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Renewable and non-renewable energy policy simulations for abating emissions in a complex economy: Evidence from the novel dynamic ARDL

Author

Listed:
  • Adedoyin, Festus Fatai
  • Ozturk, Ilhan
  • Bekun, Festus Victor
  • Agboola, Phillips O.
  • Agboola, Mary Oluwatoyin

Abstract

According to the Economic Complexity Index, Japan was the number 1 most complex economy in the world. In addition to complexity, Japan pledges to reduce emissions by boosting cleaner energy sources. This study simulates two policies to highlight a path for Japan in achieving this ambitious energy and environmental target. The novel dynamic autoregressive distribution lag (ARDL) model and Kernel-based regularized least squares (KRLS) are adopted over panel data from 1970 to 2018. Empirical evidence from the ARDL and dynamic ARDL models shows that CO2 emissions have a significant long-term relationship with GDP per capita, renewable energy, and economic complexity index while air transport is significant in the short run. Putting it more elaborately, a unit increase in GDP per capita increase the emission by 0.84%–0.96% in the long run and 0.46%–0.48% in the short run. As regards renewable energy, a unit increase in it decrease the carbon emission by 0.07% and 0.04% in the long-run and short-run respectively. Also, an increase in the economic index diminished the emission by 0.81% in the long run. Moreover, economic complexity moderates the role of GDP in environmental degradation as it also has a significant impact on carbon emission.

Suggested Citation

  • Adedoyin, Festus Fatai & Ozturk, Ilhan & Bekun, Festus Victor & Agboola, Phillips O. & Agboola, Mary Oluwatoyin, 2021. "Renewable and non-renewable energy policy simulations for abating emissions in a complex economy: Evidence from the novel dynamic ARDL," Renewable Energy, Elsevier, vol. 177(C), pages 1408-1420.
    • Handle: RePEc:eee:renene:v:177:y:2021:i:c:p:1408-1420
    DOI: 10.1016/j.renene.2021.06.018
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