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New Energy Development and Pollution Emissions in China

China’s rapid economic growth is accompanied by increasing energy consumption and severe environmental problems. As sustainable development can only be achieved by reducing energy intensity, new energy and renewable energy investment, as well as improving traditional energy efficiency, is becoming i...

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Detalles Bibliográficos
Autores principales: Li, Ying, Chiu, Yung-ho, Lu, Liang Chun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6572023/
https://www.ncbi.nlm.nih.gov/pubmed/31109040
http://dx.doi.org/10.3390/ijerph16101764
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author Li, Ying
Chiu, Yung-ho
Lu, Liang Chun
author_facet Li, Ying
Chiu, Yung-ho
Lu, Liang Chun
author_sort Li, Ying
collection PubMed
description China’s rapid economic growth is accompanied by increasing energy consumption and severe environmental problems. As sustainable development can only be achieved by reducing energy intensity, new energy and renewable energy investment, as well as improving traditional energy efficiency, is becoming increasingly important. However, past energy efficiency assessments using data envelopment analysis (DEA) models mostly focused on radial and non-radial DEA model analyses. However, traditional radial DEA models ignore non-radial slacks when evaluating efficiency values, and non-radial DEA models ignore the same proportionality as radial DEA when evaluating efficiency value slacks. To balance the radial and non-radial model characteristics and consider undesirable output, this study combines a modified Epsilou-based measure (EBM) DEA and undesirable output and proposes a modified undesirable EBM DEA model to analyze the efficiency of China’s new and traditional energy sources. The empirical results found that (1) most new energy investment in most municipalities/provinces rapidly grew from 2013 to 2016; (2) as the annual efficiency score was only 1 in Beijing, Inner Mongolia, Shanghai, and Tianjin, the other 26 municipalities/provinces need significant improvements; (3) traditional energy efficiency scores were higher than new energy efficiency; and (4) NO(2) efficiencies are slightly better than CO(2) and SO(2) efficiencies.
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spelling pubmed-65720232019-06-18 New Energy Development and Pollution Emissions in China Li, Ying Chiu, Yung-ho Lu, Liang Chun Int J Environ Res Public Health Article China’s rapid economic growth is accompanied by increasing energy consumption and severe environmental problems. As sustainable development can only be achieved by reducing energy intensity, new energy and renewable energy investment, as well as improving traditional energy efficiency, is becoming increasingly important. However, past energy efficiency assessments using data envelopment analysis (DEA) models mostly focused on radial and non-radial DEA model analyses. However, traditional radial DEA models ignore non-radial slacks when evaluating efficiency values, and non-radial DEA models ignore the same proportionality as radial DEA when evaluating efficiency value slacks. To balance the radial and non-radial model characteristics and consider undesirable output, this study combines a modified Epsilou-based measure (EBM) DEA and undesirable output and proposes a modified undesirable EBM DEA model to analyze the efficiency of China’s new and traditional energy sources. The empirical results found that (1) most new energy investment in most municipalities/provinces rapidly grew from 2013 to 2016; (2) as the annual efficiency score was only 1 in Beijing, Inner Mongolia, Shanghai, and Tianjin, the other 26 municipalities/provinces need significant improvements; (3) traditional energy efficiency scores were higher than new energy efficiency; and (4) NO(2) efficiencies are slightly better than CO(2) and SO(2) efficiencies. MDPI 2019-05-18 2019-05 /pmc/articles/PMC6572023/ /pubmed/31109040 http://dx.doi.org/10.3390/ijerph16101764 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Ying
Chiu, Yung-ho
Lu, Liang Chun
New Energy Development and Pollution Emissions in China
title New Energy Development and Pollution Emissions in China
title_full New Energy Development and Pollution Emissions in China
title_fullStr New Energy Development and Pollution Emissions in China
title_full_unstemmed New Energy Development and Pollution Emissions in China
title_short New Energy Development and Pollution Emissions in China
title_sort new energy development and pollution emissions in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6572023/
https://www.ncbi.nlm.nih.gov/pubmed/31109040
http://dx.doi.org/10.3390/ijerph16101764
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