The Impact of Agricultural Technology Adoption of Income Inequality in Rural China
This study analyzes the impact of government efforts to increase agricultural incomes on income inequality in rural China. It collects and analyzes survey data from 473 households in Yunnan, China in 2004. In particular, it investigates the effects of government efforts to promote improved upland rice technologies. Our analysis shows that farmers who adopted these technologies had incomes approximately 32 percent higher than non-adopters. While much of this came from increased incomes from the selling of upland rice, adopters also enjoyed higher incomes from other cash crops. We attribute this to technology spillovers. Despite substantial increases associated with the adoption of improved upland rice technologies, we estimate that the impact on income inequality was relatively slight. This is primarily due to the fact that low income farmers had relatively high rates of technology adoption.
|Date of creation:||10 Jun 2010|
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- Pender, John, 2007. "Agricultural technology choices for poor farmers in less-favored areas of South and East Asia:," IFPRI discussion papers 709, International Food Policy Research Institute (IFPRI).
- James H. Stock & Motohiro Yogo, 2002. "Testing for Weak Instruments in Linear IV Regression," NBER Technical Working Papers 0284, National Bureau of Economic Research, Inc.
- Freebairn, Donald K., 1995. "Did the Green Revolution Concentrate Incomes? A Quantitative Study of Research Reports," World Development, Elsevier, vol. 23(2), pages 265-279, February.
- Dwayne Benjamin & Loren Brandt & John Giles, 2004.
"The Evolution of Income Inequality in Rural China,"
William Davidson Institute Working Papers Series
2004-654, William Davidson Institute at the University of Michigan.
- Ravallion, Martin & Chen, Shaohua, 1999. " When Economic Reform Is Faster Than Statistical Reform: Measuring and Explaining Income Inequality in Rural China," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(1), pages 33-56, February.
- Sangui Wang & Dwayne Benjamin & Loren Brandt & John Giles & Yingxing Li & Yun Li, 2007. "Inequality and Poverty in China during Reform," Working Papers PMMA 2007-07, PEP-PMMA.
- Gustafsson, Bjorn & Shi, Li, 2002. "Income inequality within and across counties in rural China 1988 and 1995," Journal of Development Economics, Elsevier, vol. 69(1), pages 179-204, October.
- Douglas Staiger & James H. Stock, 1997.
"Instrumental Variables Regression with Weak Instruments,"
Econometric Society, vol. 65(3), pages 557-586, May.
- Douglas Staiger & James H. Stock, 1994. "Instrumental Variables Regression with Weak Instruments," NBER Technical Working Papers 0151, National Bureau of Economic Research, Inc.
- Chen, Xi & Zhang, Xiaobo, 2009. "The Distribution of Income and Well-Being in Rural China: A Survey of Panel Data Sets, Studies and New Directions," MPRA Paper 20587, University Library of Munich, Germany.
- Heerink, Nico & Kuiper, Marijke H. & Xiaoping, Shi, 2006.
"China's New Rural Income Support Policy: Impact on Grain Production and Rural Income Inequality,"
2006 Annual Meeting, August 12-18, 2006, Queensland, Australia
25625, International Association of Agricultural Economists.
- Nico Heerink & Marijke Kuiper & Xiaoping Shi, 2006. "China's New Rural Income Support Policy: Impacts on Grain Production and Rural Income Inequality," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 14(6), pages 58-69.
- Yifu Lin, Justin, 1999. "Technological change and agricultural household income distribution: theory and evidence from China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 43(2).
- 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.
- HU, Ruifa & YANG, Zhijian & KELLY, Peter & HUANG, Jikun, 2009. "Agricultural extension system reform and agent time allocation in China," China Economic Review, Elsevier, vol. 20(2), pages 303-315, June.
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