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Revisiting China’s provincial energy efficiency and its influencing factors
Improving the energy efficiency is a fundamental way to ensure energy security and sustainable development, and is also the requirement of supply-side structural reform of China’s energy. This paper uses the DEA-BCC model to estimate China’s energy efficiency at the provincial level, analyzes its re...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7382643/ https://www.ncbi.nlm.nih.gov/pubmed/32834422 http://dx.doi.org/10.1016/j.energy.2020.118361 |
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author | Liu, Haomin Zhang, Zaixu Zhang, Tao Wang, Liyang |
author_facet | Liu, Haomin Zhang, Zaixu Zhang, Tao Wang, Liyang |
author_sort | Liu, Haomin |
collection | PubMed |
description | Improving the energy efficiency is a fundamental way to ensure energy security and sustainable development, and is also the requirement of supply-side structural reform of China’s energy. This paper uses the DEA-BCC model to estimate China’s energy efficiency at the provincial level, analyzes its regional differences from 2006 to 2016, and applies a panel data model to analyze the influencing factors of energy efficiency. It selects labor, capital stock and total energy consumption as inputs and takes real GDP and comprehensive index of environmental pollution as desirable and undesirable outputs, respectively. The results show that (1) energy efficiency when undesirable output is included is generally lower than when undesirable output is excluded; (2) There is a considerable difference in energy efficiency among provinces, and China’s energy efficiency, by and large, shows a trend of declining. The energy efficiency of four major regions demonstrates obvious regional differences: coastal region>northeastern region> middle region >western region; (3) The economic development level, technological progress, energy price and urbanization level are positively associated with energy efficiency, while the proportion of secondary industry and the energy consumption structure dominated by coal and oil are negatively correlated with energy efficiency. |
format | Online Article Text |
id | pubmed-7382643 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73826432020-07-28 Revisiting China’s provincial energy efficiency and its influencing factors Liu, Haomin Zhang, Zaixu Zhang, Tao Wang, Liyang Energy (Oxf) Article Improving the energy efficiency is a fundamental way to ensure energy security and sustainable development, and is also the requirement of supply-side structural reform of China’s energy. This paper uses the DEA-BCC model to estimate China’s energy efficiency at the provincial level, analyzes its regional differences from 2006 to 2016, and applies a panel data model to analyze the influencing factors of energy efficiency. It selects labor, capital stock and total energy consumption as inputs and takes real GDP and comprehensive index of environmental pollution as desirable and undesirable outputs, respectively. The results show that (1) energy efficiency when undesirable output is included is generally lower than when undesirable output is excluded; (2) There is a considerable difference in energy efficiency among provinces, and China’s energy efficiency, by and large, shows a trend of declining. The energy efficiency of four major regions demonstrates obvious regional differences: coastal region>northeastern region> middle region >western region; (3) The economic development level, technological progress, energy price and urbanization level are positively associated with energy efficiency, while the proportion of secondary industry and the energy consumption structure dominated by coal and oil are negatively correlated with energy efficiency. Elsevier Ltd. 2020-10-01 2020-07-26 /pmc/articles/PMC7382643/ /pubmed/32834422 http://dx.doi.org/10.1016/j.energy.2020.118361 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Liu, Haomin Zhang, Zaixu Zhang, Tao Wang, Liyang Revisiting China’s provincial energy efficiency and its influencing factors |
title | Revisiting China’s provincial energy efficiency and its influencing factors |
title_full | Revisiting China’s provincial energy efficiency and its influencing factors |
title_fullStr | Revisiting China’s provincial energy efficiency and its influencing factors |
title_full_unstemmed | Revisiting China’s provincial energy efficiency and its influencing factors |
title_short | Revisiting China’s provincial energy efficiency and its influencing factors |
title_sort | revisiting china’s provincial energy efficiency and its influencing factors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7382643/ https://www.ncbi.nlm.nih.gov/pubmed/32834422 http://dx.doi.org/10.1016/j.energy.2020.118361 |
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