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The estimation of influencing factors for carbon emissions based on EKC hypothesis and STIRPAT model: Evidence from top 10 countries

Author

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  • Ellen Thio

    (Nanjing University of Information Science and Technology)

  • MeiXuen Tan

    (Nanjing University of Information Science and Technology)

  • Liang Li

    (Nanjing University of Information Science and Technology
    Nanjing University of Information Science and Technology)

  • Muhammad Salman

    (Nanjing University of Aeronautics and Astronautics)

  • Xingle Long

    (Jiangsu University)

  • Huaping Sun

    (Jiangsu University)

  • Bangzhu Zhu

    (Nanjing University of Information Science and Technology)

Abstract

Global climate change due to greenhouse gas emissions has observable impacts on environment. Among the GHG emissions, carbon dioxide is the primary source of global climate change. In order to provide appropriate measures to control carbon emissions, it appears that there is an urgent need to address how such factors such as economic growth, exports, imports, and technology innovation affect carbon emissions in world’s top carbon emitter countries. We thus employed an extended Environmental Kuznets Curve, Population, Affluence and Technology (STIRPAT) model combined with panel quantile regression to analyze the driving factors of carbon emissions across top 10 countries from 2000 to 2014. We also conducted the panel quantile regression to ascertain the relationship between variables and examine the EKC. The results obtained show that firstly, the main results are that income per capita significantly increases environmental pollution across top 10 carbon emissions countries; this study also supported the EKC hypothesis in the top 10 countries in China, USA, India, Russia, Japan, Germany, South Korea, Canada, Mexico, and South Africain China, USA, India, Russia, Japan, Germany, South Korea, Canada, Mexico, and South Africa. Second, with the top 10 countries, the STIRPAT model is verified using the panel quantile regression approach, and population, energy use, exports, and imports of information communication technology are found to be the key impact factors of higher level of carbon emissions. However, technology innovation is conducive to the carbon emissions reduction. The results obtained show that the EKC hypothesis holds across top 10 carbon emissions countries. The governments of these countries should institute policies for promoting environmental technology innovation and energy efficiency in order to achieve sustainable development of population, resources, and the environment.

Suggested Citation

  • Ellen Thio & MeiXuen Tan & Liang Li & Muhammad Salman & Xingle Long & Huaping Sun & Bangzhu Zhu, 2022. "The estimation of influencing factors for carbon emissions based on EKC hypothesis and STIRPAT model: Evidence from top 10 countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(9), pages 11226-11259, September.
    • Handle: RePEc:spr:endesu:v:24:y:2022:i:9:d:10.1007_s10668-021-01905-z
    DOI: 10.1007/s10668-021-01905-z
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