste particulars of the sample households have been
  presented.
 A large majority of the households belong to Scheduled Tribes (49 percent)
  followed by ‘others’ (19.2 percent), Scheduled Castes (17.2 percent), and ‘Other
  Backward Castes’ (14.6 percent).




                                                                             19
Landholding details of the Households in Sample Villages
                                 Mining Area                                           Refinery Area                                            ARMP
                       Core               Buffer                          Core                            Buffer                              Core                    Buffer
   Category of
                                                                                                                                                                      Chara
   Occupations
                     Kapsiput    Kardiguda    Putraghati      Analabadi      Ambogam          Mujanga         Marichamal       Goudaguda    Khoraguda   Champapodar   ngagu
                                                                                                                                                                       da
  Large Farmers %    30 (21.1)     0 (0.0)         3 (1.5)     10 (1.6)           5 (3.8)      20 (7.7)             0 (0.0)      5 (6.8)     0 (0.0)       0 (0.0)    7 (9.7)
    Medium %         15 (10.6)    16 (20.3)        15 (7.5)    20 (3.3)          20 (15)      50 (19.3)            10 (13)       5 (6.8)     0 (0.0)       2 (2.4)    0 (0.0)
                                                                                                                                                                         8
  Small Farmers %    35 (24.6)     15 (19)     25 (12.4)       20 (3.3)          16 (12)      60 (23.2)            12 (15.6)    34 (46.6)    0 (0.0)       0 (0.0)
                                                                                                                                                                      (11.1)
    Marginal %       30 (21.1)     15 (19)     70 (34.8)       20 (3.3)          70 (52.6)    84 (32.4)            34 (44.2)    20 (27.4)    3 (9.1)       0 (0.0)    5 (6.9)
                                                                                                                                                                        47
    Landless %       30 (21.1)    33 (41.8)    58 (28.9)      231 (38.1)         20 (15)      35 (13.5)            15 (19.5)     4 (5.5)     0 (0.0)      31(36.5)
                                                                                                                                                                      (65.3)
  other Salaried %    2 (1.4)      0 (0.0)     30 (14.9)      306 (50.4)          2 (1.5)      10 (3.9)             6 (7.8)      5 (6.8)    30 (90.9)     52 (61.2)   5 (6.9)
                                                                                                                                                                        72
     Total HHs       142 (100)    79 (100)     201 (100)      607 (100)      133 (100)        259 (100)            77 (100)     73 (100)     33 (100)     85 (100)
                                                                                                                                                                      (100)
        Source: Field Survey (2011)

 The data on land holding of the households reveal that in mining area-both in core and buffer
  zones, small and marginal farmers are in majority (40-45 percent) followed by landless labour
  (around 30 percent).
 In kasiput village large farmers are significant (21 percent). Similarly in Kardiguda medium
  farmers are considerable (20 percent). In the refinery areas the land holding profile is quite
  different, particularly in core zone (50.4 percent are others/salaried 38 percent are landlers in
  Analabadi village).
 This is due to large number of project affected households got employment in the company.
  However, in the buffer zone of the refinery small and marginal farmers are predominant followed
  by landless labour.
 In the ARMP core zone, there are hardly any medium, small farmers; large segment of them are
  others/salaried (91 percent in Khoraguda and 61 percent in Champapodar) followed by landless
                                                                                            20
  labour.
Availability of Infrastructural Facilities in the Sample Villages
                                                                                           Drinki
                                 Electri Provid       Provide Educati Provid        Provid        provid Irrigati
                                                Roads                        Health         ng                    provided Community provided
  Area      Zone      Village     city ed by            d by    on    ed by         ed by         ed by on
                                                Avail                         avail        water                  by whom    avail   by whom
                                  Avail whom           whom Avail whom              whom          whom Avail
                                                                                           Avail

            Core     Kapsiput     Yes   GOVT   Yes    GOVT    Yes   GOVT    Yes   GOVT    Yes   GOVT    Yes     GOVT         No         -
                     Kardiguda    Yes   GOVT   Yes    GOVT    Yes   GOVT    Yes   GOVT    Yes   GOVT    Yes     GOVT         No         -
 Mining
            Buffer
                     Putraghati Yes     GOVT   Yes    GOVT    Yes   GOVT    Yes   GOVT    Yes   GOVT    Yes     GOVT        Yes      NALCO
                                        NALCO                       NALCO     NALCO
                     Analabadi    Yes     &   Yes    NALCO    Yes     &   Yes   &   Yes NALCO           Yes     GOVT        Yes      NALCO
                                        GOVT                        GOVT      GOVT
            Core
                                                     NALCO                    NALCO
Refinery             Ambogam      No      -    Yes     &      Yes   GOVT Yes    &   Yes GOVT            Yes     GOVT        Yes      NALCO
                                                     GOVT                     GOVT
                     Mujanga      Yes   GOVT   Yes   GOVT     Yes   GOVT Yes GOVT Yes GOVT              Yes     GOVT         No         -
            Buffer   Maricham
                                  Yes   GOVT   Yes    GOVT    Yes   GOVT    Yes   GOVT    Yes   GOVT    Yes     GOVT        Yes      GOVT
                        al
                                                                    NALCO     NALCO     NALCO
                     Goudagud
                                  No      -    Yes    GOVT    Yes     &   Yes   &   Yes   &             Yes     GOVT         No         -
                        a
                                                                    GOVT      GOVT      GOVT
                                   NALCO                            NALCO
            Core     Khoraguda Yes   &   Yes         NALCO    Yes     &   Yes NALCO Yes NALCO           No        -          No         -
Ash & Red                          GOVT                             GOVT
Mud Pond
                                   NALCO                            NALCO
                     Champapo
                               Yes   &   Yes         NALCO    Yes     &   Yes NALCO Yes NALCO           No        -          No         -
                        dar
                                   GOVT                             GOVT
                     Charangag
            Buffer             No    -   No             -     Yes   GOVT    Yes   GOVT    Yes   GOVT    Yes     GOVT         No         -
                        uda
                     Kadamgud
   Control Area                Yes GOVT Yes           GOVT    Yes   GOVT    Yes   GOVT    Yes   GOVT    Yes     GOVT         No         -
                         a
  Source: Field Survey (2011)                                                                                                         21
Educational Facilities in the Sample Villages
                                         Primary                Upper
                                                                                Higher secondary School Girijan Vidya Vikaskendra    Tribal Ashram schools
                                          School            Primary school
     Area      Zone      Village
                                           Distanc Plac
                                    Avail               Avail Distance Place Avail Distance Place Avail Distance Place              Avail Distance     Place
                                              e     e
                                                                                                                         Bitharag
               Core     Kapsiput     Yes      0     0    No      13 Purhoda No            13 Purhoda No             3               No       13      Purhoda
                                                                                                                            uda
                                                                       Mathalp                 Mathalp                                               Putraghat
   Mining              Kardiguda     Yes      0     0    No       7               No       7              No       34     Koraput   No       3
                                                                          ut                      ut                                                     i
              Buffer
                                                                                               Damanj
                       Putraghati    Yes      0     0    Yes      0        0      No       5              No       32     Koraput   Yes      0          0
                                                                                                  odi
                       Analabadi     Yes      0     0    Yes      0        0     Yes       0       0      No       25     Koraput   Yes      0          0
               Core                                                                            Mathalp
                       Ambogam       Yes      0     0    Yes      0        0      No       3              No       28     Koraput   No       10      Pudaguda
                                                                                                  ut
   Refinery                                                            Runjagu                 Pudagud                    Runjagu                    Bukdugud
                        Mujanga      Yes      0     0    No       5               No       8              No        5               No       6
                                                                          da                       a                         da                          a
              Buffer
                                                                                               Mathalp                   Semiligu
                       Marichamal    Yes      0     0    Yes      0        0      No       4              No       10               No       4       Mathalut
                                                                                                  ut                         da
                                                                                               Mathalp                   Semiligu
                       Goudaguda     Yes      0     0    Yes      0        0      No       4              No       10               No       4       Mathalut
                                                                                                  ut                         da
                                                                                               Damanj                                                Sunnabed
               Core    Khoraguda     Yes      0     0    Yes      0        0      No       5              No       22     Koraput   No       7
  Ash & Red                                                                                       odi                                                    a
  Mud Ponds            Champapo                                                                Damanj                                                Sunnabed
                                     Yes      0     0    Yes      0        0      No       5              No       22     Koraput   No       7
                           dar                                                                    odi                                                    a
                       Charangagu                                      Sunnabe                 Sunnabe                                               Sunnabed
              Buffer                 Yes      0     0    No       5               No       5              No       18     Koraput   No       5
                           da                                             da                      da                                                     a
                                                                        Dolaigu                Dolaigud                                              Sunnabed
      Control Area     Kadamguda     Yes      0     0    No       5               No       5              No       25     Koraput   No       12
                                                                          da                       a                                                     a
              Source: Field Survey (2011)

 Primary schools exist in all the villages; upper primary schools are available in seven
  villages, higher secondary schools exist only in one village, while ‘Girijan Vidya Vikas
  Kendra’ (run by ITDAs) do not exist in any of the villages, people have to go to either
  Koraput or Semiliguda to avail this facility.
                                                                                                                                                         22
 Further, although hospital (territory level) does not exist in any of the
  sample villages, Primary Health Centre (PHC) did exist only in one
  village (Analabadi); two sample villages have health sub-centres and no
  Veterinary Hospitals available in any of the villages.

 The situation regarding other infrastructure such as metallic road, ‘all
  weather roads’ is better in sample villages. Further, half of the sample
  villages have ICDS centers and strikingly only two villages have Fair
  Price Shops/PDS outlets.




                                                                      23
Health Facilities in Sample Villages
                                                                 Primary Health sub
                               Hospital            PHC                                Veterinary Hospital
                                                                       centre
  Area Zone Village
                        Ava Distan          Ava Distan           Ava Distan          Ava Distan
                                    Place               Place                 Place                Place
                         il   ce             il   ce              il   ce             il    ce
                                                                                                Kakirigum
                                   Bitharag            Bitharag             Bitharag
        Core Kapsiput No      3             No    3              No    3             No     7       ma
                                     uda                  uda                  uda
 Minin
                                   Damanjo             Mathalpu             Mathalpu            Mathalput
 g Area      Kardiguda No     7             No    7              No    7             No     7
        Buff                          di                    t                   t
         er                        Damanjo                                  Mathalpu            Mathalput
             Putraghati No    5             No    5    Littiguda No    5             No     5
                                      di                                        t
                                                                                                     0
             Analabadi Yes    0       0     Yes   0        0     Yes   0        0    Yes    0
        Core
                                   Mathalpu            Mathalpu             Mathalpu            Mathalput
 Refine      Ambogam No       3             No    3              No    3             No     3
                                       t                    t                   t
   ry
                                   Pudagud             Pudagud              Pudagud              Pudaguda
  Area        Mujanga No      8             No    8              No    8             No     8
        Buff                           a                    a                   a
         er Marichama              Damanjo             Mathalpu             Mathalpu            Mathalput
                        No    4             No    4              No    4             No     4
                 l                    di                    t                   t
                                   Damanjo             Mathalpu             Mathalpu            Mathalput
             Goudaguda No     4             No    4              No    4             No     4
                                      di                    t                   t
 Ash & Core Khoraguda Yes          Damanjo             Mathalpu             Mathalpu            Mathalput
                              5             No    5              No    5             No     5
  Red                                 di                    t                   t
  Mud        Champapo              Damanjo             Mathalpu             Mathalpu            Mathalput
                        Yes   5             No    5              No    5             No     5
 Ponds          dar                   di                    t                   t
        Buff Charangag             Sunnabe             Sunnabe              Sunnabe             Dumbriput
                        No    5             No    5              No    5             No    10
         er     uda                   da                   da                  da
   Control   Kadamgud              Sunnabe                                                        Kudali
                        No    12            No    15    Kudali No      15    Kudali No     15
    Area         a                    da
            Source: Field Survey (2011)


