IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i24p14047-d706702.html
   My bibliography  Save this article

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

Author

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/24/14047/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/24/14047/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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).
    4. Huang, Dan & Lu, Yanchi & Liu, Yaolin & Liu, Yanfang & Tong, Zhaomin & Xing, Lijun & Dou, Chao, 2024. "Multifunctional evaluation and multiscenario regulation of non-grain farmlands from the grain security perspective: Evidence from the Wuhan Metropolitan Area, China," Land Use Policy, Elsevier, vol. 146(C).
    5. Qing Li & Xueyan Zhang, 2022. "Identifying Peach Trees in Cultivated Land Using U-Net Algorithm," Land, MDPI, vol. 11(7), pages 1-15, July.
    6. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang, Qi & Zhang, Daojun, 2021. "The influence of agricultural industrial policy on non-grain production of cultivated land: A case study of the “one village, one product” strategy implemented in Guanzhong Plain of China," Land Use Policy, Elsevier, vol. 108(C).
    2. Shilei Pan & Chenhui Di & Zhiguang Qu & Abbas Ali Chandio & Abdul Rehman & Huaquan Zhang, 2024. "How do agricultural subsidies affect farmers’ non-grain cultivated land production? Evidence from the fourth rural Chinese households panel data survey," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 41(1), pages 1-24, April.
    3. Chi, Yuan & Liu, Dahai & Wang, Jing & Wang, Enkang, 2020. "Human negative, positive, and net influences on an estuarine area with intensive human activity based on land covers and ecological indices: An empirical study in Chongming Island, China," Land Use Policy, Elsevier, vol. 99(C).
    4. Ying Lu & Walter Timo de Vries, 2023. "Spatio-Temporal Analysis of Rural Development in China over the Past 40 Years," Sustainability, MDPI, vol. 15(11), pages 1-20, May.
    5. Zhixiu Li & Shixi Cheng & Lin Xiao & Yangyang Wei & Tianchuan Fang, 2025. "Sustainability Benefit Evaluation and Optimization of Rural Public Spaces Under Self-Organization Theory," Sustainability, MDPI, vol. 17(3), pages 1-34, January.
    6. Viccaro, Mauro & Romano, Severino & Prete, Carmelina & Cozzi, Mario, 2021. "Rural planning? An integrated dynamic model for assessing quality of life at a local scale," Land Use Policy, Elsevier, vol. 111(C).
    7. Zhao, Yu & Li, Yuheng & Liu, Yansui & Yuan, Xuefeng, 2025. "Evolution of rural human-earth system in midstream of China’s Yellow River and its implications for land use planning: A study of Lingbao County, Henan Province," Land Use Policy, Elsevier, vol. 150(C).
    8. Guang Han & Ping Zhai & Liqun Zhu & Kongqing Li, 2023. "Economic Incentives, Reputation Incentives, and Rural Residents’ Participation in Household Waste Classification: Evidence from Jiangsu, China," Agriculture, MDPI, vol. 13(10), pages 1-15, October.
    9. Xiuling Ding & Qian Lu & Lipeng Li & Apurbo Sarkar & Hua Li, 2023. "Does Labor Transfer Improve Farmers’ Willingness to Withdraw from Farming?—A Bivariate Probit Modeling Approach," Land, MDPI, vol. 12(8), pages 1-27, August.
    10. Qing Li & Xueyan Zhang, 2022. "Identifying Peach Trees in Cultivated Land Using U-Net Algorithm," Land, MDPI, vol. 11(7), pages 1-15, July.
    11. Kuang, Bing & Han, Jing & Lu, Xinhai & Zhang, Xupeng & Fan, Xiangyu, 2020. "Quantitative evaluation of China’s cultivated land protection policies based on the PMC-Index model," Land Use Policy, Elsevier, vol. 99(C).
    12. Jingyuan Zhao & Kai Xin & Tianhui Wang & Weijun Gao & Yuang Guo & Tao Zhang & Jianxin Zhang, 2025. "Supporting sustainable rural development through numerical simulation: a case study in Northwest China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(5), pages 10995-11022, May.
    13. Yingge Wang & Daiyi Song & Cheng Liu & Shuaicheng Li & Man Yuan & Jian Gong & Jianxin Yang, 2025. "Spatial Correlation of Non-Agriculturalization and Non-Grain Utilization Transformation of Cultivated Land in China and Its Implications," Land, MDPI, vol. 14(5), pages 1-26, May.
    14. Liwei Zhao & Qiaobing Yue & Junhong Liang & Shiyi Cheng, 2025. "Evaluation of Rural Livability Considering Social Interactions and Implications for Rural Revitalization: A Case Study of Ezhou City, China," Sustainability, MDPI, vol. 17(9), pages 1-20, April.
    15. Qian, Qian & Wang, Junbang & Zhang, Xiujuan & Wang, Shaoqiang & Li, Yingnian & Wang, Qinxue & Watson, Alan E. & Zhao, Xinquan, 2022. "Improving herders’ income through alpine grassland husbandry on Qinghai-Tibetan Plateau," Land Use Policy, Elsevier, vol. 113(C).
    16. Yanjun Wang & Yanjun Chen & Wang Zhang & I-Chen Chao & Hang Li, 2024. "The Impact of Rural Tourism on Rural Culture Evidence from China," Agriculture, MDPI, vol. 14(12), pages 1-19, November.
    17. Li, Xiaoliang & Wu, Kening & Yang, Qijun & Hao, Shiheng & Feng, Zhe & Ma, Jinliang, 2023. "Quantitative assessment of cultivated land use intensity in Heilongjiang Province, China, 2001–2015," Land Use Policy, Elsevier, vol. 125(C).
    18. Jiachen Ning & Pingyu Zhang & Qifeng Yang & Zuopeng Ma, 2023. "Spatial Pattern of Farmland Transfer in Liaoning Province, China," Agriculture, MDPI, vol. 13(7), pages 1-19, July.
    19. Haizhen Su & Fenggui Liu & Haifeng Zhang & Xiaofan Ma & Ailing Sun, 2024. "Progress and Prospects of Non-Grain Production of Cultivated Land in China," Sustainability, MDPI, vol. 16(9), pages 1-20, April.
    20. Mei Chen & Yangbing Li & Yiyi Zhang & Limin Yu & Linyu Yang, 2023. "Evolution and Transformation Analysis of Land-use in Mountainous “Granary”—Evidence from Typical Basin in Karst Mountainous Areas of Southwest China," Land, MDPI, vol. 13(1), pages 1-19, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:24:p:14047-:d:706702. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.