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Modelling demand for crude oil products in Spain

Author

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  • Pedregal, D.J.
  • Dejuán, O.
  • Gómez, N.
  • Tobarra, M.A.

Abstract

This paper develops an econometric model for the five most important crude oil products demand in Spain. The aim is the estimation of a range of elasticities of such demands that would serve as the basis for an applied general equilibrium model used for forecasting energy demand in a broader framework. The main distinctive features of the system with respect to previous literature are (i) it takes advantage of monthly information coming from very different information sources and (ii) multivariate unobserved components (UC) models are implemented allowing for a separate analysis of long- and short-run relations. UC models decompose time series into a number of unobserved though economic meaningful components mainly trend, seasonal and irregular. A module is added to such structure to take into account the influence of exogenous variables necessary to compute price, cross and income elasticities. Since all models implemented are multivariate in nature, the demand components are allowed to interact among them through the system noises (similar to a seemingly unrelated equations model). The results show unambiguously that the main factor driving demand is real income with prices having little impact on energy consumption.

Suggested Citation

  • Pedregal, D.J. & Dejuán, O. & Gómez, N. & Tobarra, M.A., 2009. "Modelling demand for crude oil products in Spain," Energy Policy, Elsevier, vol. 37(11), pages 4417-4427, November.
    • Handle: RePEc:eee:enepol:v:37:y:2009:i:11:p:4417-4427
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    as
    1. Lee, Chien-Chiang & Lee, Jun-De, 2009. "Income and CO2 emissions: Evidence from panel unit root and cointegration tests," Energy Policy, Elsevier, vol. 37(2), pages 413-423, February.
    2. Bhattacharyya, Subhes C. & Blake, Andon, 2009. "Domestic demand for petroleum products in MENA countries," Energy Policy, Elsevier, vol. 37(4), pages 1552-1560, April.
    3. Neri Salvadori (ed.), 2006. "Economic Growth and Distribution," Books, Edward Elgar Publishing, number 3798.
    4. Karanfil, Fatih, 2009. "How many times again will we examine the energy-income nexus using a limited range of traditional econometric tools?," Energy Policy, Elsevier, vol. 37(4), pages 1191-1194, April.
    5. repec:aen:journl:2002v23-04-a03 is not listed on IDEAS
    6. Neri Salvadori, 2004. "Economic growth and distribution: on the nature and causes of the wealth of nations," Economics Bulletin, AccessEcon, vol. 28(18), pages 1.
    7. Aalbers, Rob & van der Heijden, Eline & Potters, Jan & van Soest, Daan & Vollebergh, Herman, 2009. "Technology adoption subsidies: An experiment with managers," Energy Economics, Elsevier, vol. 31(3), pages 431-442, May.
    8. Zou, Gaolu & Chau, K.W., 2006. "Short- and long-run effects between oil consumption and economic growth in China," Energy Policy, Elsevier, vol. 34(18), pages 3644-3655, December.
    9. Gang Liu, 2004. "Estimating Energy Demand Elasticities for OECD Countries. A Dynamic Panel Data Approach," Discussion Papers 373, Statistics Norway, Research Department.
    10. Lenzen, Manfred & Wier, Mette & Cohen, Claude & Hayami, Hitoshi & Pachauri, Shonali & Schaeffer, Roberto, 2006. "A comparative multivariate analysis of household energy requirements in Australia, Brazil, Denmark, India and Japan," Energy, Elsevier, vol. 31(2), pages 181-207.
    11. Barrett, Mark & Lowe, Robert & Oreszczyn, Tadj & Steadman, Philip, 2008. "How to support growth with less energy," Energy Policy, Elsevier, vol. 36(12), pages 4592-4599, December.
    12. Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-375, November.
    13. repec:rre:publsh:v:33:y:2003:i:2:p:206-28 is not listed on IDEAS
    14. repec:aen:journl:2006v27-02-a06 is not listed on IDEAS
    15. Sun, J. W., 1998. "Changes in energy consumption and energy intensity: A complete decomposition model," Energy Economics, Elsevier, vol. 20(1), pages 85-100, February.
    16. Weber, Christopher L., 2009. "Measuring structural change and energy use: Decomposition of the US economy from 1997 to 2002," Energy Policy, Elsevier, vol. 37(4), pages 1561-1570, April.
    17. Andrew Harvey & Chia‐Hui Chung, 2000. "Estimating the underlying change in unemployment in the UK," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 163(3), pages 303-309.
    18. repec:aen:journl:1998v19-04-a04 is not listed on IDEAS
    19. Jarque, Carlos M. & Bera, Anil K., 1980. "Efficient tests for normality, homoscedasticity and serial independence of regression residuals," Economics Letters, Elsevier, vol. 6(3), pages 255-259.
    20. repec:aen:journl:2002v23-01-a02 is not listed on IDEAS
    21. repec:aen:journl:1999v20-02-a02 is not listed on IDEAS
    22. Ockwell, David G., 2008. "Energy and economic growth: Grounding our understanding in physical reality," Energy Policy, Elsevier, vol. 36(12), pages 4600-4604, December.
    23. Michael P. Clements & Ana Beatriz Galvão, 2007. "Macroeconomic Forecasting with Mixed Frequency Data: Forecasting US Output Growth," Working Papers 616, Queen Mary University of London, School of Economics and Finance.
    24. Liu, H & Hall, Stephen G, 2001. "Creating High-Frequency National Accounts with State-Space Modelling: A Monte Carlo Experiment," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 20(6), pages 441-449, September.
    25. Kamerschen, David R. & Porter, David V., 2004. "The demand for residential, industrial and total electricity, 1973-1998," Energy Economics, Elsevier, vol. 26(1), pages 87-100, January.
    26. Dees, Stephane & Karadeloglou, Pavlos & Kaufmann, Robert K. & Sanchez, Marcelo, 2007. "Modelling the world oil market: Assessment of a quarterly econometric model," Energy Policy, Elsevier, vol. 35(1), pages 178-191, January.
    Full references (including those not matched with items on IDEAS)

