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The Effects of China’s Sloping Land Conversion Program on Agricultural Households

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  • Zhen Liu

    (Department of Food and Resource Economics, University of Copenhagen)

  • Arne Henningsen

    (Department of Food and Resource Economics, University of Copenhagen)

Abstract

In the late 1990s, China aimed to mitigate environmental degradation from agricultural production activities by introducing the world’s largest ’Payments for Environmental Services’ (PES) program ― the Sloping Land Conversion Program (SLCP). In order to analyze its effects on agricultural households, we develop a microeconomic Agricultural Household Model (AHM), which can model the production, consumption, and non-farm labor supply decisions of agricultural households in rural China in a theoretically consistent fashion. Based on this theoretical model, we derive an empirical specification that we use to econometrically estimate the effects of the SLCP and other exogenous factors. Using a large longitudinal farm household survey data set, we estimate the empirical model with the Hausman-Taylor estimation method. The empirical results are generally consistent with the results of our theoretical comparative static analysis, e.g. that the SLCP significantly decreases agricultural production. While the SLCP increases non-farm labor supply and total consumption in the Yellow River basin, these effects could not be observed in the Yangtze River basin. The recent reduction of the SLCP compensation payment rates has had some notable, but generally small effects.

Suggested Citation

  • Zhen Liu & Arne Henningsen, 2014. "The Effects of China’s Sloping Land Conversion Program on Agricultural Households," IFRO Working Paper 2014/10, University of Copenhagen, Department of Food and Resource Economics.
  • Handle: RePEc:foi:wpaper:2014_10
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    3. Lan, Jing & Liu, Zhen, 2019. "Social network effect on income structure of SLCP participants: Evidence from Baitoutan Village, China," Forest Policy and Economics, Elsevier, vol. 106(C), pages 1-1.
    4. Michael Nassl & Jörg Löffler, 2019. "How Societal Values Determine the Local Use of Forest Resources—Findings from the Rural Community Kegong (Northwest Yunnan, China)," Sustainability, MDPI, vol. 11(12), pages 1-16, June.
    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. Shi, Xiaoping & Chen, Shujie & Ma, Xianlei & Lan, Jing, 2018. "Heterogeneity in interventions in village committee and farmland circulation: Intermediary versus regulatory effects," Land Use Policy, Elsevier, vol. 74(C), pages 291-300.
    7. Chu, Long & Quentin Grafton, R. & Keenan, Rodney, 2019. "Increasing Conservation Efficiency While Maintaining Distributive Goals With the Payment for Environmental Services," Ecological Economics, Elsevier, vol. 156(C), pages 202-210.
    8. Mack, Gabriele & Kohler, Andreas, 2017. "Short- and long-run policy evaluation: support for grassland-based milk production in Switzerland," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 261116, European Association of Agricultural Economists.
    9. 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).
    10. Lei, Quanyong & Qi, Chunjie & Ye, Cong & Fang, Guozhu, 2023. "Health shock, the Green for Grain Program and medical expenses: Empirical Evidence on the well-being of Chinese Farmers," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 406-418.
    11. 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

    Sloping Land Conversion Program; Agricultural household model; Household behavior; Hausman-Taylor Estimator; China;
    All these keywords.

    JEL classification:

    • H31 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Household
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • R38 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Government Policy

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