Indira Gandhi Institute for Development Studies(IGIDR), and the International Food Policy Research Institute (IFPRI) on
‘Harnessing Opportunities to Improve Agri-Food Systems’ on July 24-25 , 2014 in New Delhi.
The two day conference aims to discuss the agricultural priority of the government and develop a road map to realise these priorities for improved agri food systems.
2. Enormous spatial variation in Indian agriculture
Crops cultivated, resource base (irrigation), technological
progress & input usage pattern, productivity and output
levels, ...
Constitutionally agriculture is a state subject
Agricultural performance in different regions
likely to have differential impacts
Understanding the spatial aspects is critical for
policy analysis
IGIDR-IFPRI Conference on “Harnessing Opportunities to Improve Agri-Food Systems”, 24-25 July, 2014 2
Spatial dimension in Indian agriculture
3. Seeks to understand the spatial dimensions of
some agricultural policy choices
Total factor productivity improvement
Fertiliser subsidy reduction
Irrigation expansion
Greater market integration
Removal of agricultural export barriers
Using a spatial CGE model
Framework allows for inter-state mobility of labour and
transmission of price changes across the country
IGIDR-IFPRI Conference on “Harnessing Opportunities to Improve Agri-Food Systems”, 24-25 July, 2014 3
This presentation
4. Based on the following study:
Ganesh-Kumar, A. and M. Panda (2014) “Some Policy Options for
Indian Agriculture: Analysis Using a Regional Computable General
Equilibrium Model”, report prepared for the World Bank
References should cite the above mentioned study
These are the authors’ views – not to be
attributed to IGIDR / IEG / World Bank
IGIDR-IFPRI Conference on “Harnessing Opportunities to Improve Agri-Food Systems”, 24-25 July, 2014 4
This presentation …
5. Model is based on a “regional” SAM for 2006-07
23 regions
24 commodities: 15 agricultural, 5 industrial & 4
services
32 production activities: 23 regional agriculture + 9 non-
agriculture
6 labour types: location (rural/urban) & skill level
(unskilled, semi-skilled and skilled)
5 capital types: 3 agricultural (region-specific) & 2 non-
agricultural
137 household types: location by States and Rural /
Urban & 3 MPCE percentiles
IGIDR-IFPRI Conference on “Harnessing Opportunities to Improve Agri-Food Systems”, 24-25 July, 2014 5
Features of the spatial CGE model
6. Captures the spatial location of agricultural production
and household consumption
Agricultural supply and household behaviour are modeled at the
State level
Non-agriculture supply is “national”
Government is an aggregate of Central and State
governments
Nationally clearing commodity & labour markets with
inter-state price differentials through fixed coefficients
Locally clearing markets for land (irrigated/rain-fed)
IGIDR-IFPRI Conference on “Harnessing Opportunities to Improve Agri-Food Systems”, 24-25 July, 2014 6
Features of the spatial CGE model …
7. Agricultural supply
determined
regionally
Activity-commodity
approach
o One activity produces
more than one
commodity
o A commodity is
produced by more than
one activity
State-specific input
& output prices
National commodity
output = sum of
state outputs
IGIDR-IFPRI Conference on “Harnessing Opportunities to Improve Agri-Food Systems”, 24-25 July, 2014 7
Features of the spatial CGE model …
Agricultural supply
Raw materials
Labour by type Regional Paddy
agriculture
Irrigated land activity Wheat
maximizes
Rainfed land profits …
Other ag. Capital
Optimal factor demand Optimal output mix
Total cost = Total revenue
8. Non-agricultural supply determined nationally
National treatment of factors used in non-agriculture
Distinguishes several prices – imports, exports,
domestic market price, producer price
Consumer price index is the numeraire
Household are spatially located
Income from factor endowment, government transfers and
foreign remittances
Outlays on direct taxes, savings, and consumption
Commodity demands through piece-wise Linear Expenditure
System
