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Direct and spillover impacts of community-based seed production: Quasi-experimental evidence from Nepal

Published online by Cambridge University Press:  13 January 2021

Shriniwas Gautam*
Affiliation:
International Maize and Wheat Improvement Center, South Asia Regional Office, Lalitpur, Nepal
Dil Bahadur Rahut
Affiliation:
International Maize and Wheat Improvement Center, El Batán, Texcoco, Mexico
Olaf Erenstein
Affiliation:
International Maize and Wheat Improvement Center, El Batán, Texcoco, Mexico
Dilli Bahadur KC
Affiliation:
International Maize and Wheat Improvement Center, South Asia Regional Office, Lalitpur, Nepal
*
*Corresponding author. Email: [email protected]

Summary

Maize production is central to rural livelihoods in the hills of Nepal. Access to affordable improved maize seed has long been a barrier to productivity gains and livelihood improvement. This study evaluates the direct and indirect (spillover) impacts of a community-based seed production program in Nepal using a quasi-experimental method for selected outcome indicators. Our results show that community-based seed production provides a significant positive direct impact on maize income and female leadership opportunities. The impacts were particularly favorable for disadvantaged households (HHs) from lower castes and HHs that owned less land. There is also strong evidence of spillover impacts on improved seed adoption, yield, and household maize self-sufficiency. Community-based seed production thereby could help Nepal attain cereal self-sufficiency and nutritional security as envisioned in the national agricultural development strategy and seed vision.

Type
Research Article
Copyright
© The Author(s), 2021. Published by Cambridge University Press

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References

Abebaw, D. and Haile, M.G. (2013). The impact of cooperatives on agricultural technology adoption: Empirical evidence from Ethiopia. Food Policy 38(1), 8291. https://doi.org/10.1016/j.foodpol.2012.10.003 CrossRefGoogle Scholar
Abedaw, D., Fentie, Y. and Kassa, B. (2010). The impact of a food security program on household food consumption in Northwest Ethiopia: a matching estimator approach. Food Policy 35, 286293.CrossRefGoogle Scholar
Ahmed, M.H. and Mesfin, H.M. (2017). The impact of agricultural cooperatives membership on the wellbeing of smallholder farmers: empirical evidence from eastern Ethiopia. Agricultural and Food Economics 5(6). Springer Open. https://doi.org/10.1186/s40100-017-0075-z CrossRefGoogle Scholar
AICC (2016). Agriculture Diary 2073 (in Nepali). Kathmandu, Nepal: Agriculture Information and Communication Centre, Ministry of Agricultural Development.Google Scholar
Alkire, S. and Meinzen-Dick, R. (2013). The women’s empowerment in agriculture index. World Development 52, 7191.CrossRefGoogle Scholar
Almekinders, C.J.M. and Louwaars, N.P. (2008). The importance of the farmers’ seed system in a functional national seed sector. Journal of New Seeds 4(1–2), 1533. https://doi.org/10.1007/BF00027519 CrossRefGoogle Scholar
Anderson, J.R. and Feder, G. (2007). Agricultural extension. In: Evenson, R. and Pingali, P. (eds), Handbook of Agricultural Economics. Vol 3. Washington, DC: Elsevier, pp. 23432378. https://doi.org/10.1016/S1574-0072(06)03044-1 Google Scholar
Angelucci, M. and Di Maro, V. (2015). Programme evaluation and spillover effects. Journal of Development Effectiveness 8(1), 2243.CrossRefGoogle Scholar
Aramburu, J., Garone, L.F., Maffioli, A., Salazar, L. and López, C.A. (2019). Direct and spillover effects of agricultural technology adoption programs: experimental evidence from the Dominican Republic. IDB Working Paper Series 971. Available at https://publications.iadb.org/publications/english/document/Direct_and_Spillover_Effects_of_Agricultural_Technology_Adoption_Programs_Experimental_Evidence_from_the_Dominican_Republic_en_en.pdf CrossRefGoogle Scholar
