2021
DOI: 10.1155/2021/6688800
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Direct Effect and Spillover Effect of ICT on Electricity Consumption in China: Evidence from a Spatial Panel Analysis

Abstract: The extensive use of information and communication technologies (ICT) has facilitated people’s lives and promoted the improvement of productivity. In the meantime, ICT has a profound effect on the efficiency of electricity utilization and the demand for electricity. The existing studies consider the direct effect of ICT on electricity consumption (EC) but neglect the spillover effect of ICT on EC and their action channels. Under the assumption of cross-section dependence, this paper introduces spatial modeling… Show more

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Cited by 2 publications
(1 citation statement)
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“…The literature [13] examined home smart meter data using clustering algorithms and utilized time series and wavelet methods to enhance the performance of clustering algorithms. In [14], the impact of information and communication technologies on electricity consumption is studied, and the spatial and mediating effects are used to analyze the efficiency of electricity utilization and electricity demand. The literature [15] analyzed the information transfer routes of electricity consumption data based on transfer entropy and minimum spanning tree model and found that the transfer entropy of electricity information in Guangdong Province was lower than that in other provinces in China.…”
Section: Introductionmentioning
confidence: 99%
“…The literature [13] examined home smart meter data using clustering algorithms and utilized time series and wavelet methods to enhance the performance of clustering algorithms. In [14], the impact of information and communication technologies on electricity consumption is studied, and the spatial and mediating effects are used to analyze the efficiency of electricity utilization and electricity demand. The literature [15] analyzed the information transfer routes of electricity consumption data based on transfer entropy and minimum spanning tree model and found that the transfer entropy of electricity information in Guangdong Province was lower than that in other provinces in China.…”
Section: Introductionmentioning
confidence: 99%