IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v38y2010i8p3898-3909.html
   My bibliography  Save this article

Price and income elasticities of demand for passenger transport fuels in Spain. Implications for public policies

Author

Listed:
  • Romero-Jordán, Desiderio
  • del Río, Pablo
  • Jorge-García, Marta
  • Burguillo, Mercedes

Abstract

The significant increase in passenger transport activity (cars) experienced by Spain and its associated increase in energy consumption have several associated negative aspects, including a greater dependence on foreign energy sources and higher GHG emissions. Therefore, reducing the level of transport activity would bring important socioeconomic and environmental benefits. The aim of this paper, which focuses on energy consumption in the passenger transport, is fourfold: (1) to provide a diagnostic of energy consumption in the Spanish passenger transport system and the related problems; (2) to develop a model to calculate price and income elasticities of demand for transport fuel; (3) to apply this model to the Spanish passenger transport sector; (4) to infer policy recommendations derived from the results of the diagnostic and the model. It is claimed that, in view of those low price elasticities and high income elasticities and if a reduction in the scale of transport activity is deemed socially desirable, a combination of instruments is necessary. Fuel taxes play an important role within this combination. Apart from their long-term effects, the low price elasticity of demand for transport fuel would allow the collection of a significant amount of revenues, which could eventually be earmarked to encourage reductions in private transport demand and modal shifts with other instruments.

