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Households' Decisions to Participate in China's Sloping Land Conversion Program and Reallocate Their Labour Times: Is There Endogeneity Bias?

Author

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  • Yin, Runsheng
  • Liu, Hao
  • Liu, Can
  • Lu, Gang

Abstract

Past impact evaluations of China's largest ecological restoration program have assumed the absence of self-selection (endogeneity) in the likelihood and extent of participation. Using appropriate testing procedures and a panel dataset of >1000 households over 11years in two primary provinces, we found evidence of self-selection in household behavior of generating off-farm income. But the hypothesis was rejected that there was a significant self-selection component in households' decision to participate in the program and generate farming income. Evaluations ignoring the self-section for off-farm labor were found to be biased and overly positive on program income impact. Self-selection should thus be explicitly included, unless there is counter evidence, in any study of this kind.

Suggested Citation

  • Yin, Runsheng & Liu, Hao & Liu, Can & Lu, Gang, 2018. "Households' Decisions to Participate in China's Sloping Land Conversion Program and Reallocate Their Labour Times: Is There Endogeneity Bias?," Ecological Economics, Elsevier, vol. 145(C), pages 380-390.
  • Handle: RePEc:eee:ecolec:v:145:y:2018:i:c:p:380-390
    DOI: 10.1016/j.ecolecon.2017.11.020
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    Citations

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    Cited by:

    1. Zhang, Yingjie & Zhang, Tianzheng & Zeng, Yingxiang & Cheng, Baodong & Li, Hongxun, 2021. "Designating National Forest Cities in China: Does the policy improve the urban living environment?," Forest Policy and Economics, Elsevier, vol. 125(C).
    2. Li Li & Atsushi Tsunekawa & Yangshangyu Zuo & Atsushi Koike, 2019. "Conservation Payments and Technical Efficiency of farm Households Participating in the Grain for Green Program on the Loess Plateau of China," Sustainability, MDPI, vol. 11(16), pages 1-16, August.
    3. Liu, Ping & Yin, Runsheng & Zhao, Minjuan, 2019. "Reformulating China's ecological restoration policies: What can be learned from comparing Chinese and American experiences?," Forest Policy and Economics, Elsevier, vol. 98(C), pages 54-61.
    4. Giefer, Madeline M. & An, Li, 2022. "Divergent impacts of the grain to green program, landholdings, and demographic factors on livelihood diversification in rural China," World Development, Elsevier, vol. 156(C).
    5. Zhang, Zhaohui & Paudel, Krishna P., 2019. "Policy improvements and farmers' willingness to participate: Insights from the new round of China's Sloping Land Conversion Program," Ecological Economics, Elsevier, vol. 162(C), pages 121-132.
    6. Lu, Gang & Yin, Runsheng, 2020. "Evaluating the Evaluated Socioeconomic Impacts of China's Sloping Land Conversion Program," Ecological Economics, Elsevier, vol. 177(C).
    7. 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).
    8. Mengmeng Liu & Limin Bai & Hassan Saif Khan & Hua Li, 2023. "The Influence of the Grassland Ecological Compensation Policy on Regional Herdsmen’s Income and Its Gap: Evidence from Six Pastoralist Provinces in China," Agriculture, MDPI, vol. 13(4), pages 1-16, March.

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