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Characteristics and Driving Forces of Non-Grain Production of Cultivated Land from the Perspective of Food Security

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Listed:
  • Yongfu Li

    (Architecture Department, Shanghai Academy of Fine Arts, Shanghai University, Shanghai 200444, China)

  • Bochuan Zhao

    (Architecture Department, Shanghai Academy of Fine Arts, Shanghai University, Shanghai 200444, China)

  • An Huang

    (School of Architecture, Tsinghua University, Beijing 100084, China)

  • Binyu Xiong

    (Architecture Department, Shanghai Academy of Fine Arts, Shanghai University, Shanghai 200444, China)

  • Canfeng Song

    (Architecture Department, Shanghai Academy of Fine Arts, Shanghai University, Shanghai 200444, China)

Abstract

A large proportion of the cultivated land in China has been used for non-grain production purposes. As food insecurity is worsening worldwide, this issue has attracted attention from the Chinese government. In order to curb this trend and to ensure food security, this paper explores the quantitative characteristics and spatial distribution of cultivated land used for non-grain purposes in Liyang City, Jiangsu Province, and discusses the clustering characteristics and mechanisms behind this based on spatial autocorrelation analysis and geographically weighted regression (GWR). The results show that most of the cultivated land in Liyang City has not been used for non-grain purposes, and the cultivated land reserve is abundant. Among all land types, irrigable land has the largest non-grain production rate of cultivated land. There is no significant spatial correlation of cultivated land for non-grain purposes in most towns in Liyang, among which Kunlun Street is in the High-High (HH) zone and Daibu Town in the Low-High (LH) zone. It is also found that the same factor has various impacts on the non-grain production of cultivated land in different towns, and the number of enterprises is the core factor that leads to the non-grain use of cultivated land in Liyang city. Low food prices lead some farmers to plant other crops with higher economic benefits, and also lead to the outflow of the rural labor force. This will not only accelerate the non-grain production of cultivated land, but also cause a large amount of cultivated land to be in a state of unmanned cultivation, further aggravating the proportion of non-grain production in cultivated land.

Suggested Citation

  • Yongfu Li & Bochuan Zhao & An Huang & Binyu Xiong & Canfeng Song, 2021. "Characteristics and Driving Forces of Non-Grain Production of Cultivated Land from the Perspective of Food Security," Sustainability, MDPI, vol. 13(24), pages 1-18, December.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:24:p:14047-:d:706702
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    References listed on IDEAS

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    1. Su, Yue & Qian, Kui & Lin, Lin & Wang, Ke & Guan, Tao & Gan, Muye, 2020. "Identifying the driving forces of non-grain production expansion in rural China and its implications for policies on cultivated land protection," Land Use Policy, Elsevier, vol. 92(C).
    2. Zang, Yuzhu & Liu, Yansui & Yang, Yuanyuan & Woods, Michael & Fois, Francesca, 2020. "Rural decline or restructuring? Implications for sustainability transitions in rural China," Land Use Policy, Elsevier, vol. 94(C).
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    Cited by:

    1. Zhang, Daojun & Yang, Wanjing & Kang, Dingrong & Zhang, Han, 2023. "Spatial-temporal characteristics and policy implication for non-grain production of cultivated land in Guanzhong Region," Land Use Policy, Elsevier, vol. 125(C).
    2. Qing Li & Xueyan Zhang, 2022. "Identifying Peach Trees in Cultivated Land Using U-Net Algorithm," Land, MDPI, vol. 11(7), pages 1-15, July.
    3. Junjun Zhi & Xinyue Cao & Wangbing Liu & Yang Sun & Da Xu & Caiwei Da & Lei Jin & Jin Wang & Zihao Zheng & Shuyuan Lai & YongJiao Liu & Guohai Zhu, 2023. "Remote Sensing Monitoring and Spatial Pattern Analysis of Non-Grain Production of Cultivated Land in Anhui Province, China," Land, MDPI, vol. 12(8), pages 1-21, July.
    4. Baoshu Wu & Meifang Liu & Yufei Wan & Zhenjiang Song, 2023. "Evolution and Coordination of Cultivated Land Multifunctionality in Poyang Lake Ecological Economic Zone," Sustainability, MDPI, vol. 15(6), pages 1-18, March.
    5. Pei-Fang Ma & Da-Fang Wu & Tong Lin & Zhao-Jun Wu & Zhao-Cheng Li & Yi-Xuan Liang & Yu-Cheng Zhang & Huan-Ming Lai, 2022. "Spatio-Temporal Coupling Relationship between Rural Population and Cultivated Land Changes at the County Level in Guangdong Province," Sustainability, MDPI, vol. 14(22), pages 1-17, November.

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