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Heterogeneous welfare and emission effects of energy tax policies in Brazil

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  • Paula Pereda
  • Maria Alice Christofoletti

Abstract

The consolidation of the energy sector as one of the main emitters of greenhouse gases in Brazil is directly related to the expansion of fuel consumption in passenger and cargo transport and to the higher use of thermal power plants for electricity generation. This fact reflects a detachment from the historical renewable energy and biofuels production and goes against the global efforts to reduce GHG emissions. Our paper analyzes the short run emissions and distributional effects of energy price changes in a partial equilibrium framework. Our findings suggest that taxes and subsidies in fuel prices (oil and diesel, respectively) are progressive, but have positive impact on total household emissions due to substitution effects. Despite being regressive, changes in electricity price have large effects on household emissions due to the characteristics of electric energy supply in Brazil. More environment-friendly policies that subsidize ethanol have a small but positive effect on the economy and tend to reduce households emissions. However, large substitution effects - due to an increase in the demand for CO2eq intensive goods, such as commuting and transportation services - when also taxing oil do not offset the reduction in emissions caused by a lower ethanol price. Therefore, understanding who benefits from energy price taxes and subsidies and their welfare impacts policies are key to gaining public support for a greener energy matrix.

Suggested Citation

  • Paula Pereda & Maria Alice Christofoletti, 2019. "Heterogeneous welfare and emission effects of energy tax policies in Brazil," Working Papers, Department of Economics 2019_32, University of São Paulo (FEA-USP).
    • Handle: RePEc:spa:wpaper:2019wpecon32
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    1. Thomas, Brinda A. & Azevedo, Inês L., 2013. "Estimating direct and indirect rebound effects for U.S. households with input–output analysis Part 1: Theoretical framework," Ecological Economics, Elsevier, vol. 86(C), pages 199-210.
    2. Renner, Sebastian & Lay, Jann & Greve, Hannes, 2018. "Household welfare and CO2 emission impacts of energy and carbon taxes in Mexico," Energy Economics, Elsevier, vol. 72(C), pages 222-235.
    3. Kerkhof, Annemarie C. & Nonhebel, Sanderine & Moll, Henri C., 2009. "Relating the environmental impact of consumption to household expenditures: An input-output analysis," Ecological Economics, Elsevier, vol. 68(4), pages 1160-1170, February.
    4. Brannlund, Runar & Ghalwash, Tarek & Nordstrom, Jonas, 2007. "Increased energy efficiency and the rebound effect: Effects on consumption and emissions," Energy Economics, Elsevier, vol. 29(1), pages 1-17, January.
    5. Heien, Dale & Wessells, Cathy Roheim, 1990. "Demand Systems Estimation with Microdata: A Censored Regression Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(3), pages 365-371, July.
    6. Mr. David Coady & Ian W.H. Parry & Louis Sears & Baoping Shang, 2015. "How Large Are Global Energy Subsidies?," IMF Working Papers 2015/105, International Monetary Fund.
    7. Ole Boysen, 2016. "Food Demand Characteristics in Uganda: Estimation and Policy Relevance," South African Journal of Economics, Economic Society of South Africa, vol. 84(2), pages 260-293, June.
    8. J. Daniel Khazzoom, 1980. "Economic Implications of Mandated Efficiency in Standards for Household Appliances," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 21-40.
    9. Manuel Frondel and Colin Vance, 2013. "Re-Identifying the Rebound: What About Asymmetry?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    10. Kathleen Brooks & Jayson L. Lusk, 2010. "Stated and Revealed Preferences for Organic and Cloned Milk: Combining Choice Experiment and Scanner Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(4), pages 1229-1241.
    11. Golley, Jane & Meng, Xin, 2012. "Income inequality and carbon dioxide emissions: The case of Chinese urban households," Energy Economics, Elsevier, vol. 34(6), pages 1864-1872.
    12. Hendrik Schmitz and Reinhard Madlener, 2020. "Direct and Indirect Energy Rebound Effects in German Households: A Linearized Almost Ideal Demand System Approach," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5), pages 89-118.
    13. Federico Perali & Jean-Paul Chavas, 2000. "Estimation of Censored Demand Equations from Large Cross-Section Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 1022-1037.
    14. 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.
    15. Chitnis, Mona & Sorrell, Steve, 2015. "Living up to expectations: Estimating direct and indirect rebound effects for UK households," Energy Economics, Elsevier, vol. 52(S1), pages 100-116.
    16. Lucas W. Davis & Alan Fuchs & Paul J. Gertler, 2012. "Cash for Coolers," NBER Working Papers 18044, National Bureau of Economic Research, Inc.
    17. Dai, Hancheng & Masui, Toshihiko & Matsuoka, Yuzuru & Fujimori, Shinichiro, 2012. "The impacts of China’s household consumption expenditure patterns on energy demand and carbon emissions towards 2050," Energy Policy, Elsevier, vol. 50(C), pages 736-750.
    18. Dermot Gately & Hiliard G. Huntington, 2002. "The Asymmetric Effects of Changes in Price and Income on Energy and Oil Demand," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 19-55.
    19. Renner, Sebastian & Lay, Jann & Schleicher, Michael, 2017. "The Effects of Energy Price Changes: Heterogeneous Welfare Impacts, Energy Poverty, and CO2 Emissions in Indonesia," GIGA Working Papers 302, GIGA German Institute of Global and Area Studies.
    20. Mr. David Coady & Mr. Javier Arze del Granado, 2010. "The Unequal Benefits of Fuel Subsidies: A Review of Evidence for Developing Countries," IMF Working Papers 2010/202, International Monetary Fund.
    21. Hira, Anil & de Oliveira, Luiz Guilherme, 2009. "No substitute for oil? How Brazil developed its ethanol industry," Energy Policy, Elsevier, vol. 37(6), pages 2450-2456, June.
    22. William A Pizer & Steven Sexton, 2019. "The Distributional Impacts of Energy Taxes," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 13(1), pages 104-123.
    23. Lin, Boqiang & Liu, Xia, 2013. "Reform of refined oil product pricing mechanism and energy rebound effect for passenger transportation in China," Energy Policy, Elsevier, vol. 57(C), pages 329-337.
    24. Ouyang, Jinlong & Long, Enshen & Hokao, Kazunori, 2010. "Rebound effect in Chinese household energy efficiency and solution for mitigating it," Energy, Elsevier, vol. 35(12), pages 5269-5276.
    25. Florens Flues & Alastair Thomas, 2015. "The distributional effects of energy taxes," OECD Taxation Working Papers 23, OECD Publishing.
    26. Harberger, Arnold C, 1971. "Three Basic Postulates for Applied Welfare Economics: An Interpretive Essay," Journal of Economic Literature, American Economic Association, vol. 9(3), pages 785-797, September.
    27. Dufournaud, Christian M. & Quinn, John T. & Harrington, Joseph J., 1994. "An Applied General Equilibrium (AGE) analysis of a policy designed to reduce the household consumption of wood in the Sudan," Resource and Energy Economics, Elsevier, vol. 16(1), pages 67-90, March.
    28. Panagiotis Lazaridis, 2003. "Household meat demand in Greece: A demand systems approach using microdata," Agribusiness, John Wiley & Sons, Ltd., vol. 19(1), pages 43-59.
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    More about this item

    Keywords

    Energy policies; CO2eq emissions; households;
    All these keywords.

    JEL classification:

    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis

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