Presented by Berhanu Gebremedhin, Dirk Hoekstra and Aklilu Bogale at the LIVES Commodity Value Chain Development Inception Workshop, Addis Ababa, 21–24 January 2013

1. Monitoring, evaluation and learning and
summary of baselines for the LIVES projects
Berhanu Gebremedhin, Dirk Hoekstra and Aklilu Bogale
LIVES Commodity Value Chain Development Inception Workshop
Addis Ababa, 21–24 January 2013

2. ME&L in Lives
• Project RBM&E and learning system
• Learning is facilitated by:
– M&E, and
– the diagnostic, action and impact research results
• Synthesis of results and lessons guides scaling up
and out within and outside target zones
• Baselines enable evaluation of progress towards
project targets

3. RBM&E in LIVES
• Project uses RBM&E
• Focus of M&E is on results, not on inputs
and activities
• Results are structure into:
– Outputs
– Immediate outcomes
– Intermediate outcomes
– Ultimate outcomes (impact)

4. LIVES RBM&E framework
• Resources, activities and results are organized in a logic
model (LM)
• LM is translated into performance framework (PF) and
performance measurement framework (PMF).
• PMF is a framework of result statements, indicators,
Baselines, targets, data sources, data collection
methods, frequency of data collection and
responsibilities.
• PMF is a guide for the RBM&E data collection.

5. LIVES Baselines
• Baseline data collection was conducted in
August 2012
• Unit of observation is PA
• Focus has been on:
– Establishing PA level baselines for the selected
commodity value chains
– Establishing aggregate baselines by zone and
across all the zones

6. Baseline Sampling
• Commodity combinations: 37
• Total number of PAs: 902
• PAs with commodities: 783
• Sample size: 25% of total PAs (= n)
• Proportion representing a commodity
combination: (frequency of
combination)/783 = k
• Sample size of the combination = k*n = l

7. Baseline sampling (2)
• Then to distribute l across zones:
– (Frequency of the combination in the zone/total
frequency of combination) = m
– Then sample size of the combination in a zone =
m*l
• Then randomly sample PAs for the
combination in a zone from among the PAs
that have the combination
• Total number of sampled PAs = 194

8. Baseline method
• Participatory methods used to collect PA
level quantitative data
– Focus group discussions
– Key informant interviews
– Records of OoA, PA admin, DAs, others
• Careful use of triangulation methods

9. Dairy
Indicators
Number of dairy potential PAs 379
Number of households producing milk from local cows Male 146,337
Female 23,965
Number of households producing milk from improved cows Male 14,167
Female 2,587
Proportion of households selling milk (%) Male 9
Female 11
Proportion of households selling butter (%) Male 76
Female 82
Amount of milk produced by (lt./year) Male 109,034,755
Female 18,286,686
Amount of milk produced by milk sellers (lt.) Male 18,539,955
Female 4,228,497
Proportion of milk sold by sellers (%) Male 64
Female 65
Amount of butter produced (kg/year) Male 4,262,409
Female 670,225
Proportion of butter sold by sellers (%) Male 75
Female 79
Revenue of milk sold (Birr) Male 79,212,294
Female 18,628,492
Revenue of butter sold (Birr) Male 345,661,271
Female 58,489,231

10. Cattle and shoats
Indicators Cattle Sheep Goats
Number of potential PAs 219 425 425
Number of households who own male animals Male 145,972 175,421 106,312
Female 15,945 32,275 20,796
Number of households involved in improved Male 45,368 51,116 24,162
beef production Female 2,518 7,765 3,658
Proportion of households selling male animals Male 63 97 96
(ready for sale for meat) (%) Female 57 98 98
Proportion of households selling male animals Male 75 99 97
under improved production (%) Female 83 99 94
Proportion of male animals sold by (ready for Male 34 46 40
sale for meat) (%) Female 25 45 40
Proportion of male animals under improved Male 85 84 71
production sold (%) Female 67 73 55
Revenue of male animals sold (Birr) Male 672,207,736 303,685,814 146,338,850
Female 47,767,549 53,115,742 31,297,294
Revenue of male animals under improved Male 523,352,928 99,111,828 55,509,432
production sold (Birr) Female 21,749,612 21,912,148 6,713,346

