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Second-best instruments for near-term climate policy: Intensity targets vs. the safety valve

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  • Webster, Mort
  • Sue Wing, Ian
  • Jakobovits, Lisa

Abstract

Current proposals for greenhouse gas emissions regulations in the United States mainly take the form of emissions caps with tradable permits. Since Weitzman's (1974) [3] study of prices vs. quantities, economic theory predicts that a price instrument is superior under uncertainty in the case of stock pollutants. Given the general belief in the political infeasibility of a carbon tax in the US, there has been recent interest in two other policy instrument designs: hybrid policies and intensity targets. We extend the Weitzman model to derive an analytical expression for the expected net benefits of a hybrid instrument under uncertainty. We compare this expression to one developed by Newell and Pizer (2006) [6] for an intensity target, and show the theoretical minimum correlation between GDP and emissions required for an intensity target to be preferred over a hybrid. In general, we show that unrealistically high correlations are required for the intensity target to be preferred to a hybrid, making a hybrid a more practical instrument in practice. We test the predictions by performing Monte Carlo simulation on a computable general equilibrium model of the US economy. The results are similar, and we show with the numerical model that when marginal abatement costs are non-linear, an even higher correlation is required for an intensity target to be preferred over a safety valve.

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  • Webster, Mort & Sue Wing, Ian & Jakobovits, Lisa, 2010. "Second-best instruments for near-term climate policy: Intensity targets vs. the safety valve," Journal of Environmental Economics and Management, Elsevier, vol. 59(3), pages 250-259, May.
  • Handle: RePEc:eee:jeeman:v:59:y:2010:i:3:p:250-259
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    6. J. Scott Holladay & Mohammed Mohsin & Shreekar Pradhan, 2019. "Environmental Policy Instrument Choice and International Trade," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(4), pages 1585-1617, December.
    7. Frédéric Branger & Philippe Quirion, 2014. "Price versus Quantities versus Indexed Quantities," Working Papers 2014.09, FAERE - French Association of Environmental and Resource Economists.
    8. Jinhua Zhao, 2022. "Aggregate emission intensity targets: Applications to the Paris Agreement," Economic Inquiry, Western Economic Association International, vol. 60(4), pages 1875-1897, October.
    9. Hsiao-chi Chen & Shi-miin Liu, 2018. "Environmental efficiency of price and quantity policies," Economics Bulletin, AccessEcon, vol. 38(3), pages 1514-1522.
    10. Jeong, Dawoon & Sesmero, Juan Pablo, 2021. "Do changing weather patterns warrant more flexibility in cap-and-trade policy for irrigation water conservation? A case study in Mexico," 2021 Annual Meeting, August 1-3, Austin, Texas 314081, Agricultural and Applied Economics Association.
    11. Jongmin Yu & Seokjong Ryu, 2018. "Optimal Design of a Politically Feasible Environmental Regulation," Korean Economic Review, Korean Economic Association, vol. 34, pages 75-99.
    12. Richard S. J. Tol, 2021. "Europe’s Climate Target for 2050: An Assessment," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 56(6), pages 330-335, November.
    13. Fell, Harrison & Burtraw, Dallas & Morgenstern, Richard D. & Palmer, Karen L., 2012. "Soft and hard price collars in a cap-and-trade system: A comparative analysis," Journal of Environmental Economics and Management, Elsevier, vol. 64(2), pages 183-198.
    14. Richard S. J. Tol, 2023. "Costs And Benefits Of The Paris Climate Targets," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 14(04), pages 1-18, November.
    15. Mohammad Marufuzzaman & Sandra Duni Ekşioğlu & Rafael Hernandez, 2014. "Environmentally Friendly Supply Chain Planning and Design for Biodiesel Production via Wastewater Sludge," Transportation Science, INFORMS, vol. 48(4), pages 555-574, November.
    16. Shreekar Pradhan & J. Scott Holladay & Mohammed Mohsin & Shreekar Pradhan, 2015. "Environmental Policy Instruments and Uncertainties Under Free Trade and Capital Mobility," EcoMod2015 8102, EcoMod.
    17. Li, Xiaohong & Yang, Dong & Hu, Mengqi, 2018. "A scenario-based stochastic programming approach for the product configuration problem under uncertainties and carbon emission regulations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 126-146.
    18. Thomas D. Jeitschko & Pallavi Pal, 2021. "Curbing Price Fluctuations in Cap-and-Trade Auctions," CESifo Working Paper Series 9266, CESifo.
    19. Stranlund, John K. & Moffitt, L. Joe, 2014. "Enforcement and price controls in emissions trading," Journal of Environmental Economics and Management, Elsevier, vol. 67(1), pages 20-38.
    20. Verónica Gutman, 2017. "Economics and Climate Change: An economic analysis of mitigation decisions in Latin America," Economía, Instituto de Investigaciones Económicas y Sociales (IIES). Facultad de Ciencias Económicas y Sociales. Universidad de Los Andes. Mérida, Venezuela, vol. 42(44), pages 11-36, july-dece.
    21. Shreekar Pradhan & S. Holladay & M. Mohsin, 2017. "Environmental Policy Instruments Response to Trade Shocks," EcoMod2017 10233, EcoMod.
    22. Polborn, Sarah, 2011. "The Political Economy of Carbon Securities and Environmental Policy," Working Papers 10-19, University of Aarhus, Aarhus School of Business, Department of Economics.
    23. Richard S.J. Tol, 2018. "Energy and Climate," Working Paper Series 1618, Department of Economics, University of Sussex Business School.

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