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Estimating welfare aspects of changes in energy prices from preference heterogeneity

  • Pashardes, Panos
  • Pashourtidou, Nicoletta
  • Zachariadis, Theodoros

The European Union's energy and climate policy package is expected to cause an increase in end-user prices of electricity and fuels. This paper assesses the distributional effects of these price increases in Cyprus by specifying and estimating a consumer demand system with price heterogeneity between households. This novel method allows obtaining robust parameter estimates even when household expenditure surveys are limited, as is the case in many European countries. The empirical analysis is conducted both conditional on energy-related household characteristics and unconditionally. We then use the estimated demand system to conduct welfare analysis. We find that the rise in energy prices results in welfare losses of EUR 101 per household (in 2009 prices) in year 2020, or a nationwide welfare loss of more than EUR'2009 33 million. Price increases will be regressive and will affect small and urban households more strongly than the rest of the population. Furthermore, we find that the largest proportion of welfare loss is due to loss of household's income purchasing power caused by higher energy prices, while the changes in relative prices induce deadweight loss which is a small part of welfare loss because of the limited substitutability of energy with other goods.

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Article provided by Elsevier in its journal Energy Economics.

Volume (Year): 42 (2014)
Issue (Month): C ()
Pages: 58-66

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Handle: RePEc:eee:eneeco:v:42:y:2014:i:c:p:58-66
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  1. Tim Callan & Sean Lyons & Sue Scott & Richard S. J. Tol & Stefano Verde, 2008. "The Distributional Implications of a Carbon Tax in Ireland," Papers WP250, Economic and Social Research Institute (ESRI).
  2. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-54, July.
  3. Speck, Stefan, 1999. "Energy and carbon taxes and their distributional implications," Energy Policy, Elsevier, vol. 27(11), pages 659-667, October.
  4. 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.
  5. Brannlund, Runar & Nordstrom, Jonas, 2004. "Carbon tax simulations using a household demand model," European Economic Review, Elsevier, vol. 48(1), pages 211-233, February.
  6. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
  7. Böhringer, Christoph & Rutherford, Thomas F. & Tol, Richard S. J., 2009. "The EU 20/20/2020 Targets: An Overview of the EMF22 Assessment," Papers WP325, Economic and Social Research Institute (ESRI).
  8. Blundell, Richard & Pashardes, Panos & Weber, Guglielmo, 1993. "What Do We Learn About Consumer Demand Patterns from Micro Data?," American Economic Review, American Economic Association, vol. 83(3), pages 570-97, June.
  9. Lewbel, Arthur, 1989. "Household equivalence scales and welfare comparisons," Journal of Public Economics, Elsevier, vol. 39(3), pages 377-391, August.
  10. Don Fullerton, 2010. "Six Distributional Effects of Environmental Policy," CESifo Working Paper Series 3299, CESifo Group Munich.
  11. Panayiota Lyssiotou & Panos Pashardes & Thanasis Stengos, 2001. "Nesting Quadratic Logarithmic Demand Systems," University of Cyprus Working Papers in Economics 0201, University of Cyprus Department of Economics.
  12. Lewbel, Arthur, 1990. "Full Rank Demand Systems," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 31(2), pages 289-300, May.
  13. Pashardes, Panos, 1995. "Equivalence scales in a rank-3 demand system," Journal of Public Economics, Elsevier, vol. 58(1), pages 143-158, September.
  14. Xavier Labandeira & José M. Labeaga & Miguel Rodríguez, 2006. "A Residential Energy Demand System for Spain," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 87-112.
  15. Andrew M. Jones & José M. Labeaga, 2003. "Individual heterogeneity and censoring in panel data estimates of tobacco expenditure," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(2), pages 157-177.
  16. Lewbel, Arthur, 1989. "Identification and Estimation of Equivalence Scales under Weak Separability," Review of Economic Studies, Wiley Blackwell, vol. 56(2), pages 311-16, April.
  17. Simon Dresner & Paul Ekins, 2006. "Economic instruments to improve UK home energy efficiency without negative social impacts," Fiscal Studies, Institute for Fiscal Studies, vol. 27(1), pages 47-74, March.
  18. Wier, Mette & Birr-Pedersen, Katja & Jacobsen, Henrik Klinge & Klok, Jacob, 2005. "Are CO2 taxes regressive? Evidence from the Danish experience," Ecological Economics, Elsevier, vol. 52(2), pages 239-251, January.
  19. Kerkhof, Annemarie C. & Moll, Henri C. & Drissen, Eric & Wilting, Harry C., 2008. "Taxation of multiple greenhouse gases and the effects on income distribution: A case study of the Netherlands," Ecological Economics, Elsevier, vol. 67(2), pages 318-326, September.
  20. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
  21. Capros, Pantelis & Mantzos, Leonidas & Parousos, Leonidas & Tasios, Nikolaos & Klaassen, Ger & Van Ierland, Tom, 2011. "Analysis of the EU policy package on climate change and renewables," Energy Policy, Elsevier, vol. 39(3), pages 1476-1485, March.
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