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Unified efficiency under market-based climate policy: A regression control analysis of China’s carbon trading scheme in the metallurgical sector

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  • Chen, Xing
  • Hou, Yu
  • He, Jiaxin
  • Shang, Hua

Abstract

The Carbon Emission Trading Scheme (CETS) is a key market-based policy for accelerating emission reductions and mitigating climate change. This study evaluates the effectiveness of CETS by introducing the Unified Efficiency Index (UEI)—a comprehensive efficiency index constructed by global DEA. Unlike prior research that focuses on singular outcomes like emission reductions or energy efficiency. Then, we employ the regression control method (RCM) to construct counterfactual scenarios. This approach can quantify the causal impact of CETS on UEI within China’s metallurgical sector, a critical high-emission industry. Empirical results show that CETS significantly enhances overall UEI efficiency, with heterogeneous effects across pilot regions. Provinces such as Fujian, Hubei, and Chongqing exhibit notable UEI improvements, with Chongqing’s annual treatment effect reaching 0.154. However, Shanghai remains unaffected, while Hubei shows policy effectiveness after a one-year lag. The policy’s efficacy diminishes over time, likely due to prolonged implementation cycles and diminishing marginal returns. Several robustness checks, including placebo tests and variable substitution, confirm the reliability of main findings. These outcomes advance the discourse on market-based environmental governance and align with global sustainability agendas, particularly SDGs 12 (Responsible Consumption) and 13 (Climate Action).