Bandiera, O. and Rasul, I. (2006). Social networks and technology adoption in northern Mozambique. The Economic Journal 116(514), 869902.CrossRefGoogle Scholar
Bennett, L. (2005). Gender, Caste and Ethnic Exclusion in Nepal: Following the Policy Process from Analysis to Action. In: New Frontiers of Social Policy, 2005. Available at http://documents1.worldbank.org/curated/en/201971468061735968/pdf/379660Nepal0GSEA0Summary0Report01PUBLIC1.pdf (accessed 13 December 2019).Google Scholar
Bernard, T., Taffesse, A.S. and Gabre-Madhin, E. (2008). Impact of cooperatives on smallholders’ commercialization behavior: evidence from Ethiopia. Agricultural Economics 39(2), 147161. https://doi.org/10.1111/j.1574-0862.2008.00324.x CrossRefGoogle Scholar
CBS. (2015). Annual Household Survey. Central Bureau of Statistics - National Planning Commission Secretariat. Kathmandu, Nepal: Government of Nepal.Google Scholar
Chaudhry, A.M. (2018). Improving on-farm water use efficiency: Role of collective action in irrigation management. Water Resources and Economics 22, 418. https://doi.org/10.1016/j.wre.2017.06.001 CrossRefGoogle Scholar
Christoplos, I. (2010). Mobilizing the potential of rural and agricultural extension. Rome: Danish Institute for International Studies. Available at http://www.fao.org/3/i1444e/i1444e.pdf (accessed 6 December 2019).Google Scholar
CIMMYT. (2017a). Baseline Report: Nepal Seed and Fertilizer Baseline Survey. Kathmandu, Nepal: Nepal Seed and Fertilizer Project, CIMMYT.Google Scholar
CIMMYT. (2017b). Strategic Plan 2017-2022. Improving Livelihoods through Maize and Wheat Science. Available at https://repository.cimmyt.org/xmlui/bitstream/handle/10883/17675/57993.pdf Google Scholar
Cochran, W.G. and Rubin, D.B. (1973). Controlling bias in observational studies: A review. Sankhyā: The Indian Journal of Statistics, Series A (1961-2002) 35(4), 417446.Google Scholar
Cunguara, B. and Darnhofer, I. (2011) Assessing the impact of improved agricultural technologies on household income in rural Mozambique. Food Policy 36(3), 378390.CrossRefGoogle Scholar
Dhakal, S.C., Regmi, P.P., Thapa, R.B., Sah, S.K. and Khatri-Chhetri, D.B. (2015). Productivity and profitability of maize-pumpkin mix cropping in Chitwan, Nepal. Journal of Maize Research and Development 1(1) Nepal Journals Online (JOL), 112122. https://doi.org/10.3126/jmrd.v1i1.14249 CrossRefGoogle Scholar
Emerick, K, de Janvry, A., Sadoulet, E. and Dar, MH (2016). Technological innovations, downside risk, and the modernization of agriculture. American Economic Review 106(6), 15371561.CrossRefGoogle Scholar
FAO (2019b). Statistical Database. Available at http://www.fao.org/faostat/en/#compare (accessed 12 April 2019).Google Scholar
Fischer, E. and Qaim, M. (2012) Linking smallholders to markets: Determinants and impacts of farmer collective action in Kenya. World Development 40(6), 12551268. https://doi.org/10.1016/j.worlddev.2011.11.018 Google Scholar
Foster, A D. and Rosenzweig, M. (1995). Learning by doing and learning from others: Human capital and technical change in agriculture. Journal of political Economy 103(6), 11761209.CrossRefGoogle Scholar
Gautam, A.P. and Shivakoti, G.P. (2005). Conditions for successful local collective action in forestry: Some evidence from the Hills of Nepal. Society and Natural Resources 18(2), 153171. https://doi.org/10.1080/08941920590894534 CrossRefGoogle Scholar
Gautam, S., Schreinemachers, P., Uddin, M.N. and Ramasamy, S. (2017). Impact of training vegetable farmers in Bangladesh in integrated pest management (IPM). Crop Protection 102, 161169. https://doi.org/10.1016/j.cropro.2017.08.022 CrossRefGoogle Scholar
