Cultivated Land Input Behavior of Different Types of Rural Households and Its Impact on Cultivated Land-Use Efficiency: A Case Study of the Yimeng Mountain Area, China

Yu, Yuanhe; Lin, Jinkuo; Zhou, Peixiang; Zheng, Shuwei

doi:10.3390/ijerph192214870

Cited by 5 publications

(3 citation statements)

References 63 publications

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“…A bivariate Probit model was constructed in STATA 14.0 (StataCorp, www.stata.com) to analyze the effect of labor transfer on farmers' willingness to quit land and the correlation effect of willingness to abandon the land. As suggested by Yu et al [110], a multicollinearity diagnosis was performed on the variables before the model regression [110]. Whereas VIF < 3 indicates that there is no severe multicollinearity between the variables [111], the robust option is used to deal with the heteroscedasticity problem to ensure the robustness of the model estimation results.…”

Section: Resultsmentioning

confidence: 99%

Does Labor Transfer Improve Farmers’ Willingness to Withdraw from Farming?—A Bivariate Probit Modeling Approach

Ding

et al. 2023

Land

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Because of the increased expansion of the non-agricultural industry spurred on by vigorous urbanization, labor migration or transfer from farm to urban regions is to become more predominant in China. Studying the effect of labor transfer on farmers’ willingness to withdraw from land is conducive to deepening the understanding of the reality of the “separation of human and farmland”. As most rural livelihoods, directly and indirectly, depend upon farming, the socio-economic impact of leaving the homestead fosters profound research value. Moreover, it would provide a decision-making reference for the government to improve the design of the rural land withdrawal system and related support policies. This article uses the survey data of 953 farmers in Shaanxi, Sichuan, and Anhui, China, to empirically analyze labor transfer’s effect on farmers’ willingness to withdraw from farmland. We construct a bivariate Probit model by eliminating the endogenous issue to craft its findings. This study outlines its findings: (i) 61.805% of the farmers were unwilling, and 18.048% were willing to withdraw from the contracted land and homestead. While 12.067% of the farmers were only willing to withdraw from the contracted land, 8.080% of the farmers were only willing to withdraw from the homestead. Further testing found a positive correlation between farmers’ willingness to withdraw from contracted land and the homestead. (ii) The overall labor transfer of households can increase the willingness of farmers to quit contracted land and homestead farming. The incomplete labor transfer of households can improve the willingness of farmers to quit contracted land. Still, it has no significant impact on the willingness of farmers to quit their homesteads. The family’s complete labor transfer incentivizes farmers’ willingness to withdraw from contracted land and the homestead, which is more potent than incomplete family labor transfer. (iii) Incomplete labor transfer of female households has an incentive effect on farmers’ willingness to quit contracted land, and the effect is more robust than that of incomplete household labor transfer. Seemingly, complete female labor transfer of households has an incentive effect on farmers’ willingness to quit contracted land and the homestead, and the effect is stronger than the complete labor transfer of the family. Because of this, the government should respect the wishes of farmers and strengthen the effective connection and mutual promotion between the homestead and contracted land withdrawal policy. Moreover, pay concentrated attention to the vital role of different types of labor transfer, and targeted labor transfer mechanisms should be used to guide farmers in an orderly manner.

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Section: Resultsmentioning

confidence: 99%

Does Labor Transfer Improve Farmers’ Willingness to Withdraw from Farming?—A Bivariate Probit Modeling Approach

Ding

et al. 2023

Land

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“…At present, the ecological efficiency of cultivated land utilization is defined as "The extent to which economic and social benefits can be maximized and environmental pollution minimized with a certain input of production factors in the process of cultivated land utilization, and its pursuit of "resource—economy—environment " [ 9 , 10 ]. In the measurement of cultivated land ecological efficiency, commonly used methods include stochastic frontier analysis [ 11 ], life cycle method [ 12 ], ecological footprint method [ 13 ], principal component analysis [ 14 ], and Data envelopment analysis (DEA) method [ 15 ]. The literature mostly uses the SBM model, including unexpected output, to measure the ecological efficiency of cultivated land utilization [ 16 , 17 ].…”

Section: Introductionmentioning

confidence: 99%

Research on the characteristics and influencing factors of the spatial correlation network of cultivated land utilization ecological efficiency in the upper reaches of the Yangtze River, China

