Introducing a new measure of energy transition: Green quality of energy mix and its impact on CO2 emissions

Chi Keung Lau; Giray Gozgor; Mantu Kumar Mahalik; Gupteswar Patel; Jing Li

doi:10.1016/j.eneco.2023.106702

Introducing a new measure of energy transition: Green quality of energy mix and its impact on CO₂ emissions

Chi Keung Lau, Giray Gozgor, Mantu Kumar Mahalik, Gupteswar Patel, Jing Li

Research output: Contribution to journal › Article › peer-review

Abstract

This paper introduces a novel measure of the energy transition, i.e., the green quality of energy mix (GREENQ) across the Organisation for Economic Co-operation and Development (OECD) countries. Then, the paper examines the impact of the GREENQ on CO₂ emissions in the panel dataset of 36 OECD countries from 1970 to 2021. The explanatory variables include per capita income, institutional quality and technology. Long-run panel data estimations indicate that per capita income, institutional quality and technology increase CO₂ emissions. The novel evidence is that the GREENQ is negatively related to the level of CO₂ emissions. These findings are robust to employ different panel data estimation techniques. Potential policy implications are also discussed.

Original language	English
Article number	106702
Journal	Energy Economics
Volume	122
DOIs	https://doi.org/10.1016/j.eneco.2023.106702
Publication status	Published - 1 Jun 2023
Externally published	Yes

Bibliographical note

Funding Information:
The first author acknowledged that the project was funded by the “ Foreign Cultural and Educational Experts Project of the Ministry of Science and Technology of China ” (Project Number: DL2022180001L ).

Publisher Copyright:
© 2023

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abstract = "This paper introduces a novel measure of the energy transition, i.e., the green quality of energy mix (GREENQ) across the Organisation for Economic Co-operation and Development (OECD) countries. Then, the paper examines the impact of the GREENQ on CO2 emissions in the panel dataset of 36 OECD countries from 1970 to 2021. The explanatory variables include per capita income, institutional quality and technology. Long-run panel data estimations indicate that per capita income, institutional quality and technology increase CO2 emissions. The novel evidence is that the GREENQ is negatively related to the level of CO2 emissions. These findings are robust to employ different panel data estimation techniques. Potential policy implications are also discussed.",

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AU - Gozgor, Giray

AU - Mahalik, Mantu Kumar

AU - Patel, Gupteswar

AU - Li, Jing

N1 - Funding Information: The first author acknowledged that the project was funded by the “ Foreign Cultural and Educational Experts Project of the Ministry of Science and Technology of China ” (Project Number: DL2022180001L ). Publisher Copyright: © 2023

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Introducing a new measure of energy transition: Green quality of energy mix and its impact on CO₂ emissions

Abstract

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