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The impact of market coupling on Hungarian and Romanian electricity markets: Evidence from the regime-switching model

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  • Vika Koban

Abstract

This paper investigates the impact of market coupling on (1) electricity prices of Hungarian and Romanian markets and (2) the influence of renewable generation on price regimes by employing the Markov regime-switching model with time-varying transition probabilities. The study provides the evidence of the changes in regimes since market coupling. The results show that the persistence and occurrences of Hungarian price drops are significantly increased. Meanwhile, Romanian prices exhibit less and shorter living price jumps. Considering time-varying transition probabilities as functions of wind power production in Romania, the study also reveals that market coupling changed the influence of wind power production on the regime-switching mechanism of electricity prices.

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  • Vika Koban, 2017. "The impact of market coupling on Hungarian and Romanian electricity markets: Evidence from the regime-switching model," Energy & Environment, , vol. 28(5-6), pages 621-638, September.
  • Handle: RePEc:sae:engenv:v:28:y:2017:i:5-6:p:621-638
    DOI: 10.1177/0958305X17714152
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    1. Ochoa, Camila & van Ackere, Ann, 2015. "Does size matter? Simulating electricity market coupling between Colombia and Ecuador," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1108-1124.
    2. Kanamura, Takashi & O[combining macron]hashi, Kazuhiko, 2008. "On transition probabilities of regime switching in electricity prices," Energy Economics, Elsevier, vol. 30(3), pages 1158-1172, May.
    3. Parisio, Lucia & Bosco, Bruno, 2008. "Electricity prices and cross-border trade: Volume and strategy effects," Energy Economics, Elsevier, vol. 30(4), pages 1760-1775, July.
    4. Mount, Timothy D. & Ning, Yumei & Cai, Xiaobin, 2006. "Predicting price spikes in electricity markets using a regime-switching model with time-varying parameters," Energy Economics, Elsevier, vol. 28(1), pages 62-80, January.
    5. D. Finon & E. Romano, 2009. "Electricity market integration: Redistribution effect versus resource reallocation," Post-Print hal-00716343, HAL.
    6. Brancucci Martinez-Anido, Carlo & Brinkman, Greg & Hodge, Bri-Mathias, 2016. "The impact of wind power on electricity prices," Renewable Energy, Elsevier, vol. 94(C), pages 474-487.
    7. Benjamin F. Hobbs & Fieke A.M. Rijkers & Maroeska G. Boots, 2005. "The More Cooperation, The More Competition? A Cournot Analysis of the Benefits of Electric Market Coupling," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 69-98.
    8. Ketterer, Janina C., 2014. "The impact of wind power generation on the electricity price in Germany," Energy Economics, Elsevier, vol. 44(C), pages 270-280.
    9. repec:taf:applec:45:y:2013:i:18:p:2683-2693 is not listed on IDEAS
    10. Ronald Huisman & Mehtap Kili砍, 2013. "A history of European electricity day-ahead prices," Applied Economics, Taylor & Francis Journals, vol. 45(18), pages 2683-2693, June.
    11. Denny, E. & Tuohy, A. & Meibom, P. & Keane, A. & Flynn, D. & Mullane, A. & O'Malley, M., 2010. "The impact of increased interconnection on electricity systems with large penetrations of wind generation: A case study of Ireland and Great Britain," Energy Policy, Elsevier, vol. 38(11), pages 6946-6954, November.
    12. Ochoa, Camila & van Ackere, Ann, 2015. "Winners and losers of market coupling," Energy, Elsevier, vol. 80(C), pages 522-534.
    13. Clò, Stefano & Cataldi, Alessandra & Zoppoli, Pietro, 2015. "The merit-order effect in the Italian power market: The impact of solar and wind generation on national wholesale electricity prices," Energy Policy, Elsevier, vol. 77(C), pages 79-88.
    14. Pean, Emmanuel & Pirouti, Marouf & Qadrdan, Meysam, 2016. "Role of the GB-France electricity interconnectors in integration of variable renewable generation," Renewable Energy, Elsevier, vol. 99(C), pages 307-314.
    15. Joanna Janczura & Rafał Weron, 2012. "Efficient estimation of Markov regime-switching models: An application to electricity spot prices," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 96(3), pages 385-407, July.
    16. Andreas Ehrenmann & Karsten Neuhoff, 2009. "A Comparison of Electricity Market Designs in Networks," Operations Research, INFORMS, vol. 57(2), pages 274-286, April.
    17. Amor, Mourad Ben & Billette de Villemeur, Etienne & Pellat, Marie & Pineau, Pierre-Olivier, 2014. "Influence of wind power on hourly electricity prices and GHG (greenhouse gas) emissions: Evidence that congestion matters from Ontario zonal data," Energy, Elsevier, vol. 66(C), pages 458-469.
    18. Kim, Chang-Jin, 1994. "Dynamic linear models with Markov-switching," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 1-22.
    19. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
    20. Weron, Rafal & Janczura, Joanna, 2010. "Efficient estimation of Markov regime-switching models: An application to electricity wholesale market prices," MPRA Paper 26628, University Library of Munich, Germany.
    21. Janczura, Joanna & Weron, Rafal, 2010. "An empirical comparison of alternate regime-switching models for electricity spot prices," Energy Economics, Elsevier, vol. 32(5), pages 1059-1073, September.
    22. Amor, Mourad Ben & Billette de Villemeur, Etienne & Pellat, Marie & Pineau, Pierre-Olivier, 2014. "Influence of wind power on hourly electricity prices and GHG emissions: Evidence that congestion matters from Ontario zonal data," MPRA Paper 53630, University Library of Munich, Germany.
    23. Zachmann, Georg, 2008. "Electricity wholesale market prices in Europe: Convergence?," Energy Economics, Elsevier, vol. 30(4), pages 1659-1671, July.
    24. Creti, Anna & Fumagalli, Eileen & Fumagalli, Elena, 2010. "Integration of electricity markets in Europe: Relevant issues for Italy," Energy Policy, Elsevier, vol. 38(11), pages 6966-6976, November.
    25. Huisman, Ronald, 2008. "The influence of temperature on spike probability in day-ahead power prices," Energy Economics, Elsevier, vol. 30(5), pages 2697-2704, September.
    26. Finon, Dominique & Romano, Elliot, 2009. "Electricity market integration: Redistribution effect versus resource reallocation," Energy Policy, Elsevier, vol. 37(8), pages 2977-2985, August.
    27. Suomalainen, Kiti & Pritchard, Geoffrey & Sharp, Basil & Yuan, Ziqi & Zakeri, Golbon, 2015. "Correlation analysis on wind and hydro resources with electricity demand and prices in New Zealand," Applied Energy, Elsevier, vol. 137(C), pages 445-462.
    28. Pellini, Elisabetta, 2012. "Measuring the impact of market coupling on the Italian electricity market," Energy Policy, Elsevier, vol. 48(C), pages 322-333.
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    3. Lucia Parisio & Matteo Pelagatti, 2019. "Market coupling between electricity markets: theory and empirical evidence for the Italian–Slovenian interconnection," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 36(2), pages 527-548, July.

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