Investigation on carbon shadow prices based on data envelopment analysis: evidence from China
- DOI
- 10.2991/978-94-6463-260-6_41How to use a DOI?
- Keywords
- Carbon shadow price; Data envelopment analysis; Bootstrap-DEA method
- Abstract
The shadow price of undesirable outputs is a useful measurement to assess the performance of environmental regulations. This paper makes a non-parametric estimation of the carbon shadow price (CSP) in China at the regional level during 2007-2020. By applying the non-oriented slack-based measurement data envelopment analysis (SBM-DEA) model, as well as Bootstrap-DEA methods, this paper presents that there was a stable increasing trend of CSP since the establishment of pilot carbon emissions trading markets after 2011. This paper also reveals that the carbon emissions trading market in China is not yet fully efficient, and the operation modes of the carbon emissions trading market in China could be further improved. Policy implications are also needed for the improvement of the carbon emissions trading market.
- Copyright
- © 2024 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 - Yuanfeng Hu AU - Yixiang Tian PY - 2023 DA - 2023/09/28 TI - Investigation on carbon shadow prices based on data envelopment analysis: evidence from China BT - Proceedings of the 2023 International Conference on Management Innovation and Economy Development (MIED 2023) PB - Atlantis Press SP - 311 EP - 318 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-260-6_41 DO - 10.2991/978-94-6463-260-6_41 ID - Hu2023 ER -