Analysis of the impact of government-enterprise behavior on electricity load characteristics in Chongqing region

Electricity, as a basic industry supporting economic development, will certainly be affected by the behavior of "government-enterprise", and electricity input is closely related to regional capital stock, economic growth, industrial structure and other factors. Therefore, based on the 2015-2022 panel data of 38 districts and counties in Chongqing Municipality, this paper empirically examines the causal relationship between various factors by using the panel vector autoregression (PVAR) model. The results of the study show that economic growth and capital stock positively promote electricity input in Chongqing Municipality, and industrial structure and labor force variables inhibit regional electricity consumption. In the future, the economic development of Chongqing should adhere to the goal of "stabilizing growth and adjusting structure", and through policy guidance and support for the development of the tertiary industry, the optimization of Chongqing's industrial structure, economic development, and energy saving and emission reduction can be achieved.

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Publication Details

Published
2025-01-16
DOI
https://doi.org/10.1117/12.3045053
Primary Topic
Smart Grid and Power Systems
Type
article
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Analysis of the impact of government-enterprise behavior on electricity load characteristics in Chongqing region

Fan Ye, Shiling Zhang, Xiaochen Bo, Xie Lu et al.
Smart Grid and Power Systems
article

Analysis of the impact of government-enterprise behavior on electricity load characteristics in Chongqing region

Fan Ye, Shiling Zhang, Xiaochen Bo, Xie Lu, Jungang Wu, Qiang Xiao, Qian Zhou, Wei Xiang, Haoyu Wang
article en

Abstract

Electricity, as a basic industry supporting economic development, will certainly be affected by the behavior of "government-enterprise", and electricity input is closely related to regional capital stock, economic growth, industrial structure and other factors. Therefore, based on the 2015-2022 panel data of 38 districts and counties in Chongqing Municipality, this paper empirically examines the causal relationship between various factors by using the panel vector autoregression (PVAR) model. The results of the study show that economic growth and capital stock positively promote electricity input in Chongqing Municipality, and industrial structure and labor force variables inhibit regional electricity consumption. In the future, the economic development of Chongqing should adhere to the goal of "stabilizing growth and adjusting structure", and through policy guidance and support for the development of the tertiary industry, the optimization of Chongqing's industrial structure, economic development, and energy saving and emission reduction can be achieved.

Sichuan International Studies University (CN)
Openalex Percentile: Top 99%
Smart Grid and Power Systems
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Analysis of the impact of government-enterprise behavior on electricity load characteristics in Chongqing region — Fan Ye, Shiling Zhang, et al. · (2025) | TGRS Research Map | TGRS