                                                                                                    24
Other Infrastructure Facilities in the Sample Villages

                                                           All Weather
                                     Metalled Road                              Bus stop             Post office        PHC Sub center         ICDS            PDS/Fair price
                                                               road
  Area        Zone      Village
                                            Distan             Dista             Distan             Distanc             Distanc             Distanc             Distanc
                                    Avail          Place Avail       Place Avail        Place Avail         Place Avail         Place Avail         Place Avail         Place
                                              ce               nce                 ce                  e                   e                   e                   e

                                                                                      Junctio                Bithara             Bithara
              Core     Kapsiput     Yes       0     0     Yes   0    0    No      3           No        3            No      3           Yes   0        0    No     3    Girliput
                                                                                         n                    guda                guda

                                                                                      Putrag                 Littigud            Mathal                                  Littigud
 Mining                Kardiguda    Yes       0     0     Yes   0    0    No      2          No         3             No     7          Yes    0        0    No     2
                                                                                       hati                      a                put                                        a
             Buffer
                                                                                      Putrag                 Littigud            Mathal                                  Littigud
                       Putraghati   Yes       0     0     Yes   0    0    No      1          No         5             No     5          Yes    0        0    No     5
                                                                                       hati                      a                put                                        a
                       Analabadi    Yes       0     0     Yes   0    0    Yes     0        0   Yes      0          0   Yes   0      0    Yes   0        0    Yes    0        0
              Core                                                                    Mathal                 Littigud            Mathal                                  Littigud
                       Ambogam      Yes       0     0     Yes   0    0    No      3          No         5             No     3          Yes    0        0    No     5
                                                                                       put                       a                put                                        a
Refinery                                                                              Daman
                       Mujanga      Yes       0     0     Yes   0    0    No      7         Yes         0          0   Yes   0      0    Yes   0        0    Yes    0        0
                                                                                       jodi
             Buffer
                                                                                                                                 Mathal
                      Marichamal Yes          0     0     Yes   0    0    Yes     0        0   Yes      0          0   No    4          Yes    0        0    Yes    0        0
                                                                                                                                  put

                                                                    Benji             Mathal                 Charan              Mathal               Gouda              Charan
                      Goudaguda     Yes       0     0     No    2         No      4          No         3           No       4          No     0.5            No    3
                                                                     di                put                     gul                put                 guda II              gul

                                                                                      Daman                  Damanj              Mathal               Bodug              Ghattu
              Core    Khoraguda     Yes       0     0     Yes   0    0    No      5         No          5           No       5          No     5            No      7
Ash & Red                                                                              jodi                    odi                put                  uda                guda
Mud Pond              Champapoda                                                      Daman                  Damanj              Mathal               Bodug              Ghattu
                                 Yes          0     0     Yes   0    0    No      5         No          5           No       5          No     5            No      7
                          r                                                            jodi                    odi                put                  uda                guda

                      Charangagud                 Choga             Chog               Sunna                 Sunnab              Sunnab                                  Ghattu
             Buffer               No          2         No      2        No       5          No         5           No       5          Yes    0        0    No     4
                           a                        n                an                 beda                   eda                 eda                                    guda

                                                                                                             Semilig             Semilig              Raniko             Raniko
    Control Area      Kadamguda Yes           0     0     Yes   0    0    No      2   Center No         6            No      6           No    1             No     1
                                                                                                              uda                 uda                   na                 na

    Source: Field Survey (2011)
                                                                                                                                                                        25
 CPRs constitute significant source for livelihood enhancement of
  the poor in the villages. Mostly their access is open to all the
  sections of the villages.
 NALCO has acquired village common land in eight out of twelve
  sample villages.
 Unfortunately no compensation was paid by NALCO to village
  communities and the reason offered is that these are forest lands and
  having no ‘pattas’.
 Even in case of grazing land, the same scenario is observed. The
  loss of these important resources has huge bearing on the live stock
  holding capacity of the communities.




                                                                     26
Job Benefits Offered by NALCO
                                                                                                                     If yes how
                                             permanent job opportunities in                                         many hhs got                               monthly
    Area            Zone        Village                                               If no, state reason                          Nature of job type of job
                                                        NALCO                                                        permanent                                 income
                                                                                                                    employment
                                                                              Nalco says that job were offered to
                    Core       Kapsiput                   No                    those who have lost home and             0              0             0           0
                                                                                          homestead
 Mining Area                                                                  Nalco says that job were offered to
                              Kardiguda                   No                    those who have lost home and             0              0             0           0
                    Buffer
                                                                                          homestead
                              Putraghati                  No                              Still pending                  0             0            0          0
                                                                                                                                   Messengers,
                                                                                                                                     Peons,    Semi-skilled 30000 to
                              Analabadi                   Yes                                 0                         317
                                                                                                                                   Operators, & Un-skilled 60000
                    Core                                                                                                           helpers etc
                                                                              Nalco says that job were offered to
                              Ambogam                     No                    those who have lost home and             0              0             0           0
Refinery Area                                                                             homestead
                                                                              Nalco says that job were offered to
                               Mujanga                    No                    those who have lost home and             0              0             0           0
                                                                                          homestead
                    Buffer
                                                                              Nalco says that job were offered to
                             Marichamal                   No                    those who have lost home and             0              0             0           0
                                                                                          homestead
                                                                              Nalco says that job were offered to
                              Goudaguda                   No                    those who have lost home and             0              0             0           0
                                                                                          homestead
                                                                                                                                   Messengers,
                                                                                                                                     Peons,      Semi-skilled 30000 to
                              Khoraguda                   Yes                                 0                         20
                    Core                                                                                                           Operators,    & Un-skilled 60000
Ash & Red Mud                                                                                                                      helpers etc
     Pond                                                                                                                          Messengers,
                                                                                                                                     Peons,      Semi-skilled 30000 to
                             Champapodar                  Yes                                 0                         52
                                                                                                                                   Operators,    & Un-skilled 60000
                                                                                                                                   helpers etc
                                                                              Nalco says that job were offered to
                    Buffer   Charangaguda                 No                    those who have lost home and             0              0             0           0
                                                                                          homestead
        Control Area          Kadamguda                   No                  Not affected area - Control village        0              0             0           0

               Source: Field Survey (2011)                                                                                                                     27
 The data on job benefits offered to HHs by NALCO - except in three villages
  (one village namely Analabadi in the core zone of refinery and two villages
  namely Kharaguda and Champapodar in the core zone of Ash & Red Mud
  Ponds) no permanent jobs were offered by NALCO.

 NALCO says that jobs were offered to only those villages whose lands and
  homesteads have been lost. In the process partially or indirectly affected villages
  were not benefitted by NALCO jobs even though they lost employment
  opportunities in their native villages.

 The natures of jobs offered were also mostly unskilled like messengers, peons,
  helpers, operators etc. Since it is govt. employment, the monthly income
  (salaries) given to these job holders is substantial.




                                                                                  28
 Although NALCO did not offer large scale permanent employment, it is
  offering contract employment in all the villages.

 However, the number of HHs getting contract employment is varying
  across the sample villages.
 In Refinery Core Zone village, Analabadi as many as 220 HHs are
  getting contract employment, there few villages where very few
  households (as low as three, twelve and twenty HHs) are getting contract
  employment.

 It may be due to the vicinity factor of these villages in relation to the
  Refinery location.

 The wages offered is inform across all the villages and ranging between
  Rs.197-290 per day and their monthly income works out around
  Rs.5000/- to 6000/-.

                                                                       29
Housing Particulars of the Sample HHs (By Type)
                                      Mining                              Refinery                             ARMP
         Type of House
                          Core Zone            Buffer zone   Core Zone               Buffer zone   Core Zone          Buffer zone


           Thatched           .                  2 (2.7)      1 (0.5)                  5 (5.7)      3 (7.5)              2 (2)

          Semi Pucca       38 (100)             70 (94.6)    176 (83.4)               83 (94.3)    35 (87.5)            21 (84)

            Pucca             .                  2 (2.7)     34 (16.1)                    .          2 (5)               2 (8)

          Grand Total      38 (100)             74 (100)     211 (100)                88 (100)     40 (100)            25 (100)

                 Source: Field Survey (2011)
•   The data on the housing in the mining core zone - all the 38 HHs (100 percent)
    live in semi pucca houses whereas in buffer zone also, a majority of them (94.6
    percent) have semi pucca houses.
•   It is significant to know that very few HHs in the mining area have pucca
    houses. In the refinery area core zone, a large majority (83.4 percent) of the
    HHs live in semi-pucca houses and a small number of HHs (16.1 percent) do
    live in pucca houses, while in buffer zone a large majority of the HHs (94.3
    percent) live in semi-pucca houses and a small number of HHs (5.7 percent) do
    live in thatched houses.
•   In ARMP area also predominantly have semi-pucca houses. On the whole, it
    may be observed that in all project areas a large majority live in semi-pucca
    houses and very few HHs live either in pucca or in thatched houses         30
Economic Activities of the Individuals (Primary)
                                           Mining                                                                Refinery                                                            ARMP
                             Core Zone                         Buffer Zone                       Core Zone                       Buffer Zone                         Core Zone                        Buffer Zone
     Occupations    Male        Female    Total      Male         Female      Total     Male       Female     Total    Male        Female       Total      Male        Female    Total      Male         Female      Total
                      20           37       57                              101                        142                        139                         58                         42
     Agriculture    (21.3)       (39.4)   (60.6)    35 (20)      66 (37.7) (57.7) 56 (14.5) 86 (22.3) (36.9) 64 (28.6) 75 (33.5) (62.1) 23 (23.2) 35 (35.4) (58.6) 19 (30.2) 23 (36.5) (66.7)
                      1            2                                                                            22                     8                                  5
    Wage Labour     (1.1)        (2.1)    3 (3.2)    4 (2.3)     12 (6.9) 16 (9.1) 12 (3.1)        10 (2.6)   (5.71)   7 (3.1)       (3.6)     15 (6.7)    4 (4.0)      (5.1)    9 (9.1)    5 (7.9)      4 (6.3) 9 (14.3)
                                                                                                      6        106                                1                                16
    NALCO Employ      .            .         .          .            .          .     100 (26.0)    (1.6)     (27.5)   1 (0.4)                  (0.4)     16 (16.2)              (16.2)

       NALCO
    Contract/Wage     29           4        33                                 48                               86                    17         59                       1        15                       1
       Labour       (30.9)       (4.3)    (35.1)    42 (24)       6 (3.4)    (27.4) 72 (18.7) 14 (3.6)        (22.3) 42 (18.8)       (7.6)     (26.3) 14 (14.1)         (1.0)    (15.2)     6 (9.5)       (1.6)     7 (11.1)
                      1                                                                               5         29                     2                                  1                                 1
       Others       (1.1)                 1 (1.1)     7 (4)       3 (1.7)    10 (5.7) 24 (6.2)      (1.3)     (7.53)   8 (3.6)       (0.9)     10 (4.5)                 (1.0)    1 (1.0)    4 (6.3)       (1.6)     5 (7.9)
                      51           43       94                                 175                         385                         224                                      99                               63
        Total       (54.3)       (45.7)   (100)     88 (50.3) 87 (49.7)       (100) 264 (68.6) 121 (31.4) (100) 122 (54.5) 102 (45.5) (100)               57 (57.6) 42 (42.4) (100)        34 (54.0) 29 (46.0) (100)

                      Source: Field Survey (2011)

•      The various economic activities of the individuals of the sample households
       reveal that the members are engaged in diverse occupations in all the regions.




                                                                                                                                                                                                                  31
Mean Household Income of Villages
 Area                   Zone             Mean HHs Income (Rs)   Mean Per capita Income (Rs.)   Mean HHs size (No.)


