IDEAS home Printed from https://ideas.repec.org/p/ssb/dispap/559.html

Globalisation of natural gas markets - effects on prices and trade patterns

Author

Listed:

Abstract

The regional natural gas markets are expected to gradually become more integrated. The major driving forces are lower LNG costs, more spot trade, and increased need for imports into the US and other key markets. In this paper we examine various scenarios for a future global gas market, particularly focusing on natural gas prices and trade patterns. We use a numerical model of the international energy markets, with detailed modelling of regional gas production and international gas transport. Scenarios with different assumptions about future demand and supply conditions are simulated. Our results suggest that trade between continents will grow considerably over the next couple of decades, and that prices in the main import regions will remain around current levels. However, significant constraints on exports from the Middle East may alter this picture.

Suggested Citation

  • Finn Roar Aune & Knut Einar Rosendahl & Eirik Lund Sagen, 2008. "Globalisation of natural gas markets - effects on prices and trade patterns," Discussion Papers 559, Statistics Norway, Research Department.
    • Handle: RePEc:ssb:dispap:559
    as

    Download full text from publisher

    File URL: https://www.ssb.no/a/publikasjoner/pdf/DP/dp559.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Gabriel, Steven A. & Zhuang, Jifang & Kiet, Supat, 2005. "A large-scale linear complementarity model of the North American natural gas market," Energy Economics, Elsevier, vol. 27(4), pages 639-665, July.
    2. repec:aen:journl:2008v29-03-a03 is not listed on IDEAS
    3. repec:aen:journl:2007v28-01-a01 is not listed on IDEAS
    4. Siliverstovs, Boriss & L'Hegaret, Guillaume & Neumann, Anne & von Hirschhausen, Christian, 2005. "International market integration for natural gas? A cointegration analysis of prices in Europe, North America and Japan," Energy Economics, Elsevier, vol. 27(4), pages 603-615, July.
    5. Sagen, Eirik Lund & Tsygankova, Marina, 2008. "Russian natural gas exports--Will Russian gas price reforms improve the European security of supply," Energy Policy, Elsevier, vol. 36(2), pages 867-880, February.
    6. MacAvoy, Paul W. & Moshkin, Nickolay V., 2000. "The new long-term trend in the price of natural gas," Resource and Energy Economics, Elsevier, vol. 22(4), pages 315-338, October.
    7. Egging, Rudolf G. & Gabriel, Steven A., 2006. "Examining market power in the European natural gas market," Energy Policy, Elsevier, vol. 34(17), pages 2762-2778, November.
    8. Knut Einar Rosendahl & Eirik Lund Sagen, 2009. "The Global Natural Gas Market: Will Transport Cost Reductions Lead to Lower Prices?," The Energy Journal, , vol. 30(2), pages 17-40, April.
    9. repec:aen:journl:2009v30-02-a02 is not listed on IDEAS
    10. Finn Roar Aune & Solveig Glomsrød & Lars Lindholt & Knut Einar Rosendahl, 2005. "Are high oil prices profitable for OPEC in the long run?," Discussion Papers 416, Statistics Norway, Research Department.
    11. repec:aen:journl:1998v19-03-a01 is not listed on IDEAS
    12. repec:aen:journl:2004v25-03-a05 is not listed on IDEAS
    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. Youngho Chang & Dang Thi Quynh Trang & Tsiat Siong Tan & Farhad Taghizadeh-Hesary, 2021. "Competition and cooperation in the natural gas market: a game-theoretic demand-base analysis," Asia Europe Journal, Springer, vol. 19(1), pages 21-49, December.
    2. Qian, Jingye & Marín Díazaraque, Juan Miguel & Veiga, Helena, 2026. "A VAR with Threshold Stochastic Volatility for State-Dependent Climate–Energy–Industry Dynamics," DES - Working Papers. Statistics and Econometrics. WS 49327, Universidad Carlos III de Madrid. Departamento de Estadística.

