IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v12y2025i1d10.1057_s41599-025-05482-8.html
   My bibliography  Save this article

Gaps between market performance, government planning and social objectives: projections and comparisons of carbon price intervals

Author

Listed:
  • Xing Zhou

    (Jiangsu Normal University)

  • Jianze Xu

    (Jiangsu Normal University)

  • Ming Zhang

    (China University of Mining and Technology)

  • Anyi Niu

    (Jilin University
    Jilin University)

  • Chuxia Lin

    (Deakin University)

Abstract

The core function of the carbon market is price discovery, but the current carbon prices neither reflect government planning to reduce emissions nor provide the necessary incentives for the innovation of low-carbon technologies in society. This study developed the Hubei carbon price probability forecasting models using machine learning and stochastic analysis from the perspectives of market performance, government planning, and social objectives. The carbon price interval expected by the government is slightly higher than that indicated by market performance, so there still exists a significant gap compared to the incentives required for innovation in low-carbon technologies. To fall within the 90% highest posterior density interval of the shadow price, it would need to be increased by at least 33 times. The differences in price intervals between the different perspectives are crucial for the government to address, as they reflect the complex interplay between environmental ambition, operational decisions and political acceptability.

Suggested Citation

  • Xing Zhou & Jianze Xu & Ming Zhang & Anyi Niu & Chuxia Lin, 2025. "Gaps between market performance, government planning and social objectives: projections and comparisons of carbon price intervals," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-20, December.
  • Handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-05482-8
    DOI: 10.1057/s41599-025-05482-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-025-05482-8
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/s41599-025-05482-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Weber, Thomas A. & Neuhoff, Karsten, 2010. "Carbon markets and technological innovation," Journal of Environmental Economics and Management, Elsevier, vol. 60(2), pages 115-132, September.
    2. Jialu Ma & Jeffrey Kuo, 2021. "Environmental self‐regulation for sustainable development: Can internal carbon pricing enhance financial performance?," Business Strategy and the Environment, Wiley Blackwell, vol. 30(8), pages 3517-3527, December.
    3. Martin L. Weitzman, 1974. "Prices vs. Quantities," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 41(4), pages 477-491.
    4. Osorio, Sebastian & Tietjen, Oliver & Pahle, Michael & Pietzcker, Robert C. & Edenhofer, Ottmar, 2021. "Reviewing the Market Stability Reserve in light of more ambitious EU ETS emission targets," Energy Policy, Elsevier, vol. 158(C).
    5. Zhu, Bangzhu & Wei, Yiming, 2013. "Carbon price forecasting with a novel hybrid ARIMA and least squares support vector machines methodology," Omega, Elsevier, vol. 41(3), pages 517-524.
    6. Ding, Lili & Zhang, Rui & Zhao, Xin, 2024. "Forecasting carbon price in China unified carbon market using a novel hybrid method with three-stage algorithm and long short-term memory neural networks," Energy, Elsevier, vol. 288(C).
    7. Jin, Yana & Liu, Xiaorui & Chen, Xiang & Dai, Hancheng, 2020. "Allowance allocation matters in China's carbon emissions trading system," Energy Economics, Elsevier, vol. 92(C).
    8. Thanasis Bouzidis & Giannis Karagiannis, 2022. "A note on the zero-sum gains data envelopment analysis model," Operational Research, Springer, vol. 22(3), pages 1737-1758, July.
    9. Quinn, Barry & Gallagher, Ronan & Kuosmanen, Timo, 2023. "Lurking in the shadows: The impact of CO2 emissions target setting on carbon pricing in the Kyoto agreement period," Energy Economics, Elsevier, vol. 118(C).
    10. Niu, Hongli & Xu, Kunliang & Liu, Cheng, 2021. "A decomposition-ensemble model with regrouping method and attention-based gated recurrent unit network for energy price prediction," Energy, Elsevier, vol. 231(C).