                     Core Zone                 55472.6                    12114.7                      4.6
Mining
                     Buffer Zone               57219.6                    13484.9                      4.2


                     Core Zone                225875.2                    44541.7                      5.1
Refinery
                     Buffer Zone               57874.7                    12637.6                      4.6


                     Core Zone                 117291                     19630.3                      6
 ARMP
                     Buffer Zone                58148                     11182.3                      5.2



           Source: Field Survey (2011)




                                                                                                                     32
Landholding details of the Sample Households in Sample Villages

                                             Mining Area                           Refinery Area                          ARMP
  Category of Occupations
                                   Core                     Buffer       Core                       Buffer      Core              Buffer

       Large Farmers             0 (0.0)                    1 (1.4)     5 (2.4)                     7 (8.0)    1 (2.5)            1 (4)


      Medium Farmers             6 (15.8)                   2 (2.7)     7 (3.3)                     6 (6.8)     4 (10)            5 (20)

  Small & Marginal Farmers       22 (57.9)                 43 (58.1)   38 (18.0)                   49 (55.7)   12 (30)           13 (52)

  Farm & non-Farm Labour         10 (26.3)                 28 (37.8)   60 (28.4)                   25 (28.4)   7 (17.5)           6 (24)

      Others (Salaried)          0 (0.0)                   0 (0.0)     101 (47.9)                   1 (1.1)    16 (40)           0 (0.0)

         Total HHs               38 (100)                  74 (100)    211 (100)                   88 (100)    40 (100)          25 (100)


            Source: Field Survey (2011)




                                                                                                                                            33
Household having Livestock in Bauxite Mining Area

                                       Mining                               Refinery                                  ARMP
          Livestock
                        Core Zone          Buffer Zone      Core Zone            Buffer Zone      Core Zone              Buffer Zone

                                                                                          47                   22                       13
            Yes            22 (57.9)            33 (44.6)      64 (30.3)
                                                                                        (53.4)                (55)                     (52)

                                                                                          41                   18                       12
             No            16 (42.1)            41 (55.4)      147 (69.7)
                                                                                        (46.6)                (45)                     (48)

                                                                                                               40                   25
            Total          38 (100)             74 (100)       211 (100)               88 (100)
                                                                                                              (100)                (100)


               Source: Field Survey (2011)


•   Possession of livestock gives incremental and additional incomes to the rural
    families, which is very common. Out of the total 476 households, 201 HHs
    possess livestock and the rest (275) do not have any livestock assets.




                                                                                                                                              34
Details of Household Physical Assets
                                               Mining                             Refinery                             ARMP

             Particulars           Core Zone            Buffer Zone   Core Zone              Buffer Zone   Core Zone          Buffer Zone

                                    % of HHs             % of HHs     % of HHs                % of HHs     % of HHs            % of HHs

               Cycle                  23.7                 55.4         66.8                    55.7          52                  80

               Radio                  2.6                   4.1          7.6                     9.1          10                  16

                Fan                  0.00                  13.5         66.4                    18.2         37.5               0.00

              Almirah                 0.00                 13.5         51.7                    12.5         27.5               0.00

                 TV                   0.00                 24.3         63.5                    18.2         37.5                0.00

               Fridge                 0.00                  1.4         26.5                     1.1         27.5                0.00

              Scooter                 5.3                  17.6         47.9                    10.2         47.5                0.00

                Car                   0.00                  2.7          9                     0.00          0.00               0.00

               Watch                  44.7                 66.2         86.7                    60.2         82.5                 68

         Agricultural Assets          71.1                 68.9         23.2                    78.4         52.5                 64

                        Source: Field Survey (2011)

•   The data on the households having various physical assets such as Cycle, Radio,
    Television, Fan, Almariah, Fridge, Scooter, Car, Watch, agricultural assets etc., reveal
    that having agricultural assets in large number in most of the regions.
•   It is very striking to note that only in refinery core zone a significant proportion have
    Television (63.5 percent), Fridges (26.5 percent) and Scooter (47.9 percent) and
    ARMP core zone (47.5 percent have Scooter, 7.5 percent have Television and 27.5
    percent have fridges). This is again due to their permanent employment in the
    factory.
                                                                                                                                            35
Households Source of Borrowing
                                             Mining                          Refinery                          ARMP
             Sources
                                   Core                Buffer      Core                  Buffer      Core              Buffer

               Bank               2 (33.3)            12 (80)    57 (69.5)              18 (60)    14 (93.3)          6 (54.5)

        Cooperative Society       1 (16.7)             0.00       4 (4.9)               2 (6.7)      0.00              0.00

               SHG                2 (33.3)            2 (13.3)    6 (7.3)               7 (23.3)     0.00             5 (45.5)

          Money Lender            1 (16.7)            1 (6.7)    15 (18.3)               3 (10)     1 (6.7)            0.00

               Total              6 (100)             15 (100)   82 (100)               30 (100)   15 (100)           11 (100)


                   Source: Field Survey (2011)


•   A total number of 159 hhs are found borrowing loans from different sources
    out of total sample of 476 households in the project area.
•   Sourcewise borrowing reveal that banks are the chief lenders to the sample hhs
    (33.3 percent in mining core area and 80.0 percent in buffer zone, 69.5 percent
    in refinery core zone and 60.0 percent in buffer zone; 93.3 percent in ARMP
    core zone and 54.5 percent in buffer zone) followed Self Help Groups (SHGs).




                                                                                                                                 36
Household Health Status
                                                                       HHs Health Status
           Area                    Zone
                                              Excellent     Good            Fair           Partial   Grand Total
                                 Core Zone                                                   1           38
                                                  .       32 (84.2)       5 (13.2)         (2.6)        (100)
          Mining
                                Buffer Zone                                                  1           74
                                                  .       47 (63.5)      26 (35.1)         (1.4)        (100)
                                 Core Zone        1                                                      211
                                                (0.5)     140 (66.4)     61 (28.9)         9 (4.3)      (100)
          Refinery
                                Buffer Zone                                                  1           88
                                                  .       53 (60.2)      34 (38.6)         (1.1)        (100)
                                 Core Zone                                                   1           40
                                                  .       21 (52.5)       18 (45)          (2.5)        (100)
           ARMP
                                Buffer Zone                                                              25
                                                  .        10 (40)        15 (60)             .         (100)

                Source: Field Survey (2011)


•   A qualitative assessment was done in the project area and based on that
    assessment health status was ranked as ‘excellent’, ‘good’, ‘fair’, ‘partial’.
•   A large majority of them have expressed their health status as ‘good’ (84.2
    percent in mining core zone and 63.5 percent in buffer area; 66.4 percent in
    refinery core zone and 60.2 percent in buffer zone; 52.5 percent in ARMP core
    zone and 40.0 percent in buffer zone) followed by ‘fair’. Very less number of
    hhs have expressed their health status as ‘partial’.


                                                                                                                   37
Views on Existence of Plant/Mining and Its Influence
         Area             Zone         Beneficial   partially Helpful   No Problems   Partially Hazarding   Grand Total

                                                                             33               5
                          Core             .                .                                                38 (100)
                                                                           (86.8)           (13.2)
        Mining
                                                            7                61                6
                         Buffer            .                                                                 74 (100)
                                                          (9.5)            (82.4)            (8.1)
                                           24              56               111               20
                          Core                                                                               211 (100)
                                         (11.4)          (26.5)            (52.6)            (9.5)
        Refinery
                                           1               23                56                8
                         Buffer                                                                              88 (100)
                                         (1.1)           (26.1)            (63.6)            (9.1)
                                           3                1                15               21
                          Core                                                                               40 (100)
                                         (7.5)            (2.5)            (37.5)           (52.5)
         ARMP
                                                           10                                 4
                         Buffer            .                              11 (44)                            25 (100)
                                                          (40)                               (16)


                   Source: Field Survey (2011)

•   The views of the sample households on the influence of the plant/mining in the
    project area shows that only small proportion mentioned that it is beneficial.
•   A large majority of them expressed that there are no problems with the plant/
    mining.
•   There are few households in the project area that mentioned about the
    influence of the project as ‘Partially Hazarding’.




                                                                                                                          38
Details of Household Total Income from Various Sources
                                                                                                                           Monthly Income*
                                                                                                                            The figures in
                                                                    NALCO
                                                                                 Wage                      Total Annual      brackets are
         Area          Zone        Agriculture    NALCO Salaries Wage/Contract               Others                                           Total HHs
                                                                                 Works                       Income        average monthly
                                                                   Salaries
                                                                                                                            income of the
                                                                                                                              household
                                                                    1568180       73930
                    Core Zone     395250 (18.5)         0                                  97200 (4.6)    2134560 (100)     177880 (4681)        38
                                                                     (73.5)        (3.5)
        Mining
                                                                    2708530      483780      446460
                    Buffer Zone   646200 (15.1)         0                                                 4284970 (100)    357080.8 (4825)       74
                                                                     (63.2)       (11.3)      (10.4)
                                    2318580                         4996914      993470     2112740
                    Core Zone                     35750449 (77.4)                                         46172153 (100)   3847679 (18235)      211
                                       (5)                           (10.8)        (2.2)       (4.6)
        Refinery
                                    1485575          720000         2954160      755950
                    Buffer Zone                                                            366210 (5.8)   6281895 (100)    523491.3 (5949)       88
                                     (23.6)           (11.5)          (47)         (12)
                                    389800           3171300        1059960      184300
                    Core Zone                                                              72275 (1.5)    4877635 (100)    406469.6 (10162)      40
                                       (8)             (65)          (21.7)        (3.8)
         ARMP
                                                                    276000       405400      393520
                    Buffer Zone   386500 (26.4)         0                                                 1461420 (100)     121785 (5114)        25
                                                                     (18.9)       (27.7)      (26.9)

                   Source: Field Survey (2011)


•    The incomes of the sample households from the various sources clearly show
     that NALCO salaries constitute chief source (incase of refinery core zone (77.4
     percent) and ARMP core zone 65.0 percent).
•    Followed by NALCO wage/contract salaries
•    The incomes from agriculture, wage works and others are not very significant.




                                                                                                                                                          39
Details of New House given by the NALCO
                                                                                  If Yes, New
                                                                                     House
                                 New House Received by respondents                             Type of house                If Not reason for not receiving new house
                                                                                Constructed by
                                                                                     whom
      Area      Zone
                                                                                                                                   Family
                                                                                                               Not affected                                       Not lost home
                            NA          Yes           No              Total        NALCO        Tined Roof                        member           Pending
                                                                                                                household                                        and homestead
                                                                                                                               received house

                Core        .            .          38 (100)         38 (100)         .              .          20 (52.6)             .               .             18 (47.4)
     Mining
                Buffer      .            .          74 (100)         74 (100)         .              .          34 (45.9)             .               .             40 (54.1)

                Core        .         154 (73)      57 (27)      211 (100)        154 (100)      154 (100)      14 (24.6)          5 (8.8)         2 (3.5)          36 (63.2)
    Refinery
                Buffer      .            .          88 (100)         88 (100)         .              .          45 (51.1)             .               .             43 (48.9)

                Core        .         16 (40)       24 (60)          40 (100)      16 (100)       16 (100)       5 (20.8)             .            1 (4.2)              18 (75)
    Ash & Red
    Mud Pond    Buffer      .            .          25 (100)         25 (100)         .              .            3 (12)              .               .                 22 (88)


                     Source: Field Survey (2011)

•   The data on the houses allotted by NALCO to the sample households clearly
    show that only in refinery core zone (73.0 percent) and ARMP core zone (40.0
    percent) significant portion of the households received new houses given by
    NALCO.




