Labor Off-Farm Employment and Cropland Abandonment in Rural China: Spatial Distribution and Empirical Analysis

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 t...

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Main Authors: Xin Deng, Dingde Xu, Yanbin Qi, Miao Zeng
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:International Journal of Environmental Research and Public Health
Subjects:
Online Access:http://www.mdpi.com/1660-4601/15/9/1808
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spelling doaj-05ea9cacb9fc4bdba98c9ac027d7baf02020-11-25T01:06:00ZengMDPI AGInternational Journal of Environmental Research and Public Health1660-46012018-08-01159180810.3390/ijerph15091808ijerph15091808Labor Off-Farm Employment and Cropland Abandonment in Rural China: Spatial Distribution and Empirical AnalysisXin Deng0Dingde Xu1Yanbin Qi2Miao Zeng3Collage of Economics, Sichuan Agricultural University, Chengdu 611130, ChinaSichuan Center for Rural Development Research, College of Management of Sichuan Agricultural University, Chengdu 611130, ChinaCollage of Economics, Sichuan Agricultural University, Chengdu 611130, ChinaSchool of Economics of Sichuan University, Chengdu 610065, ChinaAlleviating 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.http://www.mdpi.com/1660-4601/15/9/1808cropland abandonmentlabor off-farm employmentspatial distributionrural China
collection DOAJ
language English
format Article
sources DOAJ
author Xin Deng
Dingde Xu
Yanbin Qi
Miao Zeng
spellingShingle Xin Deng
Dingde Xu
Yanbin Qi
Miao Zeng
Labor Off-Farm Employment and Cropland Abandonment in Rural China: Spatial Distribution and Empirical Analysis
International Journal of Environmental Research and Public Health
cropland abandonment
labor off-farm employment
spatial distribution
rural China
author_facet Xin Deng
Dingde Xu
Yanbin Qi
Miao Zeng
author_sort Xin Deng
title Labor Off-Farm Employment and Cropland Abandonment in Rural China: Spatial Distribution and Empirical Analysis
title_short Labor Off-Farm Employment and Cropland Abandonment in Rural China: Spatial Distribution and Empirical Analysis
title_full Labor Off-Farm Employment and Cropland Abandonment in Rural China: Spatial Distribution and Empirical Analysis
title_fullStr Labor Off-Farm Employment and Cropland Abandonment in Rural China: Spatial Distribution and Empirical Analysis
title_full_unstemmed Labor Off-Farm Employment and Cropland Abandonment in Rural China: Spatial Distribution and Empirical Analysis
title_sort labor off-farm employment and cropland abandonment in rural china: spatial distribution and empirical analysis
publisher MDPI AG
series International Journal of Environmental Research and Public Health
issn 1660-4601
publishDate 2018-08-01
description 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.
topic cropland abandonment
labor off-farm employment
spatial distribution
rural China
url http://www.mdpi.com/1660-4601/15/9/1808
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