Assessing the impact of agricultural technology adoption on farmers' well-being using propensity-score matching analysis in rural china

Asian Economic Journal

Volumn 24, Issue 2, 2010, Pages 141-160

  Wu, Haitao ^a   Ding, Shijun ^a   Pandey, Sushil ^b   Tao, Dayun ^c  

^a ZHONGNAN UNIVERSITY OF ECONOMICS AND LAW   (China)

^b INTERNATIONAL RICE RESEARCH INSTITUTE   (Philippines)

^c INSTITUTE OF MEDICINAL PLANTS   (China)

Author keywords

Poverty alleviation; Propensity score matching; Technology adoption

Indexed keywords

AGRICULTURAL TECHNOLOGY; ASSESSMENT METHOD; HOUSEHOLD SURVEY; INNOVATION; POVERTY ALLEVIATION; RURAL AREA; SOCIOECONOMIC IMPACT; TECHNOLOGY ADOPTION;

CHINA; YUNNAN;

EID: 77954101966     PISSN: 13513958     EISSN: 14678381     Source Type: Journal    
DOI: 10.1111/j.1467-8381.2010.02033.x     Document Type: Article

References (24)

1. Bryson A, Dorsett R, Purdon S. The use of propensity score matching in the evaluation of labor market policies. 2002, Working Paper No. 4. Department for Work and Pensions, London
2. Caliendo M, Hujer R, Thomsen S L. The employment effects of job creation schemes in Germany: A microeconometric evaluation. 2005, IZA Discussion Paper No. 1512. IZA, Bonn
3. Caliendo M, Kopeinig S. Some practical guidance for the implementation of propensity score matching. 2005, IZA Discussion Paper No. 1588. INZ, Bonn
4. Fan S. Effects of technological change and institutional reform on production growth in Chinese agriculture. American Journal of Agricultural Economics 1991, 73:266-75.
5. Feder G, Umali D. The adoption of agricultural innovations: A review. Technological Forecasting and Social Change 1993, 43:215-39.
6. Hazell P B R. An assessment of the impact of agricultural research in South Asia since the green revolution. 2008, CGIAR Science Council, FAO, Rome
7. Hazell P B R, Ramasamy C. The Green Revolution Reconsidered: The Impact of High-yielding Rice Varieties in South India 1991, IFPRI, Washington, DC
8. Heckman J, Ichimura H, Smith J, Todd P. Characterizing selection bias using experimental data. Econometrica 1998, 66:1017-98.
9. Huang J, Rozelle S. Technological change: Rediscovering the engine of productivity growth in China's rural economy. Journal of Development Economics 1996, 49:337-69.
10. Rural Poverty Report 2001 2001, IFAD, IFAD, Rome
11. Imbens G. Nonparametric estimation of average treatment effects under exogeneity: A review. The Review of Economics and Statistics 2004, 86:4-29.
12. Janvry A, Sadoulet E. World poverty and the role of agricultural technology: Direct and indirect effects. Journal of Development Studies 2002, 38:1-26.
13. Poverty Monitoring in Rural China 2004, NBS (National Bureau of Statistics of China), China Statistics Press, Beijing
14. Pandey S. Technologies for Southeast Asian uplands. Promoting Sustainable Development in Less-Favored Areas 2000, 9-10. Pender JHazell P. eds, No. 4, 2020 vision focus from IFPRI, Washington, DC
15. Pandey S, Khiem N, Thien T. Market access, food security and upland rice: Some micro-economic evidences from northern mountainous regions of Vietnam. 2002, Paper presented at the annual conference of the Australia Agricultural Economics Association; 13-15 February, Canberra
16. Ravallion M. Can high-inequality developing countries escape absolute poverty? Economics Letters 1997, 56:51-7.
17. Ravallion M, Shaohua C, Sangraula P. New evidence on the urbanization of global poverty. 2007, Background paper for the world development Report 2008, World Bank, Washington, DC
18. Rogers E. Diffusion of Innovation 1962, Free Press of Glencoe, New York
19. Rosenbaum P R, Rubin D B. The central role of the propensity score in observational studies for causal effects. Biometrica 1983, 701:41-55.
20. Rosenbaum P R, Rubin D B. Constructing a control group using multivariate matched sampling methods that incorporate the propensity score. The American Statistican 1985, 39:33-38.
21. Sianesi B. An evaluation of the active labor market programmes in Sweden. The Review of Economics and Statistics 2004, 86:133-55.
22. Smith J, Todd P. Does matching overcome LaLonde's critique of non-experimental estimators? Journal of Econometrics 2005, 125:205-53.
23. World Development Report 2000/1 2000, World Bank, Oxford University Press, Oxford
24. Wu H. The adoption of farmers' improved upland rice and its impact in Southern Yunnan. 2009, PhD Thesis, Zhongnan University of Economics and Law, Wuhan