Suggested Citation

  • Romero-Jordán, Desiderio & del Río, Pablo & Jorge-García, Marta & Burguillo, Mercedes, 2010. "Price and income elasticities of demand for passenger transport fuels in Spain. Implications for public policies," Energy Policy, Elsevier, vol. 38(8), pages 3898-3909, August.
  • Handle: RePEc:eee:enepol:v:38:y:2010:i:8:p:3898-3909
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301-4215(10)00173-4
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Espey, Molly, 1998. "Gasoline demand revisited: an international meta-analysis of elasticities," Energy Economics, Elsevier, vol. 20(3), pages 273-295, June.
    2. Xavier Labandeira Villot & Ángel López Nicolás, 2002. "La imposición de los carburantes de automoción en España: Algunas observaciones teóricas y empíricas," Hacienda Pública Española / Review of Public Economics, IEF, vol. 160(1), pages 177-210, march.
    3. Giancarlo Moschini & Karl D. Meilke, 1989. "Modeling the Pattern of Structural Change in U.S. Meat Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(2), pages 253-261.
    4. Fullerton, Don & West, Sarah E., 2002. "Can Taxes on Cars and on Gasoline Mimic an Unavailable Tax on Emissions?," Journal of Environmental Economics and Management, Elsevier, vol. 43(1), pages 135-157, January.
    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. Daniel J. Graham & Stephen Glaister, 2002. "The Demand for Automobile Fuel: A Survey of Elasticities," Journal of Transport Economics and Policy, University of Bath, vol. 36(1), pages 1-25, January.
    7. Laurent Calvet & Etienne Comon, 2003. "Behavioral Heterogeneity and the Income Effect," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 653-669, August.
    8. Pollak, Robert A & Wales, Terence J, 1981. "Demographic Variables in Demand Analysis," Econometrica, Econometric Society, vol. 49(6), pages 1533-1551, November.
    9. Jean Agras & Duane Chapman, 1999. "The Kyoto Protocol, Cafe Standards, And Gasoline Taxes," Contemporary Economic Policy, Western Economic Association International, vol. 17(3), pages 296-308, July.
    10. Blanciforti, Laura Ann & Green, Richard D. & King, Gordon A., 1986. "U.S. Consumer Behavior over the Postwar Period: An Almost Ideal Demand System Analysis," Monographs, University of California, Davis, Giannini Foundation, number 11939, December.
    11. Costas Meghir & Jean-Marc Robin, 1992. "Frequency of purchase and the estimation of demand systems," Post-Print hal-03393388, HAL.
    12. Pashardes, Panos, 1993. "Bias in Estimating the Almost Ideal Demand System with the Stone Index Approximation," Economic Journal, Royal Economic Society, vol. 103(419), pages 908-915, July.
    13. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    14. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    15. P. Y. Chen & M. M. Veeman, 1991. "An Almost Ideal Demand System Analysis for Meats with Habit Formation and Structural Change," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 39(2), pages 223-235, July.
    16. Meghir, Costas & Robin, Jean-Marc, 1992. "Frequency of purchase and the estimation of demand systems," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 53-85.
    17. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    18. Véronique Nichèle & J.M. Robin, 1995. "Simulation of indirect tax reforms using pooled micro and macro French data [Evaluation des effets budgétaires et redistributifs de réformes de la fiscalité indirecte française]," Post-Print hal-02699381, HAL.
    19. Baker, Paul & Blundell, Richard & Micklewright, John, 1989. "Modelling Household Energy Expenditures Using Micro-data," Economic Journal, Royal Economic Society, vol. 99(397), pages 720-738, September.
    20. Gordon Anderson & Richard Blundell, 1983. "Testing Restrictions in a Flexible Dynamic Demand System: An Application to Consumers' Expenditure in Canada," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 50(3), pages 397-410.
    21. Jonathan E. Hughes & Christopher R. Knittel & Daniel Sperling, 2008. "Evidence of a Shift in the Short-Run Price Elasticity of Gasoline Demand," The Energy Journal, International Association for Energy Economics, vol. 29(1), pages 113-134.
    22. Jose Labeaga & Angel Lopez, 1997. "A study of petrol consumption using Spanish panel data," Applied Economics, Taylor & Francis Journals, vol. 29(6), pages 795-802.
    23. Jonathan E. Hughes & Christopher R. Knittel & Daniel Sperling, 2008. "Evidence of a Shift in the Short-Run Price Elasticity of Gasoline Demand," The Energy Journal, International Association for Energy Economics, vol. 29(1), pages 113-134.
    24. Keen, Michael, 1986. "Zero Expenditures and the Estimation of Engel Curves," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(3), pages 277-286, July.
    25. Nichele, Veronique & Robin, Jean-Marc, 1995. "Simulation of indirect tax reforms using pooled micro and macro French data," Journal of Public Economics, Elsevier, vol. 56(2), pages 225-244, February.
    26. Stef Proost, 2008. "Full Account of the Costs and Benefits of Reducing CO2 Emissions in Transport," OECD/ITF Joint Transport Research Centre Discussion Papers 2008/3, OECD Publishing.
    27. Alston, Julian M & Foster, Kenneth A & Green, Richard D, 1994. "Estimating Elasticities with the Linear Approximate Almost Ideal Demand System: Some Monte Carlo Results," The Review of Economics and Statistics, MIT Press, vol. 76(2), pages 351-356, May.
    28. Kim Haden, 1990. "The Demand for Cigarettes in Japan," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(2), pages 446-450.
    29. 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.
    30. Kyrre Rickertsen, 1998. "The demand for food and beverages in Norway," Agricultural Economics, International Association of Agricultural Economists, vol. 18(1), pages 89-100, January.
    31. Desiderio Romero-Jordán & José Félix Sanz-Sanz, 2009. "Energy Taxes and Household Compliance with the Kyoto Protocol," Public Finance Review, , vol. 37(2), pages 142-169, March.
    32. Innes, Robert, 1996. "Regulating Automobile Pollution under Certainty, Competition, and Imperfect Information," Journal of Environmental Economics and Management, Elsevier, vol. 31(2), pages 219-239, September.