Gebremedhin, B., Jaleta, M. and Hoekstra, D. (2009) Smallholders, institutional services, and commercial transformation in Ethiopia. Agricultural Economics 40, 773787. https://doi.org/10.1111/j.1574-0862.2009.00414.x CrossRefGoogle Scholar
Ghimire, Y.N., Timsina, K.P., Devkota, D., Gautam, S., Choudhary, D. and Poudel, H.K. (2018). Dynamics of maize consumption and its implication to maize technology demand in Nepal. In: 13th Asian Maize Conference and Expert Consultation on Maize for Food, Feed, Nutrition and Environmental Security, 2018, pp. 184–190. Available at https://repository.cimmyt.org/bitstream/handle/10883/20035/60204.pdf?sequence=1&isAllowed=y Google Scholar
GoN. (2013). Nepal Seed Vision: Seed Sector Development Strategy 2013-2025. Seed Quality Control Center. Lapitpur, Nepal. Available at http://sqcc.gov.np/images/category/National-Seed-Vision-2013-2025-En.pdf Google Scholar
Heckman, J.J., Ichimura, H. and Todd, P.E. (1997). Matching as an econometric evaluation estimator: Evidence from evaluating a job training programme. The Review of Economic Studies 64(4), 605654. https://doi.org/10.2307/2971733 CrossRefGoogle Scholar
Holloway, G., Shankar, B. and Rahmanb, S. (2002). Bayesian spatial probit estimation: a primer and an application to HYV rice adoption. Agricultural Economics, 27(3), 383402.CrossRefGoogle Scholar
Imbens, G.W. and Wooldridge, J.M. (2009). Recent developments in the econometrics of program evaluation. Journal of Economic Literature 47(1), 586. https://doi.org/10.1257/jel.47.1.5 CrossRefGoogle Scholar
KC, G., Karki, T.B., Shrestha, J. and Achhami, B.B. (2015). Status and prospects of maize research in Nepal. Journal of Maize Research and Development 1(1). Nepal Journals Online (JOL), 19. https://doi.org/10.3126/jmrd.v1i1.14239 CrossRefGoogle Scholar
Krishna, V.V., Feleke, S., Marenya, P., Abdoulaye, T. and Erenstein, O. (2019). A Strategic Framework for Adoption and Impact Studies in the CGIAR Research Program on Maize (CRP MAIZE). CIMMYT - IITA, Texcoco, Mexico, p. 24. Available at https://repository.cimmyt.org/handle/10883/20220 Google Scholar
La Rovere, R, Mathema, S., Dixon, J., Mercado, P.A. and Gurung, K. (2009). Assessing impacts of maize research through a livelihoods lens: findings and lessons from the hill regions of Mexico and Nepal. Impact Assessment and Project Appraisal 27, 233245. https://doi.org/10.3152/146155109X467597 CrossRefGoogle Scholar
LI-BIRD & The Development Fund (TDF). (2017). Farmers’ Seed Systems in Nepal: Review of National Legislations. Local Initiatives for Biodiversity, Research, and Development. Pokhara, Nepal. Available at http://www.fao.org/fileadmin/user_upload/faoweb/plant-treaty/submissions/Farmers_Seed_Systems_in_Nepal_Review_of_National_Legislations.pdf Google Scholar
Maertens, A. (2010). Social Networks, Identity and Economic Behavior: Empirical Evidence from India. Dissertation submitted to Graduate School of Cornell University. Available at https://ecommons.cornell.edu/handle/1813/17574 Google Scholar
McCarthy, N., Dutilly-Diané, C. and Drabo, B. (2004). Cooperation, collective action and natural resources management in Burkina Faso. Agricultural Systems 82(3). Elsevier Ltd, 233255. https://doi.org/10.1016/j.agsy.2004.07.005 CrossRefGoogle Scholar
Mendola, M. (2007). Agricultural technology adoption and poverty reduction: A propensity-score matching analysis for rural Bangladesh. Food Policy 32(3), 372393. https://doi.org/10.1016/j.foodpol.2006.07.003 CrossRefGoogle Scholar
Ministry of Health (MoH)-Nepal/ New ERA/ ICF. (2017). Demographic and Health Survey 2016. Ministry of Health, Kathmandu, Nepal. Available at https://www.dhsprogram.com/pubs/pdf/fr336/fr336.pdf Google Scholar
