Study on Spatial-Temporal Disparities and Factors Influencing Electricity Consumption Carbon Emissions in China

Pinjie Xie (), Sheng Wang, Jie Liao and Feihu Sun
Additional contact information
Pinjie Xie: College of Economics and Management, Shanghai University of Electric Power, Shanghai 201306, China
Sheng Wang: College of Economics and Management, Shanghai University of Electric Power, Shanghai 201306, China
Jie Liao: State Grid Hunan Provincial Electric Power Co., Ltd., Zhuzhou Power Supply Company, Zhuzhou 412011, China
Feihu Sun: Research Institute of Carbon Neutrality, Shanghai Jiao Tong University, Shanghai 200030, China

Sustainability, 2024, vol. 16, issue 10, 1-20

Abstract: Investigating the factors influencing the spatial-temporal disparities in China’s electricity consumption carbon emissions (ECCEs) will be of great help to advancing the reduction in carbon emissions on the consumption side of electricity. Based on the measurement of the ECCEs in 30 Chinese provinces between 2005 and 2021, we utilized the natural breakpoint method and the Dagum Gini coefficient to analyze the spatial-temporal disparities in ECCEs at the provincial and regional levels, and then we used Geodetector to explore the factors influencing the spatial-temporal disparities in ECCEs. The results revealed the following: (1) There were obvious inter-provincial spatial disparities in ECCEs, with coastal provinces such as Jiangsu and Guangdong consistently ranking at the top of the country and inland provinces such as Qinghai and Yunnan having relatively low carbon emission values. (2) The overall disparities in China’s ECCEs fluctuated and rose, with inter-regional disparities being the primary source of the overall disparities. (3) Economic development, industrialization level, population density, and foreign direct investment all had strong explanations for the spatial-temporal disparities in China’s ECCEs. When all these influencing factors were spatially superimposed, their effects were enhanced.

Keywords: electricity consumption; carbon emissions; spatial-temporal disparities; Dagum Gini coefficient; Geodetector (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/16/10/4128/pdf (application/pdf)
https://www.mdpi.com/2071-1050/16/10/4128/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:16:y:2024:i:10:p:4128-:d:1394813

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().