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Time-varying interactions between geopolitical risks and renewable energy consumption

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  • Cai, Yifei
  • Wu, Yanrui

Abstract

This study utilizes a time-varying parameter Bayesian vector autoregressive model to investigate the dynamic interactions between geopolitical risk (GPR) and renewable energy consumption growth (RECG). The identification strategy is flexible to accommodate cases both with and without restrictions of the direction of impact. It is shown that GPR shocks have positive impacts on RECG over time. In contrast, RECG shocks decrease GPR in the whole sample period. These results show that renewable energy is a useful tool to reduce geopolitical risks. Meanwhile, the increasing geopolitical risks tend to augment renewable energy consumption. We also provide the responses at different time horizons and during particular geopolitical events. The estimating results are robust when industrial production growth is used as a control variable. Lastly, several implications for economic policy making are discussed.

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  • Cai, Yifei & Wu, Yanrui, 2021. "Time-varying interactions between geopolitical risks and renewable energy consumption," International Review of Economics & Finance, Elsevier, vol. 74(C), pages 116-137.
    • Handle: RePEc:eee:reveco:v:74:y:2021:i:c:p:116-137
    DOI: 10.1016/j.iref.2021.02.006
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    More about this item

    Keywords

    Renewable energy consumption; Geopolitical risk; Time-varying parameter VAR model; Robustness checks;
    All these keywords.

    JEL classification:

    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General

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