Can top-pollutant economies shift some burden through insurance sector development for sustainable development?
Xiaolong Li,
Ilhan Ozturk,
Sana Ullah,
Zubaria Andlib and
Muhammad Hafeez
Economic Analysis and Policy, 2022, vol. 74, issue C, 326-336
Abstract:
Economists have long documented the significance of insurance markets in the development process. This study considers the nonlinear impact of insurance sector development on CO2 emissions for five high-polluting economies over data ranging from 1990 to 2019. The present study employs a panel and time series NARDL framework. We find that insurance sector development has asymmetric effects on CO2 emissions. It is inferred from the findings that a positive shock in insurance sector development increases CO2 and a negative shock in insurance sector development decreases CO2 in the long run in high-polluting economies. Regarding country-wise analysis, we also observe that a positive shock in insurance sector development increases CO2 in the USA, Russia and Japan, but a negative insurance sector development shock decreases CO2 in the USA and India in the long run The results recommend some important policy implications.
Keywords: Insurance development; CO2 emissions; NARDL; High-polluting economies (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S031359262200025X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecanpo:v:74:y:2022:i:c:p:326-336
DOI: 10.1016/j.eap.2022.02.006
Access Statistics for this article
Economic Analysis and Policy is currently edited by Clevo Wilson
More articles in Economic Analysis and Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().