Spatial spillover effects of carbon trading pilot policies on regional energy consumption structure optimization
DOI:
https://doi.org/10.54097/n9p7av45Keywords:
Carbon trading pilot policy, Energy consumption structure optimization, Spatial spillover effectAbstract
Using panel data covering 30 provinces and cities in China between 2009 and 2019, this study provides an in-depth analysis of the spatial spillover effects of carbon trading pilot regions in promoting the optimization of energy consumption structure. Through the test of the spatial econometric model, it is found that the carbon trading pilot policy exhibits obvious spatial positive autocorrelation, which positively promotes the optimization of the energy consumption structure of the neighboring non-pilot regions. This positive impact also has a time lag characteristic, i.e., its effect on the optimization of the energy consumption structure of the neighboring regions gradually appears in the two years after the implementation of the policy. From a geographical perspective, the central region is the only region that shows a significant positive spillover effect.
Downloads
References
[1] Yanyan Zhang and Xiangqin Xu, Spatial Agglomeration analysis of carbon emission trading J Machinery Manufacturing. 2011. 49(03): p. 74-77.
[2] Ling Xue, et al., The impact of carbon market integration on the spatial distribution of heterogeneous firms J Population, Resources and Environment in China. 2018. 28(08): p. 1-11.
[3] Chunmiao Mao and Yingliang Huang, Carbon trading policies and high-quality development in manufacturing: spatial spillovers J Energy and the Environment. 2023(05): p. 68-72.
[4] Yu, D.-J. and J. Li, Evaluating the employment effect of China’s carbon emission trading policy: Based on the perspective of spatial spillover. Journal of Cleaner Production, 2021. 292: p. 126052.
[5] Zhang, M., et al., Impacts of carbon emission trading schemes on the development of renewable energy in China: Spatial spillover and mediation paths. Sustainable Production and Consumption, 2022. 32: p. 306-317.
[6] Zhiguo Li and Jie Wang, Spatial Emission Reduction effects of carbon emission Trading in China: quasi-natural experiments and policy spillovers J Population, Resources and Environment in China. 2021. 31(01): p. 26-36.
[7] Li Guo and Xinli Liang, The Impact of carbon emission trading policies on carbon emission efficiency: Analysis of J price theory and practice based on spatial multi-period differential model. 2023(09): p. 146-150+209.
[8] Jianping Yang and Juan Yang, Carbon Reduction and spatial spillover effects of low-carbon pilot policies. 2023(01): p. 147-154.
[9] Zhenni Wu, Yingkai Yin, and Ming Jin, Research on Interregional Implied Carbon Emission Transfer Responsibility under the spillover effect of China's Carbon Trading Pilot Policy J Statistics and Information Forum. 2024. 39(07): p. 82-96.
[10] Yue Bi, Carbon Emission trading System and Energy use efficiency and their spatial spillover effects. 2023.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
