TY - JOUR
T1 - The impact of geopolitical risk on CO2 emissions inequality: Evidence from 38 developed and developing economies
AU - Chen, Limei
AU - Gozgor, Giray
AU - Lau, Chi Keung Marco
AU - Mahalik, Mantu Kumar
AU - Rather, Kashif Nesar
AU - Soliman, Alaa M.
PY - 2024/1/10
Y1 - 2024/1/10
N2 - This paper analyses the impact of geopolitical risk on carbon dioxide (CO
2) emissions inequality in the panel dataset of 38 developed and developing economies from 1990 to 2019. At this juncture, the empirical models control for the effects of globalisation, capital-labour ratio, and per capita income on CO
2 emissions inequality. The panel cointegration tests show a significant long-run relationship among the related variables in the empirical models. The panel data regression estimations indicate that geopolitical risk, capital-labour ratio, and per capita income increase CO
2 emissions inequality. However, globalisation negatively affects CO
2 emissions inequality in the panel dataset of 38 developed and developing countries. The pairwise panel heterogeneous causality test results align with these benchmark results and indicate no reverse causality issue. Potential policy implications are also discussed.
AB - This paper analyses the impact of geopolitical risk on carbon dioxide (CO
2) emissions inequality in the panel dataset of 38 developed and developing economies from 1990 to 2019. At this juncture, the empirical models control for the effects of globalisation, capital-labour ratio, and per capita income on CO
2 emissions inequality. The panel cointegration tests show a significant long-run relationship among the related variables in the empirical models. The panel data regression estimations indicate that geopolitical risk, capital-labour ratio, and per capita income increase CO
2 emissions inequality. However, globalisation negatively affects CO
2 emissions inequality in the panel dataset of 38 developed and developing countries. The pairwise panel heterogeneous causality test results align with these benchmark results and indicate no reverse causality issue. Potential policy implications are also discussed.
UR - http://www.scopus.com/inward/record.url?scp=85176236998&partnerID=8YFLogxK
U2 - 10.1016/j.jenvman.2023.119345
DO - 10.1016/j.jenvman.2023.119345
M3 - Article
SN - 0301-4797
VL - 349
JO - Journal of Environmental Management
JF - Journal of Environmental Management
M1 - 119345
ER -