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Conservation Payments and Technical Efficiency of farm Households Participating in the Grain for Green Program on the Loess Plateau of China

Author

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  • Li Li

    (School of Urban Planning and Design, Peking University Shenzhen Graduate School, Shenzhen 518055, China)

  • Atsushi Tsunekawa

    (Arid Land Research Center, Tottori University, 1390 Hamasaka, Tottori 680-0001, Japan)

  • Yangshangyu Zuo

    (School of Urban Planning and Design, Peking University Shenzhen Graduate School, Shenzhen 518055, China)

  • Atsushi Koike

    (Department of Civil Engineering, Kobe University, 1-1 Rokkodai-cho, Kobe 657-8501, Japan)

Abstract

This study provides an empirical analysis of household technical efficiency and its determinant factors (especially conservation payments) in the context of the Grain for Green program. On the basis of a sample of 225 farm households on the Loess Plateau in 2007, we estimate household technical efficiency using the data envelopment analysis method. In addition to a traditional ordinary least square (OLS) analysis, quantile regression (QR) analysis is also deployed to explore the possible heterogeneous effects of conservation payments and other variables on the technical efficiency across the quantiles. The results suggest that when off-farm activities are taken into account, households have considerable potential for improving their technical efficiency; OLS analysis shows that conservation payments decrease household efficiency, and the QR analysis suggests that the negative impact is significant only for higher performance households; The presence of children, access of households to leased land markets, credit markets, and extension services all show heterogeneous impacts on household efficiency. On the basis of the findings of the study, policies suggestions to improve the program’s effectiveness are provided.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:16:p:4426-:d:258149
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    1. Diana Fletschner, 2008. "Women's Access to Credit: Does It Matter for Household Efficiency?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(3), pages 669-683.
    2. Jean-Paul Chavas & Ragan Petrie & Michael Roth, 2005. "Farm Household Production Efficiency: Evidence from The Gambia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(1), pages 160-179.
    3. Vu Hoang Linh, 2012. "Efficiency of rice farming households in Vietnam," International Journal of Development Issues, Emerald Group Publishing Limited, vol. 11(1), pages 60-73, April.
    4. Daniel Solís & Boris E. Bravo‐Ureta & Ricardo E. Quiroga, 2009. "Technical Efficiency among Peasant Farmers Participating in Natural Resource Management Programmes in Central America," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(1), pages 202-219, February.
    5. Wang, Hui & Riedinger, Jeffrey & Jin, Songqing, 2015. "Land documents, tenure security and land rental development: Panel evidence from China," China Economic Review, Elsevier, vol. 36(C), pages 220-235.
    6. Shanmugam, K.R. & Venkataramani, Atheendar, 2006. "Technical Efficiency in Agricultural Production and Its Determinants: An Exploratory Study at the District Level," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 61(2), pages 1-16.
    7. Cinzia Daraio & Léopold Simar, 2005. "Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach," Journal of Productivity Analysis, Springer, vol. 24(1), pages 93-121, September.
    8. Grosjean, Pauline & Kontoleon, Andreas, 2009. "How Sustainable are Sustainable Development Programs? The Case of the Sloping Land Conversion Program in China," World Development, Elsevier, vol. 37(1), pages 268-285, January.
    9. Nel, M. & Groenewald, J. A., 1987. "An Efficiency Comparison Between Part-Time And Full-Time Farmers On The Transvaal Highveld," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 26(1), February.
    10. Gbemisola Oseni & Paul Winters, 2009. "Rural nonfarm activities and agricultural crop production in Nigeria," Agricultural Economics, International Association of Agricultural Economists, vol. 40(2), pages 189-201, March.
    11. Guang Wan & Enjiang Cheng, 2001. "Effects of land fragmentation and returns to scale in the Chinese farming sector," Applied Economics, Taylor & Francis Journals, vol. 33(2), pages 183-194.
    12. Roman Lacko & Zuzana Hajduová, 2018. "Determinants of Environmental Efficiency of the EU Countries Using Two-Step DEA Approach," Sustainability, MDPI, vol. 10(10), pages 1-13, September.
    13. Lijia Wang & Xuexi Huo & Shajahan Kabir, 2013. "Technical and cost efficiency of rural household apple production," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 5(3), pages 391-411, August.