    33. Abdulai, Awudu & Aubert, Dominique, 2004. "A cross-section analysis of household demand for food and nutrients in Tanzania," Agricultural Economics, Blackwell, vol. 31(1), pages 67-79, July.
    34. Blanciforti, Laura & Green, Richard, 1983. "An Almost Ideal Demand System Incorporating Habits: An Analysis of Expenditures on Food and Aggregate Commodity Groups," The Review of Economics and Statistics, MIT Press, vol. 65(3), pages 511-515, August.
    35. Greene, David L. & Patterson, Philip D. & Singh, Margaret & Li, Jia, 2005. "Feebates, rebates and gas-guzzler taxes: a study of incentives for increased fuel economy," Energy Policy, Elsevier, vol. 33(6), pages 757-775, April.
    36. Greene, David L. & Patterson, Philip D. & Singh, Margaret & Li, Jia, 2005. "Corrigendum to "Feebates, rebates and gas-guzzler taxes: a study of incentives for increased fuel economy" [Energy Policy 33 (2005) 757-775]," Energy Policy, Elsevier, vol. 33(14), pages 1901-1902, September.
    37. Halvorsen, Bente & Larsen, Bodil M., 2001. "The flexibility of household electricity demand over time," Resource and Energy Economics, Elsevier, vol. 23(1), pages 1-18, January.
    38. Karen E. Dynan, 2000. "Habit Formation in Consumer Preferences: Evidence from Panel Data," American Economic Review, American Economic Association, vol. 90(3), pages 391-406, June.
    39. Richard Green & Julian M. Alston, 1990. "Elasticities in AIDS Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(2), pages 442-445.
    40. Véronique Nichèle & Jean-Marc Robin, 1995. "Simulation of indirect tax reforms using pooled micro and macro French data," Post-Print hal-03587618, HAL.
    41. Filippini, Massimo, 1995. "Electricity demand by time of use An application of the household AIDS model," Energy Economics, Elsevier, vol. 17(3), pages 197-204, July.
    42. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    43. Hondroyiannis, George, 2004. "Estimating residential demand for electricity in Greece," Energy Economics, Elsevier, vol. 26(3), pages 319-334, May.
    44. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    45. Richard Green & Julian M. Alston, 1991. "Elasticities in AIDS Models: A Clarification and Extension," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(3), pages 874-875.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bakhat, Mohcine & Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "Elasticities of transport fuels at times of economic crisis: An empirical analysis for Spain," Energy Economics, Elsevier, vol. 68(S1), pages 66-80.
    2. José M. Labeaga & Xavier Labandeira & Xiral López-Otero, 2018. "Energy Tax Reform and Poverty Alleviation in Mexico," Working Papers 1801, Universidade de Vigo, Departamento de Economía Aplicada.
    3. Yang, Dujuan & Timmermans, Harry, 2013. "Analysis of influence of fuel price on individual activity-travel time expenditure," Transport Policy, Elsevier, vol. 30(C), pages 40-55.
    4. Li, Tao & Trani, Antonio A., 2014. "A model to forecast airport-level General Aviation demand," Journal of Air Transport Management, Elsevier, vol. 40(C), pages 192-206.
    5. Joze Mencinger, 2010. "Excise Tax Policy and Cross-Border Purchases of Automotive Fuels," DANUBE: Law and Economics Review, European Association Comenius - EACO, issue 4, pages 5-29, December.
    6. Salisu, Afees A. & Ayinde, Taofeek O., 2016. "Modeling energy demand: Some emerging issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1470-1480.
    7. Adom, Philip Kofi & Amakye, Kwaku & Barnor, Charles & Quartey, George & Bekoe, William, 2016. "Shift in demand elasticities, road energy forecast and the persistence profile of shocks," Economic Modelling, Elsevier, vol. 55(C), pages 189-206.
    8. Burguillo, Mercedes & Romero-Jordán, Desiderio & Sanz-Sanz, José Félix, 2017. "The new public transport pricing in Madrid Metropolitan Area: A welfare analysis," Research in Transportation Economics, Elsevier, vol. 62(C), pages 25-36.
    9. Hössinger, Reinhard & Link, Christoph & Sonntag, Axel & Stark, Juliane, 2017. "Estimating the price elasticity of fuel demand with stated preferences derived from a situational approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 154-171.
    10. Kotchofa, Pacem A., "undated". "Expenditure and Price Elasticities of Demand for Cowpeas in Northern Ghana. Implications for Public Policies," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259966, Agricultural and Applied Economics Association.
    11. Rosa M. González-Marrero & Rosa M. Lorenzo-Alegría & Gustavo A. Marrero, 2011. "Gasoline and Diesel Consumption for Road Transport in Spain: a Dynamic Panel Data Approach," Economic Reports 04-2011, FEDEA.
    12. Milioti, Christina P. & Karlaftis, Matthew G., 2014. "Estimating multimodal public transport mode shares in Athens, Greece," Journal of Transport Geography, Elsevier, vol. 34(C), pages 88-95.
    13. Shaw, Charles, 2020. "Econometric Analysis of Demand for Petrol in India, 1966-2019," MPRA Paper 104797, University Library of Munich, Germany.
    14. Andrea Kollmann & Friedrich Schneider, 2010. "Why Does Environmental Policy in Representative Democracies Tend to Be Inadequate? A Preliminary Public Choice Analysis," Sustainability, MDPI, vol. 2(12), pages 1-25, November.
    15. González, Rosa Marina & Marrero, Gustavo A., 2012. "Induced road traffic in Spanish regions: A dynamic panel data model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 435-445.
    16. Fontes, T. & Pereira, S.R., 2014. "Impact assessment of road fleet transitions on emissions: The case study of a medium European size country," Energy Policy, Elsevier, vol. 72(C), pages 175-185.
    17. David C Broadstock & Eleni Papathanasopoulou, 2013. "Gasoline demand in Greece: the importance of shifts in the underlying energy demand trend," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 141, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    18. Rosa M. Gonz lez-Marrero & Rosa M. Lorenzo-Alegr a & Gustavo A. Marrero, 2012. "A Dynamic Model for Road Gasoline and Diesel Consumption: An Application for Spanish Regions," International Journal of Energy Economics and Policy, Econjournals, vol. 2(4), pages 201-209.

