Regional differences and influencing factors of the carbon emission efficiency from public buildings in China
The rapid development of the tertiary industry has made the energy consumption of public buildings grow too fast during the operation stage, which has become a key area of energy conservation and emission reduction in China’s construction industry. This study uses the Minimum Distance to Strong effe...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-10-01
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| Series: | Frontiers in Environmental Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2022.962264/full |
| _version_ | 1797996407527833600 |
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| author | Yong-Kun Wang Yang Liang Liang-Shan Shao |
| author_facet | Yong-Kun Wang Yang Liang Liang-Shan Shao |
| author_sort | Yong-Kun Wang |
| collection | DOAJ |
| description | The rapid development of the tertiary industry has made the energy consumption of public buildings grow too fast during the operation stage, which has become a key area of energy conservation and emission reduction in China’s construction industry. This study uses the Minimum Distance to Strong effective Frontier function (MinDS) and Malmquist-Luenberger (ML) index analysis methods to measure the public building carbon emission efficiency (PBCEE) of 30 provincial-level units in China’s eight economic regions from 2010 to 2019, and analyze regional differences and evolution. Then, the influencing factors of PBCEE in different regions were analyzed using the fixed-effect panel data model. The results show that: 1) China’s PBCEE is generally low, with an average efficiency value of only 0.74, and there are great differences among regions, showing the spatial characteristics of “high in the east and low in the west.” 2) Relying on the positive impact of technological progress, the PBCEE in the eight regions increased year by year, with an annual growth rate of 1.82%. 3) The influence results and degrees of various factors on PBCEE are different in different economic zones, but increasing the proportion of electricity consumption has a certain positive effect on improving PBCEE. The same influencing factor has obvious threshold characteristics for PBCEE in different regions, so the government needs to consider the actual situation of the region when formulating carbon emission reduction policies for public buildings. |
| first_indexed | 2024-04-11T10:17:01Z |
| format | Article |
| id | doaj.art-3215b578fedb46a29b25003b37edc8a7 |
| institution | Directory Open Access Journal |
| issn | 2296-665X |
| language | English |
| last_indexed | 2024-04-11T10:17:01Z |
| publishDate | 2022-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Environmental Science |
| spelling | doaj.art-3215b578fedb46a29b25003b37edc8a72022-12-22T04:29:55ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2022-10-011010.3389/fenvs.2022.962264962264Regional differences and influencing factors of the carbon emission efficiency from public buildings in ChinaYong-Kun WangYang LiangLiang-Shan ShaoThe rapid development of the tertiary industry has made the energy consumption of public buildings grow too fast during the operation stage, which has become a key area of energy conservation and emission reduction in China’s construction industry. This study uses the Minimum Distance to Strong effective Frontier function (MinDS) and Malmquist-Luenberger (ML) index analysis methods to measure the public building carbon emission efficiency (PBCEE) of 30 provincial-level units in China’s eight economic regions from 2010 to 2019, and analyze regional differences and evolution. Then, the influencing factors of PBCEE in different regions were analyzed using the fixed-effect panel data model. The results show that: 1) China’s PBCEE is generally low, with an average efficiency value of only 0.74, and there are great differences among regions, showing the spatial characteristics of “high in the east and low in the west.” 2) Relying on the positive impact of technological progress, the PBCEE in the eight regions increased year by year, with an annual growth rate of 1.82%. 3) The influence results and degrees of various factors on PBCEE are different in different economic zones, but increasing the proportion of electricity consumption has a certain positive effect on improving PBCEE. The same influencing factor has obvious threshold characteristics for PBCEE in different regions, so the government needs to consider the actual situation of the region when formulating carbon emission reduction policies for public buildings.https://www.frontiersin.org/articles/10.3389/fenvs.2022.962264/fullpublic buildingscarbon emission efficiencyminimum distance to strong effective frontier functionMalmquist-Luenberger indexpanel data model |
| spellingShingle | Yong-Kun Wang Yang Liang Liang-Shan Shao Regional differences and influencing factors of the carbon emission efficiency from public buildings in China Frontiers in Environmental Science public buildings carbon emission efficiency minimum distance to strong effective frontier function Malmquist-Luenberger index panel data model |
| title | Regional differences and influencing factors of the carbon emission efficiency from public buildings in China |
| title_full | Regional differences and influencing factors of the carbon emission efficiency from public buildings in China |
| title_fullStr | Regional differences and influencing factors of the carbon emission efficiency from public buildings in China |
| title_full_unstemmed | Regional differences and influencing factors of the carbon emission efficiency from public buildings in China |
| title_short | Regional differences and influencing factors of the carbon emission efficiency from public buildings in China |
| title_sort | regional differences and influencing factors of the carbon emission efficiency from public buildings in china |
| topic | public buildings carbon emission efficiency minimum distance to strong effective frontier function Malmquist-Luenberger index panel data model |
| url | https://www.frontiersin.org/articles/10.3389/fenvs.2022.962264/full |
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