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How much climate policy has cost for OECD countries?

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  • Kuosmanen, Timo
  • Zhou, Xun
  • Dai, Sheng

Abstract

High economic cost of climate policy has attracted critical debate since the Kyoto Protocol. However, reliable empirical evidence of the abatement cost of green-house gases across countries remains scant. In this study we estimate the average yearly green-house gas abatement costs per capita for a panel of 28 OECD countries in years 1990–2015. The marginal abatement costs are estimated using a novel data-driven approach based on convex quantile regression. Compared to traditional frontier estimation methods, the quantile approach takes into account a broader set of abatement options and is more robust to inefficiency, noise, and heteroscedasticity in empirical data. The comparison of OECD countries shows that the actual abatement cost per capita has been very modest, much lower than predicted in the late 1990s. This result has profound policy implications, calling for more ambitious climate change mitigation strategy in the future.

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  • Kuosmanen, Timo & Zhou, Xun & Dai, Sheng, 2020. "How much climate policy has cost for OECD countries?," World Development, Elsevier, vol. 125(C).
  • Handle: RePEc:eee:wdevel:v:125:y:2020:i:c:s0305750x19303298
    DOI: 10.1016/j.worlddev.2019.104681
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    References listed on IDEAS

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    1. Timo Kuosmanen & Andrew Johnson & Antti Saastamoinen, 2015. "Stochastic Nonparametric Approach to Efficiency Analysis: A Unified Framework," International Series in Operations Research & Management Science, in: Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 7, pages 191-244, Springer.
    2. Carolyn Fischer & Richard D. Morgenstern, 2006. "Carbon Abatement Costs: Why the Wide Range of Estimates?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 73-86.
    3. Halsnæs, Kirsten & Markandya, Anil & Shukla, P., 2011. "Introduction: Sustainable Development, Energy, and Climate Change," World Development, Elsevier, vol. 39(6), pages 983-986, June.
    4. William D. Nordhaus & Joseph G. Boyer, 1999. "Requiem for Kyoto: An Economic Analysis of the Kyoto Protocol," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 93-130.
    5. Lee, Chia-Yen & Wang, Ke, 2019. "Nash marginal abatement cost estimation of air pollutant emissions using the stochastic semi-nonparametric frontier," European Journal of Operational Research, Elsevier, vol. 273(1), pages 390-400.
    6. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521608275.
    7. Mattoo, Aaditya & Subramanian, Arvind, 2012. "Equity in Climate Change: An Analytical Review," World Development, Elsevier, vol. 40(6), pages 1083-1097.
    8. Timo Kuosmanen, 2008. "Representation theorem for convex nonparametric least squares," Econometrics Journal, Royal Economic Society, vol. 11(2), pages 308-325, July.
    9. Atakelty Hailu & Terrence S. Veeman, 2001. "Non-parametric Productivity Analysis with Undesirable Outputs: An Application to the Canadian Pulp and Paper Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 605-616.
    10. Christoph Böhringer & Carsten Vogt, 2003. "Economic and environmental impacts of the Kyoto Protocol," Canadian Journal of Economics, Canadian Economics Association, vol. 36(2), pages 475-496, May.
    11. Markandya, Anil, 2011. "Equity and Distributional Implications of Climate Change," World Development, Elsevier, vol. 39(6), pages 1051-1060, June.
    12. Zhang, ZhongXiang & Folmer, Henk, 1998. "Economic modelling approaches to cost estimates for the control of carbon dioxide emissions1," Energy Economics, Elsevier, vol. 20(1), pages 101-120, February.
    13. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    14. Klepper, Gernot & Peterson, Sonja, 2006. "Marginal abatement cost curves in general equilibrium: The influence of world energy prices," Resource and Energy Economics, Elsevier, vol. 28(1), pages 1-23, January.
    15. Christoph Böhringer & Carsten Vogt, 2003. "Economic and environmental impacts of the Kyoto Protocol," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 36(2), pages 475-496, May.
    16. McKibbin, Warwick J. & Wilcoxen, Peter J., 2004. "Estimates of the costs of Kyoto: Marrakesh versus the McKibbin-Wilcoxen blueprint," Energy Policy, Elsevier, vol. 32(4), pages 467-479, March.
    17. Simões, Sofia & Cleto, João & Fortes, Patri­cia & Seixas, Júlia & Huppes, Gjalt, 2008. "Cost of energy and environmental policy in Portuguese CO2 abatement--scenario analysis to 2020," Energy Policy, Elsevier, vol. 36(9), pages 3598-3611, September.
    18. Kuosmanen, Timo & Johnson, Andrew, 2017. "Modeling joint production of multiple outputs in StoNED: Directional distance function approach," European Journal of Operational Research, Elsevier, vol. 262(2), pages 792-801.
    19. Markandya, A. & Antimiani, A. & Costantini, V. & Martini, C. & Palma, A. & Tommasino, M.C., 2015. "Analyzing Trade-offs in International Climate Policy Options: The Case of the Green Climate Fund," World Development, Elsevier, vol. 74(C), pages 93-107.
    20. Wang, Yongqiao & Wang, Shouyang & Dang, Chuangyin & Ge, Wenxiu, 2014. "Nonparametric quantile frontier estimation under shape restriction," European Journal of Operational Research, Elsevier, vol. 232(3), pages 671-678.
    21. Rajiv D. Banker & Srikant M. Datar & Chris F. Kemerer, 1991. "A Model to Evaluate Variables Impacting the Productivity of Software Maintenance Projects," Management Science, INFORMS, vol. 37(1), pages 1-18, January.
    22. Eren Cifci & Matthew E. Oliver, 2018. "Reassessing the Links between GHG Emissions, Economic Growth, and the UNFCCC: A Difference-in-Differences Approach," Sustainability, MDPI, vol. 10(2), pages 1-22, January.
    23. Dagoumas, A.S. & Papagiannis, G.K. & Dokopoulos, P.S., 2006. "An economic assessment of the Kyoto Protocol application," Energy Policy, Elsevier, vol. 34(1), pages 26-39, January.
    24. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731.
    25. Viguier, Laurent L. & Babiker, Mustafa H. & Reilly, John M., 2003. "The costs of the Kyoto Protocol in the European Union," Energy Policy, Elsevier, vol. 31(5), pages 459-481, April.
    26. Timo Kuosmanen & Mika Kortelainen, 2012. "Stochastic non-smooth envelopment of data: semi-parametric frontier estimation subject to shape constraints," Journal of Productivity Analysis, Springer, vol. 38(1), pages 11-28, August.
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    Cited by:

