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How effective is carbon taxation on residential heating demand? A household-level analysis

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  • Ott, Laurent
  • Weber, Sylvain

Abstract

This paper investigates the impact of the Swiss CO2 levy on households' heating demand. Using a difference-in-differences approach combined with inverse probability of treatment weighting, we test whether the 2016 and 2018 carbon tax rate increases had a short-run impact on Swiss households' heating and hot water expenditures—i.e. a proxy for heating consumption. Micro-level data from the Swiss Household Energy Demand Survey are used to estimate the models. Our regression analysis shows that heating consumption decreases with time for all households, but it does not detect any clear short-run impact of the CO2 levy on fossil fuel users in comparison to non-fossil fuel users. We nevertheless find that many factors significantly affect heating consumption, such as setting the thermostat at a lower temperature. Even though further research is needed regarding possible long-run impacts, our findings challenge the relevance of this policy instrument under its current form to lower households’ CO2 emissions. Considering that its rate is regularly increased based on short-run emission targets, households may have too little time to adapt. The tax design might thus need to be revised to take into account the slow reaction time.

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  • Ott, Laurent & Weber, Sylvain, 2022. "How effective is carbon taxation on residential heating demand? A household-level analysis," Energy Policy, Elsevier, vol. 160(C).
  • Handle: RePEc:eee:enepol:v:160:y:2022:i:c:s0301421521005632
    DOI: 10.1016/j.enpol.2021.112698
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    as
    1. Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "A meta-analysis on the price elasticity of energy demand," Energy Policy, Elsevier, vol. 102(C), pages 549-568.
    2. Callan, Tim & Lyons, Sean & Scott, Susan & Tol, Richard S.J. & Verde, Stefano, 2009. "The distributional implications of a carbon tax in Ireland," Energy Policy, Elsevier, vol. 37(2), pages 407-412, February.
    3. Congdon, William J. & Kling, Jeffrey R. & Mullainathan, Sendhil, 2009. "Behavioral Economics and Tax Policy," National Tax Journal, National Tax Association;National Tax Journal, vol. 62(3), pages 375-386, September.
    4. Lechner, Michael, 2011. "The Estimation of Causal Effects by Difference-in-Difference Methods," Foundations and Trends(R) in Econometrics, now publishers, vol. 4(3), pages 165-224, November.
    5. Tim Kurz & Benjamin Gardner & Bas Verplanken & Charles Abraham, 2015. "Habitual behaviors or patterns of practice? Explaining and changing repetitive climate‐relevant actions," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 6(1), pages 113-128, January.
    6. Stern,Nicholas, 2007. "The Economics of Climate Change," Cambridge Books, Cambridge University Press, number 9780521700801, October.
    7. Raj Chetty & Adam Looney & Kory Kroft, 2009. "Salience and Taxation: Theory and Evidence," American Economic Review, American Economic Association, vol. 99(4), pages 1145-1177, September.
    8. Shanjun Li & Joshua Linn & Erich Muehlegger, 2014. "Gasoline Taxes and Consumer Behavior," American Economic Journal: Economic Policy, American Economic Association, vol. 6(4), pages 302-342, November.
    9. Baranzini, Andrea & Weber, Sylvain, 2013. "Elasticities of gasoline demand in Switzerland," Energy Policy, Elsevier, vol. 63(C), pages 674-680.
    10. Brounen, Dirk & Kok, Nils & Quigley, John M., 2012. "Residential energy use and conservation: Economics and demographics," European Economic Review, Elsevier, vol. 56(5), pages 931-945.
    11. Puhani, Patrick A., 2012. "The treatment effect, the cross difference, and the interaction term in nonlinear “difference-in-differences” models," Economics Letters, Elsevier, vol. 115(1), pages 85-87.
    12. Rivers, Nicholas & Schaufele, Brandon, 2015. "Salience of carbon taxes in the gasoline market," Journal of Environmental Economics and Management, Elsevier, vol. 74(C), pages 23-36.
    13. Gilbert E. Metcalf, 2021. "Carbon Taxes in Theory and Practice," Annual Review of Resource Economics, Annual Reviews, vol. 13(1), pages 245-265, October.
    14. Baumol, William J, 1972. "On Taxation and the Control of Externalities," American Economic Review, American Economic Association, vol. 62(3), pages 307-322, June.
    15. Beck, Marisa & Rivers, Nicholas & Wigle, Randall & Yonezawa, Hidemichi, 2015. "Carbon tax and revenue recycling: Impacts on households in British Columbia," Resource and Energy Economics, Elsevier, vol. 41(C), pages 40-69.
