Spatiotemporal Coupling and Driving Factors of Farmland Transfer and Labor Transfer Based on Big Data: The Case of Xinjiang, China

Wang, Yijie; Liu, Guoyong; Liu, Xiaohu

doi:10.1155/2022/7604448

Cited by 3 publications

(4 citation statements)

References 7 publications

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“…The study referred to previous studies [48] and the index system was built according to scientificalness, integrity, and operability to measure the development levels of FT and LM. In this study, we selected 14 indexes from three aspects to represent the degree of FT development, and 13 indexes from three aspects to represent the degree of LM development (Table 1).…”

Section: The Evaluation Index Systemmentioning

confidence: 99%

“…In the coupling theory analysis study, research scholars studied the internal mechanism of FT and LM based on different theoretical perspectives. For example, Wang et al measured the CCD of FT and LM in Xinjiang, the study found that the CCD of FT and LM in Xinjiang was at the stage of high coupling and primary coordination, and there were large differences between regions [48].…”

Section: Introductionmentioning

confidence: 99%

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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: The Evaluation Index Systemmentioning

confidence: 99%

Section: Introductionmentioning

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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“…Therefore, finding new driving forces to promote rural land transfer is the main focus of future research. Existing scholars have studied various aspects of rural land transfer, including the willingness to grow nonfood crops [5], property rights systems [6], agricultural green total factor productivity [7], agricultural labor [8], agricultural socialized services [9], agricultural resource endowments [10], land tenure clarification [11], financial literacy [12], subsidy policies [13], land lease agreements [14], agriculture-related loans [15], and agricultural household start-ups [16]. In fact, the most important factor limiting farmland transfer is the shortage of disposable funds for farmers.…”

Section: Introductionmentioning

confidence: 99%

Impact and Mechanisms of Digital Inclusive Finance in Relation to Farmland Transfer: Evidence from China

Xu,

Niu,

Wei

et al. 2024

Sustainability

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Land use efficiency is primarily limited by the fragmentation of land management. China’s fragmented farmland poses a significant threat to the country’s food security and rural revitalization. Therefore, promoting land transfer to establish large-scale operations is a significant solution. With digital technology’s advancements, digital inclusive finance (DIF) has permeated rural regions to provide financial assistance for farmers’ livelihood and rural development. However, it remains unclear if and how DIF can incentivize land transfer. Therefore, this paper aims to establish an econometric model to analyze the impact of digital inclusive finance on land transfer. Additionally, a chain mediation effect model is established to analyze how DIF affects land transfer through an exploration of the mechanisms of farmers’ livelihood capital and the use of digital information. Therefore, the findings from the analysis of data from 3165 farmers demonstrate that DIF has the potential to notably facilitate land transfer and work through the chain mediation channel. Moreover, the impact of DIF on land transfer is even more pronounced in economically developed regions. Consequently, this paper’s results hold the potential to inform policy making by offering insight into three viable paths—digital inclusive financial support, livelihood capital, and digital information—as means to promote land transfer.

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“…Against the background of the general decrease of farmland in China, farmland in Xinjiang has increased annually (He et al, 2018;Zhang and Li, 2021) and has played an important role in maintaining China's food security strategy. The quality (Sheng et al, 2021), expansion patterns (Cai et al, 2021), water use (Hu et al, 2019), and mulch pollution (Xiong et al, 2019) of Xinjiang's farmland have attracted widespread scholarly attention, and management engineering measures such as agricultural land transfer (Wang et al, 2022;Yang and Liu, 2022) and land remediation (Liao et al, 2021) are being explored. In addition, the multifunctional value of farmland in Xinjiang has also drawn attention (Zhang et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Transformation of farmland use and driving mechanism in Xinjiang since China’s Western Development Policy

Chen

et al. 2022

Front. Ecol. Evol.

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Since the implementation of China’s Western Development Policy, Xinjiang has experienced rapid socio-economic development and significant changes in its land use patterns. As an important factor in agricultural production, farmland is of crucial for realizing the rural revitalization strategy. Based the theoretical mechanisms of farmland use transformation, this study selected five periods of land use and socioeconomic data from 2000, 2005, 2010, 2015, and 2018 to study the spatial and temporal evolutionary characteristics of farmland use transformation in Xinjiang since China’s Western Development Policy. We then explored the driving mechanisms using an optimal geographic detector model based on parameters. The results showed that (1) Xinjiang’s farmland use transitioned toward large scale and multifunctionality, and the transition characteristics are mainly of fluctuating growth type. The spatial transformation and functional transformation characteristics were generally consistent in spatial distribution. (2) There was a spatial agglomeration in the transformation, which was concentrated in the economic zone of the northern slope of Tianshan Mountain, the Yili River Valley and Kashgar region. The concentration of functional transformation of farmland has increased, but the spatial transformation of farmland has weakened. (3) The role of influencing factors on the transformation of farmland use differed with periods. Finally, the study concluded that the functional transformation of farmland in Xinjiang since China’s Western Development Policy is still at the stage of mainly production function. We suggest that the protection of farmland in Xinjiang in the New Western Development period should be achieved by promoting the transformation of the function of farmland. The findings of this study provide decision-making assistance for the management of farmland use in Xinjiang during the New Western Development period and are an effective tool for achieving the goals of sustainable farmland use and agricultural and rural modernization.

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Spatiotemporal Coupling and Driving Factors of Farmland Transfer and Labor Transfer Based on Big Data: The Case of Xinjiang, China

Cited by 3 publications

References 7 publications

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

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

Impact and Mechanisms of Digital Inclusive Finance in Relation to Farmland Transfer: Evidence from China

Transformation of farmland use and driving mechanism in Xinjiang since China’s Western Development Policy

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