IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v97y2021ics0140988320303637.html
   My bibliography  Save this article

How clean is “refined coal”? An empirical assessment of a billion-dollar tax credit

Author

Listed:
  • Prest, Brian C.
  • Krupnick, Alan

Abstract

US tax law provides nearly $1 billion annually in tax credits for “refined coal”, which is supposed to reduce local air pollution. Eligibility for the credit requires firms to demonstrate legally specified emissions reductions for three pollutants. Firms typically demonstrate eligibility through laboratory tests, but results from the lab can differ from those in practice. Using a nationally comprehensive boiler-level panel dataset, we find that emission reductions in practice are only about half of the levels required, and even then only arise when certain pollution controls are installed. We also show that the policy reduces social welfare, resulting in costs more than seven times the benefits, in part because of a “rebound” effect in which the subsidy increases coal use by extending the operational life of some coal plants. Because the tax credit is up for reauthorization in 2021, our work has immediate policy relevance.

Suggested Citation

  • Prest, Brian C. & Krupnick, Alan, 2021. "How clean is “refined coal”? An empirical assessment of a billion-dollar tax credit," Energy Economics, Elsevier, vol. 97(C).
  • Handle: RePEc:eee:eneeco:v:97:y:2021:i:c:s0140988320303637
    DOI: 10.1016/j.eneco.2020.105023
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988320303637
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2020.105023?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 search for a different version of it.

    References listed on IDEAS

    as
    1. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    2. Fiona Burlig & Christopher Knittel & David Rapson & Mar Reguant & Catherine Wolfram, 2020. "Machine Learning from Schools about Energy Efficiency," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 7(6), pages 1181-1217.
    3. Meredith Fowlie & Michael Greenstone & Catherine Wolfram, 2018. "Do Energy Efficiency Investments Deliver? Evidence from the Weatherization Assistance Program," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1597-1644.
    4. Sébastien Houde & Joseph E. Aldy, 2017. "Consumers' Response to State Energy Efficient Appliance Rebate Programs," American Economic Journal: Economic Policy, American Economic Association, vol. 9(4), pages 227-255, November.
    5. Fischer, Carolyn & Mao, Biao & Shawhan, Daniel, 2018. "Trade between mass- and rate-based regulatory regimes: Bad for emissions?," Energy Economics, Elsevier, vol. 73(C), pages 326-336.
    6. Ian Parry, 2002. "Tax Deductions and the Marginal Welfare Cost of Taxation," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 9(5), pages 531-552, September.
    7. Shawhan, Daniel L. & Picciano, Paul D., 2019. "Costs and benefits of saving unprofitable generators: A simulation case study for US coal and nuclear power plants," Energy Policy, Elsevier, vol. 124(C), pages 383-400.
    8. Lucas W. Davis & Alan Fuchs & Paul Gertler, 2014. "Cash for Coolers: Evaluating a Large-Scale Appliance Replacement Program in Mexico," American Economic Journal: Economic Policy, American Economic Association, vol. 6(4), pages 207-238, November.
    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. Singhal, Puja & Pahle, Michael & Kalkuhl, Matthias & Levesque, Antoine & Sommer, Stephan & Berneiser, Jessica, 2022. "Beyond good faith: Why evidence-based policy is necessary to decarbonize buildings cost-effectively in Germany," Energy Policy, Elsevier, vol. 169(C).
    2. Hancevic, Pedro I. & Sandoval, Hector H., 2022. "Low-income energy efficiency programs and energy consumption," Journal of Environmental Economics and Management, Elsevier, vol. 113(C).
    3. Joshua Blonz, 2019. "The Welfare Costs of Misaligned Incentives: Energy Inefficiency and the Principal-Agent Problem," Finance and Economics Discussion Series 2019-071, Board of Governors of the Federal Reserve System (U.S.).
    4. Yujie Xu & Vivian Loftness & Edson Severnini, 2021. "Using Machine Learning to Predict Retrofit Effects for a Commercial Building Portfolio," Energies, MDPI, vol. 14(14), pages 1-24, July.
    5. Chlond, Bettina & Goeschl, Timo & Kesternich, Martin, 2022. "More money or better procedures? Evidence from an energy efficiency assistance program," ZEW Discussion Papers 22-020, ZEW - Leibniz Centre for European Economic Research.
    6. Chlond, Bettina & Goeschl, Timo & Kesternich, Martin, 2022. "More money or better procedures? Evidence from an energy efficiency assistance program," Working Papers 0716, University of Heidelberg, Department of Economics.
    7. Lang, Ghislaine & Lanz, Bruno, 2022. "Climate policy without a price signal: Evidence on the implicit carbon price of energy efficiency in buildings," Journal of Environmental Economics and Management, Elsevier, vol. 111(C).
    8. Filippini, Massimo & Geissmann, Thomas & Karplus, Valerie J. & Zhang, Da, 2020. "The productivity impacts of energy efficiency programs in developing countries: Evidence from iron and steel firms in China," China Economic Review, Elsevier, vol. 59(C).
    9. Louis-Gaëtan Giraudet & Antoine Missemer, 2023. "The History of Energy Efficiency in Economics: Breakpoints and Regularities," Post-Print halshs-02301636, HAL.
    10. Schaufele, Brandon, 2021. "Lessons from a utility-sponsored revenue neutral electricity conservation program," Energy Policy, Elsevier, vol. 150(C).
    11. Davis, Lucas W. & Martinez, Sebastian & Taboada, Bibiana, 2020. "How effective is energy-efficient housing? Evidence from a field trial in Mexico," Journal of Development Economics, Elsevier, vol. 143(C).
    12. Louis-Gaëtan Giraudet & Sébastien Houde & Joseph Maher, 2018. "Moral Hazard and the Energy Efficiency Gap: Theory and Evidence," Working Papers hal-01420872, HAL.
    13. Chi L. Ta, 2021. "Theoretical and Empirical Evaluation of a Competitive Energy Rebate Program," CESifo Working Paper Series 8948, CESifo.
    14. Ta, Chi L., 2020. "Does Competition for Energy Conservation Rebates Work?," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304245, Agricultural and Applied Economics Association.
    15. Ben Gilbert & Jacob LaRiviere & Kevin Novan, 2019. "Additionality, Mistakes, and Energy Efficiency Investment," Working Papers 2019-01, Colorado School of Mines, Division of Economics and Business.
    16. Mathias Reynaert & James M. Sallee, 2016. "Corrective Policy and Goodhart's Law: The Case of Carbon Emissions from Automobiles," NBER Working Papers 22911, National Bureau of Economic Research, Inc.
    17. Aydın, Erdal & Brounen, Dirk & Ergün, Ahmet, 2023. "The rebound effect of solar panel adoption: Evidence from Dutch households," Energy Economics, Elsevier, vol. 120(C).
    18. Louis-Gaëtan Giraudet & Antoine Missemer, 2019. "The Economics of Energy Efficiency, a Historical Perspective," CIRED Working Papers halshs-02301636, HAL.
    19. Burlig, Fiona & Preonas, Louis & Woerman, Matt, 2020. "Panel data and experimental design," Journal of Development Economics, Elsevier, vol. 144(C).
    20. Myers, Erica, 2020. "Asymmetric information in residential rental markets: Implications for the energy efficiency gap," Journal of Public Economics, Elsevier, vol. 190(C).

    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:eee:eneeco:v:97:y:2021:i:c:s0140988320303637. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    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.