IDEAS home Printed from https://ideas.repec.org/a/bas/econst/y2012i4p154-183.html
   My bibliography  Save this article

Empirical Analysis of Demand of Natural Gas by Households in Europe

Author

Listed:
  • Yuli Radev

Abstract

The article presents empirical analysis of demand of natural gas in 12 countries from European Union (EU), including Bulgaria, for the period 1989-2008. The ultimate goal is to assess the short-term and long-term elasticities of demand in different countries and in EU as a whole. These elasticities have to give a plausible picture of changing consumption of natural gas by the households and to allow determination and interpretation of the key indicator of the organization of gas sector – the relative price elasticity.

Suggested Citation

  • Yuli Radev, 2012. "Empirical Analysis of Demand of Natural Gas by Households in Europe," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 154-183.
    • Handle: RePEc:bas:econst:y:2012:i:4:p:154-183
    as

    Download full text from publisher

    File URL: http://www.ceeol.com/aspx/issuedetails.aspx?issueid=4b55b729-d3b8-47a8-acdd-6e310bf4836a&articleid=b8675ff7-b782-40fb-9b3d-50977f0fcc94#ab8675ff7-b782-40fb-9b3d-50977f0fcc94
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mohammed A. Al-Sahlawi, 1989. "The Demand for Natural Gas: A Survey of Price and Income Elasticities," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 77-90.
    2. Badi H. Baltagi & Georges Bresson & James M. Griffin & Alain Pirotte, 2003. "Homogeneous, heterogeneous or shrinkage estimators? Some empirical evidence from French regional gasoline consumption," Empirical Economics, Springer, vol. 28(4), pages 795-811, November.
    3. Robert S. Pindyck, 1979. "The Structure of World Energy Demand," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262661772, December.
    4. 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.
    5. Javier Estrada & Ole Fugleberg, 1989. "Price Elasticities of Natural Gas Demand in France and West Germany," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 77-90.
    6. Baltagi, Badi H. & Griffin, James M., 1997. "Pooled estimators vs. their heterogeneous counterparts in the context of dynamic demand for gasoline," Journal of Econometrics, Elsevier, vol. 77(2), pages 303-327, April.
    7. Maddala, G S, et al, 1997. "Estimation of Short-Run and Long-Run Elasticities of Energy Demand from Panel Data Using Shrinkage Estimators," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(1), pages 90-100, January.
    8. Vinod, H. D. & McCullough, B. D., 1994. "Bootstrapping demand and supply elasticities: The Indian case," Journal of Asian Economics, Elsevier, vol. 5(3), pages 367-379.
    9. Dixit, Avinash K., 1990. "Optimization in Economic Theory," OUP Catalogue, Oxford University Press, edition 2, number 9780198772101, Decembrie.
    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. Yuli Radev, 2014. "Natural gas trading in Europe in terms of market disequilibrium," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 3-18,19-33.

    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. 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.
    2. Bettina Becker & Stephen Hall, 2013. "Do R&D strategies in high-tech sectors differ from those in low-tech sectors? An alternative approach to testing the pooling assumption," Economic Change and Restructuring, Springer, vol. 46(2), pages 183-202, May.
    3. Payne, James E. & Loomis, David G. & Wilson, Renardo, 2011. "Residential Natural Gas Demand in Illinois: Evidence from the ARDL Bounds Testing Approach," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 41(2), pages 1-10.
    4. Andrea Orame, 2020. "The role of bank supply in the Italian credit market: evidence from a new regional survey," Temi di discussione (Economic working papers) 1279, Bank of Italy, Economic Research and International Relations Area.
    5. Lien, Kristin & Tveterås, Ragnar & Tveterås, Sigbjørn, 2009. "The structure of herring product demand in Russia," UiS Working Papers in Economics and Finance 2009/23, University of Stavanger.
    6. 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.
    7. Badi H. Baltagi, 2008. "Forecasting with panel data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(2), pages 153-173.
    8. Pock, Markus, 2007. "Gasoline and Diesel Demand in Europe: New Insights," Economics Series 202, Institute for Advanced Studies.
    9. Badi H. Baltagi, 2021. "Dynamic Panel Data Models," Springer Texts in Business and Economics, in: Econometric Analysis of Panel Data, edition 6, chapter 0, pages 187-228, Springer.
    10. Jobling, Andrew & Jamasb, Tooraj, 2017. "Price volatility and demand for oil: A comparative analysis of developed and developing countries," Economic Analysis and Policy, Elsevier, vol. 53(C), pages 96-113.
    11. Andersen, Trude Berg & Nilsen, Odd Bjarte & Tveteras, Ragnar, 2011. "How is demand for natural gas determined across European industrial sectors?," Energy Policy, Elsevier, vol. 39(9), pages 5499-5508, September.
    12. Burnett, J. Wesley & Bergstrom, John C. & Dorfman, Jeffrey H., 2013. "A spatial panel data approach to estimating U.S. state-level energy emissions," Energy Economics, Elsevier, vol. 40(C), pages 396-404.
    13. Foster, John & Wagner, Liam & Liebman, Ariel, 2015. "Modelling the Electricity and Natural Gas Sectors for the Future Grid: Developing Co-Optimisation Platforms for Market Redesign," MPRA Paper 70114, University Library of Munich, Germany.
    14. Alain Pirotte & Jean-Loup Madre, 2011. "Determinants of Urban Sprawl in France," Urban Studies, Urban Studies Journal Limited, vol. 48(13), pages 2865-2886, October.
    15. Pock, Markus, 2010. "Gasoline demand in Europe: New insights," Energy Economics, Elsevier, vol. 32(1), pages 54-62, January.
    16. Holz, Franziska & von Hirschhausen, Christian & Kemfert, Claudia, 2008. "A strategic model of European gas supply (GASMOD)," Energy Economics, Elsevier, vol. 30(3), pages 766-788, May.
    17. repec:zbw:bofitp:2010_015 is not listed on IDEAS
    18. Burke, Paul J. & Yang, Hewen, 2016. "The price and income elasticities of natural gas demand: International evidence," Energy Economics, Elsevier, vol. 59(C), pages 466-474.
    19. Ana-Maria Fuertes & Elena Kalotychou, 2004. "Forecasting sovereign default using panel models: A comparative analysis," Computing in Economics and Finance 2004 228, Society for Computational Economics.
    20. Federico M. Giesenow & Jakob de Haan, 2019. "The influence of government ideology on monetary policy: New cross‐country evidence based on dynamic heterogeneous panels," Economics and Politics, Wiley Blackwell, vol. 31(2), pages 216-239, July.
    21. Hendrik Schmitz & Reinhard Madlener, 2020. "Heterogeneity in price responsiveness for residential space heating in Germany," Empirical Economics, Springer, vol. 59(5), pages 2255-2281, November.

    More about this item

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • L95 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Gas Utilities; Pipelines; Water Utilities
    • R22 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Other Demand

    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:bas:econst:y:2012:i:4:p:154-183. 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: Diana Dimitrova (email available below). General contact details of provider: https://edirc.repec.org/data/ikbasbg.html .

    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.