The effects of government intervention behavior in farmland transfer on farmers’ livelihood capital: an empirical analysis based on PSM-DID

ZHAI Liming1 XIA Xianli1 WU Aidi1

(1.College of Economics & Management, Northwest Agriculture & Forestry University)

【Abstract】This paper studies the government intervention behavior during the process of farmland transfer, and its effect on farmers’ livelihood capital, using differences-in-differences propensity score matching (PSM-DID) approach with survey data collected in the Guanzhong-Tianshui economic zone. According to the role differences, process management, and security regulation, the paper divides government intervention behaviors into ten different types as treated variables and takes farmers’ livelihood capital as the output variable. Results show that the current government intervention behavior in farmland circulation can barely improve the livelihood capital of farmers but with a slight negative effect. While farmers rent out their land, the increase in their physical and social capital owing to public goods provision under the government planning programs can offset the decrease in their natural capital. The farmland transfer led by the government can reduce farmers’ physical and social capital and increase their natural capital; farmland transfer programs for farmers who have a formal, revisable contract have a significant positive effect on safeguarding their livelihood. Farmland transfer in which the rent is paid in kind can significantly reduce farmers’ physical capital, and transfer programs for farmers who own a land use certificate have a significant negative effect on the accumulation of their natural capital.

【Keywords】 farmland transfer; government intervention; sustainable livelihood capital; PSM-DID;

【DOI】

【Funds】 Humanities and Social Sciences Project, Ministry of Education (15YJA790068) Subsidiary Subject of National Key R&D Plan (2016YFC0501707-03)

Download this article

(Translated by Wei Yang)

    References

    1. Cai, Z. Chinese Rural Economy (中国农村经济), (12) (2010).

    2. Chen, F. & Zhai, W. Economic Research Journal (经济研究), (10) (2015).

    3. Chen, Q. Advanced Econometrics and STATA Application (Second Edition) (高级计量经济学及STATA应用 (第二版)). Beijing: Higher Education Press, (2013).

    4. Han, Z., Ba, Z., Xin, R. et al. China Population, Resources and Environment (中国人口·资源与环境), (4) (2016).

    5. Hua, C., Lu, Q., Jiang, Y. et al. Journal of Agrotechnical Economics (农业技术经济), (4) (2013).

    6. Huang, Z. & Qiu, J. China Rural Survey (中国农村观察), (2) (2016).

    7. Li, J., Li, Y., Tai, X. et al. China Rural Survey (中国农村观察), (5) (2009).

    8. Li, X., Dong, Q., Rao, X. et al. Chinese Rural Economy (中国农村经济), (4) (2007).

    9. Li, Y. & Li, L. Issues in Agricultural Economy (农业经济问题), (10) (2009).

    10. Liu, F. Management World (管理世界), (9) (2006).

    11. Liu, R. & Zhao, R. China Industrial Economics (中国工业经济), (6) (2015).

    12. Lu, W. & Zhu, Z. Chinese Rural Economy (中国农村经济), (1) (2007).

    13. Ni, G. & Cai, F. Economic Research Journal (经济研究), (3) (2015).

    14. Pei, X., Xie, G. & Zhang, Y. China Population, Resources and Environment (中国人口·资源与环境), (6) (2011).

    15. Qian, W. Journal of Zhejiang University (Humanities and Social Sciences) (浙江大学学报 (人文社会科学版)), (5) (2003).

    16. Qian, Z. Management World (管理世界), (6) (2002).

    17. Song, H. & Zhong, Z. Modernization of Management (管理现代化), (6) (2013).

    18. Tang, H. & Shi, G. Journal of Agrotechnical Economics (农业技术经济), (9) (2014).

    19. Wang, H., Tang, R. & Zhao, C. Nanjing Journal of Social Sciences (南京社会科学), (9) (2004).

    20. Wang, X., Wang, Y. & Zhang, Z. The World of Survey and Research (调研世界), (9) (2015).

    21. Yu, C. Rural Economy (农村经济), (10) (2012).

    22. Zhang, J., Zhu, P. & Wang, M. China Population, Resources and Environment (中国人口·资源与环境), (6) (2016).

    23. Zhou, T., Fan, T. & Gao, M. Academic Exchange (学术交流), (12) (2013).

    24. Chambers, R., and G. Conway, 1992: Sustainable Rural Livelihoods: Practical Concepts for The 21st Century, Brighton: Institute of Development Studies.

    25. DFID, 1999, Sustainable Livelihoods Guidance Sheets, London: DFID.

    26. Ellis, F., 2000, Rural Livelihoods and Diversity in Developing Countries, New York: Oxford University Press.

    27. Feng, S., N. Heerink, and R. Ruben, 2010, “Land Rental Market, Off-farm Employment and Agricultural Production in Southeast China: A Plot-level Case Study,” China Economic Review, 21 (4): 598–606.

    28. Rosenbaum, P.R., and D. B. Rubin, 1983, “The Central Role of the Propensity Score in Observational Studies for Causal Effects,” Biometrika, 70 (1): 41–55.

    29. Rubin, D. B., 1997, “Estimating Causal Effects from Large Data Sets Using Propensity Score,” Annals of Internal Medicine, 127 (8): 757–763.

    30. Sharp, K., 2003, Measuring Destitution: Integrating Qualitative and Quantitative Approaches in the Analysis of Survey Data, Brighton: Institute of Development Studies.

This Article

ISSN:1002-8870

CN: 11-1262/F

Vol , No. 02, Pages 2-15

February 2017

Downloads:1

Share
Article Outline

Abstract

  • 1 Introduction
  • 2 Theoretical analysis based on the literature review
  • 3 Model design
  • 4 Data description and variable settings
  • 5 Assumption test, measurement results and discussions
  • 6 Conclusion and policy enlightenment
  • References