Will land circulation sway “grain orientation”? The impact of rural land circulation on farmers’ agricultural planting structures

Peng, Jiquan; Chen, Juan; Su, Chen; Wu, Zhifeng; Liu, Yang; Liu, Wenji

doi:10.1371/journal.pone.0253158

Cited by 21 publications

(13 citation statements)

References 51 publications

(86 reference statements)

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“…Green agriculture is a crucial part of this global sustainable development blueprint [19]. Many nations have made reasonable attempts to realize green agriculture, including ecologically friendly farmland circulation emphasizing the maintenance of farmland quantities (see, e.g., the Conservation Reserve Program of the United States [20]; Common Agricultural Policy in the European Union [21]; Summer Fallow in Australia [22]; the Ecological Farming System of Farmland Circulation in China [23]) and measures aimed at maintaining the farmland quality, especially avoiding farmland pollution. There are numerous pollution sources in farmland, such as chemical fertilizers and pesticides [24,25], agriculture film [26], municipal refuse [27], and industrial sewage [28].…”

Section: Research Background 21 Green Agriculture and Ecological Fert...mentioning

confidence: 99%

“…First, green agriculture is a major direction for Chinese agriculture development and the solution for the problems facing China, such as deteriorating land quality and land yields. The Chinese government has focused on maintaining the quantity of farmland (e.g., through agriculture land circulation programs [23]). It is not until recent years that the Chinese government has begun to emphasize the significance of maintaining farmland quality in the face of significant soil fertility decline, pollution, and potential risks to food security and sustainability development, and has thus devoted attention to exploring policies for farmland quality maintenance.…”

Section: Research Samplementioning

confidence: 99%

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Small-Scale Farmers’ Preference Heterogeneity for Green Agriculture Policy Incentives Identified by Choice Experiment

Zhu

Chen

2022

Sustainability

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This study addresses differentiation among small-scale farmers’ preferences for green agriculture policy incentive mixes. Transforming modern agriculture to ecological fertilization and pest extermination practices is paramount in developing green agriculture, but policy incentives aimed at stimulating small-scale farmers’ adoption of ecological fertilization and deinsectization techniques are often challenged by those farmers’ heterogeneous characteristics and their consequent mixed incentive preferences. We establish a model examining the interplay between small-scale farmers’ characteristics (e.g., age, education level, family size, participation in agricultural organization) and combinations of incentive policies (i.e., green subsidy, technical support, environmental propaganda, agricultural insurance) in farmers’ willingness to participate in ecological fertilization/deinsectization, using a sample of 1032 Chinese farmers. By applying a mixed logit model and latent class model regressions, we find that farmers’ age, education level, family size, and farming organization participation are the most important characteristics influencing farmers’ preferences. Specifically, senior farmers tend to accept an incentive policy combination of green subsidy and technical support; farmers with higher education levels prefer an incentive policy combination of technical support and environmental propaganda; and larger families prefer an incentive policy combination of technical support and agricultural insurance. Additionally, participation in any agricultural organization reduces the household’s preference for incentive policy combinations of technical support, agricultural insurance, and green subsidy. Based on these findings, a typology of small farmers’ green agriculture incentive preferences (including security, monetary, and autonomy orientations) is proposed, offering suggestions for future green agriculture policy optimization.

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Section: Research Background 21 Green Agriculture and Ecological Fert...mentioning

confidence: 99%

Section: Research Samplementioning

confidence: 99%

Small-Scale Farmers’ Preference Heterogeneity for Green Agriculture Policy Incentives Identified by Choice Experiment

Zhu

Chen

2022

Sustainability

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“…In combination with the research basis of its predecessors, we used previous research results to measure the level of non-grain production by the proportion of non-grain crops planted to the total area of crops sown, where non-grain crops are based on relevant Chinese laws and regulations and are non-grain crops other than cereals, soybeans, and tuber crops [ 15 , 48 , 49 ]. The formula can be written as follows:

…”

Section: Methodsmentioning

confidence: 99%

A Study on the Spatial–Temporal Evolution and Driving Factors of Non-Grain Production in China’s Major Grain-Producing Provinces

