Identifying the driving forces of non-grain production expansion in rural China and its implications for policies on cultivated land protection

Su, Yue; Qian, Kui; Lin, Lin; Wang, Ke; Guan, Tao; Gan, Muye

doi:10.1016/j.landusepol.2019.104435

Cited by 122 publications

(90 citation statements)

References 51 publications

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“…Zhao et al [19] explored the mechanisms of China's NGF based on an analysis of urbanization rate, per capita disposable income of rural households, proportion of nonagricultural industry in GDP, per household cultivated land, number of agricultural employees and other variables. Su et al [11] analyzed the driving forces of different nongrain production types by using multinomial logistic regression modeling with geophysical, proximate, neighborhood and policy variables.…”

Section: Variable Selectionmentioning

confidence: 99%

“…On the other hand, demands for various means of production and living caused by the agglomeration of population, industry and other factors promote the development of NGF. In addition, against the background of a rural population flowing to urban areas in China, the relatively low income from grain production causes a large number of transferred lands to be used for nongrain crop production [11,46]; 3 PCDIRs in both local and neighboring areas have a significant positive effect on the development of NGF. The increase in farmers' income improves their lives, and their consumption habits and diet structure have also changed correspondingly, gradually shifting from a grain-based diet to a diverse assortment of grain, fruits, vegetables, etc.…”

Section: Factors Influencing Ngf In Chinamentioning

confidence: 99%

“…China has been a large agricultural country since ancient times, and farming plays a significant and unique role in national economic and social development [8]. Since the reform and opening up in 1978, rapid industrialization and urbanization have promoted remarkable changes in China's farming structure [9][10][11], and the outstanding performance is the continuous decrease in grain crops and the rapid increase in nongrain crops such as vegetable and oil crops [12,13]. However, as the most populous country in the world, Land 2021, 10, 902 2 of 16 China's per capita grain output has long been hovering right at the standard line of food safety (400 kg/person) set by the FAO for a long time [14][15][16], which suggests a grim outlook for national food security.…”

Section: Introductionmentioning

confidence: 99%

“…However, as the most populous country in the world, Land 2021, 10, 902 2 of 16 China's per capita grain output has long been hovering right at the standard line of food safety (400 kg/person) set by the FAO for a long time [14][15][16], which suggests a grim outlook for national food security. In addition, unreasonable nongrain farming (NGF) in some areas has exacerbated this structural imbalance between the supply and demand of agricultural products, which increases the challenges to food security and is not conducive to agricultural development [11,17]. Against this background, NGF has not only become a focus of public attention and government work but also an important object of research by scholars.…”

Section: Introductionmentioning

confidence: 99%

“…In terms of research content, existing studies on China's NGF have mainly focused on analyzing the impacts of industrialization and urbanization [10,11,18,19], economic growth [11,20], the income of rural residents [21,22], and other variables on the development of NGF and have investigated how to protect cultivated land and ensure national food security in a context of growing NGF [11,20,23,24]. With the advancement of land system reform and the improvement of the rural land market, increasing attention has also been given to the role of NGF in the process of land circulation, focusing on investigating the causes of NGF and proposing the appropriate regulatory path to guide agricultural development [19,20,25].…”

Section: Introductionmentioning

confidence: 99%

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Identifying the Determinants of Nongrain Farming in China and Its Implications for Agricultural Development

Guo

Wang

2021

Land

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Promoted by rapid industrialization and urbanization, the structure and spatial pattern of farming in China has changed greatly, and nongrain farming (NGF) has become more common. However, excessive NGF in some areas is not conducive to sustainable agricultural development and threatens China’s food security. In this study, we briefly analyze the stage characteristics of NGF in China and investigate the spatial agglomeration of NGF and its influencing factors from the perspective of spatial econometrics. The results showed that the average annual growth rate of NGF in China from 1985 to 2019 was 0.64%, and there was a growing positive spatial correlation between NGF in each province. Spatial Durbin model (SDM) estimation showed that both the per capita disposable income of local rural residents and the local urbanization rate promoted the development of NGF, while local per capita farmland, road density, and the functional orientation of the main grain-producing areas had a negative impact on NGF. The per capita disposable income of rural households and urbanization rate in neighboring areas had a promoting effect on the development of NGF, while road density in neighboring areas was negatively correlated with NGF. Ultimately, some targeted measures are proposed to promote China’s agricultural development in the new era.

