IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/109297.html
   My bibliography  Save this paper

Asymmetry and hysteresis in the Russian gasoline market: the rationale for green energy exports

Author

Listed:
  • Fantazzini, Dean
  • Kolesnikova, Anna

Abstract

Using monthly data of 79 Russian regions from 2003 to 2017, we study the long-run relationship of the retail gasoline prices with the crude oil price and the nominal exchange rate. We find that models that were successfully applied to deal with asymmetries in other countries are not suitable for Russia without taking structural breaks into account. Once breaks are allowed, we find that there is no asymmetry in the long-run elasticities between the gasoline prices and the crude oil price, and no significant hysteresis. However, there is an asymmetric relation between the gasoline price and the exchange rate that has decreased over time. These results also hold after several robustness checks. The evidence reported in this work shows that the effects of the exchange rate on gasoline prices are much more difficult to control than the oil price, and they require a larger set of policy measures: the recent development of a plan to decrease the importance of hydrocarbons exports by producing clean hydrogen using electrolysis and pyrolysis and the potential future export of electricity generated using nuclear power and onshore wind farms may help to diversify the local economy and to shield it from new sanctions.

Suggested Citation

  • Fantazzini, Dean & Kolesnikova, Anna, 2021. "Asymmetry and hysteresis in the Russian gasoline market: the rationale for green energy exports," MPRA Paper 109297, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:109297
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/109297/1/MPRA_paper_109297.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Giliola Frey & Matteo Manera, 2007. "Econometric Models Of Asymmetric Price Transmission," Journal of Economic Surveys, Wiley Blackwell, vol. 21(2), pages 349-415, April.
    2. José Manuel Campa & Linda S. Goldberg, 2005. "Exchange Rate Pass-Through into Import Prices," The Review of Economics and Statistics, MIT Press, vol. 87(4), pages 679-690, November.
    3. Delatte, Anne-Laure & López-Villavicencio, Antonia, 2012. "Asymmetric exchange rate pass-through: Evidence from major countries," Journal of Macroeconomics, Elsevier, vol. 34(3), pages 833-844.
    4. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    5. Matthew S. Lewis, 2011. "Asymmetric Price Adjustment and Consumer Search: An Examination of the Retail Gasoline Market," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 20(2), pages 409-449, June.
    6. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    7. repec:ipg:wpaper:2014-569 is not listed on IDEAS
    8. Svetlana Fedoseeva & Laura M. Werner, 2016. "How linear is pricing-to-market? Empirical assessment of hysteresis and asymmetry of PTM," Empirical Economics, Springer, vol. 50(3), pages 1065-1090, May.
    9. Greenwood-Nimmo, Matthew & Shin, Yongcheol, 2013. "Taxation and the asymmetric adjustment of selected retail energy prices in the UK," Economics Letters, Elsevier, vol. 121(3), pages 411-416.
    10. Jushan Bai & Serena Ng, 2004. "A PANIC Attack on Unit Roots and Cointegration," Econometrica, Econometric Society, vol. 72(4), pages 1127-1177, July.
    11. Atil, Ahmed & Lahiani, Amine & Nguyen, Duc Khuong, 2014. "Asymmetric and nonlinear pass-through of crude oil prices to gasoline and natural gas prices," Energy Policy, Elsevier, vol. 65(C), pages 567-573.
    12. Christopher Decker & Mark Wohar, 2007. "Determinants of state diesel fuel excise tax rates: the political economy of fuel taxation in the United States," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 41(1), pages 171-188, March.
    13. Per G. Fredriksson & Khawaja A. Mamun, 2014. "Tobacco Politics and Electoral Accountability in the United States," Public Finance Review, , vol. 42(1), pages 4-34, January.
    14. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    15. Alejandro Esteller-Moré & Leonzio Rizzo, 2014. "US excise tax horizontal interdependence: yardstick versus tax competition," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 52(3), pages 711-737, May.
    16. Grasso, Margherita & Manera, Matteo, 2007. "Asymmetric error correction models for the oil-gasoline price relationship," Energy Policy, Elsevier, vol. 35(1), pages 156-177, January.
    17. Anindya Banerjee & Josep Lluís Carrion‐i‐Silvestre, 2015. "Cointegration in Panel Data with Structural Breaks and Cross‐Section Dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(1), pages 1-23, January.
    18. Nicholas Apergis & James E. Payne, 2014. "Resurrecting the size effect: Evidence from a panel nonlinear cointegration model for the G7 stock markets," Review of Financial Economics, John Wiley & Sons, vol. 23(1), pages 46-53, January.
    19. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    20. Boute, Anatole & Willems, Patrick, 2012. "RUSTEC: Greening Europe's energy supply by developing Russia's renewable energy potential," Energy Policy, Elsevier, vol. 51(C), pages 618-629.
    21. Bagnai, Alberto & Mongeau Ospina, Christian Alexander, 2015. "Long- and short-run price asymmetries and hysteresis in the Italian gasoline market," Energy Policy, Elsevier, vol. 78(C), pages 41-50.
    22. Cook, Steven & Fosten, Jack, 2019. "Replicating rockets and feathers," Energy Economics, Elsevier, vol. 82(C), pages 139-151.
    23. Bacon, Robert W., 1991. "Rockets and feathers: the asymmetric speed of adjustment of UK retail gasoline prices to cost changes," Energy Economics, Elsevier, vol. 13(3), pages 211-218, July.
    24. Aganin, Artem & Peresetsky, Anatoly, 2018. "Volatility of ruble exchange rate: Oil and sanctions," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 52, pages 5-21.
    25. Perdiguero-García, Jordi, 2013. "Symmetric or asymmetric oil prices? A meta-analysis approach," Energy Policy, Elsevier, vol. 57(C), pages 389-397.
    26. Eurek, Kelly & Sullivan, Patrick & Gleason, Michael & Hettinger, Dylan & Heimiller, Donna & Lopez, Anthony, 2017. "An improved global wind resource estimate for integrated assessment models," Energy Economics, Elsevier, vol. 64(C), pages 552-567.
    Full references (including those not matched with items on IDEAS)

