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Household nutrition and income impacts of using dairy technologies in mixed crop–livestock production systems

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  • Kebebe, E. G.

Abstract

Technologies like improved breeds of dairy cows and improved forages have the potential to significantly increase dairy cow productivity and farmers’ profits in developing countries. However, adoption of such technologies has been low in Ethiopia, despite numerous efforts to disseminate the technologies in the past. Some studies argue that adoption of technologies is low because welfare effects of the technologies could be insignificant or negative to certain groups of farmers. This article employed propensity score matching and inverse probability weighting estimator with regression adjustment to examine the difference in household nutrition and income between adopters and nonadopters of dairy technologies in rural Ethiopia. We find that adoption of cross-bred dairy cows and improved forages increases household nutrition and income. The significant household nutrition and income impact for adopters support the notion that many Ethiopian smallholders have not adopted dairy technologies because adopters and nonadopters of dairy technologies have inherent differences in welfare outcome potentials. The results suggest that interventions that enhance access to farm resources and address barriers to input and output value chains could improve adoption of dairy technologies.

Suggested Citation

  • Kebebe, E. G., 2017. "Household nutrition and income impacts of using dairy technologies in mixed crop–livestock production systems," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 61(4), October.
  • Handle: RePEc:ags:aareaj:313555
    DOI: 10.22004/ag.econ.313555
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    as
    1. Guido W. Imbens, 2015. "Matching Methods in Practice: Three Examples," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 373-419.
    2. Kazushi Takahashi & Christopher B. Barrett, 2014. "The System of Rice Intensification and its Impacts on Household Income and Child Schooling: Evidence from Rural Indonesia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(1), pages 269-289.
    3. John Hoddinott & Derek Headey & Mekdim Dereje, 2015. "Cows, Missing Milk Markets, and Nutrition in Rural Ethiopia," Journal of Development Studies, Taylor & Francis Journals, vol. 51(8), pages 958-975, August.
    4. James Heckman & Justin L. Tobias & Edward Vytlacil, 2001. "Four Parameters of Interest in the Evaluation of Social Programs," Southern Economic Journal, John Wiley & Sons, vol. 68(2), pages 210-223, October.
    5. Garth Holloway & Simeon Ehui & Amare Teklu, 2008. "Bayes estimates of distance-to-market: transactions costs, cooperatives and milk-market development in the Ethiopian highlands," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(5), pages 683-696.
    6. Singh, Inderjit & Squire, Lyn & Strauss, John, 1986. "A Survey of Agricultural Household Models: Recent Findings and Policy Implications," The World Bank Economic Review, World Bank, vol. 1(1), pages 149-179, September.
    7. David McKenzie & John Gibson & Steven Stillman, 2010. "How Important Is Selection? Experimental vs. Non-Experimental Measures of the Income Gains from Migration," Journal of the European Economic Association, MIT Press, vol. 8(4), pages 913-945, June.
    8. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    9. Seife Ayele & Alan Duncan & Asamoah Larbi & Truong Tan Khanh, 2012. "Enhancing innovation in livestock value chains through networks: Lessons from fodder innovation case studies in developing countries," Science and Public Policy, Oxford University Press, vol. 39(3), pages 333-346, April.
    10. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    11. Ahmed, Mohamed A. M. & Jabbar, Mohammad A. & Ehui, Simeon K., 2000. "Household-level economic and nutritional impacts of market-oriented dairy production in the Ethiopian highlands," Research Reports 183002, International Livestock Research Institute.
    12. John Gibson & David McKenzie, 2014. "The Development Impact of a Best Practice Seasonal Worker Policy," The Review of Economics and Statistics, MIT Press, vol. 96(2), pages 229-243, May.
    13. Becerril, Javier & Abdulai, Awudu, 2010. "The Impact of Improved Maize Varieties on Poverty in Mexico: A Propensity Score-Matching Approach," World Development, Elsevier, vol. 38(7), pages 1024-1035, July.
    14. Beegle, Kathleen & De Weerdt, Joachim & Friedman, Jed & Gibson, John, 2012. "Methods of household consumption measurement through surveys: Experimental results from Tanzania," Journal of Development Economics, Elsevier, vol. 98(1), pages 3-18.
    15. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    16. James Heckman & Justin L. Tobias & Edward Vytlacil, 2001. "Four Parameters of Interest in the Evaluation of Social Programs," Southern Economic Journal, John Wiley & Sons, vol. 68(2), pages 210-223, October.
    17. Jera, R. & Ajayi, Olu Clifford, 2008. "Logistic modelling of smallholder livestock farmers’ adoption of tree-based fodder technology in Zimbabwe," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 47(3), pages 1-14, September.
    18. Stefan Dercon & John Hoddinott & Tassew Woldehanna, 2012. "Growth and Chronic Poverty: Evidence from Rural Communities in Ethiopia," Journal of Development Studies, Taylor & Francis Journals, vol. 48(2), pages 238-253, February.
    19. Andrew D. Foster & Mark R. Rosenzweig, 2010. "Microeconomics of Technology Adoption," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 395-424, September.
    20. William J. Burke & Robert J. Myers & Thomas S. Jayne, 2015. "A Triple-Hurdle Model of Production and Market Participation in Kenya's Dairy Market," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(4), pages 1227-1246.
    21. Abhijit Banerjee, 2016. "Policies for a better-fed world," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 152(1), pages 3-17, February.
    22. Nassul Ssentamu Kabunga & Thomas Dubois & Matin Qaim, 2012. "Heterogeneous information exposure and technology adoption: the case of tissue culture bananas in Kenya," Agricultural Economics, International Association of Agricultural Economists, vol. 43(5), pages 473-486, September.
    23. Deininger, Klaus & Jin, Songqing, 2006. "Tenure security and land-related investment: Evidence from Ethiopia," European Economic Review, Elsevier, vol. 50(5), pages 1245-1277, July.
    24. Tavneet Suri, 2011. "Selection and Comparative Advantage in Technology Adoption," Econometrica, Econometric Society, vol. 79(1), pages 159-209, January.
    25. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
    26. Kristjanson, P. & Krishna, A. & Radeny, M. & Kuan, J. & Quilca, G. & Sanchez-Urrelo, A. & Leon-Velarde, C., 2007. "Poverty dynamics and the role of livestock in the Peruvian Andes," Agricultural Systems, Elsevier, vol. 94(2), pages 294-308, May.
    27. Staal, Steven & Delgado, Christopher & Nicholson, Charles, 1997. "Smallholder dairying under transactions costs in East Africa," World Development, Elsevier, vol. 25(5), pages 779-794, May.
    28. Kabunga, Nassul S. & Dubois, Thomas & Qaim, Matin, 2014. "Impact of tissue culture banana technology on farm household income and food security in Kenya," Food Policy, Elsevier, vol. 45(C), pages 25-34.
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    2. Ogundari, Kolawole & Bolarinwa, Olufemi D., 2018. "Impact of agricultural innovation adoption: a meta-analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(2), April.

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