He,

Wang,

Feng

2024

PLoS ONE

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Researching the structural characteristics of the spatial correlation network of cultivated land utilization ecological efficiency is of great significance to China’s food security and agricultural green and low-carbon development. Taking 47 cities (autonomous prefectures) in the upper reaches of the Yangtze River as the research object, the ecological efficiency of cultivated land utilization from 2010 to 2020 was measured based on the unexpected output model (Super SBM), and the spatial correlation matrix was constructed using the revised gravity model. The structural characteristics of the spatial correlation network were analyzed using the social network model (SNA), and finally, the factors affecting the spatial correlation network of cultivated land utilization ecological efficiency in the upper reaches of the Yangtze River were analyzed through the quadratic assignment procedure (QAP) model. The results show that: (1) the ecological efficiency of cultivated land utilization in the upper reaches of the Yangtze River has been increasing year by year, but the overall level is low, and there is a large gap among provinces. Sichuan Province has the highest average value of 0.605, and Yunnan Province has the lowest average value of 0.359. (2) The ecological efficiency of cultivated land utilization in the upper reaches of the Yangtze River has broken through the provincial boundaries and has formed an obvious spatial correlation network, but the overall density is low, and the network is still relatively loose, needing further development and improvement. Chengdu, Yibin, Luzhou, and other cities are located in the center of the network and have formed four cohesive subgroups. (3)The differences in the level of agricultural economic development, the rural per capita disposable income, the differences in agricultural mechanization intensity, the regional population differences, and spatial adjacency have an impact on the spatial network of ecological efficiency of cultivated land utilization in the upper reaches of the Yangtze River. The difference in the level of agricultural economic development, the rural per capita disposable income, and the differences in agricultural mechanization intensity are negatively correlated, while the regional population differences are positively correlated with spatial adjacency.

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“…The indicator method evaluates the production function of cultivated land by selecting relevant indicators, including soil fertility, hydrological environment, climate and topography, and then analysing and calculating the collected data via statistical methods (Zhuang et al, 2022). The mathematical model method uses statistics, mathematical modelling and other methods to quantitatively analyse and predict the production function of cultivated land; commonly used mathematical models include data envelopment analysis and fuzzy mathematical models (Yu et al, 2022).…”

mentioning

confidence: 99%

Is marginalised cultivated land on the Tibetan Plateau suitable for production or ecology? An example from the northeastern Tibetan Plateau

Wang,

Zhou,

et al. 2024

Land Degrad Dev

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In the ecologically fragile alpine area of the Tibetan Plateau, some marginalised cultivated lands have more serious conflicts related to agricultural production and ecological protection than others; thus, it is of practical significance to explore the rational use of marginalised cultivated lands. In this study, Xining City and Haidong City in the northeastern part of the Tibetan Plateau were taken as the study area. Marginalised cultivated land was identified, and the vegetation photosynthesis model was used to evaluate its production function. Ecological function was evaluated in terms of soil retention, landscape connectivity and habitat maintenance. The rational use pathways of marginalised cultivated land were derived through statistical analysis and aggregation model analysis. The results showed that there were 183,489.19 ha of marginalised cultivated land in the study area; the average value of production function of marginalised cultivated land was approximately 70% of that of nonmarginalised cultivated land, and its various ecological functions reached 93.64%–117.98% of that of nonmarginalised cultivated land. In general, the distribution of production functions decreases from northwest to southeast, and the ecological functions are high in the middle and low in the surroundings. A comprehensive analysis of the production and ecological functions of marginalised cultivated land can provide a reference basis for the rational formulation of cultivated land protection policies and ecological protection policies.

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Cultivated Land Input Behavior of Different Types of Rural Households and Its Impact on Cultivated Land-Use Efficiency: A Case Study of the Yimeng Mountain Area, China

Cited by 5 publications

References 63 publications

Does Labor Transfer Improve Farmers’ Willingness to Withdraw from Farming?—A Bivariate Probit Modeling Approach

Does Labor Transfer Improve Farmers’ Willingness to Withdraw from Farming?—A Bivariate Probit Modeling Approach

Research on the characteristics and influencing factors of the spatial correlation network of cultivated land utilization ecological efficiency in the upper reaches of the Yangtze River, China

Is marginalised cultivated land on the Tibetan Plateau suitable for production or ecology? An example from the northeastern Tibetan Plateau

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