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Technology adoption and the multiple dimensions of food security: the case of maize in Tanzania

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  • Magrini, Emiliano
  • Vigani, Mauro

Abstract

The paper analyses the impact of agricultural technologies on the four pillars of food security for maize farmers in Tanzania. Relying on matching techniques, we use a nationally representative dataset collected over the period 2010/2011 to estimate the causal effects of using improved seeds and inorganic fertilizers on food availability, access, utilization, and stability. Overall, the technologies have a positive and significant impact on food security, but substantial differences between the pillars are observed. Improved seeds show a stronger effect on food availability and access, while - in terms of utilization - both technologies increase the diet diversity and only improved seeds reduce the dependence on staple food. Finally, improved seeds reduce the household vulnerability while inorganic fertilizers guarantee higher resilience. The study supports the idea that the relationship between agricultural technologies and food security is a complex phenomenon, which cannot be limited to the use of welfare indexes as proxy for food security.

Suggested Citation

  • Magrini, Emiliano & Vigani, Mauro, 2015. "Technology adoption and the multiple dimensions of food security: the case of maize in Tanzania," 2015 Conference, August 9-14, 2015, Milan, Italy 212216, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae15:212216
    DOI: 10.22004/ag.econ.212216
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    1. Mulubrhan Amare & Solomon Asfaw & Bekele Shiferaw, 2012. "Welfare impacts of maize–pigeonpea intensification in Tanzania," Agricultural Economics, International Association of Agricultural Economists, vol. 43(1), pages 27-43, January.
    2. Karanja, D. D. & Renkow, M. & Crawford, E. W., 2003. "Welfare effects of maize technologies in marginal and high potential regions of Kenya," Agricultural Economics, Blackwell, vol. 29(3), pages 331-341, December.
    3. Pangaribowo, Evita Hanie & Gerber, Nicolas & Torero, Maximo, 2013. "Food and Nutrition Security Indicators: A Review," Working Papers 147911, University of Bonn, Center for Development Research (ZEF).
    4. Hannah Pieters & Andrea Guariso & Anneleen Vandeplas, 2013. "Conceptual framework for the analysis of the determinants of food and nutrition security," FOODSECURE Working papers 13, LEI Wageningen UR.
    5. Pauw, Karl & Thurlow, James, 2011. "Agricultural growth, poverty, and nutrition in Tanzania," Food Policy, Elsevier, vol. 36(6), pages 795-804.
    6. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    7. Ligon, Ethan & Schechter, Laura, 2004. "Evaluating different approaches to estimating vulnerability," Social Protection Discussion Papers and Notes 30159, The World Bank.
    8. Hidrobo, Melissa & Hoddinott, John & Peterman, Amber & Margolies, Amy & Moreira, Vanessa, 2014. "Cash, food, or vouchers? Evidence from a randomized experiment in northern Ecuador," Journal of Development Economics, Elsevier, vol. 107(C), pages 144-156.
    9. Jalan, Jyotsna & Ravallion, Martin, 2003. "Does piped water reduce diarrhea for children in rural India?," Journal of Econometrics, Elsevier, vol. 112(1), pages 153-173, January.
    10. Subramanian, Shankar & Deaton, Angus, 1996. "The Demand for Food and Calories," Journal of Political Economy, University of Chicago Press, vol. 104(1), pages 133-162, February.
    11. Kathage, Jonas & Qaim, Matin & Kassie, Menale & Shiferaw, Bekele A., 2012. "Seed market liberalization, hybrid maize adoption, and impacts on smallholder farmers in Tanzania," GlobalFood Discussion Papers 131756, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    12. Salvatore Di Falco & Marcella Veronesi & Mahmud Yesuf, 2011. "Does Adaptation to Climate Change Provide Food Security? A Micro-Perspective from Ethiopia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(3), pages 825-842.
    13. Pritchett, Lant & Suryahadi, Asep & Sumarto, Sudarno, 2000. "Quantifying vulnerability to poverty - a proposed measure, applied to Indonesia," Policy Research Working Paper Series 2437, The World Bank.
    14. Bryson, Alex & Dorsett, Richard & Purdon, Susan, 2002. "The use of propensity score matching in the evaluation of active labour market policies," LSE Research Online Documents on Economics 4993, London School of Economics and Political Science, LSE Library.
    15. Bola Amoke Awotide & Aziz Karimov & Aliou Diagne & Tebila Nakelse, 2013. "The impact of seed vouchers on poverty reduction among smallholder rice farmers in Nigeria," Agricultural Economics, International Association of Agricultural Economists, vol. 44(6), pages 647-658, November.
    16. Solomon Asfaw & Menale Kassie & Franklin Simtowe & Leslie Lipper, 2012. "Poverty Reduction Effects of Agricultural Technology Adoption: A Micro-evidence from Rural Tanzania," Journal of Development Studies, Taylor & Francis Journals, vol. 48(9), pages 1288-1305, September.
    17. Smith, Lisa C. & Subandoro, Ali, 2007. "Measuring food security using household expenditure surveys:," Food security in practice technical guide series 3, International Food Policy Research Institute (IFPRI).
    18. 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.
    19. Bekele A. Shiferaw & Tewodros A. Kebede & Liang You, 2008. "Technology adoption under seed access constraints and the economic impacts of improved pigeonpea varieties in Tanzania," Agricultural Economics, International Association of Agricultural Economists, vol. 39(3), pages 309-323, November.