                                                                                                                                                                            40
Households Expectations from NALCO
                                                                                      Expectation


      Area      Zone                                                                                           Expecting
                                       Job to     Job offer for all Access health card                                       Local priority for
                            NA                                                         Job regularization      husband’s                           Others     Grand Total
                                     hereditary   Affected People         for all                                               all works
                                                                                                            job/Father's job



                Core       0 (0.0)    0 (0.0)         5 (13.2)          8 (21.1)           25 (65.8)            0 (0.0)            0 (0.0)         0 (0.0)     38 (100)
     Mining
                Buffer     0 (0.0)    0 (0.0)        23 (31.1)           2 (2.7)           40 (54.1)            0 (0.0)           8 (10.8)         1 (1.4)     74 (100)

                Core       0 (0.0)   94 (44.5)       47 (22.3)           2 (0.9)            11 (5.2)           23 (10.9)          16 (7.6)        18 (8.5)     211 (100)
     Refinery
                Buffer     0 (0.0)    0 (0.0)          7 (8)             6 (6.8)            44 (50)             0 (0.0)          14 (15.9)        17 (19.3)    88 (100)

                Core       0 (0.0)    10 (25)        11 (27.5)           0 (0.0)           11 (27.5)            0 (0.0)            4 (10)          4 (10)      40 (100)
      ARMP
                Buffer     0 (0.0)    0 (0.0)          3 (12)           19 (76)              1 (4)              0 (0.0)            0 (0.0)          2 (8)      25 (100)


                 Source: Field Survey (2011)



•   The expectations of the affected households from the NALCO are in the nature
    of ‘Job regularisation’ to those who are on contract, followed by ‘Job offer for
    all affected people’.
•   And ‘others’ that include adequate water facility, access to free education, new
    houses for R & R colony, free electricity, monitoring of drainage and cleanliness
    of the roads etc.
                                                                                                                                                                           41
Conclusions and Way Forward
• The most vulnerable sections, viz., scheduled tribes and scheduled castes
  who have lost lands, houses and other assets could not able to get back
  their livelihood status as a result of cash compensation policy.
• The fact that land scarcity was not there in 80’s as is felt now, Nalco
  should have adopted land to land policy.
• As a result, the above sections were reduced from farmers to casual
  laborers in farm and non-farm sectors.
• In the year 1984 – 85, NALCO started Peripheral Development
  Programme.
• The area which is 10 Kms from Refinery and Mining considered as a
  Peripheral Area. Under this programme, NALCO has promised to provide
  all the facilities like health, education, roads, drinking water and
  infrastructure development (school building etc.)


                                                                      42
•   The NALCO’s Employment policy is that once the displaced persons, who were
    provided with employment happened to die due to ill health, their spouses
    were not provided jobs even on humanitarian grounds, sounds faulty.
•   Another issue of concern is that NALCO is getting water from the Kerandi River
    which is 8 km far away from the refinery.
•   The pipeline is connected to carry water from the river. Due to laying of water
    pipeline some of the villages have lost their agriculture lands.
•   It was told that during the pilot survey people made request to the NALCO to
    get water access for drinking from the pipeline but NALCO has simply denied.
•   People are saying that there is huge water going wastage due to leakages.
•   Besides the problems enlisted above, there are certain environmental and
    ecological problems observed in the field.
•   In Goudaguda village, there are two pipelines; one is Caustic Soda pipeline and
    another one is Septic water pipeline which adjacent to this village, due to
    pipeline leakages the Caustic mud and septic water flows into agriculture fields
    hence the agriculture fields fertility is affected and the crop production has
    been decreased.


                                                                                43
• Transport is the major problem from refinery to refinery surrounding
  villages.
• Male employees, are using bicycle or motor cycle for their transport
  and women trek long distances by walk.
• It is very difficult because they have to walk 9 to 10 Kms on Kutcha
  road to reach refinery and time takes more than one hour.
• They are expecting NALCO to provide transport facility to reach
  refinery and on time.
• During Land Acquisition process NALCO has promised to give
  employment opportunity to all the affected persons in the household.
• But later NALCO has disagreed to provide employment opportunity to
  every affected person in the household.




                                                                   44
• The affected households became addicted to certain social evils such as
  liquor and drugs (particularly among youth)
• It was found that in Analabadi rehabilitation colony most of the
  employees are addicted to alcohol and tobacco chewing etc.
• On the whole, resettlement mechanism adopted by NALCO is not very
  satisfactory and more over it is found that NALCO did not have CSR
  initiative.
• NALCO has generally passed the money towards Resettlement and
  rehabilitation of PAFs to the Government of Odisha and under the
  leadership of the District Collector.




                                                                     45
Way forward
•   the NALCO has to rethink about affected people’s problems and do some of the
    welfare activities for the people interms of livelihoods promotion, Health &
    Education, Skill Development Activities, Infrastructure facilities etc.
Livelihoods:
•   A comprehensive livelihood portfolio needs to be created for the project
    affected population in all area interms of providing Income Generation Activities
    (IGAs) and developing skills among the local communities. NALCO needs to this
    in conjunction with various development departments of the district.
Basic Amenities

Health:
•   Nalco has promised to provide health service to the all affected people from the
    NALCO surrounding villages.
•   NALCO has issued health cards to the affected people who got permanent
    employment in the NALCO and in addition to two villages i.e., Ambogam and
    Goudaguda villages because these two villages are more affected villages by the
    refinery and ARMP.                                                          46
Education:
•NALCO is giving free education to the affected people who got employment in
NALCO, rest are not accessing the free education. In this area, the literacy rate
is very less especially in women literacy rate.
•The reason for the above, the people do not have access better education.
•Incase NALCO provides free education to the affected villages, there will be
much more benefits to the girl child to get education. NALCO must think on this
service.

Drinking Water:
•In all affected villages, people do not have access to protected water.
Mostly, they depend on stream water for the drinking and other household
needs.
•Due to contaminated water people are suffering health problems like
water born disease etc.
•If NALCO can take this initiative, many people from the surrounding villages
are benefited and they can access protected drinking water facility.
                                                                            47
Skill Development Activities and Sustainable
                        Livelihoods
• NALCO could not provide any skill development activities to the affected
  people. Most of the affected people main livelihood source is agriculture
  and NALCO contract/wage labour works.
• Awareness activities and also some training programs should be taken
  up by the NALCO with some development agency/ the Government to
  make these people to have alternative livelihoods for their future
  sustainable livelihoods.
• Skill development trainings would certainly help the women folk to opt
  for alternative livelihoods




                                                                       48
THANK YOU

Más contenido relacionado

Último

Rohan Jaitley: Central Gov't Standing Counsel for Justice
Rohan Jaitley: Central Gov't Standing Counsel for JusticeRohan Jaitley: Central Gov't Standing Counsel for Justice
Rohan Jaitley: Central Gov't Standing Counsel for JusticeAbdulGhani778830
 
IndiaWest: Your Trusted Source for Today's Global News
IndiaWest: Your Trusted Source for Today's Global NewsIndiaWest: Your Trusted Source for Today's Global News
IndiaWest: Your Trusted Source for Today's Global NewsIndiaWest2
 
Global Terrorism and its types and prevention ppt.
Global Terrorism and its types and prevention ppt.Global Terrorism and its types and prevention ppt.
Global Terrorism and its types and prevention ppt.NaveedKhaskheli1
 
57 Bidens Annihilation Nation Policy.pdf
57 Bidens Annihilation Nation Policy.pdf57 Bidens Annihilation Nation Policy.pdf
57 Bidens Annihilation Nation Policy.pdfGerald Furnkranz
 
16042024_First India Newspaper Jaipur.pdf
16042024_First India Newspaper Jaipur.pdf16042024_First India Newspaper Jaipur.pdf
16042024_First India Newspaper Jaipur.pdfFIRST INDIA
 
15042024_First India Newspaper Jaipur.pdf
15042024_First India Newspaper Jaipur.pdf15042024_First India Newspaper Jaipur.pdf
15042024_First India Newspaper Jaipur.pdfFIRST INDIA
 
complaint-ECI-PM-media-1-Chandru.pdfra;;prfk
complaint-ECI-PM-media-1-Chandru.pdfra;;prfkcomplaint-ECI-PM-media-1-Chandru.pdfra;;prfk
complaint-ECI-PM-media-1-Chandru.pdfra;;prfkbhavenpr
 
Experience the Future of the Web3 Gaming Trend
Experience the Future of the Web3 Gaming TrendExperience the Future of the Web3 Gaming Trend
Experience the Future of the Web3 Gaming TrendFabwelt
 

Último (8)

Rohan Jaitley: Central Gov't Standing Counsel for Justice
Rohan Jaitley: Central Gov't Standing Counsel for JusticeRohan Jaitley: Central Gov't Standing Counsel for Justice
Rohan Jaitley: Central Gov't Standing Counsel for Justice
 
IndiaWest: Your Trusted Source for Today's Global News
IndiaWest: Your Trusted Source for Today's Global NewsIndiaWest: Your Trusted Source for Today's Global News
IndiaWest: Your Trusted Source for Today's Global News
 
Global Terrorism and its types and prevention ppt.
Global Terrorism and its types and prevention ppt.Global Terrorism and its types and prevention ppt.
Global Terrorism and its types and prevention ppt.
 
57 Bidens Annihilation Nation Policy.pdf
57 Bidens Annihilation Nation Policy.pdf57 Bidens Annihilation Nation Policy.pdf
57 Bidens Annihilation Nation Policy.pdf
 
16042024_First India Newspaper Jaipur.pdf
16042024_First India Newspaper Jaipur.pdf16042024_First India Newspaper Jaipur.pdf
16042024_First India Newspaper Jaipur.pdf
 
15042024_First India Newspaper Jaipur.pdf
15042024_First India Newspaper Jaipur.pdf15042024_First India Newspaper Jaipur.pdf
15042024_First India Newspaper Jaipur.pdf
 
complaint-ECI-PM-media-1-Chandru.pdfra;;prfk
complaint-ECI-PM-media-1-Chandru.pdfra;;prfkcomplaint-ECI-PM-media-1-Chandru.pdfra;;prfk
complaint-ECI-PM-media-1-Chandru.pdfra;;prfk
 
Experience the Future of the Web3 Gaming Trend
Experience the Future of the Web3 Gaming TrendExperience the Future of the Web3 Gaming Trend
Experience the Future of the Web3 Gaming Trend
 

Destacado

2024 State of Marketing Report – by Hubspot
2024 State of Marketing Report – by Hubspot2024 State of Marketing Report – by Hubspot
2024 State of Marketing Report – by HubspotMarius Sescu
 
Everything You Need To Know About ChatGPT
Everything You Need To Know About ChatGPTEverything You Need To Know About ChatGPT
Everything You Need To Know About ChatGPTExpeed Software
 
Product Design Trends in 2024 | Teenage Engineerings
Product Design Trends in 2024 | Teenage EngineeringsProduct Design Trends in 2024 | Teenage Engineerings
Product Design Trends in 2024 | Teenage EngineeringsPixeldarts
 
How Race, Age and Gender Shape Attitudes Towards Mental Health
How Race, Age and Gender Shape Attitudes Towards Mental HealthHow Race, Age and Gender Shape Attitudes Towards Mental Health
How Race, Age and Gender Shape Attitudes Towards Mental HealthThinkNow
 
AI Trends in Creative Operations 2024 by Artwork Flow.pdf
AI Trends in Creative Operations 2024 by Artwork Flow.pdfAI Trends in Creative Operations 2024 by Artwork Flow.pdf
AI Trends in Creative Operations 2024 by Artwork Flow.pdfmarketingartwork
 
PEPSICO Presentation to CAGNY Conference Feb 2024
PEPSICO Presentation to CAGNY Conference Feb 2024PEPSICO Presentation to CAGNY Conference Feb 2024
PEPSICO Presentation to CAGNY Conference Feb 2024Neil Kimberley
 
Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)contently
 
How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024Albert Qian
 
Social Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie InsightsSocial Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie InsightsKurio // The Social Media Age(ncy)
 
Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024Search Engine Journal
 
5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summary5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summarySpeakerHub
 
ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd Clark Boyd
 
Getting into the tech field. what next
Getting into the tech field. what next Getting into the tech field. what next
Getting into the tech field. what next Tessa Mero
 
Google's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search IntentGoogle's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search IntentLily Ray
 
Time Management & Productivity - Best Practices
Time Management & Productivity -  Best PracticesTime Management & Productivity -  Best Practices
Time Management & Productivity - Best PracticesVit Horky
 
The six step guide to practical project management
The six step guide to practical project managementThe six step guide to practical project management
The six step guide to practical project managementMindGenius
 
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...RachelPearson36
 

Destacado (20)

2024 State of Marketing Report – by Hubspot
2024 State of Marketing Report – by Hubspot2024 State of Marketing Report – by Hubspot
2024 State of Marketing Report – by Hubspot
 
Everything You Need To Know About ChatGPT
Everything You Need To Know About ChatGPTEverything You Need To Know About ChatGPT
Everything You Need To Know About ChatGPT
 