    11. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    12. Li, Jingmiao & Liu, Dehong, 2023. "Carbon price forecasting based on secondary decomposition and feature screening," Energy, Elsevier, vol. 278(PA).
    13. Wang, Jujie & Zhuang, Zhenzhen & Gao, Dongming, 2023. "An enhanced hybrid model based on multiple influencing factors and divide-conquer strategy for carbon price prediction," Omega, Elsevier, vol. 120(C).
    14. Duan, Kun & Wang, Rui & Chen, Shun & Ge, Lei, 2023. "Exploring the predictability of attention mechanism with LSTM: Evidence from EU carbon futures prices," Research in International Business and Finance, Elsevier, vol. 66(C).
    15. Tang, Bao-Jun & Wang, Xiang-Yu & Wei, Yi-Ming, 2019. "Quantities versus prices for best social welfare in carbon reduction: A literature review," Applied Energy, Elsevier, vol. 233, pages 554-564.
    16. Pai, Ping-Feng & Lin, Chih-Sheng, 2005. "A hybrid ARIMA and support vector machines model in stock price forecasting," Omega, Elsevier, vol. 33(6), pages 497-505, December.
    17. Silva, Elvira & Magalhães, Manuela, 2023. "Environmental efficiency, irreversibility and the shadow price of emissions," European Journal of Operational Research, Elsevier, vol. 306(2), pages 955-967.
    18. Chen Shi & Yujiao Xian & Zhixin Wang & Ke Wang, 2023. "Marginal abatement cost curve of carbon emissions in China: a functional data analysis," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 28(2), pages 1-25, February.
    19. Gao, Feng & Shao, Xueyan, 2022. "A novel interval decomposition ensemble model for interval carbon price forecasting," Energy, Elsevier, vol. 243(C).
    20. Chib S. & Jeliazkov I., 2001. "Marginal Likelihood From the Metropolis-Hastings Output," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 270-281, March.
    21. Fabian Kesicki & Paul Ekins, 2012. "Marginal abatement cost curves: a call for caution," Climate Policy, Taylor & Francis Journals, vol. 12(2), pages 219-236, March.
    22. Zheng, Yan & Yin, Hua & Zhou, Min & Liu, Wenhua & Wen, Fenghua, 2021. "Impacts of oil shocks on the EU carbon emissions allowances under different market conditions," Energy Economics, Elsevier, vol. 104(C).
    23. Jeremy Bertomeu & Edwige Cheynel & Yifei Liao & Mario Milone, 2025. "Using Machine Learning to Measure Conservatism," Management Science, INFORMS, vol. 71(2), pages 1504-1522, February.
    24. Rolf Fare, 1993. "Derivation of Shadow Prices for Undesirable Outputs: A Distance Function Approach," The Review of Economics and Statistics, MIT Press, vol. 75(2), pages 374-380, May.
    25. Joe Zhu, 2022. "DEA under big data: data enabled analytics and network data envelopment analysis," Annals of Operations Research, Springer, vol. 309(2), pages 761-783, February.
    26. Kuik, Onno & Brander, Luke & Tol, Richard S.J., 2009. "Marginal abatement costs of greenhouse gas emissions: A meta-analysis," Energy Policy, Elsevier, vol. 37(4), pages 1395-1403, April.
    27. Gustav Martinsson & László Sajtos & Per Strömberg & Christian Thomann, 2024. "The Effect of Carbon Pricing on Firm Emissions: Evidence from the Swedish CO2 Tax," The Review of Financial Studies, Society for Financial Studies, vol. 37(6), pages 1848-1886.
    28. Xu, Hao & Xu, Jingxuan & Wang, Jie & Hou, Xiang, 2023. "Reduce production or increase efficiency? Hazardous air pollutants regulation, energy use, and the synergistic effect on industrial enterprises' carbon emission," Energy Economics, Elsevier, vol. 126(C).
    29. Liping Liao & Minzhe Du & Bing Wang & Yanni Yu, 2019. "The Impact of Educational Investment on Sustainable Economic Growth in Guangdong, China: A Cointegration and Causality Analysis," Sustainability, MDPI, vol. 11(3), pages 1-16, February.
    30. Fare, Rolf & Grosskopf, Shawna & Noh, Dong-Woon & Weber, William, 2005. "Characteristics of a polluting technology: theory and practice," Journal of Econometrics, Elsevier, vol. 126(2), pages 469-492, June.
    31. Lahdelma, Risto & Salminen, Pekka, 2006. "Stochastic multicriteria acceptability analysis using the data envelopment model," European Journal of Operational Research, Elsevier, vol. 170(1), pages 241-252, April.
