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Understanding Relationships between Cultivated Land Pressure and Economic Development Level across Spatiotemporal Characteristics: Implications for Supporting Land-Use Management Decisions

Author

Listed:
  • Dan Yang

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China)

  • Zhenyue Liu

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China)

  • Pengyan Zhang

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
    Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Henan University, Ministry of Education, Kaifeng 475004, China
    Regional Planning and Development Center, Henan University, Kaifeng 475004, China)

  • Zhuo Chen

    (Department of Geography, Kent State University, Kent, OH 44242, USA)

  • Yinghui Chang

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China)

  • Qianxu Wang

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China)

  • Xinyue Zhang

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China)

  • Rong Lu

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China)

  • Mengfan Li

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China)

  • Guangrui Xing

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China)

  • Guanghui Li

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China)

Abstract

Food security is crucial to world peace. Economic development has posed a great threat to the protection of cultivated land. Considering 20 cities in the lower Yellow River (AALYR) as the study area, this study explored the spatial evolution of cultivated land pressure (CLP) and economic development from 1998 to 2018, revealing the spatiotemporal coupling characteristics of the CLP index and economic development. The main results are as follows: we discerned that CLP and economic development have an obvious spatiotemporal consistency during 1998–2018. The CLP showed a spatial pattern of overall stability, as well as local changes. Most prefecture-level cities experienced decreased significantly in CLP and improvements in food security. Overall, there were regional differences in the coupling relationships between CLP and economic development in the study area. The explanatory power of the proportion of secondary and tertiary industries were significantly higher than other driving factors. Therefore, while developing the economy rapidly, we should also protect cultivated land resources and improve the coordination level between them, which is essential to guarantee food security and a steady economic development.

Suggested Citation

  • Dan Yang & Zhenyue Liu & Pengyan Zhang & Zhuo Chen & Yinghui Chang & Qianxu Wang & Xinyue Zhang & Rong Lu & Mengfan Li & Guangrui Xing & Guanghui Li, 2022. "Understanding Relationships between Cultivated Land Pressure and Economic Development Level across Spatiotemporal Characteristics: Implications for Supporting Land-Use Management Decisions," IJERPH, MDPI, vol. 19(23), pages 1-17, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:16362-:d:995356
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    References listed on IDEAS

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    1. Kuang, Bing & Lu, Xinhai & Zhou, Min & Chen, Danling, 2020. "Provincial cultivated land use efficiency in China: Empirical analysis based on the SBM-DEA model with carbon emissions considered," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    2. Lai, Zhaohao & Chen, Meiqiu & Liu, Taoju, 2020. "Changes in and prospects for cultivated land use since the reform and opening up in China," Land Use Policy, Elsevier, vol. 97(C).
    3. Xie, Hualin & Chen, Qianru & Wang, Wei & He, Yafen, 2018. "Analyzing the green efficiency of arable land use in China," Technological Forecasting and Social Change, Elsevier, vol. 133(C), pages 15-28.
    4. Zhang, Pengyan & Yang, Dan & Qin, Mingzhou & Jing, Wenlong, 2020. "Spatial heterogeneity analysis and driving forces exploring of built-up land development intensity in Chinese prefecture-level cities and implications for future Urban Land intensive use," Land Use Policy, Elsevier, vol. 99(C).
    5. Lu, Xiao & Shi, Yangyang & Chen, Changling & Yu, Miao, 2017. "Monitoring cropland transition and its impact on ecosystem services value in developed regions of China: A case study of Jiangsu Province," Land Use Policy, Elsevier, vol. 69(C), pages 25-40.
    6. Peter Warr, 2014. "Food insecurity and its determinants," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 58(4), pages 519-537, October.
    7. Park, Jung-Ho & Han, Man-Hee, 2018. "Modern state formation and land management in South Korea: 1945–1960," Land Use Policy, Elsevier, vol. 78(C), pages 662-671.
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    Cited by:

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