Ran

Zhang

Jing

2022

IJERPH

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Food self-sufficiency in a large country with 1.4 billion people is very important for the Chinese government, especially in the context of COVID-19 and the Russian–Ukrainian conflict. The objective of this paper is to explore the spatial–temporal evolution and driving factors of non-grain production in thirteen major grain-producing provinces in China, which account for more than 75% of China’s grain production, using 2011–2020 prefecture-level statistics. In the present study, the research methodology included GIS spatial analysis, hot spot analysis, and spatial Durbin model (SDM). The findings of this study are as follows: (1) The regions with a higher level of non-grain production were mainly concentrated in the central and western regions of Inner Mongolia, the middle and lower reaches of Yangtze River and Sichuan, while the regions with a low level of non-grain production were mainly distributed in the Northeast Plain. The regions with a higher proportion of grain production to the national total grain production were concentrated in the Northeast Plain, the North China Plain, and the Middle and Lower Yangtze River Plain of China. The hot spot regions with changes in non-grain production levels were mainly distributed in the Sichuan region and Alashan League City in Inner Mongolia, and the cold spot regions were mainly distributed in Hebei, Shandong, Henan, and other regions. (2) An analysis of the SDM indicated that the average air temperature among the natural environment factors, the ratio of the sum of gross secondary and tertiary industries to GDP, the ratio of gross primary industry to the GDP of economic development level, the urbanization rate of social development, and the difference in disposable income per capita between urban and rural residents of the urban–rural gap showed positive spatial spillover effects. The grain yield per unit of grain crop sown area of grain production resource endowment, the total population of social development, and the area sown to grain crops per capita of grain production resource endowment all showed negative spatial spillover effects. The research results of this paper can provide a reference for the country to carry out the governance of non-grain production and provide a reference for China’s food security guarantee.

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“…Land and labor are important factors of production for farmers, a relationship that many scholars have thoroughly discussed, but more scholars focus on the analysis of non-farm employment as an influence of land transfer [ 1 , 2 , 3 ], and only a few scholars analyze the impact of land transfer on non-agricultural employment of rural households [ 4 , 5 ], mainly from the perspective of the evolution of the land system and the development of the transfer market [ 6 ]. The non-farm employment of rural labor force is closely related to the rural land system [ 7 ], as the adjustment of contracted land management rights will reduce farmers’ expectation of the stability of land rights [ 8 , 9 ], make farmers divest their possession of land use rights and turn to invest more labor force in the field of non-farm production [ 10 , 11 , 12 ]. Subsequently, many scholars found that land right confirmation can increase the expectation of pure farming farmers on the stability of land property rights and eliminate their concerns after land transfer [ 13 , 14 , 15 ]; moreover, the land scale effect will improve agricultural production efficiency [ 16 ], thus promoting the employment of rural labor force [ 17 ].…”

Section: Literature Review and Theoretical Mechanismsmentioning

confidence: 99%

Research on the Impact of Rural Land Transfer on Non-Farm Employment of Farm Households: Evidence from Hubei Province, China

Chen

Peng

Zhang

2022

IJERPH

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Agricultural scale operations and industrialization promote the transfer of the rural labor force to the industry sector, and the non-farm employment of farmers plays a great role in increasing their income and reducing poverty. It is of great significance to explore the non-farm employment of farmers for the governance of relative poverty and the achievement of common prosperity. The propensity score matching (PSM) and generalized propensity score matching (GPSM) were used to analyze the impact of rural land transfer on farm households’ non-farm employment. According to the PSM estimation, compared to the farmers’ land not transferred, the rural land transfer significantly increased the proportion of non-farm employment personnel in farm households and the months of per year non-farm employment per person. The total land transfer, paddy land transfer and dry land transfer could significantly increase the proportion of non-farm employment personnel in farm households by 0.074, 0.029 and 0.085 units, respectively, and could significantly increase the months of per year non-farm employment per person by 0.604, 0.394 and 0.617 units, respectively. According to the GPSM estimation, different types of rural land transfer areas have significant positive effects on the proportion of non-farm workers and the months of per year non-farm employment per person, and show an obvious increasing trend of returns to scale, that is, the proportion of non-farm workers and the months of per year non-farm employment per person of farmers are higher than the increase in rural land transfer area. Additionally, the return to scale effect of dry land transfer area is more obvious. In order to raise the income of farm households and narrow the gap between urban and rural areas, the land transfer system can be further improved, urbanization with the county town as an important carrier can be vigorously promoted, the participation of farm households in non-farm employment in the local area can be promoted and the support policy system for non-farm employment of rural labor force can be improved.

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Will land circulation sway “grain orientation”? The impact of rural land circulation on farmers’ agricultural planting structures

Cited by 21 publications

References 51 publications

Small-Scale Farmers’ Preference Heterogeneity for Green Agriculture Policy Incentives Identified by Choice Experiment

Small-Scale Farmers’ Preference Heterogeneity for Green Agriculture Policy Incentives Identified by Choice Experiment

A Study on the Spatial–Temporal Evolution and Driving Factors of Non-Grain Production in China’s Major Grain-Producing Provinces

Research on the Impact of Rural Land Transfer on Non-Farm Employment of Farm Households: Evidence from Hubei Province, China

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