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Investigating the impact of national income on environmental pollution. International evidence

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  • Barra, Cristian
  • Zotti, Roberto

Abstract

This paper analyses how national income (per capita real GDP) influences the environmental pollution (per capita CO2 emissions) using a very heterogenous sample composed by 120 countries during the 2000-2009 period. We firstly apply a panel unit root test suggested by Im et al. (2003) in order to examine the stationarity properties of CO2 emissions and GDP and then a two-step Generalized Method of Moments (GMM) estimator, paying particular attention to the non-linearity of the national income-environmental pollution relationship, to investigate the existence of a Kuznets curve for CO2 emissions. Preliminary evidence showing the existence of an inverted U-shaped relationship between national income and environmental pollution, validating the Kutznes’s hypothesis, turned out to be measleading once the issue of (non) stationarity has been taken into account. Results also show that as population and industrial output expand, more pressure will be put forth the environment, leading to more emissions, calling for more strict environmental and energy conservation policies.

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  • Barra, Cristian & Zotti, Roberto, 2016. "Investigating the impact of national income on environmental pollution. International evidence," MPRA Paper 74149, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:74149
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    More about this item

    Keywords

    National income; Environmental pollution; U-shaped relationship; Kutznes’s hypothesis;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • F18 - International Economics - - Trade - - - Trade and Environment
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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