Cheng, C., Ren, X., Wang, Z. and Shi, Y. (2018) The impacts of non-fossil energy, economic growth, energy consumption, and oil price on carbon intensity: evidence from a panel quantile regression analysis of EU 28. Sustainability, 10(11), 4067. (doi: 10.3390/su10114067)
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Abstract
This study investigates some determinants of carbon intensity in 28 countries in the European Union (EU), including non-fossil energy, economic growth, energy consumption, and oil price. A panel quantile regression method, which considers both individual heterogeneity and distributional heterogeneity, is applied in this paper. The empirical results imply that the influences of these determinants on carbon intensity are heterogeneous and asymmetric across different quantiles. Specifically, non-fossil energy can significantly decrease carbon intensity, but shows a U-shaped relationship. Economic growth has a negative impact on carbon intensity, especially for medium-emission and high-emission countries. The effects of heating degree days on carbon intensity are positive, although the coefficients are not significant at low quantiles, they become significant from medium quantiles. Besides, we find an inverse U-shaped relationship between crude oil price and carbon intensity. Finally, several relevant policy recommendations are proposed based on the empirical results.
Item Type: | Articles |
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Additional Information: | This work is supported by the Young Fund of Shanxi University of Finance and Economics (no. QN-2018002), National Natural Science Foundation of China (no. 71774105) and Shanxi Repatriate Study Abroad Foundation (no. 2016-3). |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Shi, Dr Yukun |
Authors: | Cheng, C., Ren, X., Wang, Z., and Shi, Y. |
College/School: | College of Social Sciences > Adam Smith Business School > Accounting and Finance |
Journal Name: | Sustainability |
Publisher: | MDPI |
ISSN: | 2071-1050 |
ISSN (Online): | 2071-1050 |
Published Online: | 06 November 2018 |
Copyright Holders: | Copyright © 2018 The Authors |
First Published: | First published in Sustainability 10(11): 4067 |
Publisher Policy: | Reproduced under a Creative Commons License |
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