Energy Poverty in China: A Dynamic Analysis Based on a Hybrid Panel Data Decision Model
Renewable energy can help to tackle energy poverty issues of the availability of modern energy services and the sustainability of energy supply. Based on the concept of the Energy Development Index, published by International Energy Agency, this paper builds the clean energy development index and ap...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-11-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/10/12/1942 |
| _version_ | 1818013948781264896 |
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| author | Bing Wang Hua-Nan Li Xiao-Chen Yuan Zhen-Ming Sun |
| author_facet | Bing Wang Hua-Nan Li Xiao-Chen Yuan Zhen-Ming Sun |
| author_sort | Bing Wang |
| collection | DOAJ |
| description | Renewable energy can help to tackle energy poverty issues of the availability of modern energy services and the sustainability of energy supply. Based on the concept of the Energy Development Index, published by International Energy Agency, this paper builds the clean energy development index and applies the Grey incidence decision method to analyze regional energy poverty issues in China. A model using panel data investigates the influencing factors that are governing energy poverty alleviation and the relationship between energy poverty and social development. The improved index system not only considers the access to modern energy services, but also addresses the cleanliness of energy supply and the transition to clean energy consumption for cooking. The results indicate that due to insufficient clean energy development, China’s Northeast and West regions have experienced increasing energy poverty problems, while energy poverty in the Southwest region has improved considerably because of its renewable energy development. Urbanization, affordability, and renewable energy development can increase access to modern energy services, contributing to energy poverty alleviation. However, the role of rural household consumption levels in energy poverty alleviation should be considered in rural energy policy. |
| first_indexed | 2024-04-14T06:39:35Z |
| format | Article |
| id | doaj.art-dcddd6b7481d4f82b674f5c6cac6d207 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-14T06:39:35Z |
| publishDate | 2017-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-dcddd6b7481d4f82b674f5c6cac6d2072022-12-22T02:07:22ZengMDPI AGEnergies1996-10732017-11-011012194210.3390/en10121942en10121942Energy Poverty in China: A Dynamic Analysis Based on a Hybrid Panel Data Decision ModelBing Wang0Hua-Nan Li1Xiao-Chen Yuan2Zhen-Ming Sun3College of Resources and Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, ChinaCenter for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, ChinaCenter for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, ChinaCollege of Resources and Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, ChinaRenewable energy can help to tackle energy poverty issues of the availability of modern energy services and the sustainability of energy supply. Based on the concept of the Energy Development Index, published by International Energy Agency, this paper builds the clean energy development index and applies the Grey incidence decision method to analyze regional energy poverty issues in China. A model using panel data investigates the influencing factors that are governing energy poverty alleviation and the relationship between energy poverty and social development. The improved index system not only considers the access to modern energy services, but also addresses the cleanliness of energy supply and the transition to clean energy consumption for cooking. The results indicate that due to insufficient clean energy development, China’s Northeast and West regions have experienced increasing energy poverty problems, while energy poverty in the Southwest region has improved considerably because of its renewable energy development. Urbanization, affordability, and renewable energy development can increase access to modern energy services, contributing to energy poverty alleviation. However, the role of rural household consumption levels in energy poverty alleviation should be considered in rural energy policy.https://www.mdpi.com/1996-1073/10/12/1942energy povertyrenewable energyenergy developmentelectricity accessmodern energy services |
| spellingShingle | Bing Wang Hua-Nan Li Xiao-Chen Yuan Zhen-Ming Sun Energy Poverty in China: A Dynamic Analysis Based on a Hybrid Panel Data Decision Model Energies energy poverty renewable energy energy development electricity access modern energy services |
| title | Energy Poverty in China: A Dynamic Analysis Based on a Hybrid Panel Data Decision Model |
| title_full | Energy Poverty in China: A Dynamic Analysis Based on a Hybrid Panel Data Decision Model |
| title_fullStr | Energy Poverty in China: A Dynamic Analysis Based on a Hybrid Panel Data Decision Model |
| title_full_unstemmed | Energy Poverty in China: A Dynamic Analysis Based on a Hybrid Panel Data Decision Model |
| title_short | Energy Poverty in China: A Dynamic Analysis Based on a Hybrid Panel Data Decision Model |
| title_sort | energy poverty in china a dynamic analysis based on a hybrid panel data decision model |
| topic | energy poverty renewable energy energy development electricity access modern energy services |
| url | https://www.mdpi.com/1996-1073/10/12/1942 |
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