IGIDR-IFPRI Conference on “Harnessing Opportunities to Improve Agri-Food Systems”, 24-25 July, 2014 8
Features of the spatial CGE model …
9. Government
Revenue from taxes (direct, domestic indirect, tariffs), and
from its ownership of capital
Expenditure on subsidies, transfers and current consumption
Savings is residually determined
Balance-of-Payments
Commodity imports & exports determined endogenously
through Armington approach
o Domestically produced and traded goods are imperfect substitutes
Various foreign flows fixed in Dollar terms – Net factor
income, remittances, government borrowings
Capital flows clear the forex market at fixed exchange rate
IGIDR-IFPRI Conference on “Harnessing Opportunities to Improve Agri-Food Systems”, 24-25 July, 2014 9
Features of the spatial CGE model …
10. Savings – investment
Investment levels are exogenous
oDemand for capital goods – as fixed proportion of total fixed
capital investment
oStock (working capital) requirements for each commodity fixed in
real terms
Rupee savings from households, government & foreign
are endogenous
Savings adjust to meet investment targets
Johansen closure – tax rate for top 20% of households is
endogenous
oHousehold disposable income & hence private savings
oGovernment revenue & hence government savings
IGIDR-IFPRI Conference on “Harnessing Opportunities to Improve Agri-Food Systems”, 24-25 July, 2014 10
Features of the spatial CGE model …
11. 11IGIDR-IFPRI Conference on “Harnessing Opportunities to Improve Agri-Food Systems”, 24-25 July, 2014
3% TFP exogenous rise in all
States
12. Autonomous rise in productivity
Technological change
oResearch outcome – Better seed varieties
oImprovements in extension
Modern farm equipment
Improvements in farmer/worker skills
Farm / natural resources management practices
IGIDR-IFPRI Conference on “Harnessing Opportunities to Improve Agri-Food Systems”, 24-25 July, 2014 12
3% TFP exogenous rise in all States
14. Aggregate agricultural output rises in all states
2.79% in Maharashtra to 3.13% in Jammu and Kashmir
Almost all gain in output is neutralised by fall in
agricultural prices in all states
Hardly any gain in income for most households
Efficiency gain primarily through changes in
cropping pattern / output mix within each state
Changes in shares of states across states
National output of commodities doesn’t change much
IGIDR-IFPRI Conference on “Harnessing Opportunities to Improve Agri-Food Systems”, 24-25 July, 2014 14
Impacts of TFP rise …
16. 16IGIDR-IFPRI Conference on “Harnessing Opportunities to Improve Agri-Food Systems”, 24-25 July, 2014
TFP rise in all States
+
50% fertilizer subsidy reduction
18. Fertilizer price rises by 4%, demand falls by 6%
Level and direction of change in state-level
agricultural output is not same
Large output loss – J&K, PB, RJ, AS, MP, MH
Value added changes in states are modest but
mostly similar in direction
Considerable changes in the national agricultural
commodity output basket
Rise – Vegetables, other crops, livestock, fishery & fibres
Fall – Foodgrains, sugarcane, oilseeds, plantation crops,
fruits, dairy
IGIDR-IFPRI Conference on “Harnessing Opportunities to Improve Agri-Food Systems”, 24-25 July, 2014 18
Impacts of TFP rise + fertilizer subsidy
reduction …
20. 20IGIDR-IFPRI Conference on “Harnessing Opportunities to Improve Agri-Food Systems”, 24-25 July, 2014
TFP rise in all States
+
Irrigation expansion in all states
21. 5% of rain-fed land in each state is converted
into irrigated land
Stock of irrigated land in each state expands by
more than 5% by state-specific cropping
intensity factor
IGIDR-IFPRI Conference on “Harnessing Opportunities to Improve Agri-Food Systems”, 24-25 July, 2014 21
TFP rise in all States +
Irrigation expansion in all states
23. Favourable impacts on agricultural output in
most states
But, output in Punjab, Haryana, UP, Bihar & WB is
slightly lower than in TFP only scenario
Impact on value added shows variation in
magnitude & direction
Negative in about half the states
National-level output
Rise – sugarcane, fibres, fruits & livestock
Fall – cereals, pulses, poultry & fishery
