Investigation on carbon shadow prices based on data envelopment analysis: evidence from China

Yuanfeng Hu () and Yixiang Tian ()
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Yuanfeng Hu: University of Electronic Science and Technology of China, School of Management and Economics
Yixiang Tian: University of Electronic Science and Technology of China, School of Management and Economics

A chapter in Proceedings of the 2023 International Conference on Management Innovation and Economy Development (MIED 2023), 2024, pp 311-318 from Springer

Abstract: 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.

Keywords: Carbon shadow price; Data envelopment analysis; Bootstrap-DEA method (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-260-6_41

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DOI: 10.2991/978-94-6463-260-6_41

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