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Welfare Impacts of Modern Peanut Varieties in China

Author

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  • Huang, Wu
  • Zeng, Di
  • Zhou, Shudong
Abstract
This article provides some first evidence of the welfare impacts of modern peanut varieties in China using a nationally representative survey. Propensity score matching is employed to address the choice nature of adoption and identify its impacts on peanut yield and multiple sources of income. Impact on income inequality is further simulated by comparing inequality measures using observed and counterfactual income distri-butions. It is found that adoption of modern peanut varieties significantly boosts peanut income and total household income, but increases income inequality. There-fore, household-level welfare improvement with agricultural technology adoption may not meet the governmental goals such as inequality reduction, and complementary policies are called for.

Suggested Citation

  • Huang, Wu & Zeng, Di & Zhou, Shudong, 2015. "Welfare Impacts of Modern Peanut Varieties in China," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 54(3), pages 1-18, September.
    • Handle: RePEc:ags:qjiage:225951
    DOI: 10.22004/ag.econ.225951
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    References listed on IDEAS

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    1. 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.
    2. Di Zeng & Jeffrey Alwang & George W. Norton & Bekele Shiferaw & Moti Jaleta & Chilot Yirga, 2015. "Ex post impacts of improved maize varieties on poverty in rural Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 46(4), pages 515-526, July.
    3. James J. Heckman & Vytlacil, Edward J., 2007. "Econometric Evaluation of Social Programs, Part II: Using the Marginal Treatment Effect to Organize Alternative Econometric Estimators to Evaluate Social Programs, and to Forecast their Effects in New," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 71, Elsevier.
    4. Shijun Ding & Laura Meriluoto & W. Robert Reed & Daoyun Tao & Haitao Wu, 2010. "The Impact of Agricultural Technology Adoption of Income Inequality in Rural China," Working Papers in Economics 10/41, University of Canterbury, Department of Economics and Finance.
    5. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    6. 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.
    7. Ding, Shijun & Meriluoto, Laura & Reed, W. Robert & Tao, Dayun & Wu, Haitao, 2011. "The impact of agricultural technology adoption on income inequality in rural China: Evidence from southern Yunnan Province," China Economic Review, Elsevier, vol. 22(3), pages 344-356, September.
    8. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
    9. 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.
    10. Haitao Wu & Shijun Ding & Sushil Pandey & Dayun Tao, 2010. "Assessing the Impact of Agricultural Technology Adoption on Farmers' Well‐being Using Propensity‐Score Matching Analysis in Rural China," Asian Economic Journal, East Asian Economic Association, vol. 24(2), pages 141-160, June.
    11. Matuschke, Ira & Mishra, Ritesh R. & Qaim, Matin, 2007. "Adoption and Impact of Hybrid Wheat in India," World Development, Elsevier, vol. 35(8), pages 1422-1435, August.
    12. 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.
    13. Renkow, Mitch & Byerlee, Derek, 2010. "The impacts of CGIAR research: A review of recent evidence," Food Policy, Elsevier, vol. 35(5), pages 391-402, October.
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    Cited by:

    1. Aynalem Shita & Nand Kumar & Seema Singh, 2021. "Technology, poverty and income distribution nexus: The case of fertilizer adoption in Ethiopia," African Development Review, African Development Bank, vol. 33(4), pages 742-755, December.

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