The Impact of Electricity Grid Development on Economic Growth and Energy Consumption in Anhui Province: A Seemingly Unrelated Regression-Based Analysis

Endogeneity is an important issue that needs to be addressed in research. By integrating infrastructure into the input–output system based on a profit function framework, this paper investigates the impact of electricity infrastructure on economic development and energy consumption. Using city-level data from Anhui Province spanning 2012 to 2022 and applying seemingly unrelated regression techniques for parameter estimation, this study finds that an increase in grid density leads to a reduction in energy consumption. While the short-term effect of increased grid density may cause a decline in output, a positive long-term effect on output is observed. This study concludes that the advantages of robust power infrastructure in lowering energy intensity manifest only over an extended time horizon. Based on our findings, we provide relevant recommendations that can be applied to other regions as well.

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Publication Details

Journal
Sustainability
Published
2025-04-03
DOI
https://doi.org/10.3390/su17073193
Citations
3
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
1.60

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article

The Impact of Electricity Grid Development on Economic Growth and Energy Consumption in Anhui Province: A Seemingly Unrelated Regression-Based Analysis

Yang Song, Xiang Gao, Rong Li, Kai Hou et al.
3 citations
Sustainability
Power Systems and Renewable Energy
1.60
article

The Impact of Electricity Grid Development on Economic Growth and Energy Consumption in Anhui Province: A Seemingly Unrelated Regression-Based Analysis

Yang Song, Xiang Gao, Rong Li, Kai Hou, Xiaomin Shi, Zhongliang Lu
article en
3 citations

Abstract

Endogeneity is an important issue that needs to be addressed in research. By integrating infrastructure into the input–output system based on a profit function framework, this paper investigates the impact of electricity infrastructure on economic development and energy consumption. Using city-level data from Anhui Province spanning 2012 to 2022 and applying seemingly unrelated regression techniques for parameter estimation, this study finds that an increase in grid density leads to a reduction in energy consumption. While the short-term effect of increased grid density may cause a decline in output, a positive long-term effect on output is observed. This study concludes that the advantages of robust power infrastructure in lowering energy intensity manifest only over an extended time horizon. Based on our findings, we provide relevant recommendations that can be applied to other regions as well.

SustainabilityVol. 17(7)
Hefei University of Technology (CN), State Grid Corporation of China (China) (CN)
Hefei University, Hefei University of Technology, Science and Technology Project of State Grid
Openalex Percentile: Top 16%
Power Systems and Renewable Energy
1.60
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