Coordinated Development of Farmland Transfer and Labor Migration in China: Spatio-Temporal Evolution and Driving Factors

• Published in: Land (Basel) 2022-12, Vol.11 (12), p.2327
• Main Authors: Wang, Yijie, Liu, Guoyong, Zhang, Bangbang, Liu, Zhiyou, Liu, Xiaohu
• Format: Article
• Language: English
• Subjects: Agglomeration; Agricultural development; Agricultural equipment; Agricultural industry; Agricultural land; Agricultural production; Agriculture; China; Coordination; Coupling; coupling coordination degree; Data analysis; Distribution patterns; driving factor; Economic aspects; Economic statistics; Employment; Evaluation; farmland transfer; Farms; Farmworkers; Geospatial data; Households; Industrial development; Labor; Labor force; labor migration; Labor productivity; Land titles; Management; Municipalities; Provinces; Registration and transfer; Rural areas; Rural-urban migration; Social aspects; Spatial analysis; Spatial data; Spatial distribution; spatio-temporal evolution; Urbanization
• ISSN: 2073-445X; 2073-445X
• DOI: 10.3390/land11122327

The coordinated development of farmland transfer (FT) and labor migration (LM) is of great efficiency significance to facilitate the development of rural economy and implement the rural revitalization strategy. The study used socioeconomic data from 30 provinces/autonomous regions/municipalities (hereafter referred to as provinces) in China to measure the coupling coordination degree (CCD) of FT and LM. It adopted the coupling coordination degree model (CCDM), exploratory spatial data analysis method (ESDA), and gray relational analysis model (GARM) to investigate the spatial differences in the CCD and its influencing factors. The results indicate the following: (1) Regional differences are evident despite the fact that the comprehensive evaluation level of FT and LM in the various provinces is relatively low and displaying a rising trend. (2) The CCD of FT and LM exhibits a fluctuating upward trend and is at the primary coupling coordination stage, with a significant difference in coupling coordination levels between regions, and a spatial distribution pattern of central region > eastern region > northeast region > western region. (3) The CCD shows a strong global spatial positive correlation with clear fluctuations, demonstrating the agglomeration dispersion development tendency over time; the local spatial agglomeration state emerges and stabilizes. According to the distribution pattern, the Western region exhibits weak agglomeration type, whereas the eastern and central regions exhibit strong agglomeration type. (4) There are significant variations between provinces in terms of the intensity of the CCD of FT and LM, as well as the level of concurrent employment business, the level of non-agricultural industry development, the level of urbanization, the level of agricultural equipment, and the land approval.