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Farmer training in off-season vegetables: Effects on income and pesticide use in Bangladesh

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  • Schreinemachers, Pepijn
  • Wu, Mei-huey
  • Uddin, Md. Nasir
  • Ahmad, Shahabuddin
  • Hanson, Peter

Abstract

The cultivation of crops outside the regular cropping calendar when supply is low and prices are high can give farmers better profits and consumers more choice. However, off-season production may increase pesticide risk if crops are more affected by pests and diseases and farmers do not handle pesticides correctly. This study quantified the effect of training in off-season tomato production on the income and pesticide use of smallholder vegetable farmers in southwestern Bangladesh. The study uses farm-level data from 94 trained and 151 non-trained farm households and applies propensity score matching and inverse probability weighting to correct for selection bias. For the average smallholder vegetable farmer, training increased net household income by about 48%. We found that 31% of the trained farm households who had initially adopted the technology continued its use in the second year, but farm households who discontinued using the technology also experienced significant income gains from the training. There was a significant increase in pesticide use (+56%) and although there was an improvement in pesticide handling practices, trained farmers may have been more exposed to pesticide health risk. The policy implication is that while off-season vegetable production can create dramatic income improvements, it is important to emphasize safe and sustainable pest management methods as part of policies promoting it.

Suggested Citation

  • Schreinemachers, Pepijn & Wu, Mei-huey & Uddin, Md. Nasir & Ahmad, Shahabuddin & Hanson, Peter, 2016. "Farmer training in off-season vegetables: Effects on income and pesticide use in Bangladesh," Food Policy, Elsevier, vol. 61(C), pages 132-140.
    • Handle: RePEc:eee:jfpoli:v:61:y:2016:i:c:p:132-140
    DOI: 10.1016/j.foodpol.2016.03.002
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    References listed on IDEAS

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    1. Fischer, Elisabeth & Qaim, Matin, 2012. "Gender, Agricultural Commercialization, and Collective Action in Kenya," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126659, International Association of Agricultural Economists.
    2. Gitonga, Zachary M. & De Groote, Hugo & Kassie, Menale & Tefera, Tadele, 2013. "Impact of metal silos on households’ maize storage, storage losses and food security: An application of a propensity score matching," Food Policy, Elsevier, vol. 43(C), pages 44-55.
    3. 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.
    4. Wooldridge, Jeffrey M., 2007. "Inverse probability weighted estimation for general missing data problems," Journal of Econometrics, Elsevier, vol. 141(2), pages 1281-1301, December.
    5. Mahmoud, Chowdhury & Shively, Gerald, 2004. "Agricultural diversification and integrated pest management in Bangladesh," Agricultural Economics, Blackwell, vol. 30(3), pages 187-194, May.
    6. Schreinemachers, Pepijn & Tipraqsa, Prasnee, 2012. "Agricultural pesticides and land use intensification in high, middle and low income countries," Food Policy, Elsevier, vol. 37(6), pages 616-626.
    7. Rahman, Sanzidur, 2009. "Whether crop diversification is a desired strategy for agricultural growth in Bangladesh?," Food Policy, Elsevier, vol. 34(4), pages 340-349, August.
    8. 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.
    9. Abebaw, Degnet & Fentie, Yibeltal & Kassa, Belay, 2010. "The impact of a food security program on household food consumption in Northwestern Ethiopia: A matching estimator approach," Food Policy, Elsevier, vol. 35(4), pages 286-293, August.
    10. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    11. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    12. Wang-Sheng Lee, 2013. "Propensity score matching and variations on the balancing test," Empirical Economics, Springer, vol. 44(1), pages 47-80, February.
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