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Section: Variable Selectionmentioning

confidence: 99%

Section: Factors Influencing Ngf In Chinamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Identifying the Determinants of Nongrain Farming in China and Its Implications for Agricultural Development

Guo

Wang

2021

Land

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Formation mechanism and sustainable productivity impacts of non‐grain croplands: Evidence from Sichuan Province, China

et al. 2022

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Non‐grain cropland is a typical phenomenon with some common characteristics globally. As the most populous country, China's non‐grain cropland threatens global food supply stability and affects food production sustainability under the current complex situation of international food security. This paper used Sichuan Province, China, to explore the formation mechanism of non‐grain cropland and its potential impact on sustainable productivity, given the regional environment complexity and socioeconomic representativeness. High‐precision land survey data were used to detect multiscale non‐grain influencing factors and discuss non‐grain impacts on soil state to fill the knowledge gap on microlevel development of non‐grain issues. Results show that rotation type is the region's most abundant and widely distributed cropland type, accounting for about 59.38% of the total cropland area; the second is abandonment type. Urbanization indicators are the common factors affecting the non‐grain spatial distribution on the global scale; environmental variables' impact on non‐grain shows significant differences in geographical locations on the local scale. Overall, cash type and intercrop type aim at improving production conditions. Rotation type and fallow type mostly occur in areas with low production capacity and are prominently driven by policies. Abandonment type is subject to terrain constraints, production conditions, and social economy. Additionally, non‐grain trends have not caused significant damage to soil sustainable productivity except for the positive promotion of field biodiversity. Non‐grain cropland can be divided into three clusters according to the corresponding average soil fertility state, rotation, intercrop, cash, abandonment, and fallow. Policymakers must implement specific policies for different cropland types and formulate more refined farming management plans.

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A non‐grain production on cropland spatiotemporal change detection method based on Landsat time‐series data

He,

Jiang,

Xiao

et al. 2024

Land Degrad Dev

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Global food security is being threatened by the reduction of high‐quality cropland, extreme weather events, and the uncertainty of food supply chains. The globalization of agricultural trade has elevated the diversification of non‐grain production (NGP) on cultivated land to a prominent strategy for poverty alleviation in numerous developing nations. Its rapid expansion has engendered a multitude of deleterious consequences on both food security and ecological stability. NGP in China is becoming very common in the process of rapid urbanization, threatening national food security. To better understand the causal mechanisms and enable governments to balance food security and rural development, it is crucial to have a clear understanding of the spatiotemporal dynamics of NGP using remote sensing. Yet knowledge gaps remain concerning how to use remote sensing to track human‐dominated or ‐induced long‐term cultivated land changes. Our study proposed a method for detecting the spatiotemporal evolution of NGP based on Landsat time‐series data under the Google Earth Engine platform. This approach was proposed by (1) obtaining the union of cultivated lands from multiple landcover products to minimize the cultivated land omission, (2) constructing multi‐index dynamic trend rules for 3 representative types of NGP and obtaining results at the pixel level, while adopting the continuous change detection and classification algorithm to Landsat time series (1986–2022) to determine when the most recent change occurred, (3) minimizing the noise by object‐oriented land use–land cover classification and mode filter approaches, and (4) mapping the spatiotemporal distribution of NGP. The proposed methodology was tested in Jiashan, located in Zhejiang Province (eastern China), where NGP is widespread. We achieved a high overall accuracy of 95.67% for NGP type detection and an overall accuracy of 85.26% for change detection of time. The results indicated a continued increasing pattern of NGP in Jiashan from 1986 to 2022, with the cumulative percentage of NGP increasing from 0.02% to 20.69%. This study highlights the utilization of time‐series data to document essential NGP information for evaluating food security in China and the method is well‐suited for large‐scale mapping due to its automatic manner.

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Identifying the driving forces of non-grain production expansion in rural China and its implications for policies on cultivated land protection

Cited by 122 publications

References 51 publications

Identifying the Determinants of Nongrain Farming in China and Its Implications for Agricultural Development

Identifying the Determinants of Nongrain Farming in China and Its Implications for Agricultural Development

Formation mechanism and sustainable productivity impacts of non‐grain croplands: Evidence from Sichuan Province, China

A non‐grain production on cropland spatiotemporal change detection method based on Landsat time‐series data

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