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Global impacts of the topological structure of industrial driving networks on energy intensity

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  • Zheng, Huiling
  • Zhou, Jinsheng
  • Gao, Xiangyun
  • Xi, Xian
  • Liu, Donghui
  • Zhao, Yiran

Abstract

As the industrial structure adjusts and driving effects change in different countries, the regional pattern of industrial driving effects is reshaped, and the new pattern is bound to lead to changes in energy consumption. Therefore, this paper uses multiregional input-output analysis, complex network theory, and panel quantile regression model to explore the impact of the topological structure of the global industrial driving network on energy intensity. The empirical results show that China’s ability to drive economic activity is becoming stronger, but its level of dependence is also increasing. The industrial dependence of Russia is also relatively high, but over time it has been gradually decreasing. Countries with high energy intensity should reduce their role in driving others and rely less on external resources. For countries with low energy intensity, they could conduct trade cooperation with more countries, but the driving effect strength with other countries cannot be too high. Understanding the relationship between industrial driving effects and energy intensity is of great significance for the government in the implementation of trade policies and industry policies, which have a large impact on energy intensity.

Suggested Citation

  • Zheng, Huiling & Zhou, Jinsheng & Gao, Xiangyun & Xi, Xian & Liu, Donghui & Zhao, Yiran, 2021. "Global impacts of the topological structure of industrial driving networks on energy intensity," Energy, Elsevier, vol. 225(C).
    • Handle: RePEc:eee:energy:v:225:y:2021:i:c:s0360544221004412
    DOI: 10.1016/j.energy.2021.120192
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    2. A. O. Baranov & A. V. Goreev, 2022. "Analysis of the Multiplier Effects Produced by Investment in a Dynamic Input–Output Model," Studies on Russian Economic Development, Springer, vol. 33(6), pages 687-696, December.

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