MoAD. (2014). Agriculture Development Strategy (ADS). Signhdurbar, Kathmandu, Nepal: Ministry of Agricultural Development.Google Scholar
MoAD. (2016). Statistical information on Nepalese agriculture. Kathmandu, Nepal: Ministry of Agricultural Development.Google Scholar
Mwaura, F. (2014). Effect of farmer group membership on agricultural technology adoption and crop productivity in Uganda. African Crop Science Journal 22, 917927. Available at https://www.ajol.info/index.php/acsj/article/view/108510/98319.Google Scholar
Olson, M. (1971). The Logic of Collective Action: Public Goods and the Theory of Groups. Cambridge, MA: Harvard Economic Studies.Google Scholar
Ostrom, E. (1990). Governing the Commons: The Evolution of Institutions for Collective Action. Cambridge, UK: Cambridge University Press. https://doi.org/10.1017/cbo9780511807763 CrossRefGoogle Scholar
Pandey, S. and Fusaro, V. (2020). Food insecurity among women of reproductive age in Nepal: prevalence and correlates. BMC Public Health 20, 175. https://doi.org/10.1186/s12889-020-8298-4 CrossRefGoogle ScholarPubMed
Piesse, J. and Thirtle, C. (2010). Agricultural R & D, technology and productivity. Philosophical Transactions of the Royal Society B: Biological Sciences. Royal Society 365, 30353047. https://doi.org/10.1098/rstb.2010.0140 CrossRefGoogle ScholarPubMed
Pretty, J.N. (1995). Participatory learning for sustainable agriculture. World Development 23(8), 12471263. https://doi.org/10.1016/0305-750X(95)00046-F CrossRefGoogle Scholar
Priscilla, L and Chauhan, A.K (2019). Economic impact of cooperative membership on dairy farmers in Manipur: a propensity score matching approach. Agricultural Economics Research Review 32(1). Diva Enterprises Private Limited, 117. https://doi.org/10.5958/0974-0279.2019.00010.7 CrossRefGoogle Scholar
Rajalahti, R. and Swanson, B.E. (2010). Strengthening agricultural extension and advisory systems: procedures for assessing, transforming, and evaluating extension systems. Agriculture and rural development discussion paper; no. 45. Washington, DC: World Bank. 1 January.Google Scholar
Ranum, P., Peña-Rosas, J.P. and Garcia-Casal, M.N. (2014). Global maize production, utilization, and consumption. Annals of the New York Academy of Sciences 1312(1). Blackwell Publishing Inc., 105112. https://doi.org/10.1111/nyas.12396 CrossRefGoogle ScholarPubMed
Ravnborg, H.M. (2004). Collective action in pest management. 2020 Vision Focus Brief 11(11). Washington, D.C.: International Food Policy Research Institute. Available at http://ebrary.ifpri.org/cdm/ref/collection/p15738coll2/id/129304 (accessed 11 December 2019).Google Scholar
Rivera, W.M. and Qamar, M.K. (2003). Agricultural Extension, Rural Development and the Food Security Challenge. Rome: Food and Agriculture Organization.Google Scholar
Robins, J., Sued, M., Lei-Gomez, Q. and Rotnitzky, A.G. (2007). Comment: Performance of double-robust estimators when ‘Inverse Probability’ weights are highly variable. Statistical Science 22(4), 544559. https://doi.org/10.1214/07-STS227D CrossRefGoogle Scholar
Rosenbaum, P.R. (2000). Observational Studies. New York, NY: Springer.Google Scholar
Rosenbaum, P.R. and Rubin, D.B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika 70(1). JSTOR, 41. https://doi.org/10.2307/2335942 CrossRefGoogle Scholar
Rubin, D.B. Thomas, N. (2000). Combining propensity score matching with additional adjustments for prognostic covariates. Journal of the American Statistical Association 95, 573585. https://doi.org/10.1080/01621459.2000.10474233 CrossRefGoogle Scholar
Schreinemachers, P., Wu, M-H., Uddin, M.N., Ahmad, S. and Hanson, P. (2016). Farmer training in off-season vegetables: Effects on income and pesticide use in Bangladesh. Food Policy 61. Elsevier Ltd, 132140. https://doi.org/10.1016/j.foodpol.2016.03.002 CrossRefGoogle Scholar
