Characteristics and Driving Forces of Symbiosis between Production Land and Living Land in Rural Settlement: Evidence from Shanxi Province, China

Zhang, Bailin; Zhai, Bingqian; Jin-yun, Gao; Lian, Xin

doi:10.3390/land11111973

Cited by 2 publications

(1 citation statement)

References 19 publications

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“…The driving factors of CCD of FT and LM were examined using the GRA model in 30 provinces in China [54]. The following is the workflow: Find out the feature sequence and the factor sequence.…”

Section: Gra Modelmentioning

confidence: 99%

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

Wang

Liu

Zhang

et al. 2022

Land

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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.

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Section: Gra Modelmentioning

confidence: 99%