The estimation of long term impacts of China's key priority forestry programs on rural household incomes
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DOI: 10.1016/j.jfe.2014.08.001
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- James J. Heckman & Jeffrey Smith & Nancy Clements, 1997. "Making The Most Out Of Programme Evaluations and Social Experiments: Accounting For Heterogeneity in Programme Impacts," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 487-535.
- Weyerhaeuser, Horst & Wilkes, Andreas & Kahrl, Fredrich, 2005. "Local impacts and responses to regional forest conservation and rehabilitation programs in China's northwest Yunnan province," Agricultural Systems, Elsevier, vol. 85(3), pages 234-253, September.
- Greenwald, Bruce C., 1983. "A general analysis of bias in the estimated standard errors of least squares coefficients," Journal of Econometrics, Elsevier, vol. 22(3), pages 323-338, August.
- Guido W. Imbens & Jeffrey M. Wooldridge, 2009.
"Recent Developments in the Econometrics of Program Evaluation,"
Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
- Guido M. Imbens & Jeffrey M. Wooldridge, 2008. "Recent Developments in the Econometrics of Program Evaluation," NBER Working Papers 14251, National Bureau of Economic Research, Inc.
- Wooldridge, Jeffrey M. & Imbens, Guido, 2009. "Recent Developments in the Econometrics of Program Evaluation," Scholarly Articles 3043416, Harvard University Department of Economics.
- Guido Imbens & Jeffrey M. Wooldridge, 2008. "Recent developments in the econometrics of program evaluation," CeMMAP working papers CWP24/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Imbens, Guido W. & Wooldridge, Jeffrey M., 2008. "Recent Developments in the Econometrics of Program Evaluation," IZA Discussion Papers 3640, Institute of Labor Economics (IZA).
- Ashenfelter, Orley & Card, David, 1985.
"Using the Longitudinal Structure of Earnings to Estimate the Effect of Training Programs,"
The Review of Economics and Statistics, MIT Press, vol. 67(4), pages 648-660, November.
- Orley Ashenfelter & David Card, 1984. "Using the Longitudinal Structure of Earnings to Estimate the Effect of Training Programs," NBER Working Papers 1489, National Bureau of Economic Research, Inc.
- Orley Ashenfelter & David E. Card, 1984. "Using the Longitudinal Structure of Earnings to Estimate the Effect of Training Programs," Working Papers 554, Princeton University, Department of Economics, Industrial Relations Section..
- Moulton, Brent R., 1986. "Random group effects and the precision of regression estimates," Journal of Econometrics, Elsevier, vol. 32(3), pages 385-397, August.
- Kloek, T, 1981. "OLS Estimation in a Model Where a Microvariable Is Explained by Aggregates and Contemporaneous Disturbances Are Equicorrelated," Econometrica, Econometric Society, vol. 49(1), pages 205-207, January.
- World Bank & P.R.C. Development Research Center of the State Council, 2012. "China 2030 : Building a Modern, Harmonious, and Creative High-Income Society [pre-publication version]," World Bank Publications - Books, The World Bank Group, number 6057.
- Jeffrey M. Wooldridge, 2003. "Cluster-Sample Methods in Applied Econometrics," American Economic Review, American Economic Association, vol. 93(2), pages 133-138, May.
- Heckman, James J. & Robb, Richard Jr., 1985. "Alternative methods for evaluating the impact of interventions : An overview," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 239-267.
- A. D. Roy, 1951. "Some Thoughts On The Distribution Of Earnings," Oxford Economic Papers, Oxford University Press, vol. 3(2), pages 135-146.
- Xu, Jintao & Yin, Runsheng & Li, Zhou & Liu, Can, 2006. "China's ecological rehabilitation: Unprecedented efforts, dramatic impacts, and requisite policies," Ecological Economics, Elsevier, vol. 57(4), pages 595-607, June.
- Moulton, Brent R, 1990. "An Illustration of a Pitfall in Estimating the Effects of Aggregate Variables on Micro Unit," The Review of Economics and Statistics, MIT Press, vol. 72(2), pages 334-338, May.