    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. Pablo del Río & Desiderio Romero & Marta Jorge & Mercedes Burguillo, 2012. "Territorial differences for transport fuel demand in Spain: an econometric study," Chapters, in: Larry Kreiser & Ana Yábar Sterling & Pedro Herrera & Janet E. Milne & Hope Ashiabor (ed.), Green Taxation and Environmental Sustainability, chapter 4, pages 56-68, Edward Elgar Publishing.
    2. Toshinobu Matsuda, 2007. "Linearizing the inverse quadratic almost ideal demand system," Applied Economics, Taylor & Francis Journals, vol. 39(3), pages 381-396.
    3. Desiderio Romero-Jordán & José Félix Sanz-Sanz, 2009. "Energy Taxes and Household Compliance with the Kyoto Protocol," Public Finance Review, , vol. 37(2), pages 142-169, March.
    4. Eshagh Mansourkiaee, 2023. "Estimating energy demand elasticities for gas exporting countries: a dynamic panel data approach," SN Business & Economics, Springer, vol. 3(1), pages 1-28, January.
    5. Wen S. Chern & Kimiko Ishibashi & Kiyoshi Taniguchi & Yuki Tokoyama, 2002. "Analysis of Food Consumption Behavior by Japanese Households," Working Papers 02-06, Agricultural and Development Economics Division of the Food and Agriculture Organization of the United Nations (FAO - ESA).
    6. Kurt Kratena & Ina Meyer & Michael Wüger, 2009. "Ökonomische, technologische und soziodemographische Einflussfaktoren der Energienachfrage," WIFO Monatsberichte (monthly reports), WIFO, vol. 82(7), pages 525-538, July.
    7. Paul Cashin, 1991. "A Model Of The Disaggregated Demand For Meat In Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 35(3), pages 263-283, December.
    8. Arabatzis, Garyfallos & Klonaris, Stathis, 2009. "An analysis of Greek wood and wood product imports: Evidence from the linear quadratic aids," Forest Policy and Economics, Elsevier, vol. 11(4), pages 266-270, July.
    9. Wildner, Susanne, 2001. "Quantifizierung der Preis– und Ausgabenelastizitäten für Nahrungsmittel in Deutschland: Schätzung eines LA/AIDS," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 50(05), pages 1-11.
    10. Meyerhoefer, Chad D. & Ranney, Christine K. & Sahn, David E., 2003. "Consistent Estimation Of Longitudinal Censored Demand Systems: An Application To Transition Country Data," Working Papers 127252, Cornell University, Department of Applied Economics and Management.
    11. Ngui, Dianah & Mutua, John & Osiolo, Hellen & Aligula, Eric, 2011. "Household energy demand in Kenya: An application of the linear approximate almost ideal demand system (LA-AIDS)," Energy Policy, Elsevier, vol. 39(11), pages 7084-7094.
    12. Ken-ichi Mizobuchi & Hisashi Tanizaki, 2014. "On estimation of almost ideal demand system using moving blocks bootstrap and pairs bootstrap methods," Empirical Economics, Springer, vol. 47(4), pages 1221-1250, December.
    13. Richards, Timothy J. & Kagan, Albert & Gao, Xiaoming, 1997. "Factors Influencing Changes In Potato And Potato Substitute Demand," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 26(1), pages 1-15, April.
    14. Rosas-Flores, Jorge Alberto, 2017. "Elements for the development of public policies in the residential sector of Mexico based in the Energy Reform and the Energy Transition law," Energy Policy, Elsevier, vol. 104(C), pages 253-264.
    15. Li, Gang & Song, Haiyan & Witt, Stephen F., 2006. "Time varying parameter and fixed parameter linear AIDS: An application to tourism demand forecasting," International Journal of Forecasting, Elsevier, vol. 22(1), pages 57-71.
    16. Delgado, Miguel A & Miles, Daniel, 1997. "Household Characteristics and Consumption Behaviour: A Nonparametric Approach," Empirical Economics, Springer, vol. 22(3), pages 409-429.
    17. Bopape, Lesiba, 2006. "Heterogeneity of Household Food Expenditure Patterns in South Africa," 2006 Annual meeting, July 23-26, Long Beach, CA 21300, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    18. Melo, Patricia C. & Ramli, Ahmad Razi, 2014. "Estimating fuel demand elasticities to evaluate CO2 emissions: Panel data evidence for the Lisbon Metropolitan Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 30-46.
    19. De Zhou & Xiaohua Yu & Thomas Herzfeld, 2015. "Dynamic food demand in urban China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 7(1), pages 27-44, February.
    20. Allcott, Hunt & Mullainathan, Sendhil & Taubinsky, Dmitry, 2014. "Energy policy with externalities and internalities," Journal of Public Economics, Elsevier, vol. 112(C), pages 72-88.

    More about this item

    Keywords

    Transport Fuel AIDS model;

    Statistics

    Access and download statistics

    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:enepol:v:38:y:2010:i:8:p:3898-3909. 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/enpol .

    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.