    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. Bagnai, Alberto & Mongeau Ospina, Christian Alexander, 2015. "Long- and short-run price asymmetries and hysteresis in the Italian gasoline market," Energy Policy, Elsevier, vol. 78(C), pages 41-50.
    2. Deltas, George & Polemis, Michael, 2020. "Estimating retail gasoline price dynamics: The effects of sample characteristics and research design," Energy Economics, Elsevier, vol. 92(C).
    3. Pal, Debdatta & Mitra, Subrata K., 2016. "Asymmetric oil product pricing in India: Evidence from a multiple threshold nonlinear ARDL model," Economic Modelling, Elsevier, vol. 59(C), pages 314-328.
    4. Alberto Bagnai & Christian Alexander Mongeau Ospina, 2016. "Price asymmetries in the European gasoline market," a/ Working Papers Series 1602, Italian Association for the Study of Economic Asymmetries, Rome (Italy).
    5. Fousekis, Panos & Katrakilidis, Constantinos & Trachanas, Emmanouil, 2016. "Vertical price transmission in the US beef sector: Evidence from the nonlinear ARDL model," Economic Modelling, Elsevier, vol. 52(PB), pages 499-506.
    6. Jonathan E. Ogbuabor & Anthony Orji & Gladys C. Aneke & Manasseh O. Charles, 2019. "Did the global financial crisis alter the oil–gasoline price relationship?," Empirical Economics, Springer, vol. 57(4), pages 1171-1200, October.
    7. Anthony N. Rezitis, 2019. "Investigating price transmission in the Finnish dairy sector: an asymmetric NARDL approach," Empirical Economics, Springer, vol. 57(3), pages 861-900, September.
    8. Alberto Bagnai & Christian Alexander Mongeau Ospina, 2014. "Long- and short-run price asymmetries in the Italian energy market: the case of gasoline and heating gasoil," a/ Working Papers Series 1407, Italian Association for the Study of Economic Asymmetries, Rome (Italy).
    9. Pal, Debdatta & Mitra, Subrata Kumar, 2015. "Asymmetric impact of crude price on oil product pricing in the United States: An application of multiple threshold nonlinear autoregressive distributed lag model," Economic Modelling, Elsevier, vol. 51(C), pages 436-443.
    10. Sylwester Bejger, 2021. "Competition in a Wholesale Fuel Market—The Impact of the Structural Changes Caused by COVID-19," Energies, MDPI, vol. 14(14), pages 1-26, July.
    11. Bagnai, Alberto & Mongeau Ospina, Christian Alexander, 2016. "“Asymmetric asymmetries” in Eurozone markets gasoline pricing," The Journal of Economic Asymmetries, Elsevier, vol. 13(C), pages 89-99.
    12. Rahman, Mohammad Chhiddikur, 2018. "Welfare Impact of Asymmetric Price Transmission on Bangladesh Rice Consumers," EconStor Theses, ZBW - Leibniz Information Centre for Economics, number 251114.
    13. Sylwester Bejger, 2019. "Wholesale fuel price adjustment in Poland: examination of competi-tive performance," Ekonomia i Prawo, Uniwersytet Mikolaja Kopernika, vol. 18(4), pages 385-412, December.
    14. Chou, Kuo-Wei & Tseng, Yi-Heng, 2016. "Oil prices, exchange rate, and the price asymmetry in the Taiwanese retail gasoline market," Economic Modelling, Elsevier, vol. 52(PB), pages 733-741.
    15. Taner SEKMEN & Seher Gülşah TOPUZ, 2021. "Asymmetric Oil Price and Exchange Rate Pass-Through in the Turkish Oil-Gasoline Markets," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 74-93, June.
    16. Hamid Baghestani & Jorg Bley, 2020. "Do directional predictions of US gasoline prices reveal asymmetries?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 44(2), pages 348-360, April.
    17. Bakhat, Mohcine & Rosselló, Jaume & Sansó, Andreu, 2022. "Price transmission between oil and gasoline and diesel: A new measure for evaluating time asymmetries," Energy Economics, Elsevier, vol. 106(C).
    18. Ederington, Louis H. & Fernando, Chitru S. & Hoelscher, Seth A. & Lee, Thomas K. & Linn, Scott C., 2019. "A review of the evidence on the relation between crude oil prices and petroleum product prices," Journal of Commodity Markets, Elsevier, vol. 13(C), pages 1-15.
    19. Chattopadhyay, Manojit & Kumar Mitra, Subrata, 2015. "Exploring asymmetric behavior pattern from Indian oil products prices using NARDL and GHSOM approaches," Energy Policy, Elsevier, vol. 86(C), pages 262-272.
    20. Moutinho, Victor & Bento, João Paulo Cerdeira & Hajko, Vladimír, 2017. "Price relationships between crude oil and transport fuels in the European Union before and after the 2008 financial crisis," Utilities Policy, Elsevier, vol. 45(C), pages 76-83.

    More about this item

    Keywords

    Gasoline market; Russia; Asymmetric cointegration; Panel cointegration; Hysteresis; Structural breaks;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • L71 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Mining, Extraction, and Refining: Hydrocarbon Fuels
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy
    • Q38 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Government Policy (includes OPEC Policy)
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

    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:pra:mprapa:109297. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.