Shumeta, Z. and D’Haese, M. (2016). Do coffee cooperatives benefit farmers? An exploration of heterogeneous impact of coffee cooperative membership in Southwest Ethiopia. International Food and Agribusiness Management Review 19(4). Wageningen Academic Publishers, 3752. https://doi.org/10.22434/ifamr2015.0110 CrossRefGoogle Scholar
Smith, J. and Todd, P. (2005). Does matching overcome LaLonde’s critique of nonexperimental estimators? Journal of Econometrics 125(1–2). Elsevier, 305–353.CrossRefGoogle Scholar
Thapa, G., Gautam, S., Rahut, D.B. and Choudhary, D. (2020). Cost advantage of biofortified maize for the poultry feed industry and its implications for value chain actors in Nepal. Journal of International Food & Agribusiness Marketing, 125. https://doi.org/10.1080/08974438.2020.1780179 CrossRefGoogle Scholar
Timsina, K.P., Ghimire, Y.N. and Lamichhane, J. (2016). Maize production in mid hills of Nepal: from food to feed security. Journal of Maize Research and Development 2, 2029.CrossRefGoogle Scholar
Tiwari, P., Ortiz-Ferrara, G., Gurung, D.B., Dhakal, R., Katuwal, R.B., Hamal, B.B., Gadal, N. and Virk, D.S. (2010) Rapid gains in food security from new maize varieties for complex hillside environments through farmer participation. Food Security 2, 317325. https://doi.org/10.1007/s12571-010-0078-z CrossRefGoogle Scholar
Tiwari, T.P., Brook, R.M. and Sinclair, F.L. (2004). Implications of hill farmers’ agronomic practices in Nepal for crop improvement in maize. Experimental Agriculture 40(4), 397417. https://doi.org/10.1017/S001447970400208X CrossRefGoogle Scholar
Tiwari, T.P., Ortiz-Ferrara, G, Urrea, C., Katuwal, R.B., Koirala, K.B., Prasad, R.C., Gurung, D.B., Sharma, D., Hamal, B.B., Bhandari, B. and Thapa, M. (2009b). Rapid gains in yield and adoption of new maize varieties for complex hillside environments through farmer participation. II. Scaling-up the adoption through community-based seed production (CBSP). Field Crops Research 111, 144151. https://doi.org/10.1016/j.fcr.2008.11.007 CrossRefGoogle Scholar
Tiwari, T.P., Vir, D.S. and Sinclair, F.L. (2009a). Rapid gains in yield and adoption of new maize varieties for complex hillside environments through farmer participation: I. Improving options through participatory varietal selection (PVS). Field Crops Research 111, 137143. https://doi.org/10.1016/j.fcr.2008.11.008 CrossRefGoogle Scholar
Wanyama, F.O., Develtere, P. and Pollet, I. (2009). Reinventing the wheel? African cooperatives in a liberalized economic environment. Annals of Public and Cooperative Economics 80(3), 361392. https://doi.org/10.1111/j.1467-8292.2009.00390.x CrossRefGoogle Scholar
Witcombe, J., Devkota, K. and Joshi, K. (2010). Linking community-based seed producers to markets for a sustainable seed supply system. Experimental Agriculture, 46(4), 425437. doi: 10.1017/s001447971000061x CrossRefGoogle Scholar
Woldu, T., Tadesse, F. and Waller, M.K. (2013). Women’s participation in agricultural cooperatives in Ethiopia: ESSP working papers. Washington, DC: International Food Policy Research Institute.Google Scholar
Wooldridge, J.M. (2007). Inverse probability weighted estimation for general missing data problems. Journal of Econometrics 141(2), 12811301. https://doi.org/10.1016/j.jeconom.2007.02.002 CrossRefGoogle Scholar
Wooldridge, J.M. (2010). Econometric Analysis of Cross Section and Panel Data. Cambridge, MA: The MIT Press.Google Scholar
Wossen, T., Abdoulaye, T., Alene, A., Haile, M.G., Feleke, S., Olanrewaju, A. and Manyong, V. (2017). Impacts of extension access and cooperative membership on technology adoption and household welfare. Journal of Rural Studies 54, 223233. https://doi.org/10.1016/j.jrurstud.2017.06.022 CrossRefGoogle ScholarPubMed
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