Empirical Analysis of Climate Policy Uncertainty and Energy Transition: A Provincial Index Approach
- DOI
- 10.2991/978-2-38476-507-2_2How to use a DOI?
- Keywords
- Climate policy uncertainty; Energy transition; Regional heterogeneity
- Abstract
This study employs an individual fixed-effect empirical model to empirically examine the effect of climate policy uncertainty on energy transition on the basis of provincial panel data from China from 2006 to 2020. The findings reveal that climate policy uncertainty hinders energy transition, with each unit increase leading to declining approximately 2.76% in the level of energy transition. Heterogeneity analysis indicates that this inhibitory effect is particularly pronounced in the central and western regions and the northern region, while it exerts no significant effect on the eastern and southern regions. Robustness tests also validate the reliability of the conclusions. Based on these findings, this paper proposes differentiated regional policies for global climate governance and green transformation in developing countries.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Xiaoqing Yan AU - Qiuli Zhao AU - Xue Ma AU - Fang Li AU - Bo Wang PY - 2025 DA - 2025/12/15 TI - Empirical Analysis of Climate Policy Uncertainty and Energy Transition: A Provincial Index Approach BT - Proceedings of the 2025 4th International Conference on Public Management, Digital Economy and Internet Technology (ICPDI 2025) PB - Atlantis Press SP - 4 EP - 12 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-507-2_2 DO - 10.2991/978-2-38476-507-2_2 ID - Yan2025 ER -