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Corrigendum to “Do carbon taxes affect economic and environmental efficiency? The case of British Columbia's manufacturing plants” [Energy Economics Volume 115, November 2022, 106359]

Author

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  • Kumbhakar, Subal C.
  • Badunenko, Oleg
  • Willox, Michael

Abstract

This paper evaluates the impact of British Columbia’s carbon tax on manufacturers’ economic and environmental performance in a unified modeling framework that allows for a critical distinction between efficiency, technical change, and total factor productivity as performance measures. In contrast to most papers that examine environmental policy impacts on either the economy or the environment, our approach combines a by-production model within a stochastic frontier framework to evaluate the tax’s impacts on both economic and environmental efficiency. Our findings suggest that a 1.0% increase in the carbon tax improved manufacturers’ efficiency in producing desirable output (real sales of manufactured goods) by 0.5%. In addition, the same 1.0% increase in the carbon tax improved manufacturers’ environmental efficiency for greenhouse gas (GHGs) and carbon monoxide (CO) emissions by the same amount, 0.2%. However, the carbon tax led to lower environmental efficiency for emissions of nitrogen oxides (NOX), −0.3%. In addition, our use of a rich plant-level dataset reveals considerable heterogeneity in manufacturers’ efficiency responses to the tax. Finally, we suggest that lower efficiency levels for undesirable outputs than desirable outputs indicate that the relative cost of adjusting production processes to improve efficiency favors economic efficiency over environmental efficiency.
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Suggested Citation

  • Kumbhakar, Subal C. & Badunenko, Oleg & Willox, Michael, 2025. "Corrigendum to “Do carbon taxes affect economic and environmental efficiency? The case of British Columbia's manufacturing plants” [Energy Economics Volume 115, November 2022, 106359]," Energy Economics, Elsevier, vol. 144(C).
  • Handle: RePEc:eee:eneeco:v:144:y:2025:i:c:s0140988325001525
    DOI: 10.1016/j.eneco.2025.108328
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    2. Any Flore Djoumessi Djoukouo, 2026. "Asymmetric Business Cycle Fluctuations and Emissions: Evidence From African Countries," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 70(1), pages 22-43, January.
    3. Xie, Yongjing & Lin, Boqiang, 2026. "Driving urban sustainable development: The role of renewable energy technology innovation in enhancing urban environmental efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PA).
    4. Hamidoğlu, Ali & Wang, Yuhao & Wang, Hao, 2025. "Transforming energy taxation policy: A dual cooperative game and stochastic frontier approach for sustainable transitions in Canada," Energy, Elsevier, vol. 337(C).
    5. Skevas, Ioannis & Kneib, Thomas, 2025. "A copula-based semiparametric by-production stochastic frontier model," Economic Modelling, Elsevier, vol. 152(C).
    6. Wang, Derek D. & Hu, Peng & Ren, Yaoyao, 2025. "The by-production models for benchmarking," Energy Economics, Elsevier, vol. 143(C).
    7. Junhai Ma & Yuxin Liu & Liyan Geng, 2023. "Does green credit financing mode with cap‐and‐trade scheme really benefit all members?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(7), pages 4173-4192, October.
    8. Na Zhao & Ming Zhao & Han Long & Liang Yuan, 2025. "Facing or evading? The impact of environmental taxes on the migration of heavily polluting enterprises in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(5), pages 11773-11796, May.
    9. Jean‐Joseph Minviel & Marc Benoit & Laure Latruffe, 2025. "Environmental and technical efficiency of French suckler sheep farms under pollution‐generating technologies: A multi‐equation stochastic frontier approach using info‐metrics," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 73(2), pages 155-180, June.
    10. Keqiang Wang & Chunxin Lin, 2024. "Can Low-Carbon Transition Impact the High-Quality Development of the Manufacturing Industry?—Experience Evidence from a Low-Carbon Pilot Policy," Sustainability, MDPI, vol. 16(23), pages 1-27, December.
    11. Christopher F. Parmeter & Subal C. Kumbhakar, 2025. "The generalized panel data stochastic frontier model: A review and nonparametric estimation," Journal of Productivity Analysis, Springer, vol. 64(3), pages 321-339, December.
    12. Di, Danyang & Li, Guoxiang & Shen, Zhiyang & Song, Malin & Vardanyan, Michael, 2023. "Environmental credit constraints and pollution reduction: Evidence from China's blacklisting system for environmental fraud," Ecological Economics, Elsevier, vol. 210(C).

    More about this item

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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