Influencing factors and spatial differentiation of cultivated land abandonment at the household scale

Guo, Beibei; FANG, Yelin; Zhou, Yongqiang; Protection,

doi:10.18402/resci.2020.04.09

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…To rigorously control the impact of omitted variables, referring to previous studies [38,42,44], this study includes control variables at the levels of household heads, households, and villages, which are considered the factors affecting farmland abandonment by farming households. (1) At the household head level, this study controls variables such as the age, sex, and education level of the household head.…”

Section: Control Variablesmentioning

confidence: 99%

Does E-Commerce Participation among Farming Households Affect Farmland Abandonment? Evidence from a Large-Scale Survey in China

Zhou,

Ji,

Zhao

2024

Land

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Reducing farmland abandonment is crucial for food security. While the association between e-commerce proliferation and farmland abandonment at the village level has been discussed, the correlation at the farming household level remains unexplored. Utilizing 2020 survey data from 3831 rural households across 10 Chinese provinces, this study develops an “e-commerce–household–farmland abandonment” framework to explore the co-occurrence of e-commerce engagement with farmland abandonment, using econometric models. The findings reveal that e-commerce engagement significantly increases farmland abandonment, with implicit and explicit rates rising by 10.3% and 28.5%, respectively. It also shifts household incomes from planting to forestry, animal husbandry, and fisheries, leading households to reallocate labor away from agriculture, thereby intensifying abandonment. However, land transfer can alleviate this co-occurrence. This study also explores the variation in the association between e-commerce participation and farmland abandonment in relation to agricultural subsidies, economic development, and the presence of family farms. By elucidating the dynamics at the household level, this research offers fresh perspectives for developing countries to safeguard food security by curbing farmland abandonment.

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Section: Control Variablesmentioning

confidence: 99%

Does E-Commerce Participation among Farming Households Affect Farmland Abandonment? Evidence from a Large-Scale Survey in China

Zhou,

Ji,

Zhao

2024

Land

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“…(2) There is a minimum labor input that guarantees the basic output per unit of arable land. If it is less than the minimum input, there is recessive abandonment of underutilized arable land, and no input corresponds to explicit abandonment [86][87][88][89]. If all the cropland of the family is not invested, it is regarded as completely abandoned or completely withdrawn.…”

Section: Interpretation Of the Evolution Process And Mechanism Of Cropland Abandonmentmentioning

confidence: 99%

Degree of Abandoned Cropland and Socioeconomic Impact Factors in China: Multi-Level Analysis Model Based on the Farmer and District/County Levels

Jiang

Song

2021

Land

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At present, abandoned cropland has become a common phenomenon spreading to countries around the world. China has seen widespread abandoned cropland in recent years. However, there are extremely few empirical studies of cropland abandonment and influencing factors nationwide. In this study, survey data from 8071 farmer households in 14 Chinese provinces were used to analyze the degree of cropland abandonment in China and its spatial distribution. A multi-level model was constructed to quantitatively explore the socioeconomic factors affecting the degree of cropland abandonment, at both the farmer and district/county levels. The results show that: (1) the proportion of farmers and the spatial distribution of abandoned cropland are consistent. (2) Chongqing City, Guangdong Province, and Shanxi Province are high-value areas of abandoned cropland, while Shandong, Liaoning, Henan and Jiangsu provinces are low-value areas. (3) Among the differences in cropland abandonment, 68.5% and 31.5% can be explained at the farmer and district/county level, respectively. (4) At the farmer level, all labor and cropland transfer indicators, including land labor quantity per unit area, male agricultural labor ratio, farmers mainly of middle-aged labor, cropland transfer area and cropland subcontract amount, have significant negative effects on the degree of abandoned cropland. There is a significant negative correlation between the value of agricultural operating fixed assets in the agricultural input indicators and the degree of abandoned cropland, but participation in professional, cooperative, economic, agricultural organizations has no significant impact on the degree of abandoned cropland. The per capita disposable income, which represents the quality of life indicator, has a significant positive impact on the degree of abandoned cropland. (5) At the district/county level, the proportion of the total co-working labor force and the transfer rate of cropland are negatively related to the degree of cropland abandonment, and the proportion of the co-working labor force outside the district/county is positively related to the degree of cropland abandonment. In addition, we briefly analyzed the mechanism and process of cropland abandonment from the perspective of farmers’ decision-making. Finally, the policy suggestions to alleviate the abandonment of cropland were put forward from the district/county and farmer level, respectively.

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Spatio-Temporal Pattern of Cropland Abandonment in Hilly and Mountainous Areas: A Case Study of Jiangxi, China

Jiaming,

Hualin

2024

Journal of Resources and Ecology

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Influencing factors and spatial differentiation of cultivated land abandonment at the household scale

Cited by 3 publications

References 7 publications

Does E-Commerce Participation among Farming Households Affect Farmland Abandonment? Evidence from a Large-Scale Survey in China

Does E-Commerce Participation among Farming Households Affect Farmland Abandonment? Evidence from a Large-Scale Survey in China

Degree of Abandoned Cropland and Socioeconomic Impact Factors in China: Multi-Level Analysis Model Based on the Farmer and District/County Levels

Spatio-Temporal Pattern of Cropland Abandonment in Hilly and Mountainous Areas: A Case Study of Jiangxi, China

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