IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i10p1666-d1497689.html
   My bibliography  Save this article

Research on the Coupling and Coordination of Land Ecological Security and High-Quality Agricultural Development in the Han River Basin

Author

Listed:
  • Yuelong Su

    (Key Laboratory for Geographical Process Analysis & Simulation in Hubei Province, Central China Normal University, Wuhan 430079, China
    The College of Urban & Environmental Sciences, Central China Normal University, Wuhan 430079, China)

  • Yucheng Liu

    (Key Laboratory for Geographical Process Analysis & Simulation in Hubei Province, Central China Normal University, Wuhan 430079, China
    The College of Urban & Environmental Sciences, Central China Normal University, Wuhan 430079, China)

  • Yong Zhou

    (Key Laboratory for Geographical Process Analysis & Simulation in Hubei Province, Central China Normal University, Wuhan 430079, China
    The College of Urban & Environmental Sciences, Central China Normal University, Wuhan 430079, China)

  • Jiakang Liu

    (Key Laboratory for Geographical Process Analysis & Simulation in Hubei Province, Central China Normal University, Wuhan 430079, China
    The College of Urban & Environmental Sciences, Central China Normal University, Wuhan 430079, China)

Abstract

This study aims to investigate the coupling and harmonization between land ecological security (LES) and high-quality agricultural development (HAD) in the Han River Basin (HRB), China, with the objective of promoting harmonious coexistence between agriculture and ecosystems. Using 17 cities in the HRB as the research objects, an evaluation index system of two systems, LES and HAD, was constructed, analyzed, and evaluated via projective tracer modeling for multiple intelligent genetic algorithms (MIGA-PTM). The degree of coupling coordination (DCC) was used to quantitatively evaluate the coupling coordination development status of the two systems, the obstacle model (OM) was used to identify the main influencing factors, and the gray predictive model first-order univariate model (GM (1, 1)) was used to predict the DCC of the LES and HAD from 2025 to 2040. The results show the following: (1) the LES and HAD levels of the 17 cities in the HRB tended to increase during the study period, and there was a large gap between cities; (2) the spatial distributions of the DCCs of the LES and HAD in the HRB were uneven, with high values in the southern and low values in the central and northern parts, and the overall degree of coupling tended to fluctuate. The overall DCC showed a fluctuating upward trend; (3) the degree of obstacles, per capita water resources, greening coverage, and rate of return on financial expenditure are the main influencing factors; and (4) the prediction results of GM (1, 1) indicate that the LES and HAD of the HRB will be close to reaching the intermediate stage of coupling in 2035. This research offers critical insights into sustainable development practices that facilitate the alignment of agricultural growth with ecological preservation.

Suggested Citation

  • Yuelong Su & Yucheng Liu & Yong Zhou & Jiakang Liu, 2024. "Research on the Coupling and Coordination of Land Ecological Security and High-Quality Agricultural Development in the Han River Basin," Land, MDPI, vol. 13(10), pages 1-28, October.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:10:p:1666-:d:1497689
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/10/1666/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/13/10/1666/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Changhong Chen & Huijie Zhang, 2023. "Evaluation of Green Development Level of Mianyang Agriculture, Based on the Entropy Weight Method," Sustainability, MDPI, vol. 15(9), pages 1-22, May.
    2. Xufeng Cui & Ting Cai & Wei Deng & Rui Zheng & Yuehua Jiang & Hongjie Bao, 2022. "Indicators for Evaluating High-Quality Agricultural Development: Empirical Study from Yangtze River Economic Belt, China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(3), pages 1101-1127, December.
    3. Lee, Eun-Kyung & Cook, Dianne & Klinke, Sigbert & Lumley, Thomas, 2005. "Projection pursuit for exploratory supervised classification," SFB 649 Discussion Papers 2005-026, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    4. Loperfido, Nicola, 2018. "Skewness-based projection pursuit: A computational approach," Computational Statistics & Data Analysis, Elsevier, vol. 120(C), pages 42-57.
    5. Lindan Zhang & Wenfu Peng & Ji Zhang, 2023. "Assessment of Land Ecological Security from 2000 to 2020 in the Chengdu Plain Region of China," Land, MDPI, vol. 12(7), pages 1-28, July.
    6. Yafei Wang & Li Xie & Yi Zhang & Chunyun Wang & Ke Yu, 2019. "Does FDI Promote or Inhibit the High-Quality Development of Agriculture in China? An Agricultural GTFP Perspective," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    7. Shuai Qin & Zheying Han & Hong Chen & Haokun Wang & Cheng Guo, 2022. "High-Quality Development of Chinese Agriculture under Factor Misallocation," IJERPH, MDPI, vol. 19(16), pages 1-20, August.
    8. Yuqi Zhu & Siwei Shen & Linyu Du & Jun Fu & Jian Zou & Lina Peng & Rui Ding, 2023. "Spatial and Temporal Interaction Coupling of Digital Economy, New-Type Urbanization and Land Ecology and Spatial Effects Identification: A Study of the Yangtze River Delta," Land, MDPI, vol. 12(3), pages 1-27, March.
    Full references (including those not matched with items on IDEAS)

