The impacts of R&D investment and stock markets on clean energy uses and CO2 emissions in a panel of OECD economies
Name:
Apergis_Paramati_R&D investments, ...
Embargo:
2022-09-14
Size:
87.73Kb
Format:
Microsoft Word 2007
Description:
Accepted Manuscript
Affiliation
University of DerbyDe Montfort University
University of Dundee
Zhejiang University of Technology
Issue Date
2020-09-14
Metadata
Show full item recordAbstract
The goal of this paper is to examine to what extent R&D investment and stock market development promote clean energy consumption and environmental protection across a panel of 30 OECD economies. Based on the IPAT theoretical approach, study employs robust panel econometric models which account for cross-sectional dependence in the analysis and uses annual data, spanning the period 1996 to 2013. The empirical results illustrate that R&D and stock market have a significant long-run equilibrium relationship with clean energy and CO2 emissions. The long-run elasticities display that R&D and stock market growth have a significant positive impact on clean energy consumption, while they have a negative effect on the growth of CO2 emissions. Given these findings, the paper suggests that the policy makers in the OECD economies should realize that it is worth investing in R&D activities as it is promoting the use of clean energy and ensuring low carbon economies. Therefore, the policymakers have to initiate effective policies to promote R&D activities and also encourage the firms that are listed in the stock market to adopt environmental friendly policies.Citation
Apergis, N., Alam, Md. Samsul, Paramati, S., R., and Fang, J. (2020). ‘The impacts of R&D investment and stock markets on clean energy uses and CO2 emissions in a panel of OECD economies'. International Journal of Finance and Economics, pp. 1-36.Publisher
WileyJournal
International Journal of Finance and EconomicsDOI
10.1002/ijfe.2049Additional Links
https://onlinelibrary.wiley.com/doi/epdf/10.1002/ijfe.2049Type
ArticleLanguage
enISSN
1076-9307EISSN
1099-1158ae974a485f413a2113503eed53cd6c53
10.1002/ijfe.2049
Scopus Count
Collections
The following license files are associated with this item:
- Creative Commons
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International