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The Coupling Synergy Effect of Economic and Environment in Developed Area: An Empirical Study from the Yangtze River Delta Urban Agglomeration in China

Author

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  • Yongqiang Yin

    (School of Economics, Hangzhou Normal University, Hangzhou 311121, China)

  • Zhenxiao Xu

    (Alibaba Business School, Hangzhou Normal University, Hangzhou 311121, China)

Abstract

Coordination between economic development (ED) and ecological environment (EE) is an important challenge for high-quality urban development. Taking the panel data related to the ED and EE of the Yangtze River Delta urban agglomeration (YUA) from 2009 to 2019 as the research objective, the evaluation system of ED and EE was constructed by introducing the coupling coordination degree model and the gray correlation degree model to analyze their development indices, coupling coordination degree and gray correlation degree in two spatial and temporal dimensions. Research results: (1) The ED indexes and EE indexes of the 26 cities in the YUA have obvious differences in different cities, and there is no synergy between the two indices. (2) The coupling coordination degree of the YUA shows a pattern of high in the east and low in the west, high in the center and low in the north and south in space, and an overall increasing trend in time. (3) In terms of gray correlation, the correlation between ED quality dimension and EE level dimension is the highest. According to the conclusion, when both the economy and environment present consistency at a high level, it will help the city’s economy to develop more efficiently and rapidly.

Suggested Citation

  • Yongqiang Yin & Zhenxiao Xu, 2022. "The Coupling Synergy Effect of Economic and Environment in Developed Area: An Empirical Study from the Yangtze River Delta Urban Agglomeration in China," IJERPH, MDPI, vol. 19(12), pages 1-16, June.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:12:p:7444-:d:841719
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    References listed on IDEAS

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    1. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    2. Yu, Binbin, 2021. "Ecological effects of new-type urbanization in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    3. Wang, Zheng-Xin & Jv, Yue-Qi, 2021. "A non-linear systematic grey model for forecasting the industrial economy-energy-environment system," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    4. Tang, Zi, 2015. "An integrated approach to evaluating the coupling coordination between tourism and the environment," Tourism Management, Elsevier, vol. 46(C), pages 11-19.
    5. Kemp-Benedict, Eric, 2014. "The inverted pyramid: A neo-Ricardian view on the economy–environment relationship," Ecological Economics, Elsevier, vol. 107(C), pages 230-241.
    6. Zhenxiao Xu & Yongqiang Yin, 2021. "Regional Development Quality of Yangtze River Delta: From the Perspective of Urban Population Agglomeration and Ecological Efficiency Coordination," Sustainability, MDPI, vol. 13(22), pages 1-16, November.
    7. JiYoung Park & G. William Page, 2017. "Innovative green economy, urban economic performance and urban environments: an empirical analysis of US cities," European Planning Studies, Taylor & Francis Journals, vol. 25(5), pages 772-789, May.
    8. Rashid Gill, Abid & Viswanathan, Kuperan K. & Hassan, Sallahuddin, 2018. "The Environmental Kuznets Curve (EKC) and the environmental problem of the day," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1636-1642.
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    Cited by:

    1. Dong Feng & Jiayi Han & Han Jia & Xinyuan Chang & Jiaqi Guo & Pinghua Huang, 2023. "Regional Economic Growth and Environmental Protection in China: The Yellow River Basin Economic Zone as an Example," Sustainability, MDPI, vol. 15(14), pages 1-20, July.
    2. He Liu & Xueming Li & Yingying Guan & Songbo Li & He Sun, 2023. "Comprehensive Evaluation and Analysis of Human Settlements’ Suitability in the Yangtze River Delta Based on Multi-Source Data," IJERPH, MDPI, vol. 20(2), pages 1-18, January.
    3. Chengfu Wang & Lijun Song & Haoqi Lu & Shuxin Zheng & Chengfeng Huang, 2022. "Assessing the Economic Energy Level of the Chengdu–Chongqing Economic Circle: An Integrative Perspective of “Field Source” and “Field”," Sustainability, MDPI, vol. 14(16), pages 1-22, August.
    4. Wei Hu & Jingsong Liu, 2023. "The Coupling and Coordination of Urban Modernization and Low-Carbon Development," Sustainability, MDPI, vol. 15(19), pages 1-19, September.
    5. Zhongwu Zhang & Huimin Li & Yongjian Cao, 2022. "Research on the Coordinated Development of Economic Development and Ecological Environment of Nine Provinces (Regions) in the Yellow River Basin," Sustainability, MDPI, vol. 14(20), pages 1-14, October.

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