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The Correlation Between CO2 Emissions and GDP in a Sustainable Development Framework Using Kuznets Environment Curve

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  • Cosma Ioana Gabriela

    (Romanian Academy, National Institute for Economic Research “Costin C. Kiriţescu” INCE)

  • David Katalin Gabriela

    (“Vasile Goldiș” Western University of Arad)

  • Antonescu Daniela

    (Romania Academy, National Institute for Economic Research “Costin C. Kiriţescu” INCE)

  • Dumiter Florin Cornel

    (“Vasile Goldiș” Western University of Arad)

  • Jimon Ștefania Amalia

    (“Vasile Goldiș” Western University of Arad)

Abstract

After 1990, the problem of finding econometric models to assess the influence of economic development on the environment becomes a global goal, a central element of regional, national and Community policies. A perception on the evolution of global climate change and on the impact of human activity on them has been determined by the hypothesis that in the early stages of economic development, pollution and incomes are growing almost simultaneously, and beyond a certain level of incomes, the trend is reversing, therefore at high levels of incomes and economic growth occur improvements in environmental conditions. In this paper, we aim to analyze the relationship between the level of pollution (CO2 emissions) and revenues (GDP per capita) using the Kuznets Environmental Curve (EKC). To apply the econometric model, two indicators were used: CO2 emissions and GDP per capita, using a panel analysis for the period 2000 - 2016, which included 31 European countries and 527 observations. The article contributes to the development of econometric applications based on panel data and the Kuznets Environmental Curve.

Suggested Citation

  • Cosma Ioana Gabriela & David Katalin Gabriela & Antonescu Daniela & Dumiter Florin Cornel & Jimon Ștefania Amalia, 2020. "The Correlation Between CO2 Emissions and GDP in a Sustainable Development Framework Using Kuznets Environment Curve," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 30(4), pages 1-23, December.
  • Handle: RePEc:vrs:suvges:v:30:y:2020:i:4:p:1-23:n:1
    DOI: 10.2478/sues-2020-0022
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    Cited by:

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    2. Sergio Luis Náñez Alonso & Javier Jorge-Vázquez & Miguel Ángel Echarte Fernández & Ricardo Francisco Reier Forradellas, 2021. "Cryptocurrency Mining from an Economic and Environmental Perspective. Analysis of the Most and Least Sustainable Countries," Energies, MDPI, vol. 14(14), pages 1-22, July.

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    More about this item

    Keywords

    Kuznets Environmental Curve; sustainable development; econometric analysis;
    All these keywords.

    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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