Factors influencing the spatial correlation network of energy environmental efficiency

Yun Zheng (), Jie Huang () and Jianfeng Wang ()
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Yun Zheng: Xinyang Normal University
Jie Huang: Xinyang Normal University
Jianfeng Wang: Millersville University of Pennsylvania

No 7208749, Proceedings of International Academic Conferences from International Institute of Social and Economic Sciences

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.

Keywords: energy environmental efficiency; spatial correlation network; impact factors. (search for similar items in EconPapers)
JEL-codes: Q40 Q43 Q48 (search for similar items in EconPapers)
Pages: 10 pages
Date: 2018-06
New Economics Papers: this item is included in nep-ene and nep-tra
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Citations: View citations in EconPapers (2)

Published in Proceedings of the Proceedings of the 36th International Academic Conference, London, Jun 2018, pages 296-305

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Persistent link: https://EconPapers.repec.org/RePEc:sek:iacpro:7208749

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