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The Spatial and Temporal Research on the Coupling and Coordinated Relationship between Social Economy and Energy Environment in the Belt and Road Initiatives

Author

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  • Shuo Wang

    (School of New Energy and Environment, Jilin University, Changchun 130012, China)

  • Junnian Song

    (School of New Energy and Environment, Jilin University, Changchun 130012, China)

  • Xian’En Wang

    (School of New Energy and Environment, Jilin University, Changchun 130012, China)

  • Wei Yang

    (School of New Energy and Environment, Jilin University, Changchun 130012, China)

Abstract

The Belt and Road Initiative (BRI) was presented by China’s central government to achieve regional economic cooperation under the background of economic globalization. Energy and environmental problems, as by-products of economic success, are fundamental concerns in this grand project. An integrated method that combined the coupling coordinated degree model, Moran’s I , and the spatial panel data model was used in the research zone. Results of the coupling coordinated degree model indicated that the statuses of the social economy and the energy environment of the countries in the research zone improved from 1997 to 2014, with the changes in China and Eastern Europe being particularly significant. From the spatial econometric perspective, the coupling coordinated degrees of the countries in the research zone appeared in the spatial cluster in accordance with Moran’s I . The result of the spatial panel data model indicated that the coupling coordinated degree of one country positively affected those of its neighboring countries.

Suggested Citation

  • Shuo Wang & Junnian Song & Xian’En Wang & Wei Yang, 2019. "The Spatial and Temporal Research on the Coupling and Coordinated Relationship between Social Economy and Energy Environment in the Belt and Road Initiatives," Sustainability, MDPI, vol. 11(2), pages 1-18, January.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:2:p:407-:d:197703
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    Cited by:

    1. Wang, Na & Fu, Xiaodong & Wang, Shaobin, 2022. "Spatial-temporal variation and coupling analysis of residential energy consumption and economic growth in China," Applied Energy, Elsevier, vol. 309(C).
    2. Menghua Deng & Junfei Chen & Feifei Tao & Jiulong Zhu & Min Wang, 2022. "On the Coupling and Coordination Development between Environment and Economy: A Case Study in the Yangtze River Delta of China," IJERPH, MDPI, vol. 19(1), pages 1-20, January.
    3. Yanhong Zhao & Peng Hou & Jinbao Jiang & Jun Zhai & Yan Chen & Yongcai Wang & Junjun Bai & Bing Zhang & Haitao Xu, 2021. "Coordination Study on Ecological and Economic Coupling of the Yellow River Basin," IJERPH, MDPI, vol. 18(20), pages 1-18, October.
    4. Lei Ding & Kunlun Chen & Yidi Hua & Hongan Dong & Anping Wu, 2020. "Investigating the Relationship between the Industrial Structure and Atmospheric Environment by an Integrated System: A Case Study of Zhejiang, China," Sustainability, MDPI, vol. 12(3), pages 1-21, February.
    5. Chuchu Zhang & Chaowei Xiao & Helin Liu, 2019. "Spatial Big Data Analysis of Political Risks along the Belt and Road," Sustainability, MDPI, vol. 11(8), pages 1-16, April.
    6. Wenjun Li & Peng Li & Zhiming Feng & Chiwei Xiao, 2022. "GIS-Based Modeling of Human Settlement Suitability for the Belt and Road Regions," IJERPH, MDPI, vol. 19(10), pages 1-17, May.
    7. Yiting Zhu & Xueru Pang & Chunshan Zhou & Xiong He, 2022. "Coupling Coordination Degree between the Socioeconomic and Eco-Environmental Benefits of Koktokay Global Geopark in China," IJERPH, MDPI, vol. 19(14), pages 1-25, July.
    8. Xiaoye Jin & Meiying Li & Fansheng Meng, 2019. "Comprehensive Evaluation of the New Energy Power Generation Development at the Regional Level: An Empirical Analysis from China," Energies, MDPI, vol. 12(23), pages 1-15, December.

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