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    3. Tehreem Fatima & Enjun Xia & Muhammad Ahad, 2019. "Oil demand forecasting for China: a fresh evidence from structural time series analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(3), pages 1205-1224, June.
    4. Mensah, Justice Tei & Marbuah, George & Amoah, Anthony, 2016. "Energy demand in Ghana: A disaggregated analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 924-935.
    5. Gechert, Sebastian & Mey, Bianka & Prante, Franz & Schäfer, Teresa, 2025. "The Price Elasticity of Heating and Cooling Energy Demand," OSF Preprints 4sjy5_v2, Center for Open Science.
    6. Suganthi, L. & Samuel, Anand A., 2012. "Energy models for demand forecasting—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1223-1240.
    7. Yousaf Raza, Muhammad & Lin, Boqiang, 2021. "Oil for Pakistan: What are the main factors affecting the oil import?," Energy, Elsevier, vol. 237(C).
    8. George Marbuah, 2017. "Understanding crude oil import demand behaviour in Africa: The Ghana case," Journal of African Trade, Springer, vol. 4(1), pages 75-87, March.
    9. Shao, Zhen & Chao, Fu & Yang, Shan-Lin & Zhou, Kai-Le, 2017. "A review of the decomposition methodology for extracting and identifying the fluctuation characteristics in electricity demand forecasting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 123-136.
    10. Wadud, Zia, 2016. "Diesel demand in the road freight sector in the UK: Estimates for different vehicle types," Applied Energy, Elsevier, vol. 165(C), pages 849-857.
    11. Aliyu Barde Abdullahi, 2014. "Modeling Petroleum Product Demand in Nigeria Using Structural Time Series Model (STSM) Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 4(3), pages 427-441.
    12. Barla, Philippe & Gilbert-Gonthier, Mathieu & Kuelah, Jean-René Tagne, 2014. "The demand for road diesel in Canada," Energy Economics, Elsevier, vol. 43(C), pages 316-322.
    13. Rajesh Sharma & Pradeep Kautish & D. Suresh Kumar, 2021. "Assessing Dynamism of Crude Oil Demand in Middle-Income Countries of South Asia: A Panel Data Investigation," Global Business Review, International Management Institute, vol. 22(1), pages 169-183, February.
    14. Marbuah, George, 2014. "Understanding crude oil import demand behaviour in Ghana," MPRA Paper 60436, University Library of Munich, Germany.
    15. Yusof, Ahmad & Raman, Maznah & Nopiah, Zulkifli, 2013. "Modeling of the Malaysian Crude Oil System," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 47(1), pages 125-130.
    16. Kuckshinrichs, Wilhelm & Kronenberg, Tobias & Hansen, Patrick, 2010. "The social return on investment in the energy efficiency of buildings in Germany," Energy Policy, Elsevier, vol. 38(8), pages 4317-4329, August.

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