    32. Xiongfeng Pan & Mengna Li & Haitao Xu & Shucen Guo & Ranran Guo & Chew Tin Lee, 2021. "Simulation on the effectiveness of carbon emission trading policy: A system dynamics approach," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 72(7), pages 1447-1460, July.
    33. Zheng, Yan & Wen, Fenghua & Deng, Hanshi & Zeng, Aiqing, 2022. "The relationship between carbon market attention and the EU CET market: Evidence from different market conditions," Finance Research Letters, Elsevier, vol. 50(C).
    34. Seungwoo Han, 2022. "Identifying the roots of inequality of opportunity in South Korea by application of algorithmic approaches," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 9(1), pages 1-10, December.
    35. Liu, Hong & Zhu, Yulin & Cui, Na & Zheng, Yan, 2024. "The impact of global uncertainties on the spillover among the European carbon market, the Chinese oil futures market, and the international oil futures market," Finance Research Letters, Elsevier, vol. 67(PB).
    36. Falko Ueckerdt & Christian Bauer & Alois Dirnaichner & Jordan Everall & Romain Sacchi & Gunnar Luderer, 2021. "Potential and risks of hydrogen-based e-fuels in climate change mitigation," Nature Climate Change, Nature, vol. 11(5), pages 384-393, May.
    37. Zhou, P. & Zhou, X. & Fan, L.W., 2014. "On estimating shadow prices of undesirable outputs with efficiency models: A literature review," Applied Energy, Elsevier, vol. 130(C), pages 799-806.
    38. Tan, Xiujie & Sun, Qian & Wang, Meiji & Se Cheong, Tsun & Yan Shum, Wai & Huang, Jinpeng, 2022. "Assessing the effects of emissions trading systems on energy consumption and energy mix," Applied Energy, Elsevier, vol. 310(C).
    39. Xiaohang Ren & Yue Dou & Kangyin Dong & Yiying Li, 2022. "Information spillover and market connectedness: multi-scale quantile-on-quantile analysis of the crude oil and carbon markets," Applied Economics, Taylor & Francis Journals, vol. 54(38), pages 4465-4485, August.
    40. Quan Yuan & Youhua (Frank) Chen & Jian Yang & Yun Zhou, 2018. "Joint Control of Emissions Permit Trading and Production Involving Fixed and Variable Transaction Costs," Production and Operations Management, Production and Operations Management Society, vol. 27(8), pages 1420-1454, August.
    41. Kuosmanen, Timo & Zhou, Xun, 2021. "Shadow prices and marginal abatement costs: Convex quantile regression approach," European Journal of Operational Research, Elsevier, vol. 289(2), pages 666-675.
    42. Kate Ervine, 2018. "How Low Can It Go? Analysing the Political Economy of Carbon Market Design and Low Carbon Prices," New Political Economy, Taylor & Francis Journals, vol. 23(6), pages 690-710, November.
    43. Krishnan S. Anand & François C. Giraud-Carrier, 2020. "Pollution Regulation of Competitive Markets," Management Science, INFORMS, vol. 66(9), pages 4193-4206, September.
    44. Xiaoshuai Fan & Kanglin Chen & Ying-Ju Chen, 2023. "Is Price Commitment a Better Solution to Control Carbon Emissions and Promote Technology Investment?," Management Science, INFORMS, vol. 69(1), pages 325-341, January.
    45. Ma, Chunbo & Hailu, Atakelty & You, Chaoying, 2019. "A critical review of distance function based economic research on China’s marginal abatement cost of carbon dioxide emissions," Energy Economics, Elsevier, vol. 84(C).
    46. Ren, Xiaohang & Li, Wenqi & Duan, Kun & Urquhart, Andrew, 2025. "Carbon risk and debt financing: An international perspective," Journal of International Money and Finance, Elsevier, vol. 153(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhao, Yang & Wang, Jianzhou & Wang, Shuai & Zheng, Jingwei & Lv, Mengzheng, 2025. "Using explainable deep learning to improve decision quality: Evidence from carbon trading market," Omega, Elsevier, vol. 133(C).
    2. Sun, Yuhuan & Li, Hui & Zhu, Bingcheng, 2024. "Factor market distortion, total factor energy efficiency and energy shadow price: A case of Chinese manufacturing industry," Energy, Elsevier, vol. 307(C).
