The relationship between energy consumption and industrial structure in Chinese provinces

Authors

  • Tatsiana G. Zoryna Institute of Power Engineering, National Academy of Sciences of Belarus, 15 Akademičnaja Street, 2 building, Minsk 220072, Belarus; Belarusian State University, 4 Niezaliežnasci Avenue, Minsk 220030, Belarus
  • Liu Xueyao Belarusian State University, 4 Niezaliežnasci Avenue, Minsk 220030, Belarus

Keywords:

energy consumption, industrial structure, energy consumption structure, grey relational analysis, structure rationalisation

Abstract

This paper analyses the situation of Chinese provinces in terms of energy consumption, industrial structure, and energy consumption structure. With the data of China and its various provinces, we apply grey relational analysis to study the relationship between energy consumption and industrial structure, and identify the magnitude of the impact of the different industries on energy consumption in each region. Corresponding optimisation measures are also proposed to each type of provinces.

Author Biographies

  • Tatsiana G. Zoryna, Institute of Power Engineering, National Academy of Sciences of Belarus, 15 Akademičnaja Street, 2 building, Minsk 220072, Belarus; Belarusian State University, 4 Niezaliežnasci Avenue, Minsk 220030, Belarus

    doctor of science (economics), full professor; head of the department of energy economy, Institute of Power Engineering, and professor at the department of economy security, faculty of economics, Belarusian State University

  • Liu Xueyao, Belarusian State University, 4 Niezaliežnasci Avenue, Minsk 220030, Belarus

    postgraduate student at the department of international management, faculty of economics

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Published

2022-11-08

Issue

Section

Q. Agricultural and Natural Resource Economics • Environmental and Ecological Ec

How to Cite

[1]
Zoryna, T.G. and Xueyao, L. 2022. The relationship between energy consumption and industrial structure in Chinese provinces. Journal of the Belarusian State University. Economics. 2 (Nov. 2022), 112–122.