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Testing for Causality between Climate Policies and Carbon Emissions Reduction

Author

Listed:
  • Candelon, Bertrand

    (Université catholique de Louvain, LIDAM/LFIN, Belgium)

  • Hasse, Jean-Baptiste

    (Université catholique de Louvain, LIDAM/LFIN, Belgium)

Abstract

In this paper, we evaluate the causal effects of climate policies on carbon emissions reduction. Specifically, we investigate the properties of the Granger causality test in the frequency domain, assuming that the dependent variables include a binary variable and a continuous variable (resp. treatment and outcome variables). Monte Carlo simulations confirm that: (i) this test is valid under this assumption; and (ii) it has more power than its time-domain counterpart. Then, using Sweden as a case study, we evaluate the impact of the Kyoto Protocol, the Swedish carbon tax, and the European Union Emissions Trading System (EU ETS) on carbon emissions reduction over the period 1964–2021. Our empirical results indicate that only the carbon tax Granger causes carbon emissions reduction in the long run. Our methodological framework offers policymakers a useful toolbox for climate policy evaluation as well as new insights into the outcomes of international treaties and carbon pricing policies.

Suggested Citation

  • Candelon, Bertrand & Hasse, Jean-Baptiste, 2023. "Testing for Causality between Climate Policies and Carbon Emissions Reduction," LIDAM Reprints LFIN 2023007, Université catholique de Louvain, Louvain Finance (LFIN).
    • Handle: RePEc:ajf:louvlr:2023007
    Note: In: Finance Research Letters, 2023
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    Cited by:

    1. Jiaxiang Wang & Zehao Cao & Tian Chen & Chunguang Hu, 2025. "The Impact of Policy Quantification on Rural Spatial Development in Suburbs: A Case Study of Dalian’s Main Urban Area," Land, MDPI, vol. 14(1), pages 1-24, January.
    2. Cosimo Magazzino, 2024. "Ecological footprint, electricity consumption, and economic growth in China: geopolitical risk and natural resources governance," Empirical Economics, Springer, vol. 66(1), pages 1-25, January.
    3. Yin, Nan & Zhu, Yingming, 2024. "Investigating investor attention to carbon risk from a supply chain perspective," International Review of Financial Analysis, Elsevier, vol. 96(PA).

    More about this item

    Keywords

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    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • 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
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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