How Does Rural–Urban Migration Experience Affect Arable Land Use? Evidence from 2293 Farmers in China

Qianqian Chen, Ruifa Hu, Yiduo Sun and Chao Zhang ()
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Qianqian Chen: School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China
Ruifa Hu: School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China
Yiduo Sun: School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China

Land, 2020, vol. 9, issue 11, 1-17

Abstract: Return migrants play an increasingly important role in agricultural production in China and other developing countries. However, the effect of rural–urban migration experience on farmers’ arable land use remains unclear. This study aims to fill this gap using data from a survey of 2293 farmers consisting of 586 return migrants and 1707 non-migrants in China. We employ the treatment effects model to account for the self-selectivity of rural–urban migration experience arising from observable and unobservable factors. The results show that after accounting for the self-selectivity bias, the rural–urban migration experience significantly increases farmers’ arable land use by 22%. Meanwhile, the positive effect of rural–urban migration experience on arable land use differs by farmers’ age group and region. While rural–urban migration experience increases arable land use for farmers aged below 65 years old by 29%, it shows no significant effect on arable land use for farmers aged 65 years old and above. In addition, there is a positive relationship between rural–urban migration experience and arable land use in Shaanxi, Shandong, and Zhejiang. However, there is no significant effect of rural–urban migration experience on arable land use. On such a basis, we discuss several important implications for policies related to arable land use in China.

Keywords: migration; land use; treatment effects model; self-selectivity; China (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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