Does land tenure fragmentation aggravate farmland abandonment? Evidence from big survey data in rural China

Wang, Jiayi; Fang, Xiaoqian; Li, Guoyu; Cao, Yu

doi:10.1016/j.jrurstud.2022.03.013

Cited by 34 publications

(36 citation statements)

References 57 publications

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“…For cropland abandonment, a total of 14.58 percent of farmers chose to abandon their cropland, and the average proportion of the area of abandoned cropland in farmers' contracted cropland area was 8.46 percent. These results were in accordance with China's actual situation, that most farmers do not abandon their cropland [7,26]. The average proportion of farmers who accessed AMHSs was 29.81 percent.…”

Section: Descriptive Statistics Analysissupporting

confidence: 86%

“…On the other hand, population aging is a social phenomenon faced by all countries in the world, including China with 13.50 percent elderly people [56]. However, the surplus elderly labor force can still manage the cropland when the young and middle-aged labor force participate in non-agricultural work [26,54]. This undoubtedly proves that the elderly labor force may be an important resource to manage the cropland, which will reduce the cropland abandonment caused by labor migration.…”

Section: Discussionmentioning

confidence: 99%

“…In addition, this study also defined other control variables that may affect the dependent variables. According to the previous research related to the driving mechanisms of cropland abandonment (e.g., Wang et al (2022) [26], Ma et al (2020) [28]), this study defined the control variables as the characteristics of the household head (e.g., gender, age, years of education, village cadre status, multiple occupations, and internet access with mobile phone), the household (i.e., the proportion of children, the proportion of seniors, and access to credit), the agricultural production (i.e., the area of cropland, the number of land blocks, agricultural machinery ownership, transfers of land out, purchase of agricultural production insurance, and participation in a cooperative), and the village characteristics (i.e., the disputes relating to contracted land, location). In addition, dummy variables for the year and provinces were also included in this study.…”

Section: Definition Of the Model Variablesmentioning

confidence: 99%

“…In terms of the driving mechanism for reducing cropland abandonment, previous research mainly explored land transfer [7,26], population aging [27], agricultural cooperatives [28], internet use [29], etc. Few studies have focused on the critical factors (i.e., agricultural production capacity) in the reduction of cropland abandonment.…”

Section: Introductionmentioning

confidence: 99%

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Can Agricultural Machinery Harvesting Services Reduce Cropland Abandonment? Evidence from Rural China

et al. 2022

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Ending hunger, achieving food security, and promoting sustainable agriculture are the main targets of sustainable development goals. It is well known that cropland resources are the most essential factor in achieving sustainable development goals. However, China has been facing the problem of a continuous reduction in cropland resources. Reducing the abandonment of cropland has become an important way to curb the reduction in cropland resources. Can agricultural machinery harvesting services reduce cropland abandonment in rural China? To answer this scientific question, this study employs the Survey for Agriculture and Village Economy data from 8345 samples of 12 provinces in rural China. The extended regression models (i.e., the extended probit regression model and the extended interval regression model) are used to empirically analyze the relationship between agricultural machinery harvesting services accessed by farmers and cropland abandonment. The results are as follows. Agricultural machinery harvesting services accessed by farmers significantly reduced the probability of cropland abandonment and the proportion of the area of abandoned cropland in farmers’ contracted cropland area decreased by 18.5% and 20.3%, respectively. Moreover, the heterogeneity analysis results showed that farmers’ access to agricultural machinery harvesting services significantly reduced cropland abandonment in small-scale groups, without elderly households, with nonagricultural income groups, and in the eastern region. This study also provides some policy implications for policymakers to reduce cropland abandonment in rural China.