Product Design Trends in 2024 | Teenage Engineerings
Product Design Trends in 2024 | Teenage EngineeringsProduct Design Trends in 2024 | Teenage Engineerings
Product Design Trends in 2024 | Teenage Engineerings
 
How Race, Age and Gender Shape Attitudes Towards Mental Health
How Race, Age and Gender Shape Attitudes Towards Mental HealthHow Race, Age and Gender Shape Attitudes Towards Mental Health
How Race, Age and Gender Shape Attitudes Towards Mental Health
 
AI Trends in Creative Operations 2024 by Artwork Flow.pdf
AI Trends in Creative Operations 2024 by Artwork Flow.pdfAI Trends in Creative Operations 2024 by Artwork Flow.pdf
AI Trends in Creative Operations 2024 by Artwork Flow.pdf
 
Skeleton Culture Code
Skeleton Culture CodeSkeleton Culture Code
Skeleton Culture Code
 
PEPSICO Presentation to CAGNY Conference Feb 2024
PEPSICO Presentation to CAGNY Conference Feb 2024PEPSICO Presentation to CAGNY Conference Feb 2024
PEPSICO Presentation to CAGNY Conference Feb 2024
 
Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)
 
How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024
 
Social Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie InsightsSocial Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie Insights
 
Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024
 
5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summary5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summary
 
ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd
 
Getting into the tech field. what next
Getting into the tech field. what next Getting into the tech field. what next
Getting into the tech field. what next
 
Google's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search IntentGoogle's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search Intent
 
How to have difficult conversations
How to have difficult conversations How to have difficult conversations
How to have difficult conversations
 
Introduction to Data Science
Introduction to Data ScienceIntroduction to Data Science
Introduction to Data Science
 
Time Management & Productivity - Best Practices
Time Management & Productivity -  Best PracticesTime Management & Productivity -  Best Practices
Time Management & Productivity - Best Practices
 
The six step guide to practical project management
The six step guide to practical project managementThe six step guide to practical project management
The six step guide to practical project management
 
