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Growing the Global Economy through Climate Change Mitigation: A Causal Mediation Analysis of Environmental Taxes and Green Incentive

Author

Listed:
  • Tony Azaanamaal
  • William Coffie
  • Samuel Fosu

Abstract

The purpose of this study is twofold. First, given the lack of convergence of empirical studies on the direction and impact of climate change on economic growth, this study seeks to present much robust coefficients of climate change impact on economic growth. Second, the study seeks to confirm the double dividend hypothesis that the introduction of environmental taxes in an economy induces growth, and further examine how environmental tax as environmental regulatory policy can be strengthened for effective mitigation. This study regresses a large panel of 104 countries consisting of a total population of countries that have successfully implemented environmental tax over a 26-year period between 1994–2019. The results show that increase in climate change reduces economic growth on all models, with significant adverse effect in the long-run, and across higher distributions of growth. For a change in temperature by one degree Celsius will result in an adverse change in economic growth by 0.463% and 0.424% at 5% significance level using Fixed Effect and Random Effect model respectively, while that of Diff GMM and Sys GMM show that for a unit change in surface temperature, economic growth will decline by 0.996% and 1.08% respectively at 1% significance level. Both environmental taxes and green incentives have significant contingent effects on climate change, with green incentive having a greater effect. Results of the Causal Mediation Analysis (CMA) reveal that the implementation of strong environmental regulatory framework reduces climate change by 0.425% at 1% significance level. In addition, previous studies that examined the implementation of environmental tax and its impact on economic growth have either revealed an adverse effect or a positive effect. This study goes further to estimate the activity levels that yield either effect, thereby providing a bridge between the proponents and opponents of the tax interactive effect of the double dividend hypothesis. This finding is an opportunity for re-examination of the double dividend of environmental taxes in the context of activity level. It further provides clear guidance to policymakers on how to achieve double dividend with the implementation of environmental tax.

Suggested Citation

  • Tony Azaanamaal & William Coffie & Samuel Fosu, 2025. "Growing the Global Economy through Climate Change Mitigation: A Causal Mediation Analysis of Environmental Taxes and Green Incentive," Journal of Tax Reform, Graduate School of Economics and Management, Ural Federal University, vol. 11(1), pages 121-148.
  • Handle: RePEc:aiy:jnljtr:v:11:y:2025:i:1:p:121-148
    DOI: https://doi.org/10.15826/jtr.2025.11.1.195
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    More about this item

    Keywords

    climate change; environmental taxes; green incentive; economic growth; econometric analysis;
    All these keywords.

    JEL classification:

    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression 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
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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