Suggested Citation

  • Chen, Xing & Hou, Yu & He, Jiaxin & Shang, Hua, 2025. "Unified efficiency under market-based climate policy: A regression control analysis of China’s carbon trading scheme in the metallurgical sector," Energy, Elsevier, vol. 340(C).
    • Handle: RePEc:eee:energy:v:340:y:2025:i:c:s0360544225050418
    DOI: 10.1016/j.energy.2025.139399
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    as
    1. Zhou, Yan & Xing, Xinpeng & Fang, Kuangnan & Liang, Dapeng & Xu, Chunlin, 2013. "Environmental efficiency analysis of power industry in China based on an entropy SBM model," Energy Policy, Elsevier, vol. 57(C), pages 68-75.
    2. Chen, Zhe & Song, Pei & Wang, Baolu, 2021. "Carbon emissions trading scheme, energy efficiency and rebound effect – Evidence from China's provincial data," Energy Policy, Elsevier, vol. 157(C).
    3. Zhang, Yue-Jun & Peng, Yu-Lu & Ma, Chao-Qun & Shen, Bo, 2017. "Can environmental innovation facilitate carbon emissions reduction? Evidence from China," Energy Policy, Elsevier, vol. 100(C), pages 18-28.
    4. Choi, Yongrok & Liu, Yu & Lee, Hyoungseok, 2017. "The economy impacts of Korean ETS with an emphasis on sectoral coverage based on a CGE approach," Energy Policy, Elsevier, vol. 109(C), pages 835-844.
    5. Meng, Sam & Siriwardana, Mahinda & McNeill, Judith & Nelson, Tim, 2018. "The impact of an ETS on the Australian energy sector: An integrated CGE and electricity modelling approach," Energy Economics, Elsevier, vol. 69(C), pages 213-224.
    6. Chen, Xing & Lin, Boqiang, 2021. "Towards carbon neutrality by implementing carbon emissions trading scheme: Policy evaluation in China," Energy Policy, Elsevier, vol. 157(C).
    7. Wang, Peng & Dai, Han-cheng & Ren, Song-yan & Zhao, Dai-qing & Masui, Toshihiko, 2015. "Achieving Copenhagen target through carbon emission trading: Economic impacts assessment in Guangdong Province of China," Energy, Elsevier, vol. 79(C), pages 212-227.
    8. Albrizio, Silvia & Kozluk, Tomasz & Zipperer, Vera, 2017. "Environmental policies and productivity growth: Evidence across industries and firms," Journal of Environmental Economics and Management, Elsevier, vol. 81(C), pages 209-226.
    9. Mo, Jian-Lei & Agnolucci, Paolo & Jiang, Mao-Rong & Fan, Ying, 2016. "The impact of Chinese carbon emission trading scheme (ETS) on low carbon energy (LCE) investment," Energy Policy, Elsevier, vol. 89(C), pages 271-283.
    10. Lin, Boqiang & Du, Kerui, 2015. "Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter?," Energy Policy, Elsevier, vol. 78(C), pages 113-124.
    11. Tomás, R.A.F. & Ramôa Ribeiro, F. & Santos, V.M.S. & Gomes, J.F.P. & Bordado, J.C.M., 2010. "Assessment of the impact of the European CO2 emissions trading scheme on the Portuguese chemical industry," Energy Policy, Elsevier, vol. 38(1), pages 626-632, January.
    12. Haider, Salman & Mishra, Prajna Paramita, 2021. "Does innovative capability enhance the energy efficiency of Indian Iron and Steel firms? A Bayesian stochastic frontier analysis," Energy Economics, Elsevier, vol. 95(C).
    13. Li, Kathleen T. & Bell, David R., 2017. "Estimation of average treatment effects with panel data: Asymptotic theory and implementation," Journal of Econometrics, Elsevier, vol. 197(1), pages 65-75.
    14. Zhiguo Li & Jie Wang & Shuai Che, 2021. "Synergistic Effect of Carbon Trading Scheme on Carbon Dioxide and Atmospheric Pollutants," Sustainability, MDPI, vol. 13(10), pages 1-16, May.
    15. Ouyang, Min & Peng, Yulei, 2015. "The treatment-effect estimation: A case study of the 2008 economic stimulus package of China," Journal of Econometrics, Elsevier, vol. 188(2), pages 545-557.
    16. Ge Li & Da Gao & Yi Li, 2023. "Impacts of Market‐based Environmental Regulation on Green Total Factor Energy Efficiency in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 31(3), pages 92-114, May.
    17. Cheng Hsiao & H. Steve Ching & Shui Ki Wan, 2012. "A Panel Data Approach For Program Evaluation: Measuring The Benefits Of Political And Economic Integration Of Hong Kong With Mainland China," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 705-740, August.
    18. Hongxin Yu & Yaohui Jiang & Zhaowen Zhang & Wen-Long Shang & Chunjia Han & Yuanjun Zhao, 2022. "The impact of carbon emission trading policy on firms’ green innovation in China," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-24, December.
    19. Ming Gao & Malin Song & Yu Liu & Jiandong Chen, 2024. "The impact of carbon emission trading schemes on China’s economic inequalities between and within urban and rural areas based on the satellite data: a county-level analysis," Climate Policy, Taylor & Francis Journals, vol. 24(8), pages 1096-1111, September.
    20. Hu, Yucai & Ren, Shenggang & Wang, Yangjie & Chen, Xiaohong, 2020. "Can carbon emission trading scheme achieve energy conservation and emission reduction? Evidence from the industrial sector in China," Energy Economics, Elsevier, vol. 85(C).
