Affiliation:
1. School of Statistics, Jiangxi University of Finance and Economics, Nanchang, China
2. Research Center for Regional Development and Statistical Sciences, Jiangxi University of Finance and Economics, Nanchang, China
Abstract
Energy is becoming more and more important in the process of development. Through cluster analysis, 30 provinces chosen from the Chinese mainland are divided into high, medium, and low energy consumption regions, and the Theil index is used to analyze the characteristics of total energy consumption and other characteristics of regional differences. Based on this, an enhanced Panel-STIRPAT model is constructed. Through data and model inspection, panel models suitable for each region are selected for comprehensive analysis. The results show that: there are regional differences in energy consumption in China, and the total regional differences mainly come from within each region. The factors affecting energy consumption in different regions are the same, but due to differences in geographical environment and stress levels, the influence of these factors on energy consumption in different regions is different. Based on this, reasonable measurements to control energy consumption in different regions are presented.
Funder
the Humanities and Social Sciences Project for University of Jiangxi
Jiangxi Think Tank Research Project
the National Social Science Fund of China
Cited by
2 articles.
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