- Uchida, Emi & Xu, Jintao & Xu, Zhigang & Rozelle, Scott, 2007. "Are the poor benefiting from China's land conservation program?," Environment and Development Economics, Cambridge University Press, vol. 12(4), pages 593-620, August.
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Cited by:
- Li, Lingchao & Liu, Can & Liu, Jinlong & Cheng, Baodong, 2021. "Has the Sloping Land Conversion Program in China impacted the income and employment of rural households?," Land Use Policy, Elsevier, vol. 109(C).
- Yuge Wang & Apurbo Sarkar & Min Li & Zehui Chen & Ahmed Khairul Hasan & Quanxing Meng & Md. Shakhawat Hossain & Md. Ashfikur Rahman, 2022. "Evaluating the Impact of Forest Tenure Reform on Farmers’ Investment in Public Welfare Forest Areas: A Case Study of Gansu Province, China," Land, MDPI, vol. 11(5), pages 1-17, May.
- Liu, Zhen & Li, Qiuming & Lan, Jing & Abu Hatab, Assem, 2020. "Does participation in the sloping land conversion program reduce the sensitivity of Chinese farmers to climate change?," Land Use Policy, Elsevier, vol. 99(C).
- Ding, Zhenmin & Yao, Shunbo, 2021. "Ecological effectiveness of payment for ecosystem services to identify incentive priority areas: Sloping land conversion program in China," Land Use Policy, Elsevier, vol. 104(C).
- Lu, Gang & Yin, Runsheng, 2020. "Evaluating the Evaluated Socioeconomic Impacts of China's Sloping Land Conversion Program," Ecological Economics, Elsevier, vol. 177(C).
- Yang Ren & Jari Kuuluvainen & Anne Toppinen & Shunbo Yao & Sami Berghäll & Heimo Karppinen & Caixia Xue & Liu Yang, 2018. "The Effect of China’s New Circular Collective Forest Tenure Reform on Household Non-Timber Forest Product Production in Natural Forest Protection Project Regions," Sustainability, MDPI, vol. 10(4), pages 1-17, April.
- Liu, Yue & Yao, Shunbo & Lin, Ying, 2018. "Effect of Key Priority Forestry Programs on off-farm employment: Evidence from Chinese rural households," Forest Policy and Economics, Elsevier, vol. 88(C), pages 24-37.
- Hong, Yan-Zhen & Chang, Hung-Hao & Dai, Yong-Wu, 2018. "Is deregulation of forest land use rights transactions associated with economic well-being and labor allocation of farm households? Empirical evidence in China," Land Use Policy, Elsevier, vol. 75(C), pages 694-701.
- Yuepeng Zhou & Xianlei Ma & Dengyan Ji & Nico Heerink & Xiaoping Shi & Hongbin Liu, 2018. "Does Property Rights Integrity Improve Tenure Security? Evidence from China’s Forest Reform," Sustainability, MDPI, vol. 10(6), pages 1-18, June.
- Qun'ou Jiang & Yuwei Cheng & Qiutong Jin & Xiangzheng Deng & Yuanjing Qi, 2015. "Simulation of Forestland Dynamics in a Typical Deforestation and Afforestation Area under Climate Scenarios," Energies, MDPI, vol. 8(10), pages 1-26, September.
- Wang, Ying & Zhang, Qi & Bilsborrow, Richard & Tao, Shiqi & Chen, Xiaodong & Sullivan-Wiley, Kira & Huang, Qingfeng & Li, Jiangfeng & Song, Conghe, 2020. "Effects of payments for ecosystem services programs in China on rural household labor allocation and land use: Identifying complex pathways," Land Use Policy, Elsevier, vol. 99(C).
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More about this item
Keywords
Priority forestry programs; Rural households’ income; Rural development; Forest economics; Ecological restoration; China;All these keywords.
JEL classification:
- D1 - Microeconomics - - Household Behavior
- Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics
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