Qin, Cong and Chong, Terence Tai Leung (2015): Can Poverty be Alleviated in China?
Preview |
PDF
MPRA_paper_68458.pdf Download (541kB) | Preview |
Abstract
The 2000s witnessed the third poverty alleviation wave of China. Compared with its predecessors, the third wave distinguished itself by new interventions and redefined standards for the National Poor Counties. This paper evaluates the effectiveness of the new program using a data set consisting of 1,411 of China’s western and central counties from 2000 to 2010. We combine the propensity score matching method with the difference-in-differences approach, which enables us to avoid selection bias and track the policy impact on variables of interest at each time point. It is found that the non-west local governments were inclined to restrict their economic growth to maintain the special transfer payments disbursed exclusively to the National Poor Counties. It is also shown that the program failed to improve the infrastructure and sanitary conditions in general.
Item Type: | MPRA Paper |
---|---|
Original Title: | Can Poverty be Alleviated in China? |
Language: | English |
Keywords: | Average treatment effect on treated, Poverty alleviation, Propensity score matching, Receiver operating characteristic curve, The National Poor Counties Average treatment effect on treated, Poverty alleviation, Propensity score matching, Receiver operating characteristic curve, The National Poor Counties |
Subjects: | H - Public Economics > H2 - Taxation, Subsidies, and Revenue > H23 - Externalities ; Redistributive Effects ; Environmental Taxes and Subsidies H - Public Economics > H7 - State and Local Government ; Intergovernmental Relations > H71 - State and Local Taxation, Subsidies, and Revenue |
Item ID: | 68458 |
Depositing User: | Terence T L Chong |
Date Deposited: | 21 Dec 2015 07:24 |
Last Modified: | 28 Sep 2019 08:41 |
References: | AOCRESC (1989). An Outline of Chinese Rural Economic Statistics by County 1988. China Statistical Publishing House, Beijing. Baser, O. (2006). Too much ado about propensity score models? Comparing methods of propensity score matching. Value in Health, 9(6), 377–385. Caliendo, M. and Kopeinig, S. (2008). Some practical guidance for the implementation of propensity score matching. Journal of Economic Surveys, 22(1), 31–72. CPFDCC (2010). Statistics on Public Finance of the Districts, Cities and Counties. China Financial and Economic Publishing House, Beijing 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009. Fan, S., Zhang, L. and Zhang, X. (2004). Reforms, Investment, and Poverty in Rural China. Economic Development and Cultural Change, 52(2), 395-421. Guo, S. and Fraser, M. W. (2014). Propensity Score Analysis: Statistical Methods and Applications (2nd ed.). Los Angeles: SAGE. Heckman, J., Ichimura, H., Smith, J. and Todd, P. (1998). Characterizing selection bias using experimental data (No. 6699). National Bureau of Economic Research. Khan, H. A. (1999). Sectoral growth and poverty alleviation: A multiplier decomposition technique applied to South Africa. World Development, 27(3), 521–530. Loayza, N. V. and Raddatz, C. (2010). The composition of growth matters for poverty alleviation. Journal of Development Economics, 93(1), 137–151. Meng, L. (2013). Evaluating China's poverty alleviation program: A regression discontinuity approach. Journal of Public Economics, 101, 1–11. Montalvo, J. G. and Ravallion, M. (2010). The pattern of growth and poverty reduction in China. Journal of Comparative Economics, 38(1), 2–16. Park, A., Rozelle, S. and Cai, F. (1994). China's grain policy reforms: Implications for equity, stabilization, and efficiency. China Economic Review, 5(1), 15–33. Park, A., Wang, S. and Wu, G. (2002). Regional poverty targeting in China. Journal of Public Economics, 86(1), 123–153. Park A. and Wang, S. (2010). Community-based development and poverty alleviation: An evaluation of China’s poor village investment program. Journal of Public Economics, 94(9–10), 790–799. PMRRC (2011). Poverty Monitoring Report of Rural China. China Statistical Publishing House, Beijing 2000, 2001, 2010. Ravallion, M. and Datt, G. (2002). Why has economic growth been more pro-poor in some states of India than others? Journal of Development Economics, 68(2), 381–400. Ravallion, M. and Chen, S. (2007). China's (uneven) progress against poverty. Journal of Development Economics, 82(1), 1–42. Rosenbaum, P. R. and Rubin, D. B. (1985). Constructing a control group using multivariate matched sampling methods that incorporate the propensity score. The American Statistician, 39(1), 33–38. Rubin, D. B. (1986). Comment: Which ifs have causal answers? Journal of the American Statistical Association, 81(396), 961–962. Sianesi, B. (2004). An evaluation of the Swedish system of active labor market programs in the 1990s. The Review of Economics and Statistics, 86(1), 133–155. Smith, J. A. and Todd, P. E. (2005). Does matching overcome LaLonde's critique of nonexperimental estimators? Journal of Econometrics, 125(1–2), 305–353. Tomz, M., King, G. and Zeng, L. (2003). ReLogit: Rare events logistic regression. Journal of Statistical Software, 8(2). Wang, J. (2013). The economic impact of Special Economic Zones: Evidence from Chinese municipalities. Journal of Development Economics, 101, 133–147. World Bank (2001). China: Overcoming Rural Poverty. Washington, D.C.: World Bank. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/68458 |