    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. Ursula Laa & Dianne Cook, 2020. "Using tours to visually investigate properties of new projection pursuit indexes with application to problems in physics," Computational Statistics, Springer, vol. 35(3), pages 1171-1205, September.
    2. Min Zhou & Hanxiaoxue Sun & Nan Ke, 2022. "The Spatial and Temporal Evolution of Coordination Degree Concerning China’s Cultivated Land Green Utilization Efficiency and High-Quality Agricultural Development," Land, MDPI, vol. 12(1), pages 1-21, December.
    3. Mingliang Zhao & Fangyi Liu & Wei Sun & Xin Tao, 2020. "The Relationship between Environmental Regulation and Green Total Factor Productivity in China: An Empirical Study Based on the Panel Data of 177 Cities," IJERPH, MDPI, vol. 17(15), pages 1-19, July.
    4. Mengjie Tian & Mingyong Hong & Ji Wang, 2023. "Land resources, market-oriented reform and high-quality agricultural development," Economic Change and Restructuring, Springer, vol. 56(6), pages 4165-4197, December.
    5. Yaoyao Wang & Yuanpei Kuang, 2023. "Evaluation, Regional Disparities and Driving Mechanisms of High-Quality Agricultural Development in China," Sustainability, MDPI, vol. 15(7), pages 1-20, April.
    6. Loperfido, Nicola, 2021. "Some theoretical properties of two kurtosis matrices, with application to invariant coordinate selection," Journal of Multivariate Analysis, Elsevier, vol. 186(C).
    7. Daniel Rojas-Diaz & Alexandra Catano-Lopez & Carlos M. Vélez & Santiago Ortiz & Henry Laniado, 2024. "Confidence sub-contour box: an alternative to traditional confidence intervals," Computational Statistics, Springer, vol. 39(5), pages 2821-2858, July.
    8. Yang Qi & Mingyue Gao & Haoyu Wang & Huijie Ding & Jianxu Liu & Songsak Sriboonchitta, 2023. "Does Marketization Promote High-Quality Agricultural Development in China?," Sustainability, MDPI, vol. 15(12), pages 1-28, June.
    9. Yuanying Chi & Wenbing Zhou & Zhenyu Wang & Yu Hu & Xiao Han, 2021. "The Influence Paths of Agricultural Mechanization on Green Agricultural Development," Sustainability, MDPI, vol. 13(23), pages 1-16, November.
    10. Junyan Tian, 2023. "Does agricultural official development assistance facilitate foreign direct investment in agriculture: Evidence from 63 developing countries," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(3), pages 702-718, September.
    11. Zhuohui Yu & Shiping Mao & Qingning Lin, 2022. "Has China’s Carbon Emissions Trading Pilot Policy Improved Agricultural Green Total Factor Productivity?," Agriculture, MDPI, vol. 12(9), pages 1-21, September.
    12. Lee, Sharon X. & McLachlan, Geoffrey J., 2022. "An overview of skew distributions in model-based clustering," Journal of Multivariate Analysis, Elsevier, vol. 188(C).
    13. Feng Zhou & Chunhui Wen, 2023. "Research on the Level of Agricultural Green Development, Regional Disparities, and Dynamic Distribution Evolution in China from the Perspective of Sustainable Development," Agriculture, MDPI, vol. 13(7), pages 1-47, July.
    14. Anna Jiang & Wanshun Zhang & Feng Zhou & Hong Peng & Xin Liu & Yue Wang & Xiao Zhang, 2023. "Quantitative Assessment of Spatial–Temporal Characteristics of Agricultural Development Level in China: A County-Level Analysis," Sustainability, MDPI, vol. 15(22), pages 1-20, November.
    15. Wen Yao & Zhuo Sun, 2023. "The Impact of the Digital Economy on High-Quality Development of Agriculture: A China Case Study," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
    16. Yaping Zhang & Jianjun Zhang & Yufei Li & Sen Liang & Wei Chen & Yixin Dai, 2024. "Revealing the Spatial-Temporal Evolution and Obstacles of Ecological Security in the Xiamen-Zhangzhou-Quanzhou Region, China," Land, MDPI, vol. 13(3), pages 1-23, March.
    17. Nannan Wang & Dengfeng Cui, 2023. "Impact of demonstration zone policy on agricultural science and technology innovation: evidence from China," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    18. Shuai Qin & Hong Chen, 2024. "Scientific and Technological Innovation Effects on High-Quality Agricultural Development: Spatial Boundaries and Mechanisms," Agriculture, MDPI, vol. 14(9), pages 1-19, September.
    19. Shushi, Tomer, 2018. "A proof for the existence of multivariate singular generalized skew-elliptical density functions," Statistics & Probability Letters, Elsevier, vol. 141(C), pages 50-55.
    20. Lina Peng & Juan Liang & Kexin Wang & Wenqian Xiao & Jian Zou & Yuxuan Hong & Rui Ding, 2024. "Exploring Spatial-Temporal Coupling and Its Driving Factors of Green and Low-Carbon Urban Land Use Efficiency and High-Quality Economic Development in China," Sustainability, MDPI, vol. 16(8), pages 1-31, April.

    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:jlands:v:13:y:2024:i:10:p:1666-:d:1497689. 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.