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Different quantile regression models for quantifying the dependence between environmental quality and economic growth

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  • Corina Saman

Abstract

The purpose of this paper is to use different quantile models to quantify the effect of economic growth on environmental quality measured by GHG emissions. For this purpose, panel quantile regression models were used. This study used data from World Bank for 28 developing countries for the 2003-2019 period. The results shows that the effect of GDP growth on GHG emissions is a positive effect for all quantiles and is significantly lower for the lower quantiles (

Suggested Citation

  • Corina Saman, 2023. "Different quantile regression models for quantifying the dependence between environmental quality and economic growth," Working Papers of Institute for Economic Forecasting 231001, Institute for Economic Forecasting.
    • Handle: RePEc:rjr:wpiecf:231001
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    More about this item

    Keywords

    GHG emissions; Economic Growth; Energy consumption; Financial development index; Panel quantile models;
    All these keywords.

    JEL classification:

    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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