Factorial Decomposition of the Energy Footprint of the Shaoxing Textile Industry
To present great environmental pressure from energy consumption during textile production, this paper calculates the energy footprint (EFP) of Shaoxing’s textile industry, from 2005 to 2018. Moreover, this study analyzes the relationship between Shaoxing’s textile industry energy consumption and eco...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-04-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/13/7/1683 |
| _version_ | 1797571570312413184 |
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| author | Xiaopeng Wang Xiang Chen Yiman Cheng Luyao Zhou Yi Li Yongliang Yang |
| author_facet | Xiaopeng Wang Xiang Chen Yiman Cheng Luyao Zhou Yi Li Yongliang Yang |
| author_sort | Xiaopeng Wang |
| collection | DOAJ |
| description | To present great environmental pressure from energy consumption during textile production, this paper calculates the energy footprint (EFP) of Shaoxing’s textile industry, from 2005 to 2018. Moreover, this study analyzes the relationship between Shaoxing’s textile industry energy consumption and economic development by using decoupling theory. Furthermore, the Logarithmic Mean Divisia Index decomposition method was employed to investigate the main factors that affect the EFP of Shaoxing’s textile industry. Research results show the following: (1) The growth rate of the total output value of Shaoxing’s textile industry was greater than the growth rate of the EFP, from 2005 to 2007. Thus, the decoupling state showed a weak decoupling, and EFP intensity decreased. (2) The EFP and economic growth were mainly based on the strong decoupling of Shaoxing’s textile industry from 2008 to 2015 (except for 2011), and EFP intensity declined further. (3) Economic recession in the textile industry was severe in Shaoxing, from 2016 to 2018, and the EFP also showed a downward trend. The state of decoupling appeared as a recessive decoupling (2016) and a weak negative decoupling (2017 and 2018), and EFP intensity first increased and then decreased. (4) The total effect of the factors affecting the EFP of the textile industry in Shaoxing demonstrated a pulling trend, and industrial scale played a significant role in driving the EFP. The energy consumption intensity effect contributed the largest restraint. This paper fills in the gaps in the environmental regulation means and methods of pillar industrial clusters in specific regions. |
| first_indexed | 2024-03-10T20:41:38Z |
| format | Article |
| id | doaj.art-128511877e9f4f13a46f26e3ce93dd21 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T20:41:38Z |
| publishDate | 2020-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-128511877e9f4f13a46f26e3ce93dd212023-11-19T20:34:23ZengMDPI AGEnergies1996-10732020-04-01137168310.3390/en13071683Factorial Decomposition of the Energy Footprint of the Shaoxing Textile IndustryXiaopeng Wang0Xiang Chen1Yiman Cheng2Luyao Zhou3Yi Li4Yongliang Yang5Ecological Civilization Research Center of Zhejiang Province, School of economics and management, Zhejiang Sci-Tech University, Hangzhou 310018, ChinaEcological Civilization Research Center of Zhejiang Province, School of economics and management, Zhejiang Sci-Tech University, Hangzhou 310018, ChinaEcological Civilization Research Center of Zhejiang Province, School of economics and management, Zhejiang Sci-Tech University, Hangzhou 310018, ChinaEcological Civilization Research Center of Zhejiang Province, School of economics and management, Zhejiang Sci-Tech University, Hangzhou 310018, ChinaEast China Sea Institute/Collaborative innovation center of Port Economy, Ningbo University, Ningbo 315211, ChinaEcological Civilization Research Center of Zhejiang Province, School of economics and management, Zhejiang Sci-Tech University, Hangzhou 310018, ChinaTo present great environmental pressure from energy consumption during textile production, this paper calculates the energy footprint (EFP) of Shaoxing’s textile industry, from 2005 to 2018. Moreover, this study analyzes the relationship between Shaoxing’s textile industry energy consumption and economic development by using decoupling theory. Furthermore, the Logarithmic Mean Divisia Index decomposition method was employed to investigate the main factors that affect the EFP of Shaoxing’s textile industry. Research results show the following: (1) The growth rate of the total output value of Shaoxing’s textile industry was greater than the growth rate of the EFP, from 2005 to 2007. Thus, the decoupling state showed a weak decoupling, and EFP intensity decreased. (2) The EFP and economic growth were mainly based on the strong decoupling of Shaoxing’s textile industry from 2008 to 2015 (except for 2011), and EFP intensity declined further. (3) Economic recession in the textile industry was severe in Shaoxing, from 2016 to 2018, and the EFP also showed a downward trend. The state of decoupling appeared as a recessive decoupling (2016) and a weak negative decoupling (2017 and 2018), and EFP intensity first increased and then decreased. (4) The total effect of the factors affecting the EFP of the textile industry in Shaoxing demonstrated a pulling trend, and industrial scale played a significant role in driving the EFP. The energy consumption intensity effect contributed the largest restraint. This paper fills in the gaps in the environmental regulation means and methods of pillar industrial clusters in specific regions.https://www.mdpi.com/1996-1073/13/7/1683textile industryenergy footprintdecouplinglogarithmic mean Divisia indexShaoxing |
| spellingShingle | Xiaopeng Wang Xiang Chen Yiman Cheng Luyao Zhou Yi Li Yongliang Yang Factorial Decomposition of the Energy Footprint of the Shaoxing Textile Industry Energies textile industry energy footprint decoupling logarithmic mean Divisia index Shaoxing |
| title | Factorial Decomposition of the Energy Footprint of the Shaoxing Textile Industry |
| title_full | Factorial Decomposition of the Energy Footprint of the Shaoxing Textile Industry |
| title_fullStr | Factorial Decomposition of the Energy Footprint of the Shaoxing Textile Industry |
| title_full_unstemmed | Factorial Decomposition of the Energy Footprint of the Shaoxing Textile Industry |
| title_short | Factorial Decomposition of the Energy Footprint of the Shaoxing Textile Industry |
| title_sort | factorial decomposition of the energy footprint of the shaoxing textile industry |
| topic | textile industry energy footprint decoupling logarithmic mean Divisia index Shaoxing |
| url | https://www.mdpi.com/1996-1073/13/7/1683 |
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