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Section: Descriptive Statistics Analysissupporting

confidence: 86%

Section: Discussionmentioning

confidence: 99%

Section: Definition Of the Model Variablesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Can Agricultural Machinery Harvesting Services Reduce Cropland Abandonment? Evidence from Rural China

et al. 2022

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“…The results of this study also demonstrated that peasant households in the study area generally had challenges of low agricultural production efficiency and irrational agricultural input factors, such as excess labor input and insufficient capital input. This phenomenon is common in mountainous areas with backward economic development and poor land resources [ 59 , 60 , 61 ]. The results of this study can provide useful guidance for optimizing peasant households’ agricultural production and help peasant households rationally allocate agricultural input factors according to household resource endowments and target incomes and choose suitable agricultural production combinations to reduce agricultural risks and increase agricultural production income.…”

Section: Discussionmentioning

confidence: 99%

Optimizing Agricultural Input and Production for Different Types of at-Risk Peasant Households: An Empirical Study of Typical Counties in the Yimeng Mountain Area of Northern China

Wang

Lin

2022

IJERPH

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Using typical counties in the Yimeng Mountain area of northern China as an example, this paper analyzed the household and agricultural input characteristics of different types of peasant households using survey data from 262 farm households. The target minimization of the total absolute deviations (MOTAD) model was applied to determine the optimal combinations in the allocation of agricultural input factors and production for different types of at-risk peasant households to obtain the ideal agricultural income. The relevant results are twofold. (1) The agricultural input behaviors of different types of peasant households vary significantly. The highest levels of agricultural land, labor, and yield-increasing and labor-saving inputs included I part-time peasant households (I PTPH), followed by full-time peasant households (FTPH), while the input levels of II part-time peasant households (II PTPH) and non-agricultural peasant households (NAPH) with higher levels of non-agricultural employment gradually decreased. In general, an increase in peasant households’ part-time employment revealed an inverted U-shaped trend in the agricultural input level, with a trajectory of I PTPH > FTPH > II PTPH > NAPH. (2) The current agricultural inputs and production combinations of different types of peasant households have room for improvement. It is necessary to adjust agricultural inputs and optimize production combinations to obtain target incomes. Overall, all types of peasant households must streamline labor inputs and increase capital inputs, except for I PTPH, for which capital inputs should be reduced. Following optimization, economic crops gradually replace grain crops, and the optimal agricultural incomes of peasant households will be improved. The study results provide practical policy insights for reducing agricultural production risks and improving agricultural production incomes.

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The effects of agricultural machinery services and land fragmentation on farmers' straw returning behavior

Wang,

Song,

Huang

2024

Agribusiness

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Straw returning is important for rural ecological management and sustainable agricultural development. Using farm survey data for Anhui Province, China, in 2020, we applied the double‐hurdle model to investigate the impact of agricultural machinery services and land fragmentation on farmers' straw‐returning behavior, and to explore the relationship between agricultural machinery self‐service and outsourced service. Self‐service had a significant positive effect on farmers' straw‐returning behavior, while outsourced service had a significant positive effect only on degree of adoption. Land fragmentation had a significant negative effect on farmers' straw‐returning behavior, and significantly inhibited the effect of self‐service on adoption decision. Complementarity existed between self‐service and outsourced service in farmers' straw‐returning adoption decision, and the effect was more pronounced among smaller‐scale farmers. There was significant substitutability between self‐service and outsourced service in degree of adoption among larger‐scale farmers. Transfer and integration of rural land, increasing agricultural machinery purchase subsidy, upgrading farmers' self‐service capability, and promoting development of socialized agricultural machinery services should be implemented to promote crop straw returning. EconLit Citations: Q01, Q16.

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Does land tenure fragmentation aggravate farmland abandonment? Evidence from big survey data in rural China

Cited by 34 publications

References 57 publications

Can Agricultural Machinery Harvesting Services Reduce Cropland Abandonment? Evidence from Rural China

Can Agricultural Machinery Harvesting Services Reduce Cropland Abandonment? Evidence from Rural China

Optimizing Agricultural Input and Production for Different Types of at-Risk Peasant Households: An Empirical Study of Typical Counties in the Yimeng Mountain Area of Northern China

The effects of agricultural machinery services and land fragmentation on farmers' straw returning behavior

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