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Access, adoption, and diffusion

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  • Kumar, Neha
  • Quisumbing, Agnes R.

Abstract

This paper assesses long-term impacts of vegetable and polyculture fish production technologies on a variety of measures of household and individual well-being in Bangladesh. In 1996–1997, households were surveyed in three sites where nongovernmental organizations and extension programs were disseminating agricultural technologies—about two to six years after the technologies were first introduced. The same households were reinterviewed in 2006–2007. Using nearest-neighbor matching to construct a statistical comparison group, we find that long-term impacts differ across agricultural technology interventions and across outcomes. Long-term impacts on household-level consumption expenditures and asset accumulation are, in general, insignificant in the improved vegetables sites, but are positive and significant in the individually operated fishponds sites. Interestingly, impacts on individual nutrient intake, nutrient adequacy, and nutritional status do not necessarily follow the pattern of household-level impacts. The improved vegetable program, despite insignificant or even negative impacts at the household level, seems to have resulted in increases in vitamin A consumption (and iron consumption for men), an increase in average weight-for-age Z-scores among children, and a reduction in the proportion of girls stunted and the proportion of boys underweight. Women in the improved vegetable program also experienced increases in body mass index. Impacts in the group-operated fishponds sites on nutrient intake are mostly negative, although we do find improvements in weight-for-age Z-scores and a decline in stunting and wasting among boys. Although one would expect significant improvements in nutritional status in the individually operated fishponds sites, impacts on nutritional status are mixed. Nutrient availability and the fraction of members consuming the recommended daily allowances have improved significantly for most nutrients considered, among men and women. Although indicators of long-term nutritional status worsen, short-term nutritional status indicators improve. The fraction of women with low hemoglobin levels also decreases significantly. We argue that the differences in long-term and short-term impacts arise from several causes: differences in dissemination and targeting mechanisms that may affect what types of households adopt and benefit from the technologies; initial existing differences between control and treatment groups (controlled for using matching methods); the degree to which a technology is divisible and easily disseminated outside the treatment group; and finally, intrahousehold allocation processes that determine how gains from the new technology are allocated among household members.

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Bibliographic Info

Paper provided by International Food Policy Research Institute (IFPRI) in its series IFPRI discussion papers with number 995.

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Date of creation: 2010
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Handle: RePEc:fpr:ifprid:995

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Keywords: agricultural technology adoption; long-term impacts; Nutrition;

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References

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  1. Sunding, David & Zilberman, David, 2001. "The agricultural innovation process: Research and technology adoption in a changing agricultural sector," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 1, chapter 4, pages 207-261 Elsevier.
  2. Heckman, James J & Ichimura, Hidehiko & Todd, Petra E, 1997. "Matching as an Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Wiley Blackwell, vol. 64(4), pages 605-54, October.
  3. Alderman, Harold & Watkins, Susan Cotts & Kohler, Hans-Peter & Maluccio, John A. & Behrman, Jere R., 2000. "Attrition in longitudinal household survey data," FCND discussion papers 96, International Food Policy Research Institute (IFPRI).
  4. John A. Maluccio & John Hoddinott & Jere R. Behrman & Reynaldo Martorell & Agnes R. Quisumbing & Aryeh D. Stein, 2009. "The Impact of Improving Nutrition During Early Childhood on Education among Guatemalan Adults," Economic Journal, Royal Economic Society, vol. 119(537), pages 734-763, 04.
  5. Quisumbing, Agnes R. & de la Briere, Benedicte, 2000. "Women's assets and intrahousehold allocation in rural Bangladesh," FCND briefs 86, International Food Policy Research Institute (IFPRI).
  6. Daniel O. Gilligan & John Hoddinott, 2007. "Is There Persistence in the Impact of Emergency Food Aid? Evidence on Consumption, Food Security, and Assets in Rural Ethiopia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(2), pages 225-242.
  7. Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LP, vol. 4(3), pages 290-311, September.
  8. Agnes R. Quisumbing & John A. Maluccio, 2003. "Resources at Marriage and Intrahousehold Allocation: Evidence from Bangladesh, Ethiopia, Indonesia, and South Africa," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(3), pages 283-327, 07.
  9. King , Elizabeth M. & Behrman, Jere R., 2008. "Timing and duration of exposure in evaluations of social programs," Policy Research Working Paper Series 4686, The World Bank.
  10. Peter Davis, 2007. "Discussions Among the Poor: Exploring Poverty Dynamics With Focus Groups in Bangladesh," Working Papers id:1106, eSocialSciences.
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Citations

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Cited by:
  1. Quisumbing, Agnes R. & Baulch, Bob & Kumar, Neha, 2011. "Evaluating the long-term impact of antipoverty interventions in Bangladesh: An overview," IFPRI discussion papers 1077, International Food Policy Research Institute (IFPRI).
  2. van den Bold, Mara & Quisumbing, Agnes R. & Gillespie, Stuart, 2013. "Women’s empowerment and nutrition: An evidence review:," IFPRI discussion papers 1294, International Food Policy Research Institute (IFPRI).
  3. Kasirye, Ibrahim, 2013. "Constraints to Agricultural Technology Adoption in Uganda: Evidence from the 2005/06-2009/10 Uganda National Panel Survey," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 8(2), August.
  4. Weeratunge, N. & Chiuta, T.M. & Choudhury, A. & Ferrer, A. & Hüsken, S.M.C. & Kura, Y. & Kusakabe, K. & Madzudzo, E. & Maetala, R. & Naved, R. & Schwarz, A. & Kantor, P., 2012. "Transforming aquatic agricultural systems towards gender equality: a five country review," Working Papers, The WorldFish Center, number 39966, October.
  5. Peter Davis & Bob Baulch, 2010. "Casting the net wide and deep: lessons learned in a mixed-methods study of poverty dynamics in rural Bangladesh," Working Papers id:2674, eSocialSciences.

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