Analyzing the difference evolution of provincial energy consumption in China using the functional data analysis method

You Wang and Xu Gong

Energy Economics, 2022, vol. 105, issue C

Abstract: This paper deeply studies the regional differences in China's energy consumption, which has important practical significance for formulating energy-saving targets. Based on the data of 30 provinces from 2000 to 2018, this paper uses the Theil index and functional data analysis method to explore the differential evolution of energy consumption. Empirical results indicate that the contribution rate of intra-group energy consumption differences to the overall differences exceeds 80%. In 2018, the Theil index values of energy consumption on population, economic development, and industrialization are 0.0726, 0.1197 and 0.1294, respectively. It means that energy consumption is most dependent on population factors. In regions, energy-saving targets should be subdivided in line with the actual characteristics. Ultimately, the positive impact of urbanization and industrialization on energy consumption is gradually weakened. In light of this, this paper suggests that it is necessary to consider the impact of population factors on energy-saving targets.

Keywords: Energy consumption; Theil index; Functional data analysis method; Regional differences (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:105:y:2022:i:c:s0140988321005983

DOI: 10.1016/j.eneco.2021.105753

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