    3. Shirong Zhao & Guangshun Qiao, 2022. "The shadow prices of CO2, SO2 and NOx for U.S. coal power industry 2010–2017: a convex quantile regression method," Journal of Productivity Analysis, Springer, vol. 57(3), pages 243-253, June.
    4. Zhao, Yu & Zhong, Honglin & Kong, Fanbin & Zhang, Ning, 2023. "Can China achieve carbon neutrality without power shortage? A substitutability perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    5. Liu, Jinpei & Wang, Jiaqi & Zhao, Xiaoman & Tao, Zhifu, 2025. "A multi-objective ensemble prediction model for interval-valued carbon price based on mixed-frequency data and sub-model selection," Energy, Elsevier, vol. 326(C).
    6. Zhou, Yi & Zhou, Wenji & Wei, Chu, 2023. "Environmental performance of the Chinese cement enterprise: An empirical analysis using a text-based directional vector," Energy Economics, Elsevier, vol. 125(C).
    7. Ali Emrouznejad & Victor Podinovski & Vincent Charles & Chixiao Lu & Amir Moradi-Motlagh, 2025. "Rajiv Banker’s lasting impact on data envelopment analysis," Annals of Operations Research, Springer, vol. 351(2), pages 1225-1264, August.
    8. An, Chao & Zhou, Peng, 2024. "Energy transition affordability in China: Disparities and determinants," Energy Economics, Elsevier, vol. 140(C).
    9. Rekker, Lennard & Kesina, Michaela & Mulder, Machiel, 2023. "Carbon abatement in the European chemical industry: assessing the feasibility of abatement technologies by estimating firm-level marginal abatement costs," Energy Economics, Elsevier, vol. 126(C).
    10. Silva, Elvira & Magalhães, Manuela, 2023. "Environmental efficiency, irreversibility and the shadow price of emissions," European Journal of Operational Research, Elsevier, vol. 306(2), pages 955-967.
    11. Rødseth, Kenneth Løvold, 2023. "Shadow pricing of electricity generation using stochastic and deterministic materials balance models," Applied Energy, Elsevier, vol. 341(C).
    12. Wang, Zhengzhong & Wei, Yunjie & Wang, Shouyang, 2025. "Forecasting the carbon price of China's national carbon market: A novel dynamic interval-valued framework," Energy Economics, Elsevier, vol. 141(C).
    13. Hua, Jiawen & Wang, Kai & Lin, Jun & Qian, Yanjun, 2024. "Carbon Tax vs. Carbon Cap-and-Trade: Implementation of carbon border tax in cross-regional production," International Journal of Production Economics, Elsevier, vol. 274(C).
    14. Letmathe, Peter & Wagner, Sandra, 2018. "“Messy” marginal costs: Internal pricing of environmental aspects on the firm level," International Journal of Production Economics, Elsevier, vol. 201(C), pages 41-52.
    15. Rødseth, Kenneth Løvold, 2023. "Noise pollution of container handling: External and abatement costs and environmental efficiency," Transport Policy, Elsevier, vol. 134(C), pages 82-93.
    16. Wen, Xiaojie & Yao, Shunbo & Sauer, Johannes, 2022. "Shadow prices and abatement cost of soil erosion in Shaanxi Province, China: Convex expectile regression approach," Ecological Economics, Elsevier, vol. 201(C).
    17. Jiang, Meiqin & Che, Jinxing & Li, Shuying & Hu, Kun & Xu, Yifan, 2025. "Incorporating key features from structured and unstructured data for enhanced carbon trading price forecasting with interpretability analysis," Applied Energy, Elsevier, vol. 382(C).
    18. Surender Kumar & Rakesh Kumar Jain, 2021. "Cost of CO2 emission mitigation and its decomposition: evidence from coal-fired thermal power sector in India," Empirical Economics, Springer, vol. 61(2), pages 693-717, August.
    19. Guillen, Maria D. & Aparicio, Juan & Kapelko, Magdalena & Esteve, Miriam, 2025. "Measuring environmental inefficiency through machine learning: An approach based on efficiency analysis trees and by-production technology," European Journal of Operational Research, Elsevier, vol. 321(2), pages 529-542.
    20. Bin Wei & Nengmin Wang & Bin Jiang & Zhengwen He, 2025. "Optimal environmental regulation and firms’ location choice under yield uncertainty," Annals of Operations Research, Springer, vol. 344(1), pages 413-456, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-05482-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/palcomms/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.