74
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Does private financial development present a trade-off for CO2 emissions reduction in Oman? Evidence from Markov-switching model

ORCID Icon, ORCID Icon & ORCID Icon
Article: 2331831 | Published online: 27 Mar 2024
 

ABSTRACT

The expansion of the financial sector is often promoted to facilitate economic growth. Nevertheless, the potential implications of financial development on environmental indicators, specifically carbon dioxide (CO2) emissions, have become a subject of concern. This research investigates the impact of financial development on CO2 emissions in Oman, along with other control variables including energy consumption, trade openness, and economic growth, using a Markov switching model. The analysis is conducted for the period from 1989 to 2020 and focuses on two regimes of high and low carbon emissions. The results of the Markov switching model show that energy consumption, gross domestic product (GDP), and private financial development have a significant positive effect on CO2 emissions. Although the study confirms the Kuznets curve, Oman is still in its initial phase. Moreover, our results suggest a higher likelihood of remaining in the high CO2 emissions regime. This underscores the importance for policymakers to carefully weigh the trade-offs associated with fostering financial development, particularly within climate change mitigation endeavors. These findings are highly relevant for policymakers striving to balance economic growth with the reduction of carbon emissions in Oman.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.