Decoupling and Decomposition Analysis of Residential Energy Consumption from Economic Growth during 2000–2017: A Comparative Study of Urban and Rural Guangdong, China
Residential energy consumption (REC) is now the second largest energy sector in China. However, decoupling analysis of REC has not received enough attention. Here, we explore the decoupling relationship between REC and economic growth in urban and rural Guangdong from 2000 to 2017. First, we use the...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-08-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/13/17/4461 |
| _version_ | 1797555171185655808 |
|---|---|
| author | Yong Yang Junsong Jia Adam T. Devlin Yangming Zhou Dongming Xie Min Ju |
| author_facet | Yong Yang Junsong Jia Adam T. Devlin Yangming Zhou Dongming Xie Min Ju |
| author_sort | Yong Yang |
| collection | DOAJ |
| description | Residential energy consumption (REC) is now the second largest energy sector in China. However, decoupling analysis of REC has not received enough attention. Here, we explore the decoupling relationship between REC and economic growth in urban and rural Guangdong from 2000 to 2017. First, we use the Tapio decoupling model to study the decoupling state. Then, key drivers affecting the decoupling were explored by combining the Tapio decoupling model with the Log-mean Divisa Index (LMDI) method. Finally, the decoupling efforts were evaluated by using the decoupling efforts model. The main results are as follows: (1) The decoupling state in urban regions was better than that in rural regions. Urban regions experienced weak decoupling (WD) in most years during 2000–2017, while expansive negative decoupling (END) mostly was seen in rural regions. (2) The per capita income effect was the most important driver inhibiting decoupling in Guangdong urban and rural regions. The energy intensity effect was the biggest driver promoting decoupling in urban Guangdong, followed by the family size effect. In contrast, the family size effect exerted the dominant influence on accelerating the decoupling in rural Guangdong. Overall, the household effect inhibited decoupling in urban regions, but promoted decoupling in rural regions. (3) The decoupling efforts results suggest that the energy efficiency improvement played a major role in the decoupling efforts of urban Guangdong, while the decrease of family size in rural Guangdong was the leading contributor to the decoupling efforts. |
| first_indexed | 2024-03-10T16:43:40Z |
| format | Article |
| id | doaj.art-362147b3dcd14bfd869f6cf6cfdc2f93 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T16:43:40Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-362147b3dcd14bfd869f6cf6cfdc2f932023-11-20T11:47:37ZengMDPI AGEnergies1996-10732020-08-011317446110.3390/en13174461Decoupling and Decomposition Analysis of Residential Energy Consumption from Economic Growth during 2000–2017: A Comparative Study of Urban and Rural Guangdong, ChinaYong Yang0Junsong Jia1Adam T. Devlin2Yangming Zhou3Dongming Xie4Min Ju5School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, ChinaSchool of Geography and Environment, Jiangxi Normal University, Nanchang 330022, ChinaSchool of Geography and Environment, Jiangxi Normal University, Nanchang 330022, ChinaSchool of Geography and Environment, Jiangxi Normal University, Nanchang 330022, ChinaTourism College, Jiangxi Science & Technology Normal University, Nanchang 330013, ChinaSchool of Geography and Environment, Jiangxi Normal University, Nanchang 330022, ChinaResidential energy consumption (REC) is now the second largest energy sector in China. However, decoupling analysis of REC has not received enough attention. Here, we explore the decoupling relationship between REC and economic growth in urban and rural Guangdong from 2000 to 2017. First, we use the Tapio decoupling model to study the decoupling state. Then, key drivers affecting the decoupling were explored by combining the Tapio decoupling model with the Log-mean Divisa Index (LMDI) method. Finally, the decoupling efforts were evaluated by using the decoupling efforts model. The main results are as follows: (1) The decoupling state in urban regions was better than that in rural regions. Urban regions experienced weak decoupling (WD) in most years during 2000–2017, while expansive negative decoupling (END) mostly was seen in rural regions. (2) The per capita income effect was the most important driver inhibiting decoupling in Guangdong urban and rural regions. The energy intensity effect was the biggest driver promoting decoupling in urban Guangdong, followed by the family size effect. In contrast, the family size effect exerted the dominant influence on accelerating the decoupling in rural Guangdong. Overall, the household effect inhibited decoupling in urban regions, but promoted decoupling in rural regions. (3) The decoupling efforts results suggest that the energy efficiency improvement played a major role in the decoupling efforts of urban Guangdong, while the decrease of family size in rural Guangdong was the leading contributor to the decoupling efforts.https://www.mdpi.com/1996-1073/13/17/4461residential energy consumptionTapio decoupling modelLMDIdecoupling efforturban and rural Guangdong |
| spellingShingle | Yong Yang Junsong Jia Adam T. Devlin Yangming Zhou Dongming Xie Min Ju Decoupling and Decomposition Analysis of Residential Energy Consumption from Economic Growth during 2000–2017: A Comparative Study of Urban and Rural Guangdong, China Energies residential energy consumption Tapio decoupling model LMDI decoupling effort urban and rural Guangdong |
| title | Decoupling and Decomposition Analysis of Residential Energy Consumption from Economic Growth during 2000–2017: A Comparative Study of Urban and Rural Guangdong, China |
| title_full | Decoupling and Decomposition Analysis of Residential Energy Consumption from Economic Growth during 2000–2017: A Comparative Study of Urban and Rural Guangdong, China |
| title_fullStr | Decoupling and Decomposition Analysis of Residential Energy Consumption from Economic Growth during 2000–2017: A Comparative Study of Urban and Rural Guangdong, China |
| title_full_unstemmed | Decoupling and Decomposition Analysis of Residential Energy Consumption from Economic Growth during 2000–2017: A Comparative Study of Urban and Rural Guangdong, China |
| title_short | Decoupling and Decomposition Analysis of Residential Energy Consumption from Economic Growth during 2000–2017: A Comparative Study of Urban and Rural Guangdong, China |
| title_sort | decoupling and decomposition analysis of residential energy consumption from economic growth during 2000 2017 a comparative study of urban and rural guangdong china |
| topic | residential energy consumption Tapio decoupling model LMDI decoupling effort urban and rural Guangdong |
| url | https://www.mdpi.com/1996-1073/13/17/4461 |
| work_keys_str_mv | AT yongyang decouplinganddecompositionanalysisofresidentialenergyconsumptionfromeconomicgrowthduring20002017acomparativestudyofurbanandruralguangdongchina AT junsongjia decouplinganddecompositionanalysisofresidentialenergyconsumptionfromeconomicgrowthduring20002017acomparativestudyofurbanandruralguangdongchina AT adamtdevlin decouplinganddecompositionanalysisofresidentialenergyconsumptionfromeconomicgrowthduring20002017acomparativestudyofurbanandruralguangdongchina AT yangmingzhou decouplinganddecompositionanalysisofresidentialenergyconsumptionfromeconomicgrowthduring20002017acomparativestudyofurbanandruralguangdongchina AT dongmingxie decouplinganddecompositionanalysisofresidentialenergyconsumptionfromeconomicgrowthduring20002017acomparativestudyofurbanandruralguangdongchina AT minju decouplinganddecompositionanalysisofresidentialenergyconsumptionfromeconomicgrowthduring20002017acomparativestudyofurbanandruralguangdongchina |