IGIDR-IFPRI Conference on “Harnessing Opportunities to Improve Agri-Food Systems”, 24-25 July, 2014 23
Impacts of TFP + Irrigation …
24. 24IGIDR-IFPRI Conference on “Harnessing Opportunities to Improve Agri-Food Systems”, 24-25 July, 2014
TFP rise in all States
+
Greater market integration
25. 3% reduction in inter-state price differentials of
goods & all types of labour
Rise in marketing efficiency
Improved mobility of goods & factors within the country
Price-differentials in agricultural commodities
derived from NAS data on state-wise value of
commodity output and agricultural data on
state-wise (physical) quantity output
IGIDR-IFPRI Conference on “Harnessing Opportunities to Improve Agri-Food Systems”, 24-25 July, 2014 25
TFP rise in all States +
Greater market integration
27. Gainers in terms of agricultural output
Delhi, Rajasthan, Uttarakhand, J&K, Maharashtra,
Karnataka & Kerala
Output of several commodities rise
Milk (9%), oilseeds (5.6%), fibre (4.5%), sugarcane
(4.4%), fruits (2.3%) & vegetables (1.5%)
Unit price of agriculture falls in almost all states
leading to fall in commodity prices
IGIDR-IFPRI Conference on “Harnessing Opportunities to Improve Agri-Food Systems”, 24-25 July, 2014 27
Impacts of TFP rise + market integration …
28. Integration of labour markets helps improve
value added in agriculture even though output
price falls
Rise in real income of all households
Rural – Output & value added effect > over price fall
Urban – Price fall
IGIDR-IFPRI Conference on “Harnessing Opportunities to Improve Agri-Food Systems”, 24-25 July, 2014 28
Impacts of TFP rise + market integration …
29. 29IGIDR-IFPRI Conference on “Harnessing Opportunities to Improve Agri-Food Systems”, 24-25 July, 2014
TFP rise in all States
+
Export barriers removal
30. Higher export at the prevailing prices
10% increase in intercept of export demand
function
IGIDR-IFPRI Conference on “Harnessing Opportunities to Improve Agri-Food Systems”, 24-25 July, 2014 30
Removal of export barriers
35. Agricultural output rises everywhere
Exceptions – WB, MP & Haryana
Agricultural value added also rise everywhere
Exceptions – WB, MP, Haryana, Punjab, Tamil Nadu
Agricultural prices fall in several states
Household real income rises everywhere for
everyone
Sole exception urban-rich in WB
IGIDR-IFPRI Conference on “Harnessing Opportunities to Improve Agri-Food Systems”, 24-25 July, 2014 35
Impacts of combined scenario …
36. 36IGIDR-IFPRI Conference on “Harnessing Opportunities to Improve Agri-Food Systems”, 24-25 July, 2014
Concluding remarks
37. Base output pattern within and across states
Expenditure elasticities of various commodities
across household classes
Absence of any other shock on the demand side
Immobility of certain factors (land) combined
with full employment specification
Full employment specification may not be unreasonable
w.r.t. land given the small land holding sizes
IGIDR-IFPRI Conference on “Harnessing Opportunities to Improve Agri-Food Systems”, 24-25 July, 2014 37
Main drivers of the results
38. Significant spatial inter-relationships exists and
need to be recognised
Over and above the importance of inter-sectoral and inter-
agent inter-relationships
TFP scenario shows that significant scope to
improve resource allocation across states exist
Over and above resource allocation across commodities
Spatial impacts of agricultural policies vary
substantially
Depend upon the policy change itself & the combination of
policies
IGIDR-IFPRI Conference on “Harnessing Opportunities to Improve Agri-Food Systems”, 24-25 July, 2014 38
Concluding remarks
39. Objective of the policy needs to be stated clearly
Output or household income (proxy for welfare) or multiple
objectives?
Combined scenario has worthy multiple objectives
E.g., fertilizer subsidy removal may be desirable from fiscal &
environmental perspectives
But income gain is lower for several households than in the
“TFP + Market integration” scenario
IGIDR-IFPRI Conference on “Harnessing Opportunities to Improve Agri-Food Systems”, 24-25 July, 2014 39
Concluding remarks …