ArticleInternational journal of environmental research and public health2018
Labor Off-Farm Employment and Cropland Abandonment in Rural China: Spatial Distribution and Empirical Analysis.
Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Rural human settlement environment, non-agricultural transfer of labour and arable land abandonment in China.Heliyon · 2024Article
- The impact of the digital economy on land transfer-out decisions among Chinese farmers: evidence from CHFS micro-data.Scientific reports · 2024Article
- Status, Trend, and Prospect of Global Farmland Abandonment Research: A Bibliometric Analysis.International journal of environmental research and public health · 2022Review
- Does Institutional Social Insurance Cause the Abandonment of Cultivated Land? Evidence from Rural China.International journal of environmental research and public health · 2022Article
- Study on the impact of environmental pollution on farmland abandonment.Environmental science and pollution research international · 2022Article
- Article
- Household Health and Cropland Abandonment in Rural China: Theoretical Mechanism and Empirical Evidence.International journal of environmental research and public health · 2019Article
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Authors and funding
4 authors.
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Abstract
Alleviating cropland misallocation is helpful for the sustainable development of agriculture. Does off-farm employment inevitably result in cropland misallocation (e.g., cropland abandonment) and threaten the sustainable development of agriculture? This study differs from prior studies in its view that off-farm employment does not necessarily result in cropland abandonment. Specifically, the study employs survey data from 8031 peasant households from 27 provinces in rural China and spatial statistics to analyze the distribution of off-farm employment and cropland abandonment. Empirical models (i.e., IV-Probit and IV-Tobit) are used to examine the quantitative relation between off-farm employment and cropland abandonment. The results are as follows. (1) The spatial distribution of off-farm employment or cropland abandonment differs among regions. Regions with a higher rate of off-farm employment show more cropland abandonment but a lower average area of cropland abandonment. (2) Off-farm employment has a significant and positive correlation with cropland abandonment. However, its square has a significant and negative correlation with cropland abandonment; i.e., there is an inverted U-shaped relationship between off-farm employment and cropland abandonment, with the turning point occurring at 46.00% off-farm employment. (3) Off-farm employment has a significant and positive correlation with the area of cropland abandonment. However, its square has a significant and negative correlation with the area; i.e., there is an inverted U-shaped relationship between off-farm employment and area, with the turning point occurring at 44.50% off-farm employment. This study reveals the relationship between off-farm employment and cropland abandonment and provides policymakers with references for use in developing sustainable agriculture.
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