Cross-border constraints, institutional changes and integration of the Dutch–German gas market
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DOI: 10.1016/j.eneco.2014.09.009
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- Kuper, G.H. & Mulder, Machiel, 2013. "Cross-border constraints, institutional changes and integration of the Dutch-German gas market," Research Report 13004-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
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Citations
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Cited by:
- Ekaterina Dukhanina & Olivier Massol, 2017.
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- Ekaterina Dukhanina & Olivier Massol, 2018. "Spatial Integration of Natural Gas Markets: a Literature Review," Post-Print hal-04292878, HAL.
- Ekaterina Dukhanina & Olivier Massol, 2018. "Spatial Integration of Natural Gas Markets: a Literature Review," Post-Print hal-01939648, HAL.
- Hulshof, Daan & van der Maat, Jan-Pieter & Mulder, Machiel, 2016. "Market fundamentals, competition and natural-gas prices," Energy Policy, Elsevier, vol. 94(C), pages 480-491.
- Chen, Yufeng & Wang, Chuwen & Zhu, Zhitao, 2022. "Toward the integration of European gas futures market under COVID-19 shock: A quantile connectedness approach," Energy Economics, Elsevier, vol. 114(C).
- Holz, Franziska & Brauers, Hanna & Richter, Philipp M. & Roobeek, Thorsten, 2017.
"Shaking Dutch grounds won’t shatter the European gas market,"
Energy Economics, Elsevier, vol. 64(C), pages 520-529.
- Holz, Franziska & Brauers, Hanna & Richter, Philipp M. & Roobeek, Thorsten, 2017. "Shaking Dutch grounds won’t shatter the European gas market," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 64, pages 520-529.
- Franziska Holz & Hanna Brauers & Philipp M. Richter & Thorsten Roobeek, 2015. "Shaking Dutch Grounds Won't Shatter the European Gas Market," Discussion Papers of DIW Berlin 1516, DIW Berlin, German Institute for Economic Research.
- Goodell, John W. & Gurdgiev, Constantin & Paltrinieri, Andrea & Piserà, Stefano, 2023. "Global energy supply risk: Evidence from the reactions of European natural gas futures to Nord Stream announcements," Energy Economics, Elsevier, vol. 125(C).
- Ren, Xiaohang & Lu, Zudi & Cheng, Cheng & Shi, Yukun & Shen, Jian, 2019. "On dynamic linkages of the state natural gas markets in the USA: Evidence from an empirical spatio-temporal network quantile analysis," Energy Economics, Elsevier, vol. 80(C), pages 234-252.
- Keller, Jann T. & Kuper, Gerard H. & Mulder, Machiel, 2019. "Mergers of Germany's natural gas market areas: Is transmission capacity booked efficiently?," Utilities Policy, Elsevier, vol. 56(C), pages 104-119.
- Ivan Aleksandrovich Kopytin & Alexander Oskarovich Maslennikov & Stanislav Vyacheslavovich Zhukov, 2022. "Europe in World Natural Gas Market: International Transmission of European Price Shocks," International Journal of Energy Economics and Policy, Econjournals, vol. 12(3), pages 8-15, May.
- Papież, Monika & Rubaszek, Michał & Szafranek, Karol & Śmiech, Sławomir, 2022. "Are European natural gas markets connected? A time-varying spillovers analysis," Resources Policy, Elsevier, vol. 79(C).
- Szafranek, Karol & Papież, Monika & Rubaszek, Michał & Śmiech, Sławomir, 2023. "How immune is the connectedness of European natural gas markets to exceptional shocks?," Resources Policy, Elsevier, vol. 85(PA).
- 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.
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More about this item
Keywords
Gas market; Regulation; Cross-border infrastructure; Time-series analysis;All these keywords.
JEL classification:
- Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
- L95 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Gas Utilities; Pipelines; Water Utilities
- L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Statistics
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