Decoupling and Decomposition Analysis of Residential Energy Consumption from Economic Growth during 2000–2017: A Comparative Study of Urban and Rural Guangdong, China

Yong Yang, Junsong Jia, Adam T. Devlin, Yangming Zhou, Dongming Xie and Min Ju
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Yong Yang: School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China
Junsong Jia: School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China
Adam T. Devlin: School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China
Yangming Zhou: School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China
Dongming Xie: Tourism College, Jiangxi Science & Technology Normal University, Nanchang 330013, China
Min Ju: School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China

Energies, 2020, vol. 13, issue 17, 1-21

Abstract: 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.

Keywords: residential energy consumption; Tapio decoupling model; LMDI; decoupling effort; urban and rural Guangdong (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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