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Is There Coupling Effect between Financial Support and Improvement of Human Settlement? A Case Study of the Middle and Lower Regions of the Yangtze River, China

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  • Weimin Yan

    (Binjiang College, Nanjing University of Information Science and Technology, Wuxi 214105, China
    School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China)

  • Benhong Peng

    (Binjiang College, Nanjing University of Information Science and Technology, Wuxi 214105, China
    School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China)

  • Guo Wei

    (Department of Mathematics and Computer Science, University of North Carolina at Pembroke, Pembroke, NC 28372, USA)

  • Anxia Wan

    (School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China)

Abstract

Currently, there are opposing views on the issue of whether financial support plays a role in improving the human settlement. This article is dedicated to exploring the mutual influence of financial support and the improvement of human settlements from the perspective of coupling effects, and determining the characteristics of coupling and coordination to promote the sustainable development of China and developing countries. This paper uses the entropy method and the coupling coordination model to estimate the coupling and coordination types of financial support and human settlements in seven provinces in the middle and lower reaches of the Yangtze River from 2005 to 2018. In addition, the spatial autocorrelation model is adopted to determine the spatial agglomeration characteristics of the coupling and coordination of financial support and human settlements. All in all, this paper believes that financial support has improved the human settlements, and that there is a coupling effect. Specifically, the coupling coordination value of financial support and human settlements fluctuated from 0.034 to 0.436, showing an inverted U-shaped development trend as a whole. In addition, the correlation between financial support and the improvement of the human settlements is currently in the stage of barely balanced development, and there is a gap between benign and coordinated development. Secondly, the coupling and coordination between financial support and human settlements has significant spatial agglomeration characteristics, and the coupling effect in the eastern region is weaker than that in the western region. In particular, Jiangxi was mainly distributed as high to high agglomeration, and Jiangsu was mainly distributed as high to low agglomeration. It has formed a coupling and coordinated development area with Jiangsu-Jiangxi as the axis, radiating the development of adjacent areas. This research reveals the heterogeneity of financial support to the improvement of human settlements in different regions, portrays the coupling characteristics of financial support and the improvement of human settlements, and provides ideas for the coordinated development of the two.

Suggested Citation

  • Weimin Yan & Benhong Peng & Guo Wei & Anxia Wan, 2021. "Is There Coupling Effect between Financial Support and Improvement of Human Settlement? A Case Study of the Middle and Lower Regions of the Yangtze River, China," Sustainability, MDPI, vol. 13(15), pages 1-16, July.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:15:p:8131-:d:598288
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    1. Guangming Cui & Xuliang Zhang & Zhaohui Zhang & Yinghui Cao & Xiujun Liu, 2019. "Comprehensive Land Carrying Capacities of the Cities in the Shandong Peninsula Blue Economic Zone and their Spatio-Temporal Variations," Sustainability, MDPI, vol. 11(2), pages 1-12, January.
    2. Guan, Jialin & Kirikkaleli, Dervis & Bibi, Ayesha & Zhang, Weike, 2020. "Natural resources rents nexus with financial development in the presence of globalization: Is the “resource curse” exist or myth?," Resources Policy, Elsevier, vol. 66(C).
    3. Holtz-Eakin, Douglas & Selden, Thomas M., 1995. "Stoking the fires? CO2 emissions and economic growth," Journal of Public Economics, Elsevier, vol. 57(1), pages 85-101, May.
    4. Leung, Charles Ka Yui & Sarpça, Sinan & Yilmaz, Kuzey, 2012. "Public housing units vs. housing vouchers: Accessibility, local public goods, and welfare," Journal of Housing Economics, Elsevier, vol. 21(4), pages 310-321.
    5. Xin Yan & Min Chen & Mu-Yen Chen, 2019. "Coupling and Coordination Development of Australian Energy, Economy, and Ecological Environment Systems from 2007 to 2016," Sustainability, MDPI, vol. 11(23), pages 1-13, November.
    6. Henderson, J. Vernon & Wang, Hyoung Gun, 2007. "Urbanization and city growth: The role of institutions," Regional Science and Urban Economics, Elsevier, vol. 37(3), pages 283-313, May.
    7. John E. Anderson, 2009. "Financing Urban Development in China," Chinese Economy, Taylor & Francis Journals, vol. 42(2), pages 48-62, March.
    8. Zhao, Yabo & Wang, Shaojian & Ge, Yuejing & Liu, Qianqian & Liu, Xiaofeng, 2017. "The spatial differentiation of the coupling relationship between urbanization and the eco-environment in countries globally: A comprehensive assessment," Ecological Modelling, Elsevier, vol. 360(C), pages 313-327.
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    1. Tiancheng Xie & Xinyan Liu & Pingjun Nie, 2022. "Study on Spatial–Temporal Patterns and Factors Influencing Human Settlement Quality in Beijing," Sustainability, MDPI, vol. 14(7), pages 1-23, March.

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