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The Empirical Research of the Causality Relationship Between CO2 Emissions Intensity, Energy Consumption Structure, Energy Intensity and Industrial Structure in China

In: The 19th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • Tao Zhao

    (Tianjin University)

  • Xiao-song Ren

    (Tianjin University)

Abstract

This paper adopts econometrics methodology to explore the causality relationship among CO2 emissions intensity, energy consumption structure, energy intensity and industrial structure in China, during the time period 1980–2009. Multivariate cointegration and vecm model are applied to explore the long-term equilibrium and short-term fluctuation. Base on the granger causality test results, it concludes that there exist four group unidirectional causality relationships from CO2 emissions intensity to energy consumption structure, CO2 emissions intensity to industrial structure, industrial structure to energy consumption structure and energy intensity to energy consumption structure. In addition, a bidirectional causality relationship running from CO2 emissions intensity to energy intensity is detected.

Suggested Citation

  • Tao Zhao & Xiao-song Ren, 2013. "The Empirical Research of the Causality Relationship Between CO2 Emissions Intensity, Energy Consumption Structure, Energy Intensity and Industrial Structure in China," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), The 19th International Conference on Industrial Engineering and Engineering Management, edition 127, chapter 0, pages 601-609, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-38391-5_62
    DOI: 10.1007/978-3-642-38391-5_62
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    Cited by:

    1. Md Mazharul Islam & Majed Alharthi & Md Wahid Murad, 2021. "The effects of carbon emissions, rainfall, temperature, inflation, population, and unemployment on economic growth in Saudi Arabia: An ARDL investigation," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-21, April.

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