11. Poultry
Indicators
Number of potential PAs 383
Number of households involved in local chicken production Male 256,730
Female 53,730
Number of households involved in improved chicken Male 33,969
production Female 9,044
Proportion of households selling local chicken (%) Male 93
Female 92
Proportion of local chicken sold (%) Male 60
Female 97
Female 8,208
Proportion of households selling improved chicken (%) Male 84
Female 91
Proportion of improved chicken sold (%) Male 47
Female 59
Proportion of eggs sold (%) Male 68
Female 78
Revenue of local chicken sold Male 48,142,883
Female 12,547,716
Revenue of improved chicken sold (Birr) Male 5,630,177
Female 1,915,710
Revenue of eggs sold (Birr) Male 101,861,186
Female 21,803,822

12. Honey
Indicators
Number of potential PAs 218
Number of households involved in traditional hive honey Male 34,776
production Female 2,597
Number of households involved in top bar hive honey Male 1209
production Female 17
Number of households involved in frame hive honey Male 12,041
production Female 2,755
Total honey produced from all hive types (kg/year) Male 2,334,352
Female 437,377
Proportion of honey sold (%) Male 81
Female 87
Revenue of crude honey sold (Birr) Male 115,529,440
Female 30,087,039
Revenue of pure honey sold (Birr) Male 135,201,283
Female 43,352,006

13. Vegetables
Onion Tomato Pepper Potato Garlic
Indicators
Number of total potential 355 458 261 399 385
PAs for irrigated agriculture
Number of Male 40,789 38,630 21,687 60,368 21,901
households
involved in Female 10,541 7,990 4,818 8,903 3,776
production
Male 8,515 8,523 2170 11,555 3,016
Area covered (ha) Female 1,664 1850 397 1551 650.6
Male 1,557,259 2,898,036 328,673 1,976,973 185,506
Volume produced
Female 314,892 522,460 48,916 416,082 45,799
(qt)
Male 94 96 95 83 83
Proportion sold Female 93 95 92 85 84
(%)
Proportion of Male 96 99 73 98 98
households Female 98 98 82 99 98
selling (%)
Male 1,064,205,115 1,464,940,755 519,185,560 615,648,666 482,190,990
Revenue (Birr)
Female 219,309,586 284,314,469 81,887,450 155,651,580 146,700,710

14. Vegetables
Cabbage/ Green
Indicators leafy veg. Carrot pepper Shallot
Number of total potential PAs for 390 184 235 162
irrigated agriculture
Number of households Male 24,549 7,126 3,624 8,250
involved in production Female 7,393 1310 427 495
Male 3,611 1180 172 371
Area covered (ha) Female 1228 176 14 22.3
Male 925,534 291,326 18,701 33,793
Volume produced (qt)
Female 286,017 36,603 2,187 1,728
Male 92 99 97 90
Proportion sold (%) Female 88 98 99 93
Proportion of Male 91 98 95 92
households selling (%) Female 96 97 98 90
Male 308,251,268 74,090,211 7,784,439 22,079,245
Revenue (Birr)
Female 99,885,241 10,823,211 930,078 1,191,066

15. Fruits
Apple Banana Orange Mango
Indicators
Number of total potential PAs for irrigated 205 297 224 312
agriculture
Number of households involved in Male 3,827 10,220 7,714 12,130
production
Female 977 1,300 2,169 2,740
Male 30,662 5,720,741 74,798 102,152
Number of trees owned
Female 6,963 538,721 18,351 17,077
Male 5,909 1,240,022 70,561 67,948
Volume produced (qt)
Female 850 131,515 26,108 10,182
Male 87 61 94 85
Proportion sold (%)
Female 53 57 86 85
Male 83 99 95 94
Proportion of households selling (%)
Female 75 100 94 86
Male 9,233,241 264,567,364 68,208,920 44,445,310
Revenue (Birr)
Female 974,569 25,291,917 23,409,275 8,496,003

16. Fruits
Avocado Papaya Guava
Indicators
Number of total potential PAs for irrigated 202 329 143
agriculture
Number of households involved in Male 9,412 8,316 13,297
production
Female 1,823 1,573 3,749
Male 50,895 104,593 381,127
Number of trees owned
Female 11,789 15,562 98,533
Male 32,034.3 36,324 70,364
Volume produced (qt)
Female 3,092 3,685 14,566
Male 95 59 88
Proportion sold (%)
Female 93 67 86
Male 70 85 89
Proportion of households selling (%)
Female 67 88 86
Male 27,749,828 10,394,208 42,680,218
Revenue (Birr)
Female 2,419,077 1,766,246 8,462,807

17. Pictures & some challenges faced
during the baseline survey
West Shoa

18. West Shoa

19. West Shoa

20. South Wello

21. South Wello

22. Finally survived

23. Sidama

24. Sidama

25. THANK YOU
www.lives-ethiopia.org