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
 

How Bauxite Mining Affects Livelihoods in Odisha's Koraput Region

  • 1. Bauxite Mining in Koraput Region of Odisha: A Socio-Economic and Livelihood Analysis Prof. M. Gopinath Reddy Dr. Prajna Mishra Ch. Nagaraju (RULNR-CESS, Hyderabad) & S.V. Ramana Programme Coordinator MSSRF, Koraput, Odisha 1
  • 2. INTRODUCTION  The state of Odisha and Andhra Pradesh has the largest amount of bauxite reserves in the country.  The bauxite deposits of Odisha are broadly described under the Southern, Central and Northern groups. Bauxite Deposits of Odisha Group Estimated Reserves Mine Area (Million Tonnes) (Hectares) Southern Group Ballada 12.41 86 Maliparbat 9.80 109 Pottangi 69.03 265 Total Southern 91.24 460 Central Group Panchpatmali 316.98 1445 Kodingamali 91.4 533 Karnapadikonda 17.2 193 Total Central 425.58 2171 Northern Group Baphlimali 195.73 960 Sijimali 86 1300 Karlapat 59 973 Lanjigarh 53 564 Total Northern 393.73 3797 Total Odisha 910.55 6428 Source: Geological Survey of India (1979) 2
  • 3. Research Gap  There is little analytical research that focuses on the microeconomic or regional effects of mining.  This study is primarily concerned with whether or not bauxite mining operations can produce net sustainable benefits to local communities, and, if so, whether there are policies or processes that can increase positive and reduce negative impact.  In order to determine the net benefits, it is necessary to analyse all relevant impacts – economic, social, cultural, health and environmental.  The project has evaluated to see whether livelihood status has deteriorated, improved or remain same with the project. 3
  • 4. Research Questions and Objectives The main research questions addressed in this study are: •How does mining influence the livelihoods of the local people? What exactly are the benefits/costs of the mining projects? •How can benefit and indeed potential negative outcomes be assessed? The objectives of the study are: i)To assess the socio-economic and environmental impacts and challenges of bauxite mining. i.e. Its possible impact on financial capital (household income), physical capital (land, house, livestock and other physical assets), human capital (health, literacy), social capital (displacement, social network) and natural capital (water, air, noise). k)To specially look at the role of NALCO in restoring livelihood status of the project affected population by providing various facilities. 4
  • 5. Methodology, Study Area and Sample Selection  There are 12 villages from three blocks surrounded by the refinery and nearly 40 villages from four Gram Panchayat surrounded by the mines.  The criteria for selection of villages are: a) larger tribal population, b) affected by pollution, c) crop loss, and d) health hazards etc.  There are five-six villages under each area and views of the people representatives were also considered for village selection.  The Village Analabadi is selected purposively as people of 13 displaced villages are resettled here. 5
  • 6. Sample Villages Area Zone Villages Total Sample Households Households Mining Area Core Zone Kapsiput 142 38 Buffer Zone Kardiguda 79 21 Control Villages Putraghati 201 53 Refinery Area Core Zone Analabadi 607 175 Ambogam 133 36 Buffer Zone Mujanga 259 67 Control Villages Marichamal 77 21 Ash and Red Core Zone Goudaguda 73 24 Mud ponds Khoraguda 34 8 Champapodar 84 10 Buffer Zone Charangaguda 72 23 Control Villages Kadamguda 34 15 Total 1795 491 Source: Field Survey (2011) 6
  • 7. Project Affected People: Basic Features Displacement Scenario of NALCO Affected Villages 26 Affected Families Tribal 254 (42.55) Dalit 56 (9.38) Others 287 (48.07) Total 597 (100) Land acquired Mines 427.30 (4.25) (acres) Township 2,638.96 (26.24) Plant 6,992.50 (69.52) Total 10,058.76 (100) Govt. Land 2,805.49 Agri. Land 2,834.56 7 Source: Field Survey (2011)
  • 8. Compensation Scenario of NALCO Families Displaced 597 Families Rehabilitated 441 Job Received 352 Compensation per one 2000 acre of land (Rs) Compensation for Tree 100 Compensation for CPR No Source: Field Survey (2011) We covered 10 displaced hamlets, 12 revenue villages in seven panchayats of Koraput district. Initially we interviewed all household heads (1483) of these hamlets of the selected villages. the socio-economic details are given below: In the mining core zone, Kapsiput is our sample village. It has 142 households out of which 141 households belong to the scheduled tribe category. In the mining buffer zone Khardiguda and Putraghati are two sample villages. Khardiguda has 79 households and all belong to the scheduled tribe. Putraghati has 201 8 households with mixed population.
  • 9. Demographic Features of Affected Villages Households Category Study Zone Village Panchayat Block SC ST OBC OC Total Mining Core Kapsiput Bhifaarguda Lakhimpur 1 141 0 0 142 Mining Khardiguda Littiguda Koraput 0 79 0 0 79 Buffer Putraghati 26 95 79 1 201 Refinery Analabadi Matalput Koraput 68 267 144 128 607 Core Ambogam Littiguda 2 131 0 0 133 Refinery Mujanga Mujanga Dasamanthapur 143 93 0 23 259 Buffer Marchimal Matalput Koraput 21 0 15 41 77 ARMP Core Goudaguda Charangul Semiliguda 0 0 0 73 73 Zone Kharaguda Podampur Koraput 4 2 14 13 33 Champapod Mujanga Dasamanthapur 11 1 9 64 85 ar ARMP Charangagud Podampur Koraput 30 42 0 0 72 Buffer Zone a Source: Field Survey (2011) • In Refinery core zone, Analabadi has 607 households. This is a rehabilitation colony consisting of eleven displaced hamlets of the refinery. It also has a mixed population. • Second village Ambogam in the refinery core zone consists of 133 households, mostly tribal. This village is almost located in the refinery premises (1.2 km). 9
  • 10.  These villagers are the victim of all immediate environmental impact. In Refinery buffer zone, village Mujanga has 259 households, dominated by scheduled caste and scheduled tribe population. Marchimal is another village in this area with 77 households with a mixed population but no tribal.  In the Ash and Red mud Pond (ARMP) core zone, Goudaguda is a village with 73 households. All the households belong to Gouda caste, whose main occupation is taken as livestock rearing. Both Kharaguda and Champapodar in this area are displaced villages.  Now they are resettled in one place but they are different villages. Kharaguda has 33 households with a mixed population and Champapadar has 85 households, dominated by other caste.  In the ARMP buffer zone Charangaguda is a village with 72 households, dominated by scheduled caste and scheduled tribe population. Most of them have lost land because of the railway track of NALCO. 10
  • 11. Displacement and Compensation Scenario Study Zone Total Affected Assets lost Compensation Received HHs HHs Land House Land House 72 Mining Core 142 72 0 0 NA (50.70) 138 Mining Buffer 280 138 0 136 NA (49.29) 383 Refinery Core 740 141 361 129 344 (51.76) 34 Refinery Buffer 336 34 0 28 NA (10.12) 128 ARMP Core 191 86 103 85 103 (67.02) 38(52.78) ARMP Buffer 72 38 0 36 NA Source: Field Survey (2011)  In the mining core zone, 51 percent of households have lost their agricultural land. For this none of the households have received compensation  These villagers were practicing podu on top of the hills and hill slopes. After getting the permission to mine that area, NALCO evicted these villagers from cultivating those patches of land.  As these displaced households do not have patta for their agricultural lands hence they have not received any compensation.  In the mining buffer zone 49 percent of households have lost their agricultural 11 land.
  • 12.  These villagers have lost land because of the rehabilitation colony, conveyor belt and another road which connects the mining to the refinery site.  Here almost all the households have received compensation and only 2 households have not received because of unclear document. The compensation package is Rs 1000 to 1500 per acre for dry land and Rs 2500 to 5000 per acre for wet land.  In the Refinery core zone 52 percent of the households are affected by the refinery out of the total (383) affected households. Of which 37 percent (141 households) have lost their agricultural land. Out of the total households (383), 129 households have received compensation and for others it is still pending.  On the other hand 94 percent of the total affected households (361 households) have lost their home and homestead area, of which 344 households have received compensation (Rs. 500 to Rs. 5000 according to classification like hut, semi-pucca, pucca etc).  These households are also settled in the rehabilitation colony and one job (per house) in NALCO.  In the Refinery buffer zone only 10 percent (34) of the total households are affected. They have lost their agricultural land for red mud pond.  Out of 34 households, 28 households have received compensation and for others it is pending. 12
  • 13.  In the ARMP core zone out of total 191 households, 67 percent (128) of the households are affected.  All households have received compensation except one. In this area 80 percent of the households have lost their home and homestead area  In the ARMP buffer zone out of the total 72 households 53 percent (38) of the households are affected (agriculture land). Of which 36 households are compensated. 13
  • 14. Household Main Occupation: Pre and Post Displacement Main Mining Core Zone Mining Buffer Zone Occupation Pre Post Pre Post Farmers 75 (63.6) 193 (81.8) 78 (33.1) 118 (100) Wage Labours 0 43 (18.2) Others 0 9 (3.8) NALCO 43 (36.4) 149 (63.1) Contract/Wage NA Employee Total 118 (100) 118 (100) 236 (100) 236 (100) Source: Field Survey (2011)  In the mining core zone, all households main occupation was farming in the pre displacement period.  However, in the post displacement period 36 percent are engaged in NALCO as contract or wage employee. They are not permanent employee of NALCO.  NALCO has given the contract works to contractors. These contractors will recruit the contract and wage labour. They do not have job security and they received weekly payment.  The work category has been divided into four categories are; High Skilled Works, Skilled Works, Semi Skilled Works and Un-skilled Works. 14
  • 15.  According to work category the wage rates are: High Skilled Worker - Rs. 330 per day, Skilled Worker - Rs. 280 per day, Semi Skilled Worker - Rs. 220 per day, Un-skilled Worker - Rs. 190 per day.  In the mining buffer zone, farmers dominated the main occupation (82 percent) in the pre displacement period followed by wage labourers.  In the mining buffer zone, farmers dominated the main occupation (82 percent) in the pre displacement period followed by wage labourers.  However, this percent has reduced in the post displacement period and now NALCO contract and wage labourers are the main category. 15
  • 16. Household Main Occupation: Pre and Post Displacement Main Refinery Core Zone Refinery Buffer Zone Occupation Pre Post Pre Post Farmers 71 (10.1) 165 (54.8) 100 (33.2) 665 (94.5) Wage Labours 27 (3.8) 207 (29.4) 132 (43.9) 172 (57.1) Others 12 (1.7) 33 (4.7) 4 (1.3) 19 (6.3) NALCO 98 (13.8) NA 10 (3.3) Contract/Wage NA Employee NALCO NA 295 (41.9) NA Employee Total 704 (100) 704 (100) 301 (100) 301 (100) Source: Field Survey (2011)  In the Refinery core zone farmers dominated the main occupation in the pre displacement period (94.5 percent).  However, in the post displacement period majority are NALCO permanent employees.  As many households have lost their homestead area in this zone, they have received this job in their compensation package. This is followed by wage labourers and NALCO contract employee.  In the refinery buffer zone, in the pre displacement period both farming and wage labour has a major role. However, in the post displacement phase wage labour has outweighed farming. 16  As the extent of displacement is very less here so workers employed in NALCO.
  • 17.  In the Refinery core zone farmers dominated the main occupation in the pre displacement period (94.5 percent).  However, in the post displacement period majority are NALCO permanent employees. As many households have lost their homestead area in this zone, they have received jobs in their compensation package. This is followed by wage labourers and NALCO contract employee.  In the refinery buffer zone, in the pre displacement period both farming and wage labour has a major role.  However, in the post displacement phase wage labour has outweighed farming. 17
  • 18. Household Main Occupation: Pre and Post Displacement Main ARMP Core Zone ARMP Buffer Zone Occupation Pre Post Pre Post Farmers 16 (8.4) 38 (52.8) 1 (1.4) 164 (85.9) Wage Labours 22 (11.5) 90 (47.1) 34 (47.2) 65 (90.3) Others 5 (2.6) 7 (3.7) 0 3 (4.2) NALCO 9 (4.7) NA 3(4.2) Contract/Wage NA Employee NALCO NA 69 (36.1) NA Employee Total 191 (100) 191 (100) 72 (100) 72 (100) Source: Field Survey (2011)  In the ARMP core zone also situation is same in the pre displacement period. The main occupation is dominated by farming.  However, in the post scenario it is wage labour and NALCO employee. Here also as the households have lost their homestead land they have permanent employment in NALCO.  In the ARMP buffer zone, main occupation was dominated by farmers and wage labourers. However, in the post displacement period it is dominated by wage labour. 18
  • 19. Profile of the Sample Villages (12) and its Important Characteristics  The caste and sub-caste particulars of the sample households have been presented.  A large majority of the households belong to Scheduled Tribes (49 percent) followed by ‘others’ (19.2 percent), Scheduled Castes (17.2 percent), and ‘Other Backward Castes’ (14.6 percent). 19
