Spatial correlation, driving factors and dynamic spatial spillover of electricity consumption in China: A perspective on industry heterogeneity

Xiaorui Liu, Wen Guo, Qiang Feng and Peng Wang

Energy, 2022, vol. 257, issue C

Abstract: In order to scientifically formulate electricity saving policies, it is necessary to study the industry heterogeneity and spatial correlation of electricity consumption. This paper used spatial autocorrelation test and dynamic spatial econometric model to identify the spatial correlation characteristics, main driving factors and spatial spillover effects of electricity consumption in different industries. The results are shown as follows. Firstly, except for agriculture, forestry, animal husbandry and fishery, electricity consumption of other industries has the spatial autocorrelation of economic distance, and electricity consumption of different industries has the significant time inertia effect, space contagion effect and space-time warning effect. Secondly, the total population, economic growth, urbanization, fixed asset investment and energy consumption structure can promote electricity consumption in this area. Thirdly, the total population, economic growth and urbanization of the region can restrain electricity consumption in the adjacent area. Finally, The driving factors and dynamic spatial spillover effects of electricity consumption are heterogeneous among different industries, and different factors have a more profound long-term impact on electricity consumption of different industries in China. Therefore, it is necessary to establish a regional coordination mechanism for electricity saving with industry differentiation and overall consideration, and formulate electricity saving policies for joint control.

Keywords: Electricity consumption; Spatial correlation; Driving factors; Dynamic spatial spillover; Industry heterogeneity (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:257:y:2022:i:c:s0360544222016590

DOI: 10.1016/j.energy.2022.124756

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