    21. Zhaoyang Zhao & Shuning Zhou & Siying Wang & Chong Ye & Tuolei Wu, 2022. "The Impact of Carbon Emissions Trading Pilot Policy on Industrial Structure Upgrading," Sustainability, MDPI, vol. 14(17), pages 1-25, August.
    22. R. H. Coase, 2013. "The Problem of Social Cost," Journal of Law and Economics, University of Chicago Press, vol. 56(4), pages 837-877.
    23. Zhang, Ning & Kong, Fanbin & Choi, Yongrok & Zhou, P., 2014. "The effect of size-control policy on unified energy and carbon efficiency for Chinese fossil fuel power plants," Energy Policy, Elsevier, vol. 70(C), pages 193-200.
    24. Zhe Deng & Dongya Li & Tao Pang & Maosheng Duan, 2018. "Effectiveness of pilot carbon emissions trading systems in China," Climate Policy, Taylor & Francis Journals, vol. 18(8), pages 992-1011, September.
    25. Palao, Fernando & Pardo, Angel, 2012. "Assessing price clustering in European Carbon Markets," Applied Energy, Elsevier, vol. 92(C), pages 51-56.
    26. Hasanbeigi, Ali & Morrow, William & Sathaye, Jayant & Masanet, Eric & Xu, Tengfang, 2013. "A bottom-up model to estimate the energy efficiency improvement and CO2 emission reduction potentials in the Chinese iron and steel industry," Energy, Elsevier, vol. 50(C), pages 315-325.
    27. Fare, Rolf, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    28. Li, Ke & Zou, Danyu & Li, Hailing, 2023. "Environmental regulation and green technical efficiency: A process-level data envelopment analysis from Chinese iron and steel enterprises," Energy, Elsevier, vol. 277(C).
    29. Fang, Kai & Zhang, Qifeng & Long, Yin & Yoshida, Yoshikuni & Sun, Lu & Zhang, Haoran & Dou, Yi & Li, Shuai, 2019. "How can China achieve its Intended Nationally Determined Contributions by 2030? A multi-criteria allocation of China’s carbon emission allowance," Applied Energy, Elsevier, vol. 241(C), pages 380-389.
    30. Qiong Wu & Kanittha Tambunlertchai & Pongsa Pornchaiwiseskul, 2021. "Examining the Impact and Influencing Channels of Carbon Emission Trading Pilot Markets in China," Sustainability, MDPI, vol. 13(10), pages 1-18, May.
    31. Zhang, Lirong & Li, Yakun & Jia, Zhijie, 2018. "Impact of carbon allowance allocation on power industry in China’s carbon trading market: Computable general equilibrium based analysis," Applied Energy, Elsevier, vol. 229(C), pages 814-827.
    32. Barros, Carlos Pestana & Managi, Shunsuke & Matousek, Roman, 2012. "The technical efficiency of the Japanese banks: Non-radial directional performance measurement with undesirable output," Omega, Elsevier, vol. 40(1), pages 1-8, January.
    33. Mohamed Amine Boutabba, 2014. "The impact of financial development, income, energy and trade on carbon emissions: Evidence from the Indian economy," Post-Print hal-02877966, HAL.
    34. Boutabba, Mohamed Amine, 2014. "The impact of financial development, income, energy and trade on carbon emissions: Evidence from the Indian economy," Economic Modelling, Elsevier, vol. 40(C), pages 33-41.
    35. Pang, Rui-zhi & Deng, Zhong-qi & Chiu, Yung-ho, 2015. "Pareto improvement through a reallocation of carbon emission quotas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 419-430.
    36. Cheng Hsiao & Qiankun Zhou, 2019. "Panel parametric, semiparametric, and nonparametric construction of counterfactuals," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(4), pages 463-481, June.
    37. Zhou, P. & Ang, B.W. & Han, J.Y., 2010. "Total factor carbon emission performance: A Malmquist index analysis," Energy Economics, Elsevier, vol. 32(1), pages 194-201, January.
    38. Jia, Zhijie & Lin, Boqiang, 2021. "How to achieve the first step of the carbon-neutrality 2060 target in China: The coal substitution perspective," Energy, Elsevier, vol. 233(C).
    39. Lin, Boqiang & Du, Kerui, 2014. "Measuring energy efficiency under heterogeneous technologies using a latent class stochastic frontier approach: An application to Chinese energy economy," Energy, Elsevier, vol. 76(C), pages 884-890.
    40. Nwachukwu, Chinedu Maureen & Wang, Chuan & Wetterlund, Elisabeth, 2021. "Exploring the role of forest biomass in abating fossil CO2 emissions in the iron and steel industry – The case of Sweden," Applied Energy, Elsevier, vol. 288(C).
    41. Zhu, Bangzhu & Zhang, Mengfan & Huang, Liqing & Wang, Ping & Su, Bin & Wei, Yi-Ming, 2020. "Exploring the effect of carbon trading mechanism on China's green development efficiency: A novel integrated approach," Energy Economics, Elsevier, vol. 85(C).
    42. Xu, Mengmeng & Lin, Boqiang, 2022. "Energy efficiency gains from distortion mitigation: A perspective on the metallurgical industry," Resources Policy, Elsevier, vol. 77(C).
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