  • 20. Landholding details of the Households in Sample Villages Mining Area Refinery Area ARMP Core Buffer Core Buffer Core Buffer Category of Chara Occupations Kapsiput Kardiguda Putraghati Analabadi Ambogam Mujanga Marichamal Goudaguda Khoraguda Champapodar ngagu da Large Farmers % 30 (21.1) 0 (0.0) 3 (1.5) 10 (1.6) 5 (3.8) 20 (7.7) 0 (0.0) 5 (6.8) 0 (0.0) 0 (0.0) 7 (9.7) Medium % 15 (10.6) 16 (20.3) 15 (7.5) 20 (3.3) 20 (15) 50 (19.3) 10 (13) 5 (6.8) 0 (0.0) 2 (2.4) 0 (0.0) 8 Small Farmers % 35 (24.6) 15 (19) 25 (12.4) 20 (3.3) 16 (12) 60 (23.2) 12 (15.6) 34 (46.6) 0 (0.0) 0 (0.0) (11.1) Marginal % 30 (21.1) 15 (19) 70 (34.8) 20 (3.3) 70 (52.6) 84 (32.4) 34 (44.2) 20 (27.4) 3 (9.1) 0 (0.0) 5 (6.9) 47 Landless % 30 (21.1) 33 (41.8) 58 (28.9) 231 (38.1) 20 (15) 35 (13.5) 15 (19.5) 4 (5.5) 0 (0.0) 31(36.5) (65.3) other Salaried % 2 (1.4) 0 (0.0) 30 (14.9) 306 (50.4) 2 (1.5) 10 (3.9) 6 (7.8) 5 (6.8) 30 (90.9) 52 (61.2) 5 (6.9) 72 Total HHs 142 (100) 79 (100) 201 (100) 607 (100) 133 (100) 259 (100) 77 (100) 73 (100) 33 (100) 85 (100) (100) Source: Field Survey (2011)  The data on land holding of the households reveal that in mining area-both in core and buffer zones, small and marginal farmers are in majority (40-45 percent) followed by landless labour (around 30 percent).  In kasiput village large farmers are significant (21 percent). Similarly in Kardiguda medium farmers are considerable (20 percent). In the refinery areas the land holding profile is quite different, particularly in core zone (50.4 percent are others/salaried 38 percent are landlers in Analabadi village).  This is due to large number of project affected households got employment in the company. However, in the buffer zone of the refinery small and marginal farmers are predominant followed by landless labour.  In the ARMP core zone, there are hardly any medium, small farmers; large segment of them are others/salaried (91 percent in Khoraguda and 61 percent in Champapodar) followed by landless 20 labour.
  • 21. Availability of Infrastructural Facilities in the Sample Villages Drinki Electri Provid Provide Educati Provid Provid provid Irrigati Roads Health ng provided Community provided Area Zone Village city ed by d by on ed by ed by ed by on Avail avail water by whom avail by whom Avail whom whom Avail whom whom whom Avail Avail Core Kapsiput Yes GOVT Yes GOVT Yes GOVT Yes GOVT Yes GOVT Yes GOVT No - Kardiguda Yes GOVT Yes GOVT Yes GOVT Yes GOVT Yes GOVT Yes GOVT No - Mining Buffer Putraghati Yes GOVT Yes GOVT Yes GOVT Yes GOVT Yes GOVT Yes GOVT Yes NALCO NALCO NALCO NALCO Analabadi Yes & Yes NALCO Yes & Yes & Yes NALCO Yes GOVT Yes NALCO GOVT GOVT GOVT Core NALCO NALCO Refinery Ambogam No - Yes & Yes GOVT Yes & Yes GOVT Yes GOVT Yes NALCO GOVT GOVT Mujanga Yes GOVT Yes GOVT Yes GOVT Yes GOVT Yes GOVT Yes GOVT No - Buffer Maricham Yes GOVT Yes GOVT Yes GOVT Yes GOVT Yes GOVT Yes GOVT Yes GOVT al NALCO NALCO NALCO Goudagud No - Yes GOVT Yes & Yes & Yes & Yes GOVT No - a GOVT GOVT GOVT NALCO NALCO Core Khoraguda Yes & Yes NALCO Yes & Yes NALCO Yes NALCO No - No - Ash & Red GOVT GOVT Mud Pond NALCO NALCO Champapo Yes & Yes NALCO Yes & Yes NALCO Yes NALCO No - No - dar GOVT GOVT Charangag Buffer No - No - Yes GOVT Yes GOVT Yes GOVT Yes GOVT No - uda Kadamgud Control Area Yes GOVT Yes GOVT Yes GOVT Yes GOVT Yes GOVT Yes GOVT No - a Source: Field Survey (2011) 21
  • 22. Educational Facilities in the Sample Villages Primary Upper Higher secondary School Girijan Vidya Vikaskendra Tribal Ashram schools School Primary school Area Zone Village Distanc Plac Avail Avail Distance Place Avail Distance Place Avail Distance Place Avail Distance Place e e Bitharag Core Kapsiput Yes 0 0 No 13 Purhoda No 13 Purhoda No 3 No 13 Purhoda uda Mathalp Mathalp Putraghat Mining Kardiguda Yes 0 0 No 7 No 7 No 34 Koraput No 3 ut ut i Buffer Damanj Putraghati Yes 0 0 Yes 0 0 No 5 No 32 Koraput Yes 0 0 odi Analabadi Yes 0 0 Yes 0 0 Yes 0 0 No 25 Koraput Yes 0 0 Core Mathalp Ambogam Yes 0 0 Yes 0 0 No 3 No 28 Koraput No 10 Pudaguda ut Refinery Runjagu Pudagud Runjagu Bukdugud Mujanga Yes 0 0 No 5 No 8 No 5 No 6 da a da a Buffer Mathalp Semiligu Marichamal Yes 0 0 Yes 0 0 No 4 No 10 No 4 Mathalut ut da Mathalp Semiligu Goudaguda Yes 0 0 Yes 0 0 No 4 No 10 No 4 Mathalut ut da Damanj Sunnabed Core Khoraguda Yes 0 0 Yes 0 0 No 5 No 22 Koraput No 7 Ash & Red odi a Mud Ponds Champapo Damanj Sunnabed Yes 0 0 Yes 0 0 No 5 No 22 Koraput No 7 dar odi a Charangagu Sunnabe Sunnabe Sunnabed Buffer Yes 0 0 No 5 No 5 No 18 Koraput No 5 da da da a Dolaigu Dolaigud Sunnabed Control Area Kadamguda Yes 0 0 No 5 No 5 No 25 Koraput No 12 da a a Source: Field Survey (2011)  Primary schools exist in all the villages; upper primary schools are available in seven villages, higher secondary schools exist only in one village, while ‘Girijan Vidya Vikas Kendra’ (run by ITDAs) do not exist in any of the villages, people have to go to either Koraput or Semiliguda to avail this facility. 22
  • 23.  Further, although hospital (territory level) does not exist in any of the sample villages, Primary Health Centre (PHC) did exist only in one village (Analabadi); two sample villages have health sub-centres and no Veterinary Hospitals available in any of the villages.  The situation regarding other infrastructure such as metallic road, ‘all weather roads’ is better in sample villages. Further, half of the sample villages have ICDS centers and strikingly only two villages have Fair Price Shops/PDS outlets. 23
  • 24. Health Facilities in Sample Villages Primary Health sub Hospital PHC Veterinary Hospital centre Area Zone Village Ava Distan Ava Distan Ava Distan Ava Distan Place Place Place Place il ce il ce il ce il ce Kakirigum Bitharag Bitharag Bitharag Core Kapsiput No 3 No 3 No 3 No 7 ma uda uda uda Minin Damanjo Mathalpu Mathalpu Mathalput g Area Kardiguda No 7 No 7 No 7 No 7 Buff di t t er Damanjo Mathalpu Mathalput Putraghati No 5 No 5 Littiguda No 5 No 5 di t 0 Analabadi Yes 0 0 Yes 0 0 Yes 0 0 Yes 0 Core Mathalpu Mathalpu Mathalpu Mathalput Refine Ambogam No 3 No 3 No 3 No 3 t t t ry Pudagud Pudagud Pudagud Pudaguda Area Mujanga No 8 No 8 No 8 No 8 Buff a a a er Marichama Damanjo Mathalpu Mathalpu Mathalput No 4 No 4 No 4 No 4 l di t t Damanjo Mathalpu Mathalpu Mathalput Goudaguda No 4 No 4 No 4 No 4 di t t Ash & Core Khoraguda Yes Damanjo Mathalpu Mathalpu Mathalput 5 No 5 No 5 No 5 Red di t t Mud Champapo Damanjo Mathalpu Mathalpu Mathalput Yes 5 No 5 No 5 No 5 Ponds dar di t t Buff Charangag Sunnabe Sunnabe Sunnabe Dumbriput No 5 No 5 No 5 No 10 er uda da da da Control Kadamgud Sunnabe Kudali No 12 No 15 Kudali No 15 Kudali No 15 Area a da Source: Field Survey (2011) 24
  • 25. Other Infrastructure Facilities in the Sample Villages All Weather Metalled Road Bus stop Post office PHC Sub center ICDS PDS/Fair price road Area Zone Village Distan Dista Distan Distanc Distanc Distanc Distanc Avail Place Avail Place Avail Place Avail Place Avail Place Avail Place Avail Place ce nce ce e e e e Junctio Bithara Bithara Core Kapsiput Yes 0 0 Yes 0 0 No 3 No 3 No 3 Yes 0 0 No 3 Girliput n guda guda Putrag Littigud Mathal Littigud Mining Kardiguda Yes 0 0 Yes 0 0 No 2 No 3 No 7 Yes 0 0 No 2 hati a put a Buffer Putrag Littigud Mathal Littigud Putraghati Yes 0 0 Yes 0 0 No 1 No 5 No 5 Yes 0 0 No 5 hati a put a Analabadi Yes 0 0 Yes 0 0 Yes 0 0 Yes 0 0 Yes 0 0 Yes 0 0 Yes 0 0 Core Mathal Littigud Mathal Littigud Ambogam Yes 0 0 Yes 0 0 No 3 No 5 No 3 Yes 0 0 No 5 put a put a Refinery Daman Mujanga Yes 0 0 Yes 0 0 No 7 Yes 0 0 Yes 0 0 Yes 0 0 Yes 0 0 jodi Buffer Mathal Marichamal Yes 0 0 Yes 0 0 Yes 0 0 Yes 0 0 No 4 Yes 0 0 Yes 0 0 put Benji Mathal Charan Mathal Gouda Charan Goudaguda Yes 0 0 No 2 No 4 No 3 No 4 No 0.5 No 3 di put gul put guda II gul Daman Damanj Mathal Bodug Ghattu Core Khoraguda Yes 0 0 Yes 0 0 No 5 No 5 No 5 No 5 No 7 Ash & Red jodi odi put uda guda Mud Pond Champapoda Daman Damanj Mathal Bodug Ghattu Yes 0 0 Yes 0 0 No 5 No 5 No 5 No 5 No 7 r jodi odi put uda guda Charangagud Choga Chog Sunna Sunnab Sunnab Ghattu Buffer No 2 No 2 No 5 No 5 No 5 Yes 0 0 No 4 a n an beda eda eda guda Semilig Semilig Raniko Raniko Control Area Kadamguda Yes 0 0 Yes 0 0 No 2 Center No 6 No 6 No 1 No 1 uda uda na na Source: Field Survey (2011) 25
  • 26.  CPRs constitute significant source for livelihood enhancement of the poor in the villages. Mostly their access is open to all the sections of the villages.  NALCO has acquired village common land in eight out of twelve sample villages.  Unfortunately no compensation was paid by NALCO to village communities and the reason offered is that these are forest lands and having no ‘pattas’.  Even in case of grazing land, the same scenario is observed. The loss of these important resources has huge bearing on the live stock holding capacity of the communities. 26
  • 27. Job Benefits Offered by NALCO If yes how permanent job opportunities in many hhs got monthly Area Zone Village If no, state reason Nature of job type of job NALCO permanent income employment Nalco says that job were offered to Core Kapsiput No those who have lost home and 0 0 0 0 homestead Mining Area Nalco says that job were offered to Kardiguda No those who have lost home and 0 0 0 0 Buffer homestead Putraghati No Still pending 0 0 0 0 Messengers, Peons, Semi-skilled 30000 to Analabadi Yes 0 317 Operators, & Un-skilled 60000 Core helpers etc Nalco says that job were offered to Ambogam No those who have lost home and 0 0 0 0 Refinery Area homestead Nalco says that job were offered to Mujanga No those who have lost home and 0 0 0 0 homestead Buffer Nalco says that job were offered to Marichamal No those who have lost home and 0 0 0 0 homestead Nalco says that job were offered to Goudaguda No those who have lost home and 0 0 0 0 homestead Messengers, Peons, Semi-skilled 30000 to Khoraguda Yes 0 20 Core Operators, & Un-skilled 60000 Ash & Red Mud helpers etc Pond Messengers, Peons, Semi-skilled 30000 to Champapodar Yes 0 52 Operators, & Un-skilled 60000 helpers etc Nalco says that job were offered to Buffer Charangaguda No those who have lost home and 0 0 0 0 homestead Control Area Kadamguda No Not affected area - Control village 0 0 0 0 Source: Field Survey (2011) 27
  • 28.  The data on job benefits offered to HHs by NALCO - except in three villages (one village namely Analabadi in the core zone of refinery and two villages namely Kharaguda and Champapodar in the core zone of Ash & Red Mud Ponds) no permanent jobs were offered by NALCO.  NALCO says that jobs were offered to only those villages whose lands and homesteads have been lost. In the process partially or indirectly affected villages were not benefitted by NALCO jobs even though they lost employment opportunities in their native villages.  The natures of jobs offered were also mostly unskilled like messengers, peons, helpers, operators etc. Since it is govt. employment, the monthly income (salaries) given to these job holders is substantial. 28
  • 29.  Although NALCO did not offer large scale permanent employment, it is offering contract employment in all the villages.  However, the number of HHs getting contract employment is varying across the sample villages.  In Refinery Core Zone village, Analabadi as many as 220 HHs are getting contract employment, there few villages where very few households (as low as three, twelve and twenty HHs) are getting contract employment.  It may be due to the vicinity factor of these villages in relation to the Refinery location.  The wages offered is inform across all the villages and ranging between Rs.197-290 per day and their monthly income works out around Rs.5000/- to 6000/-. 29
  • 30. Housing Particulars of the Sample HHs (By Type) Mining Refinery ARMP Type of House Core Zone Buffer zone Core Zone Buffer zone Core Zone Buffer zone Thatched . 2 (2.7) 1 (0.5) 5 (5.7) 3 (7.5) 2 (2) Semi Pucca 38 (100) 70 (94.6) 176 (83.4) 83 (94.3) 35 (87.5) 21 (84) Pucca . 2 (2.7) 34 (16.1) . 2 (5) 2 (8) Grand Total 38 (100) 74 (100) 211 (100) 88 (100) 40 (100) 25 (100) Source: Field Survey (2011) • The data on the housing in the mining core zone - all the 38 HHs (100 percent) live in semi pucca houses whereas in buffer zone also, a majority of them (94.6 percent) have semi pucca houses. • It is significant to know that very few HHs in the mining area have pucca houses. In the refinery area core zone, a large majority (83.4 percent) of the HHs live in semi-pucca houses and a small number of HHs (16.1 percent) do live in pucca houses, while in buffer zone a large majority of the HHs (94.3 percent) live in semi-pucca houses and a small number of HHs (5.7 percent) do live in thatched houses. • In ARMP area also predominantly have semi-pucca houses. On the whole, it may be observed that in all project areas a large majority live in semi-pucca houses and very few HHs live either in pucca or in thatched houses 30
  • 31. Economic Activities of the Individuals (Primary) Mining Refinery ARMP Core Zone Buffer Zone Core Zone Buffer Zone Core Zone Buffer Zone Occupations Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total 20 37 57 101 142 139 58 42 Agriculture (21.3) (39.4) (60.6) 35 (20) 66 (37.7) (57.7) 56 (14.5) 86 (22.3) (36.9) 64 (28.6) 75 (33.5) (62.1) 23 (23.2) 35 (35.4) (58.6) 19 (30.2) 23 (36.5) (66.7) 1 2 22 8 5 Wage Labour (1.1) (2.1) 3 (3.2) 4 (2.3) 12 (6.9) 16 (9.1) 12 (3.1) 10 (2.6) (5.71) 7 (3.1) (3.6) 15 (6.7) 4 (4.0) (5.1) 9 (9.1) 5 (7.9) 4 (6.3) 9 (14.3) 6 106 1 16 NALCO Employ . . . . . . 100 (26.0) (1.6) (27.5) 1 (0.4) (0.4) 16 (16.2) (16.2) NALCO Contract/Wage 29 4 33 48 86 17 59 1 15 1 Labour (30.9) (4.3) (35.1) 42 (24) 6 (3.4) (27.4) 72 (18.7) 14 (3.6) (22.3) 42 (18.8) (7.6) (26.3) 14 (14.1) (1.0) (15.2) 6 (9.5) (1.6) 7 (11.1) 1 5 29 2 1 1 Others (1.1) 1 (1.1) 7 (4) 3 (1.7) 10 (5.7) 24 (6.2) (1.3) (7.53) 8 (3.6) (0.9) 10 (4.5) (1.0) 1 (1.0) 4 (6.3) (1.6) 5 (7.9) 51 43 94 175 385 224 99 63 Total (54.3) (45.7) (100) 88 (50.3) 87 (49.7) (100) 264 (68.6) 121 (31.4) (100) 122 (54.5) 102 (45.5) (100) 57 (57.6) 42 (42.4) (100) 34 (54.0) 29 (46.0) (100) Source: Field Survey (2011) • The various economic activities of the individuals of the sample households reveal that the members are engaged in diverse occupations in all the regions. 31
  • 32. Mean Household Income of Villages Area Zone Mean HHs Income (Rs) Mean Per capita Income (Rs.) Mean HHs size (No.) Core Zone 55472.6 12114.7 4.6 Mining Buffer Zone 57219.6 13484.9 4.2 Core Zone 225875.2 44541.7 5.1 Refinery Buffer Zone 57874.7 12637.6 4.6 Core Zone 117291 19630.3 6 ARMP Buffer Zone 58148 11182.3 5.2 Source: Field Survey (2011) 32
