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16 January 2025 Analysis of the impact of government-enterprise behavior on electricity load characteristics in Chongqing region
Wei Xiang, Haoyu Wang, Qian Zhou, Qiang Xiao, Shiling Zhang, Fan Ye, Jungang Wu, Lu Xie, Xinran Bo
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Proceedings Volume 13447, International Conference on Mechatronics and Intelligent Control (ICMIC 2024); 134473G (2025) https://doi.org/10.1117/12.3045053
Event: International Conference on Mechatronics and Intelligent Control (ICMIC 2024), 2024, Wuhan, China
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.
(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Wei Xiang, Haoyu Wang, Qian Zhou, Qiang Xiao, Shiling Zhang, Fan Ye, Jungang Wu, Lu Xie, and Xinran Bo "Analysis of the impact of government-enterprise behavior on electricity load characteristics in Chongqing region", Proc. SPIE 13447, International Conference on Mechatronics and Intelligent Control (ICMIC 2024), 134473G (16 January 2025); https://doi.org/10.1117/12.3045053
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KEYWORDS
Power consumption
Data modeling
Industry
Reflection
Analytical research
Autoregressive models
Statistical modeling
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