    20. Hoddinott, John & Quisumbing, Agnes, 2003. "Methods for microeconometric risk and vulnerability assessments," Social Protection Discussion Papers and Notes 29138, The World Bank.
    21. Romina Cavatassi & Leslie Lipper & Ulf Narloch, 2011. "Modern variety adoption and risk management in drought prone areas: insights from the sorghum farmers of eastern Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 42(3), pages 279-292, May.
    22. Rusike, J. & Mahungu, N.M. & Jumbo, S. & Sandifolo, V.S. & Malindi, G., 2010. "Estimating impact of cassava research for development approach on productivity, uptake and food security in Malawi," Food Policy, Elsevier, vol. 35(2), pages 98-111, April.
    23. 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.
    24. Headey, Derek D. & Ecker, Olivier, 2012. "Improving the measurement of food security:," IFPRI discussion papers 1225, International Food Policy Research Institute (IFPRI).
    25. Asfaw, Solomon & Shiferaw, Bekele & Simtowe, Franklin & Lipper, Leslie, 2012. "Impact of modern agricultural technologies on smallholder welfare: Evidence from Tanzania and Ethiopia," Food Policy, Elsevier, vol. 37(3), pages 283-295.
    26. Nicole M. Mason & Melinda Smale, 2013. "Impacts of subsidized hybrid seed on indicators of economic well-being among smallholder maize growers in Zambia," Agricultural Economics, International Association of Agricultural Economists, vol. 44(6), pages 659-670, November.
    27. 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.
    28. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-298, January.
    29. Abhijit V. Banerjee & Esther Duflo, 2007. "The Economic Lives of the Poor," Journal of Economic Perspectives, American Economic Association, vol. 21(1), pages 141-168, Winter.
    30. Deon Filmer & Lant Pritchett, 2001. "Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application To Educational Enrollments In States Of India," Demography, Springer;Population Association of America (PAA), vol. 38(1), pages 115-132, February.
    31. 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.
    32. Mendola, Mariapia, 2007. "Agricultural technology adoption and poverty reduction: A propensity-score matching analysis for rural Bangladesh," Food Policy, Elsevier, vol. 32(3), pages 372-393, June.
    33. Christopher Barrett & Robert Bell & Erin Lentz & Daniel Maxwell, 2009. "Market information and food insecurity response analysis," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 1(2), pages 151-168, June.
    34. DiPrete, Thomas A. & Gangl, Markus, 2004. "Assessing bias in the estimation of causal effects: Rosenbaum bounds on matching estimators and instrumental variables estimation with imperfect instruments," Discussion Papers, Research Unit: Labor Market Policy and Employment SP I 2004-101, WZB Berlin Social Science Center.
    35. Bezu, Sosina & Kassie, Girma T. & Shiferaw, Bekele & Ricker-Gilbert, Jacob, 2014. "Impact of Improved Maize Adoption on Welfare of Farm Households in Malawi: A Panel Data Analysis," World Development, Elsevier, vol. 59(C), pages 120-131.
    36. Shiferaw, Bekele & Kassie, Menale & Jaleta, Moti & Yirga, Chilot, 2014. "Adoption of improved wheat varieties and impacts on household food security in Ethiopia," Food Policy, Elsevier, vol. 44(C), pages 272-284.
    37. Fitsum Hagos & Gayathri Jayasinghe & Seleshi Bekele Awulachew & Mekonnen Loulseged & Aster Denekew Yilma, 2012. "Agricultural water management and poverty in Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 43, pages 99-111, November.
    38. Kassie, Menale & Jaleta, Moti & Shiferaw, Bekele A. & Mmbando, Frank & De Groote, Hugo, 2012. "Improved Maize Technologies and Welfare Outcomes In Smallholder Systems: Evidence From Application of Parametric and Non-Parametric Approaches," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 128004, International Association of Agricultural Economists.
    39. Michael Lokshin & Zurab Sajaia, 2011. "Impact of interventions on discrete outcomes: Maximum likelihood estimation of the binary choice models with binary endogenous regressors," Stata Journal, StataCorp LP, vol. 11(3), pages 368-385, September.
    40. Kassie, Menale & Shiferaw, Bekele & Muricho, Geoffrey, 2011. "Agricultural Technology, Crop Income, and Poverty Alleviation in Uganda," World Development, Elsevier, vol. 39(10), pages 1784-1795.
    41. Robert T. Jensen & Nolan H. Miller, 2010. "A Revealed Preference Approach to Measuring Hunger and Undernutrition," NBER Working Papers 16555, National Bureau of Economic Research, Inc.
    42. Amemiya, Takeshi, 1977. "The Maximum Likelihood and the Nonlinear Three-Stage Least Squares Estimator in the General Nonlinear Simultaneous Equation Model," Econometrica, Econometric Society, vol. 45(4), pages 955-968, May.
    43. Alexis Diamond & Jasjeet S. Sekhon, 2013. "Genetic Matching for Estimating Causal Effects: A General Multivariate Matching Method for Achieving Balance in Observational Studies," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 932-945, July.
    44. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
    45. Khonje, Makaiko & Manda, Julius & Alene, Arega D. & Kassie, Menale, 2015. "Analysis of Adoption and Impacts of Improved Maize Varieties in Eastern Zambia," World Development, Elsevier, vol. 66(C), pages 695-706.
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    More about this item

    Keywords

    Food Security and Poverty; Research and Development/Tech Change/Emerging Technologies;

    JEL classification:

    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products

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