  • 33. Landholding details of the Sample Households in Sample Villages Mining Area Refinery Area ARMP Category of Occupations Core Buffer Core Buffer Core Buffer Large Farmers 0 (0.0) 1 (1.4) 5 (2.4) 7 (8.0) 1 (2.5) 1 (4) Medium Farmers 6 (15.8) 2 (2.7) 7 (3.3) 6 (6.8) 4 (10) 5 (20) Small & Marginal Farmers 22 (57.9) 43 (58.1) 38 (18.0) 49 (55.7) 12 (30) 13 (52) Farm & non-Farm Labour 10 (26.3) 28 (37.8) 60 (28.4) 25 (28.4) 7 (17.5) 6 (24) Others (Salaried) 0 (0.0) 0 (0.0) 101 (47.9) 1 (1.1) 16 (40) 0 (0.0) Total HHs 38 (100) 74 (100) 211 (100) 88 (100) 40 (100) 25 (100) Source: Field Survey (2011) 33
  • 34. Household having Livestock in Bauxite Mining Area Mining Refinery ARMP Livestock Core Zone Buffer Zone Core Zone Buffer Zone Core Zone Buffer Zone 47 22 13 Yes 22 (57.9) 33 (44.6) 64 (30.3) (53.4) (55) (52) 41 18 12 No 16 (42.1) 41 (55.4) 147 (69.7) (46.6) (45) (48) 40 25 Total 38 (100) 74 (100) 211 (100) 88 (100) (100) (100) Source: Field Survey (2011) • Possession of livestock gives incremental and additional incomes to the rural families, which is very common. Out of the total 476 households, 201 HHs possess livestock and the rest (275) do not have any livestock assets. 34
  • 35. Details of Household Physical Assets Mining Refinery ARMP Particulars Core Zone Buffer Zone Core Zone Buffer Zone Core Zone Buffer Zone % of HHs % of HHs % of HHs % of HHs % of HHs % of HHs Cycle 23.7 55.4 66.8 55.7 52 80 Radio 2.6 4.1 7.6 9.1 10 16 Fan 0.00 13.5 66.4 18.2 37.5 0.00 Almirah 0.00 13.5 51.7 12.5 27.5 0.00 TV 0.00 24.3 63.5 18.2 37.5 0.00 Fridge 0.00 1.4 26.5 1.1 27.5 0.00 Scooter 5.3 17.6 47.9 10.2 47.5 0.00 Car 0.00 2.7 9 0.00 0.00 0.00 Watch 44.7 66.2 86.7 60.2 82.5 68 Agricultural Assets 71.1 68.9 23.2 78.4 52.5 64 Source: Field Survey (2011) • The data on the households having various physical assets such as Cycle, Radio, Television, Fan, Almariah, Fridge, Scooter, Car, Watch, agricultural assets etc., reveal that having agricultural assets in large number in most of the regions. • It is very striking to note that only in refinery core zone a significant proportion have Television (63.5 percent), Fridges (26.5 percent) and Scooter (47.9 percent) and ARMP core zone (47.5 percent have Scooter, 7.5 percent have Television and 27.5 percent have fridges). This is again due to their permanent employment in the factory. 35
  • 36. Households Source of Borrowing Mining Refinery ARMP Sources Core Buffer Core Buffer Core Buffer Bank 2 (33.3) 12 (80) 57 (69.5) 18 (60) 14 (93.3) 6 (54.5) Cooperative Society 1 (16.7) 0.00 4 (4.9) 2 (6.7) 0.00 0.00 SHG 2 (33.3) 2 (13.3) 6 (7.3) 7 (23.3) 0.00 5 (45.5) Money Lender 1 (16.7) 1 (6.7) 15 (18.3) 3 (10) 1 (6.7) 0.00 Total 6 (100) 15 (100) 82 (100) 30 (100) 15 (100) 11 (100) Source: Field Survey (2011) • A total number of 159 hhs are found borrowing loans from different sources out of total sample of 476 households in the project area. • Sourcewise borrowing reveal that banks are the chief lenders to the sample hhs (33.3 percent in mining core area and 80.0 percent in buffer zone, 69.5 percent in refinery core zone and 60.0 percent in buffer zone; 93.3 percent in ARMP core zone and 54.5 percent in buffer zone) followed Self Help Groups (SHGs). 36
  • 37. Household Health Status HHs Health Status Area Zone Excellent Good Fair Partial Grand Total Core Zone 1 38 . 32 (84.2) 5 (13.2) (2.6) (100) Mining Buffer Zone 1 74 . 47 (63.5) 26 (35.1) (1.4) (100) Core Zone 1 211 (0.5) 140 (66.4) 61 (28.9) 9 (4.3) (100) Refinery Buffer Zone 1 88 . 53 (60.2) 34 (38.6) (1.1) (100) Core Zone 1 40 . 21 (52.5) 18 (45) (2.5) (100) ARMP Buffer Zone 25 . 10 (40) 15 (60) . (100) Source: Field Survey (2011) • A qualitative assessment was done in the project area and based on that assessment health status was ranked as ‘excellent’, ‘good’, ‘fair’, ‘partial’. • A large majority of them have expressed their health status as ‘good’ (84.2 percent in mining core zone and 63.5 percent in buffer area; 66.4 percent in refinery core zone and 60.2 percent in buffer zone; 52.5 percent in ARMP core zone and 40.0 percent in buffer zone) followed by ‘fair’. Very less number of hhs have expressed their health status as ‘partial’. 37
  • 38. Views on Existence of Plant/Mining and Its Influence Area Zone Beneficial partially Helpful No Problems Partially Hazarding Grand Total 33 5 Core . . 38 (100) (86.8) (13.2) Mining 7 61 6 Buffer . 74 (100) (9.5) (82.4) (8.1) 24 56 111 20 Core 211 (100) (11.4) (26.5) (52.6) (9.5) Refinery 1 23 56 8 Buffer 88 (100) (1.1) (26.1) (63.6) (9.1) 3 1 15 21 Core 40 (100) (7.5) (2.5) (37.5) (52.5) ARMP 10 4 Buffer . 11 (44) 25 (100) (40) (16) Source: Field Survey (2011) • The views of the sample households on the influence of the plant/mining in the project area shows that only small proportion mentioned that it is beneficial. • A large majority of them expressed that there are no problems with the plant/ mining. • There are few households in the project area that mentioned about the influence of the project as ‘Partially Hazarding’. 38
  • 39. Details of Household Total Income from Various Sources Monthly Income* The figures in NALCO Wage Total Annual brackets are Area Zone Agriculture NALCO Salaries Wage/Contract Others Total HHs Works Income average monthly Salaries income of the household 1568180 73930 Core Zone 395250 (18.5) 0 97200 (4.6) 2134560 (100) 177880 (4681) 38 (73.5) (3.5) Mining 2708530 483780 446460 Buffer Zone 646200 (15.1) 0 4284970 (100) 357080.8 (4825) 74 (63.2) (11.3) (10.4) 2318580 4996914 993470 2112740 Core Zone 35750449 (77.4) 46172153 (100) 3847679 (18235) 211 (5) (10.8) (2.2) (4.6) Refinery 1485575 720000 2954160 755950 Buffer Zone 366210 (5.8) 6281895 (100) 523491.3 (5949) 88 (23.6) (11.5) (47) (12) 389800 3171300 1059960 184300 Core Zone 72275 (1.5) 4877635 (100) 406469.6 (10162) 40 (8) (65) (21.7) (3.8) ARMP 276000 405400 393520 Buffer Zone 386500 (26.4) 0 1461420 (100) 121785 (5114) 25 (18.9) (27.7) (26.9) Source: Field Survey (2011) • The incomes of the sample households from the various sources clearly show that NALCO salaries constitute chief source (incase of refinery core zone (77.4 percent) and ARMP core zone 65.0 percent). • Followed by NALCO wage/contract salaries • The incomes from agriculture, wage works and others are not very significant. 39
  • 40. Details of New House given by the NALCO If Yes, New House New House Received by respondents Type of house If Not reason for not receiving new house Constructed by whom Area Zone Family Not affected Not lost home NA Yes No Total NALCO Tined Roof member Pending household and homestead received house Core . . 38 (100) 38 (100) . . 20 (52.6) . . 18 (47.4) Mining Buffer . . 74 (100) 74 (100) . . 34 (45.9) . . 40 (54.1) Core . 154 (73) 57 (27) 211 (100) 154 (100) 154 (100) 14 (24.6) 5 (8.8) 2 (3.5) 36 (63.2) Refinery Buffer . . 88 (100) 88 (100) . . 45 (51.1) . . 43 (48.9) Core . 16 (40) 24 (60) 40 (100) 16 (100) 16 (100) 5 (20.8) . 1 (4.2) 18 (75) Ash & Red Mud Pond Buffer . . 25 (100) 25 (100) . . 3 (12) . . 22 (88) Source: Field Survey (2011) • The data on the houses allotted by NALCO to the sample households clearly show that only in refinery core zone (73.0 percent) and ARMP core zone (40.0 percent) significant portion of the households received new houses given by NALCO. 40
  • 41. Households Expectations from NALCO Expectation Area Zone Expecting Job to Job offer for all Access health card Local priority for NA Job regularization husband’s Others Grand Total hereditary Affected People for all all works job/Father's job Core 0 (0.0) 0 (0.0) 5 (13.2) 8 (21.1) 25 (65.8) 0 (0.0) 0 (0.0) 0 (0.0) 38 (100) Mining Buffer 0 (0.0) 0 (0.0) 23 (31.1) 2 (2.7) 40 (54.1) 0 (0.0) 8 (10.8) 1 (1.4) 74 (100) Core 0 (0.0) 94 (44.5) 47 (22.3) 2 (0.9) 11 (5.2) 23 (10.9) 16 (7.6) 18 (8.5) 211 (100) Refinery Buffer 0 (0.0) 0 (0.0) 7 (8) 6 (6.8) 44 (50) 0 (0.0) 14 (15.9) 17 (19.3) 88 (100) Core 0 (0.0) 10 (25) 11 (27.5) 0 (0.0) 11 (27.5) 0 (0.0) 4 (10) 4 (10) 40 (100) ARMP Buffer 0 (0.0) 0 (0.0) 3 (12) 19 (76) 1 (4) 0 (0.0) 0 (0.0) 2 (8) 25 (100) Source: Field Survey (2011) • The expectations of the affected households from the NALCO are in the nature of ‘Job regularisation’ to those who are on contract, followed by ‘Job offer for all affected people’. • And ‘others’ that include adequate water facility, access to free education, new houses for R & R colony, free electricity, monitoring of drainage and cleanliness of the roads etc. 41
  • 42. Conclusions and Way Forward • The most vulnerable sections, viz., scheduled tribes and scheduled castes who have lost lands, houses and other assets could not able to get back their livelihood status as a result of cash compensation policy. • The fact that land scarcity was not there in 80’s as is felt now, Nalco should have adopted land to land policy. • As a result, the above sections were reduced from farmers to casual laborers in farm and non-farm sectors. • In the year 1984 – 85, NALCO started Peripheral Development Programme. • The area which is 10 Kms from Refinery and Mining considered as a Peripheral Area. Under this programme, NALCO has promised to provide all the facilities like health, education, roads, drinking water and infrastructure development (school building etc.) 42
  • 43. The NALCO’s Employment policy is that once the displaced persons, who were provided with employment happened to die due to ill health, their spouses were not provided jobs even on humanitarian grounds, sounds faulty. • Another issue of concern is that NALCO is getting water from the Kerandi River which is 8 km far away from the refinery. • The pipeline is connected to carry water from the river. Due to laying of water pipeline some of the villages have lost their agriculture lands. • It was told that during the pilot survey people made request to the NALCO to get water access for drinking from the pipeline but NALCO has simply denied. • People are saying that there is huge water going wastage due to leakages. • Besides the problems enlisted above, there are certain environmental and ecological problems observed in the field. • In Goudaguda village, there are two pipelines; one is Caustic Soda pipeline and another one is Septic water pipeline which adjacent to this village, due to pipeline leakages the Caustic mud and septic water flows into agriculture fields hence the agriculture fields fertility is affected and the crop production has been decreased. 43
  • 44. • Transport is the major problem from refinery to refinery surrounding villages. • Male employees, are using bicycle or motor cycle for their transport and women trek long distances by walk. • It is very difficult because they have to walk 9 to 10 Kms on Kutcha road to reach refinery and time takes more than one hour. • They are expecting NALCO to provide transport facility to reach refinery and on time. • During Land Acquisition process NALCO has promised to give employment opportunity to all the affected persons in the household. • But later NALCO has disagreed to provide employment opportunity to every affected person in the household. 44
  • 45. • The affected households became addicted to certain social evils such as liquor and drugs (particularly among youth) • It was found that in Analabadi rehabilitation colony most of the employees are addicted to alcohol and tobacco chewing etc. • On the whole, resettlement mechanism adopted by NALCO is not very satisfactory and more over it is found that NALCO did not have CSR initiative. • NALCO has generally passed the money towards Resettlement and rehabilitation of PAFs to the Government of Odisha and under the leadership of the District Collector. 45
  • 46. Way forward • the NALCO has to rethink about affected people’s problems and do some of the welfare activities for the people interms of livelihoods promotion, Health & Education, Skill Development Activities, Infrastructure facilities etc. Livelihoods: • A comprehensive livelihood portfolio needs to be created for the project affected population in all area interms of providing Income Generation Activities (IGAs) and developing skills among the local communities. NALCO needs to this in conjunction with various development departments of the district. Basic Amenities Health: • Nalco has promised to provide health service to the all affected people from the NALCO surrounding villages. • NALCO has issued health cards to the affected people who got permanent employment in the NALCO and in addition to two villages i.e., Ambogam and Goudaguda villages because these two villages are more affected villages by the refinery and ARMP. 46
  • 47. Education: •NALCO is giving free education to the affected people who got employment in NALCO, rest are not accessing the free education. In this area, the literacy rate is very less especially in women literacy rate. •The reason for the above, the people do not have access better education. •Incase NALCO provides free education to the affected villages, there will be much more benefits to the girl child to get education. NALCO must think on this service. Drinking Water: •In all affected villages, people do not have access to protected water. Mostly, they depend on stream water for the drinking and other household needs. •Due to contaminated water people are suffering health problems like water born disease etc. •If NALCO can take this initiative, many people from the surrounding villages are benefited and they can access protected drinking water facility. 47
  • 48. Skill Development Activities and Sustainable Livelihoods • NALCO could not provide any skill development activities to the affected people. Most of the affected people main livelihood source is agriculture and NALCO contract/wage labour works. • Awareness activities and also some training programs should be taken up by the NALCO with some development agency/ the Government to make these people to have alternative livelihoods for their future sustainable livelihoods. • Skill development trainings would certainly help the women folk to opt for alternative livelihoods 48