    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. Knut Einar Rosendahl & Eirik Lund Sagen, 2009. "The Global Natural Gas Market: Will Transport Cost Reductions Lead to Lower Prices?," The Energy Journal, , vol. 30(2), pages 17-40, April.
    2. Chyong, Chi Kong & Hobbs, Benjamin F., 2014. "Strategic Eurasian natural gas market model for energy security and policy analysis: Formulation and application to South Stream," Energy Economics, Elsevier, vol. 44(C), pages 198-211.
    3. Steven A. Gabriel & Supat Kiet & Jifang Zhuang, 2005. "A Mixed Complementarity-Based Equilibrium Model of Natural Gas Markets," Operations Research, INFORMS, vol. 53(5), pages 799-818, October.
    4. Orlov, Anton, 2015. "An assessment of optimal gas pricing in Russia: A CGE approach," Energy Economics, Elsevier, vol. 49(C), pages 492-506.
    5. Guo, Yingjian & Hawkes, Adam, 2019. "Asset stranding in natural gas export facilities: An agent-based simulation," Energy Policy, Elsevier, vol. 132(C), pages 132-155.
    6. Feijoo, Felipe & Huppmann, Daniel & Sakiyama, Larissa & Siddiqui, Sauleh, 2016. "North American natural gas model: Impact of cross-border trade with Mexico," Energy, Elsevier, vol. 112(C), pages 1084-1095.
    7. Hassan Hamie & Anis Hoayek & Hans Auer, 2020. "Modeling Post-Liberalized European Gas Market Concentration—A Game Theory Perspective," Forecasting, MDPI, vol. 3(1), pages 1-16, December.
    8. Jia, Weidong & Gong, Chengzhu & Pan, Kai & Yu, Shiwei, 2023. "Potential changes of regional natural gas market in China amidst liberalization: A mixed complementarity equilibrium simulation in 2030," Energy, Elsevier, vol. 284(C).
    9. Gong, Chengzhu & Wu, Desheng & Gong, Nianjiao & Qi, Rui, 2020. "Multi-agent mixed complementary simulation of natural gas upstream market liberalization in China," Energy, Elsevier, vol. 200(C).
    10. Zhuang, Jifang & Gabriel, Steven A., 2008. "A complementarity model for solving stochastic natural gas market equilibria," Energy Economics, Elsevier, vol. 30(1), pages 113-147, January.
    11. Egging-Bratseth, Ruud & Baltensperger, Tobias & Tomasgard, Asgeir, 2020. "Solving oligopolistic equilibrium problems with convex optimization," European Journal of Operational Research, Elsevier, vol. 284(1), pages 44-52.
    12. Orlov, Anton, 2016. "Effects of higher domestic gas prices in Russia on the European gas market: A game theoretical Hotelling model," Applied Energy, Elsevier, vol. 164(C), pages 188-199.
    13. Wei, Qi & Zhou, Peng & Shi, Xunpeng, 2023. "The congestion cost of pipeline networks under third-party access in China's natural gas market," Energy, Elsevier, vol. 284(C).
    14. 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.
    15. Jamil, Faisal, 2012. "Impact of different public E&P policies on natural gas reserves and production in Pakistan," Resources Policy, Elsevier, vol. 37(3), pages 368-374.
    16. Egging, Ruud & Holz, Franziska & Gabriel, Steven A., 2010. "The World Gas Model," Energy, Elsevier, vol. 35(10), pages 4016-4029.
    17. Rioux, Bertrand & Shabaneh, Rami & Griffiths, Steven, 2021. "An economic analysis of gas pipeline trade cooperation in the GCC," Energy Policy, Elsevier, vol. 157(C).
    18. Guo, Yingjian & Hawkes, Adam, 2018. "Simulating the game-theoretic market equilibrium and contract-driven investment in global gas trade using an agent-based method," Energy, Elsevier, vol. 160(C), pages 820-834.
    19. del Valle, Aurora & Dueñas, Pablo & Wogrin, Sonja & Reneses, Javier, 2017. "A fundamental analysis on the implementation and development of virtual natural gas hubs," Energy Economics, Elsevier, vol. 67(C), pages 520-532.
    20. Gabriel, S.A. & Rosendahl, K.E. & Egging, Ruud & Avetisyan, H.G. & Siddiqui, S., 2012. "Cartelization in gas markets: Studying the potential for a “Gas OPEC”," Energy Economics, Elsevier, vol. 34(1), pages 137-152.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation
    • L95 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Gas Utilities; Pipelines; Water Utilities
    • Q31 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Demand and Supply; Prices

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ssb:dispap:559. 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: L Maasø (email available below). General contact details of provider: https://edirc.repec.org/data/ssbgvno.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.