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Natural gas demand in Turkey

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  • Erdogdu, Erkan

Abstract

On average, energy demand of Turkey is mounting by 8% annually, one of the highest rates in the world. Among primary energy sources, natural gas is the fastest growing one in Turkey. Gas consumption started at 0.5Â bcm (billion cubic meters) in 1987 and reached approximately 35 bcm in 2007. Turkish natural gas usage is projected to further increase remarkably in coming years. The present paper focuses the characteristics of this demand and estimates short and long-run price and income elasticities of sectoral natural gas demand in Turkey. The future growth in this demand is also forecasted using an ARIMA modelling and the results are compared with official projections. The paper reveals that natural gas demand elasticities are quite low, meaning that consumers do not respond possible abusive price increases by decreasing their demand or substituting natural gas with other energy sources. Since consumers are prone to monopoly abuse by incumbent, there is a need for market regulation in Turkish natural gas market. Based on forecasts obtained, it is clear that the current official projections do not over/under-estimate natural gas demand although past official projections highly overestimated it.

Suggested Citation

  • Erdogdu, Erkan, 2010. "Natural gas demand in Turkey," Applied Energy, Elsevier, vol. 87(1), pages 211-219, January.
    • Handle: RePEc:eee:appene:v:87:y:2010:i:1:p:211-219
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    as
    1. N/A, 1991. "Chapter I. The Home Economy," National Institute Economic Review, National Institute of Economic and Social Research, vol. 136(1), pages 10-33, May.
    2. Ediger, Volkan S. & Camdali, Unal, 2007. "Energy and exergy efficiencies in Turkish transportation sector, 1988-2004," Energy Policy, Elsevier, vol. 35(2), pages 1238-1244, February.
    3. Erdogdu, Erkan, 2002. "Turkey and Europe: Undivided but not united," MPRA Paper 26928, University Library of Munich, Germany.
    4. Kouris, George, 1981. "Elasticities - science or fiction?," Energy Economics, Elsevier, vol. 3(2), pages 66-70, April.
    5. -, 1991. "Economic survey of the United States, 1990," Oficina de la CEPAL en Washington (Estudios e Investigaciones) 28888, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    6. Ünler, Alper, 2008. "Improvement of energy demand forecasts using swarm intelligence: The case of Turkey with projections to 2025," Energy Policy, Elsevier, vol. 36(6), pages 1937-1944, June.
    7. Rudolf Wolffram, 1971. "Positivistic Measures of Aggregate Supply Elasticities: Some New Approaches—Some Critical Notes," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 53(2), pages 356-359.
    8. Bruce Traill & David Colman & Trevor Young, 1978. "Estimating Irreversible Supply Functions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 60(3), pages 528-531.
    9. Drollas, Leonidas P., 1984. "The demand for gasoline : Further evidence," Energy Economics, Elsevier, vol. 6(1), pages 71-82, January.
    10. Ediger, Volkan S. & Akar, Sertac, 2007. "ARIMA forecasting of primary energy demand by fuel in Turkey," Energy Policy, Elsevier, vol. 35(3), pages 1701-1708, March.
    11. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    12. Ryan, David L. & Plourde, Andre, 2002. "Smaller and smaller? The price responsiveness of nontransport oil demand," The Quarterly Review of Economics and Finance, Elsevier, vol. 42(2), pages 285-317.
    13. Haldenbilen, Soner & Ceylan, Halim, 2005. "Genetic algorithm approach to estimate transport energy demand in Turkey," Energy Policy, Elsevier, vol. 33(1), pages 89-98, January.
    14. Haas, Reinhard & Schipper, Lee, 1998. "Residential energy demand in OECD-countries and the role of irreversible efficiency improvements," Energy Economics, Elsevier, vol. 20(4), pages 421-442, September.
    15. Erdogdu, Erkan, 2007. "Electricity demand analysis using cointegration and ARIMA modelling: A case study of Turkey," Energy Policy, Elsevier, vol. 35(2), pages 1129-1146, February.
    16. N/A, 1991. "Chapter I. The Home Economy," National Institute Economic Review, National Institute of Economic and Social Research, vol. 135(1), pages 9-26, February.
    17. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    18. Ozturk, Harun Kemal & Ceylan, Halim & Canyurt, Olcay Ersel & Hepbasli, Arif, 2005. "Electricity estimation using genetic algorithm approach: a case study of Turkey," Energy, Elsevier, vol. 30(7), pages 1003-1012.
    19. Robert S. Pindyck, 1979. "The Structure of World Energy Demand," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262661772, April.
    20. -, 1991. "Macro-economic model of Jamaica," Sede de la CEPAL en Santiago (Estudios e Investigaciones) 29868, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    21. Akay, Diyar & Atak, Mehmet, 2007. "Grey prediction with rolling mechanism for electricity demand forecasting of Turkey," Energy, Elsevier, vol. 32(9), pages 1670-1675.
    22. -, 1991. "Evolución de la economía brasileña, 1991," Informe Estadístico – Oficina de la CEPAL en Brasilia 28069, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    23. Cimmyt, 1991. "CIMMYT Economics: An Agenda for the Future," Miscellaneous Reports 232171, CIMMYT: International Maize and Wheat Improvement Center.
    24. Dargay, Joyce & Gately, Dermot, 1995. "The imperfect price reversibility of non-transport oil demand in the OECD," Energy Economics, Elsevier, vol. 17(1), pages 59-71, January.
    25. Erdogdu, Erkan, 2007. "Nuclear power in open energy markets: A case study of Turkey," Energy Policy, Elsevier, vol. 35(5), pages 3061-3073, May.
    26. Kilic, A.M., 2006. "Turkey's natural gas necessity, consumption and future perspectives," Energy Policy, Elsevier, vol. 34(14), pages 1928-1934, September.
    27. Duran Toksari, M., 2007. "Ant colony optimization approach to estimate energy demand of Turkey," Energy Policy, Elsevier, vol. 35(8), pages 3984-3990, August.
    28. -, 1991. "Nota sobre la economía brasileña, 1990," Oficina de la CEPAL en Brasilia (Estudios e Investigaciones) 28327, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    29. Bentzen, Jan & Engsted, Tom, 1993. "Short- and long-run elasticities in energy demand : A cointegration approach," Energy Economics, Elsevier, vol. 15(1), pages 9-16, January.
    30. Utgikar, V.P. & Scott, J.P., 2006. "Energy forecasting: Predictions, reality and analysis of causes of error," Energy Policy, Elsevier, vol. 34(17), pages 3087-3092, November.
    31. N/A, 1991. "Chapter I. The Home Economy," National Institute Economic Review, National Institute of Economic and Social Research, vol. 137(1), pages 7-23, August.
    32. -, 1991. "International economic highlights 1990," Oficina de la CEPAL en Washington (Estudios e Investigaciones) 28929, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    33. Dahl, Carol & Sterner, Thomas, 1991. "Analysing gasoline demand elasticities: a survey," Energy Economics, Elsevier, vol. 13(3), pages 203-210, July.
    34. Dermot Gately, 1992. "Imperfect Price-Reversibility of U.S. Gasoline Demand: Asymmetric Responses to Price Increases and Declines," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 179-208.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Turkish natural gas demand Elasticity ARIMA modelling;

    JEL classification:

    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

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