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Permit price dynamics in the U.S. SO2 trading program: A cointegration approach

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  • Boutabba, Mohamed Amine
  • Beaumais, Olivier
  • Lardic, Sandrine

Abstract

The aim of this paper is to study empirically the determination and the dynamic behavior of the SO2 permit prices. Previous research focused on ex-post market price analysis without taking weather conditions into account. Therefore, this study attempts to fill a gap in the literature by providing new empirical evidence on the SO2 price evolution and its interactions with macroeconomic variables, microeconomic variables and climate variables. Using monthly data from January 1995 to December 2006, our estimation results indicate the existence of a long-term relationship between SO2 permit price, scrubbing costs, industrial production, and weather conditions. In the short run, SO2 permit price is affected by scrubbing costs, energy prices, and weather conditions. Policy makers and private investors could benefit from the findings of this study that provides useful information on the characteristics of the SO2 market and may plan their strategy.

Suggested Citation

  • Boutabba, Mohamed Amine & Beaumais, Olivier & Lardic, Sandrine, 2012. "Permit price dynamics in the U.S. SO2 trading program: A cointegration approach," Energy Economics, Elsevier, vol. 34(3), pages 714-722.
    • Handle: RePEc:eee:eneeco:v:34:y:2012:i:3:p:714-722
    DOI: 10.1016/j.eneco.2011.04.004
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    Cited by:

    1. Mohamed Amine Boutaba, 2009. "Investigating efficiency in the U.S sulfur dioxide permit market," Economics Bulletin, AccessEcon, vol. 29(2), pages 1308-1319.
    2. Bing Zhang & Yongliang Zhang, 2016. "Policy Conflicts and the Performance of Emissions Trading Markets: An Adaptive Agent-based Analysis," EEPSEA Research Report rr20160339, Economy and Environment Program for Southeast Asia (EEPSEA), revised Mar 2016.
    3. Evangelina Dardati & Julio Riutort, 2016. "Cap-and-Trade and Financial Constraints: Is Investment Independent of Permit Holdings?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 65(4), pages 841-864, December.
    4. Evangelina Dardati & Julio Riutort, 2013. "Financial Constraints and Investment: A Quasi-Experiment in the Electricity Sector," ILADES-UAH Working Papers inv293, Universidad Alberto Hurtado/School of Economics and Business.
    5. Li, Xu & Wu, Xiaole & Zhang, Fuqiang, 2015. "A method for analyzing pollution control policies: Application to SO2 emissions in China," Energy Economics, Elsevier, vol. 49(C), pages 451-459.
    6. Lin, Boqiang & Jiang, Zhujun & Zhang, Peng, 2011. "Allocation of sulphur dioxide allowance – An analysis based on a survey of power plants in Fujian province in China," Energy, Elsevier, vol. 36(5), pages 3120-3129.

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    More about this item

    Keywords

    SO2 emission permits; Price fundamentals;

    JEL classification:

    • Q52 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Pollution Control Adoption and Costs; Distributional Effects; Employment Effects
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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