Three Rights Separation reform and its impact over farm’s productivity: A case study of China

Maogang Gong, Hanjin Li and Ehsan Elahi

Land Use Policy, 2022, vol. 122, issue C

Abstract: In recent years, China introduced the new “Three Rights Separation” land reforms which has fostered the agricultural productivity in the country. Using data from China Labour Force Dynamics Survey (CLDS), the current study aims to examine the impact of the “Three Rights Separation” of contracted land on agricultural productivity in China. The PSM method is primarily used for impact evaluation. The estimated results show that the farms' management rights registration and certification, and the three rights significantly increased the agricultural productivity and income. However, the impact effect caused by uncoordinated policy mechanisms and relatively slow application of right recognition did not significantly increase farmers’ agricultural production income. Having access to formal financial institutions and specializing in the production of crops directly correlated with a positive marginal effect on agricultural production and household’s income.

Keywords: Land reforms; Three Rights Division; Land Right Confirmation; Household income; Agricultural production; China (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0264837722004203
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:lauspo:v:122:y:2022:i:c:s0264837722004203

DOI: 10.1016/j.landusepol.2022.106393

Access Statistics for this article

Land Use Policy is currently edited by Jaap Zevenbergen

More articles in Land Use Policy from Elsevier
Bibliographic data for series maintained by Joice Jiang ().