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Factors influencing the spatial correlation network of energy environmental efficiency

Author

Listed:
  • Yun Zheng

    (Xinyang Normal University)

  • Jie Huang

    (Xinyang Normal University)

  • Jianfeng Wang

    (Millersville University of Pennsylvania)

Abstract

Improving energy and environmental efficiency is an inevitable choice for developing countries to achieve sustainable economic and social development. Using VAR Granger causality test method (Granger, 1969), this study identifies the spatial correlation of energy environmental efficiency based on provincial panel data sample between 1995 and 2015 in China; further through the QAP analysis model (Liu, 2014), the factors influencing the spatial correlation network of energy environmental efficiency is empirically analyzed. The results show that the differences of economic development level, energy consumption structure, industrial structure, environmental regulation and technological innovation are significantly correlated with spatial correlation network of energy environmental efficiency; similar economic development level, technical level and industrial structure are beneficial to the formation of spatial correlation network of energy environmental efficiency while the differences of energy consumption structure and environmental regulation have little impact on this process.

Suggested Citation

  • Yun Zheng & Jie Huang & Jianfeng Wang, 2018. "Factors influencing the spatial correlation network of energy environmental efficiency," Proceedings of International Academic Conferences 7208749, International Institute of Social and Economic Sciences.
    • Handle: RePEc:sek:iacpro:7208749
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    File URL: https://iises.net/proceedings/36th-international-academic-conference-london/table-of-content/detail?cid=72&iid=053&rid=8749
    File Function: First version, 2018
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    Citations

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    Cited by:

    1. Chenyu Lu & Peng Meng & Xueyan Zhao & Lu Jiang & Zilong Zhang & Bing Xue, 2019. "Assessing the Economic-Environmental Efficiency of Energy Consumption and Spatial Patterns in China," Sustainability, MDPI, vol. 11(3), pages 1-17, January.
    2. Zhaoqiang Zhong & Benhong Peng & Ehsan Elahi, 2021. "Spatial and temporal pattern evolution and influencing factors of energy–environmental efficiency: A case study of Yangtze River urban agglomeration in China," Energy & Environment, , vol. 32(2), pages 242-261, March.

    More about this item

    Keywords

    energy environmental efficiency; spatial correlation network; impact factors.;
    All these keywords.

    JEL classification:

    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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