    14. Cornilius Chikwama, 2004. "Rural Off-Farm Employment and Farm Investment: An Analytical Framework and Evidence from Zimbabwe," CERT Discussion Papers 0403, Centre for Economic Reform and Transformation, Heriot Watt University.
    15. Liu, Zinan & Zhuang, Juzhong, 2000. "Determinants of Technical Efficiency in Post-Collective Chinese Agriculture: Evidence from Farm-Level Data," Journal of Comparative Economics, Elsevier, vol. 28(3), pages 545-564, September.
    16. McDonald, John, 2009. "Using least squares and tobit in second stage DEA efficiency analyses," European Journal of Operational Research, Elsevier, vol. 197(2), pages 792-798, September.
    17. Emi Uchida & Scott Rozelle & Jintao Xu, 2009. "Conservation Payments, Liquidity Constraints, and Off-Farm Labor: Impact of the Grain-for-Green Program on Rural Households in China," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(1), pages 70-86.
    18. Holden, Stein & Shiferaw, Bekele & Pender, John, 2004. "Non-farm income, household welfare, and sustainable land management in a less-favoured area in the Ethiopian highlands," Food Policy, Elsevier, vol. 29(4), pages 369-392, August.
    19. J. Edward Taylor & Scott Rozelle & Alan deBrauw, 1999. "Migration, Remittances, and Agricultural Productivity in China," American Economic Review, American Economic Association, vol. 89(2), pages 287-291, May.
    20. Matshe, Innocent & Young, Trevor, 2004. "Off-farm labour allocation decisions in small-scale rural households in Zimbabwe," Agricultural Economics, Blackwell, vol. 30(3), pages 175-186, May.
    21. Hoff, Ayoe, 2007. "Second stage DEA: Comparison of approaches for modelling the DEA score," European Journal of Operational Research, Elsevier, vol. 181(1), pages 425-435, August.
    22. Shen, Zhiyang & Baležentis, Tomas & Ferrier, Gary D., 2019. "Agricultural productivity evolution in China: A generalized decomposition of the Luenberger-Hicks-Moorsteen productivity indicator," China Economic Review, Elsevier, vol. 57(C).
    23. J. Edward Taylor & Alejandro Lopez-Feldman, 2010. "Does Migration Make Rural Households More Productive? Evidence from Mexico," Journal of Development Studies, Taylor & Francis Journals, vol. 46(1), pages 68-90.
    24. Kuhn, Lena & Balezentis, Tomas & Hou, Lingling & Wang, Dan, 2020. "Technical and environmental efficiency of livestock farms in China: A slacks-based DEA approach," China Economic Review, Elsevier, vol. 62(C).
    25. Fangbin Qiao & Scott Rozelle & Linxiu Zhang & Yi Yao & Jian Zhang, 2015. "Impact of Childcare and Eldercare on Off-farm Activities in Rural China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 23(2), pages 100-120, March.
    26. Jintao Xu & Ran Tao & Zhigang Xu & Michael T. Bennett, 2010. "China’s Sloping Land Conversion Program: Does Expansion Equal Success?," Land Economics, University of Wisconsin Press, vol. 86(2), pages 219-244.
    27. Joe Dewbre, 2006. "The Impact of Coupled and Decoupled Government Subsidies on Off-Farm Labor Participation of U.S. Farm Operators," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(2), pages 393-408.
    28. Liang, Yicheng & Li, Shuzhuo & Feldman, Marcus W. & Daily, Gretchen C., 2012. "Does household composition matter? The impact of the Grain for Green Program on rural livelihoods in China," Ecological Economics, Elsevier, vol. 75(C), pages 152-160.
    29. Xueying Yu, 2016. "Central–local conflicts in China’s environmental policy implementation: the case of the sloping land conversion program," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 77-96, November.
    30. Duraiappah, Anantha K., 1998. "Poverty and environmental degradation: A review and analysis of the nexus," World Development, Elsevier, vol. 26(12), pages 2169-2179, December.
    31. Kelly, Peter & Huo, Xuexi, 2013. "Land Retirement and Nonfarm Labor Market Participation: An Analysis of China’s Sloping Land Conversion Program," World Development, Elsevier, vol. 48(C), pages 156-169.
    32. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    33. Chen Xie & Jincheng Zhao & Dan Liang & Jeff Bennett & Lei Zhang & Guangcui Dai & Xuehong Wang, 2006. "Livelihood impacts of the conversion of cropland to forest and grassland program," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 49(4), pages 555-570.
    34. Xu, Zhigang & Xu, Jintao & Deng, Xiangzheng & Huang, Jikun & Uchida, Emi & Rozelle, Scott, 2006. "Grain for Green versus Grain: Conflict between Food Security and Conservation Set-Aside in China," World Development, Elsevier, vol. 34(1), pages 130-148, January.
    35. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    36. Wunder, Sven & Engel, Stefanie & Pagiola, Stefano, 2008. "Taking stock: A comparative analysis of payments for environmental services programs in developed and developing countries," Ecological Economics, Elsevier, vol. 65(4), pages 834-852, May.
    37. 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.
    38. 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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