    1. Dai, Sheng & Zhou, Xun & Kuosmanen, Timo, 2020. "Forward-looking assessment of the GHG abatement cost: Application to China," Energy Economics, Elsevier, vol. 88(C).
    2. Chu, Long & Grafton, R. Quentin & Nguyen, Hai, 2022. "A global analysis of the break-even prices to reduce atmospheric carbon dioxide via forest plantation and avoided deforestation," Forest Policy and Economics, Elsevier, vol. 135(C).
    3. Quinn, Barry & Gallagher, Ronan & Kuosmanen, Timo, 2021. "Lurking in the Shadows: The Impact of Emissions Target Setting on Carbon Pricing and Environmental Efficiency," QBS Working Paper Series 2021/05, Queen's University Belfast, Queen's Business School.
    4. 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.
    5. Dai, Sheng, 2023. "Variable selection in convex quantile regression: L1-norm or L0-norm regularization?," European Journal of Operational Research, Elsevier, vol. 305(1), pages 338-355.
    6. Núñez, Angie Paola Bernal & Gutiérrez-Montes, Isabel & Hernández-Núñez, Héctor Eduardo & Suárez, David Ricardo Gutiérrez & García, Gustavo Adolfo Gutiérrez & Suárez, Juan Carlos & Casanoves, Fernando , 2023. "Diverse farmer livelihoods increase resilience to climate variability in southern Colombia," Land Use Policy, Elsevier, vol. 131(C).
    7. 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.
    8. Dai, Sheng & Kuosmanen, Timo & Zhou, Xun, 2023. "Generalized quantile and expectile properties for shape constrained nonparametric estimation," European Journal of Operational Research, Elsevier, vol. 310(2), pages 914-927.
    9. Liao, Zhiqiang & Dai, Sheng & Kuosmanen, Timo, 2024. "Convex support vector regression," European Journal of Operational Research, Elsevier, vol. 313(3), pages 858-870.
    10. Bei Gao & Zuoren Sun, 2023. "Marginal CO 2 and SO 2 Abatement Costs and Determinants of Coal-Fired Power Plants in China: Considering a Two-Stage Production System with Different Emission Reduction Approaches," Energies, MDPI, vol. 16(8), pages 1-26, April.
    11. Xian, Yujiao & Hu, Zhihui & Wang, Ke, 2023. "The least-cost abatement measure of carbon emissions for China's glass manufacturing industry based on the marginal abatement costs," Energy, Elsevier, vol. 284(C).
    12. 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).
    13. Sheng Dai & Natalia Kuosmanen & Timo Kuosmanen & Juuso Liesio, 2023. "Optimal resource allocation: Convex quantile regression approach," Papers 2311.06590, arXiv.org.
    14. 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).

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