    16. Kenneth Gillingham, Matthew Harding, and David Rapson, 2012. "Split Incentives in Residential Energy Consumption," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    17. Murray, Brian & Rivers, Nicholas, 2015. "British Columbia’s revenue-neutral carbon tax: A review of the latest “grand experiment” in environmental policy," Energy Policy, Elsevier, vol. 86(C), pages 674-683.
    18. Martin, Ralf & de Preux, Laure B. & Wagner, Ulrich J., 2014. "The impact of a carbon tax on manufacturing: Evidence from microdata," Journal of Public Economics, Elsevier, vol. 117(C), pages 1-14.
    19. Nordhaus, William D., 1993. "Rolling the 'DICE': an optimal transition path for controlling greenhouse gases," Resource and Energy Economics, Elsevier, vol. 15(1), pages 27-50, March.
    20. Roberton C. Williams III & Hal Gordon & Dallas Burtraw & Jared C. Carbone & Richard D. Morgenstern, 2015. "The Initial Incidence of a Carbon Tax Across Income Groups," National Tax Journal, National Tax Association;National Tax Journal, vol. 68(1), pages 195-214, March.
    21. Hediger, Cécile & Farsi, Mehdi & Weber, Sylvain, 2018. "Turn It Up and Open the Window: On the Rebound Effects in Residential Heating," Ecological Economics, Elsevier, vol. 149(C), pages 21-39.
    22. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    23. Kosuke Imai & Marc Ratkovic, 2014. "Covariate balancing propensity score," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 76(1), pages 243-263, January.
    24. Maral Kichian, 2018. "Carbon Tax Saliency: The Case of B.C. Diesel Demand," Cahiers de recherche CREATE 2018-01, CREATE.
    25. Eoin Ó Broin & Jonas Nässén & Filip Johnsson, 2015. "The influence of price and non-price effects on demand for heating in the EU residential sector," Post-Print hal-01219278, HAL.
    26. Ó Broin, Eoin & Nässén, Jonas & Johnsson, Filip, 2015. "The influence of price and non-price effects on demand for heating in the EU residential sector," Energy, Elsevier, vol. 81(C), pages 146-158.
    27. Romano, Joseph P. & Wolf, Michael, 2017. "Resurrecting weighted least squares," Journal of Econometrics, Elsevier, vol. 197(1), pages 1-19.
    28. Chad Lawley and Vincent Thivierge, 2018. "Refining the evidence: British Columbias carbon tax and household gasoline consumption," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    29. Lin, Boqiang & Li, Xuehui, 2011. "The effect of carbon tax on per capita CO2 emissions," Energy Policy, Elsevier, vol. 39(9), pages 5137-5146, September.
    30. Bernard, Jean-Thomas & Kichian, Maral, 2019. "The long and short run effects of British Columbia's carbon tax on diesel demand," Energy Policy, Elsevier, vol. 131(C), pages 380-389.
    31. Narula, Kapil & Chambers, Jonathan & Streicher, Kai N. & Patel, Martin K., 2019. "Strategies for decarbonising the Swiss heating system," Energy, Elsevier, vol. 169(C), pages 1119-1131.
    32. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881, October.
    33. Tiezzi, Silvia, 2005. "The welfare effects and the distributive impact of carbon taxation on Italian households," Energy Policy, Elsevier, vol. 33(12), pages 1597-1612, August.
    34. Xiang, Di & Lawley, Chad, 2019. "The impact of British Columbia's carbon tax on residential natural gas consumption," Energy Economics, Elsevier, vol. 80(C), pages 206-218.
    35. Julius J. Andersson, 2019. "Carbon Taxes and CO2 Emissions: Sweden as a Case Study," American Economic Journal: Economic Policy, American Economic Association, vol. 11(4), pages 1-30, November.
    36. Sylvain Weber & Paul Burger & Mehdi Farsi & Adan L. Martinez-Cruz & Michael Puntiroli & Iljana Schubert & Benjamin Volland, 2017. "Swiss Household Energy Demand Survey (SHEDS): Objectives, design, and implementation," IRENE Working Papers 17-14, IRENE Institute of Economic Research.
    37. Xavier Labandeira & José M. Labeaga, 1999. "Combining input-output analysis and micro-simulation to assess the effects of carbon taxation on Spanish households," Fiscal Studies, Institute for Fiscal Studies, vol. 20(3), pages 305-320, September.
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    5. Davor Končalović & Jelena Nikolic & Vladimir Vukasinovic & Dušan Gordić & Dubravka Živković, 2022. "Possibilities for Deep Renovation in Multi-Apartment Buildings in Different Economic Conditions in Europe," Energies, MDPI, vol. 15(8), pages 1-15, April.

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    More about this item

    Keywords

    Carbon tax; Energy consumption; Fossil fuel; Policy evaluation; Inverse probability of treatment weighting; Difference-in-differences;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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