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Carbon dioxide, income and energy: Evidence from a non-linear model

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  • Chiu, Yi-Bin

Abstract

This study applies the panel smooth transition regression (PSTR) model to explore the impacts of real income, energy, and investment on the CO2-income nexus for 99 countries covering the period from 1971 to 2010. We find that in the full sample, as real income rises, CO2 emissions rapidly increase first, and then their increasing rate starts to slow down, while the environmental Kuznets curve (EKC) hypothesis for CO2 emissions is supported from the composite results of three income groups. Our results show that decreasing energy usage, improving energy efficiency, and enhancing clean energy usage could effectively ease the impacts of real income on CO2 emissions. Moreover, countries with different energy trade conditions and income levels have different CO2-income correlations, indicating that one size does not fit all.

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  • Chiu, Yi-Bin, 2017. "Carbon dioxide, income and energy: Evidence from a non-linear model," Energy Economics, Elsevier, vol. 61(C), pages 279-288.
    • Handle: RePEc:eee:eneeco:v:61:y:2017:i:c:p:279-288
    DOI: 10.1016/j.eneco.2016.11.022
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    More about this item

    Keywords

    Carbon dioxide emissions; Economic growth; Energy; Non-linearity;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

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