Assessing the Impact of Agricultural Technology Adoption on Farmers' Well‐being Using Propensity‐Score Matching Analysis in Rural China |
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| Authors: | Haitao Wu Shijun Ding Sushil Pandey Dayun Tao |
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| Affiliation: | 1. School of Business Administration, Zhongnan University of Economics and Law, China;2. We would like to acknowledge financial support from the National Science Foundation of China (70573122 and 70773120) and the Rockefeller Foundation (2005 SE 003). We are grateful to Yuping Chen, W. Robert Reed, Craig Parsons, Huaiyu Wang, Fengyi Hu, Peng Xu, Jiawu Zhou, Jing Li, Xianneng Deng, Lu Feng, Lu Wen, Jian Li, Yun Li, Lourdes E. Velasco and anonymous referees for helpful comments and suggestions.;3. Social Sciences Division, International Rice Research Institute, Metro Manila, Philippines;4. Crops Research Institute, Yunnan Academy of Agriculture Science, China |
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| Abstract: | The present paper assesses the impact of improved upland rice technology on farmers' well‐being. The study uses propensity‐score matching to address the problem of ‘self‐selection,’ because technology adoption is not randomly assigned. It applies this procedure to household survey data collected in Yunnan, China in 2000, 2002 and 2004. The findings indicate that improved upland rice technology has a robust and positive effect on farmers' well‐being, as measured by income levels and the incidence of poverty. The effect of technology on well‐being shows a diminishing impact on producers' incomes. This implies that newer innovations are continuously needed to replace older technologies that have reached their saturation points. |
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| Keywords: | technology adoption poverty alleviation propensity score matching O33 P36 |
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