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Identifying Strategic Traders in China's Pilot Carbon Emissions Trading Scheme

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  • Lei Zhu, Xu Wang, and Dayong Zhang

Abstract

This paper uses a sample of 1,867 firms that participate in the "Top-10,000 Energy-Consuming Enterprises Program" in China and aims to identify strategic traders in its pilot emissions trading scheme. Firms included in the ETS can exert their market power and manipulate allowance prices to achieve low compliance costs, which will consequently influence the effectiveness of this platform. This is of great importance to regulators or designers of this system in identifying these strategic traders and understanding their impact. We follow the basic principle proposed by Godal (2005) and develop a simple and implementable empirical procedure to study firm-level data from seven pilot programs in China. The results show that strategic traders exist with clear regional and sectoral differences. As a consequence of strategic trading by these firms, the overall volume of trading falls remarkably, with a clear increase in total compliance costs.

Suggested Citation

  • Lei Zhu, Xu Wang, and Dayong Zhang, 2020. "Identifying Strategic Traders in China's Pilot Carbon Emissions Trading Scheme," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 123-142.
    • Handle: RePEc:aen:journl:ej41-2-zhang
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    Cited by:

    1. Wang, Xu & Wen, Ziyu & He, Lingyun & Zheng, Haoyang & Yang, Tengfei & Long, Ruyin, 2024. "The role of imperfect market structure in the employment effect of emissions trading scheme in China: A theoretical extension and empirical investigation," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 920-937.
    2. Wang, Ge & Zhang, Qi & Su, Bin & Shen, Bo & Li, Yan & Li, Zhengjun, 2021. "Coordination of tradable carbon emission permits market and renewable electricity certificates market in China," Energy Economics, Elsevier, vol. 93(C).
    3. Yufeng Chen & Zhitao Zhu, 2022. "Liability Structure and Carbon Emissions Abatement: Evidence from Chinese Manufacturing Enterprises," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 83(2), pages 481-507, October.
    4. Yu Zhang & Jie Wang & Jiakai Chen & Weizhong Liu, 2023. "Does environmental regulation policy help improve business performance of manufacturing enterprises? evidence from China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(5), pages 4335-4364, May.
    5. Song, Malin & Zheng, Huanyu & Shen, Zhiyang & Chen, Boyang, 2023. "How financial technology affects energy transformation in China," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    6. Ru Li & Sigit Perdana & Marc Vielle, 2021. "Potential integration of Chinese and European emissions trading market: welfare distribution analysis," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 26(5), pages 1-28, June.
    7. Xiaosheng Li & Yunxia Shu & Xin Jin, 2022. "Environmental regulation, carbon emissions and green total factor productivity: a case study of China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2577-2597, February.
    8. Zhang, Yaoyu & Wu, Chenye & Gu, Nan & Yu, Yang, 2022. "The robustness of low-carbon policies during China’s electricity reform," Energy Economics, Elsevier, vol. 111(C).
    9. Yang, Mian & Yuan, Yining & Sun, Chuanwang, 2021. "The economic impacts of China's differential electricity pricing policy: Evidence from energy-intensive firms in Hunan Province," Energy Economics, Elsevier, vol. 94(C).
    10. Xin Zheng & Shenya Mao & Siqi Lv & Sheng Wang, 2022. "An Optimization Study of Provincial Carbon Emission Allowance Allocation in China Based on an Improved Dynamic Zero-Sum-Gains Slacks-Based-Measure Model," Sustainability, MDPI, vol. 14(12), pages 1-22, June.
    11. Lin, Boqiang & Xu, Bin, 2021. "A non-parametric analysis of the driving factors of China's carbon prices," Energy Economics, Elsevier, vol. 104(C).
    12. Zhu, Rongqi & Wei, Yigang & Tan, Longyan, 2024. "Low-carbon technology adoption and diffusion with heterogeneity in the emissions trading scheme," Applied Energy, Elsevier, vol. 369(C).

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    JEL classification:

    • F0 - International Economics - - General

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