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Refining for Export and the Convergence of Petroleum Product Prices

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Listed:
  • A. Zavaleta
  • W. D. Walls

    (University of Calgary)

  • F. Rusco

Abstract

The refining industry has changed over the past decades from one in which petroleum refining capacity primarily served local and regional markets to one in which trade in refined petroleum products has become more widespread. We investigate the hypothesis of increasing globalization by examining the convergence of prices for refined products across different markets. Using data on refined products from market centers in the US and Europe, we test for convergence of prices using standard time-series techniques. The data plainly show that markets for refined petroleum products have become more interrelated as Europe has exported its gasoline surplus and global demand for petroleum products has approached refining capacity. The econometric evidence supports the hypothesis that the US and European markets for oil and refined products are integrated. We find evidence that a structural break during the financial crisis of 2008 changed the long-run equilibrium price relationships and the short-run price dynamics. Refined product markets are likely to experience continued globalization given trends in the United States and Europe and because of key export-oriented refining capacity investments made to take advantage of access to specific crude oil sources.

Suggested Citation

  • A. Zavaleta & W. D. Walls & F. Rusco, "undated". "Refining for Export and the Convergence of Petroleum Product Prices," Working Papers 2013-32, Department of Economics, University of Calgary, revised 06 Dec 2013.
  • Handle: RePEc:clg:wpaper:2013-32
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    1. Kejriwal, Mohitosh & Perron, Pierre, 2010. "Testing for Multiple Structural Changes in Cointegrated Regression Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(4), pages 503-522.
    2. W.David Walls & Frank W. Rusco, 2007. "Price Effects of Boutique Motor Fuels: Federal Environmental Standards, Regional Fuel Choices, and Local Gasoline Prices," The Energy Journal, , vol. 28(3), pages 145-164, July.
    3. A. Lanza & M. Manera & M. Giovannini, 2003. "Oil and price dynamics in international petroleum markets," Working Paper CRENoS 200306, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    4. Peter C. B. Phillips & Mico Loretan, 1991. "Estimating Long-run Economic Equilibria," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(3), pages 407-436.
    5. Apostolos Serletis, 2007. "A Cointegration Analysis of Petroleum Futures Prices," World Scientific Book Chapters, in: Quantitative And Empirical Analysis Of Energy Markets, chapter 5, pages 46-54, World Scientific Publishing Co. Pte. Ltd..
    6. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    7. Kendix, Michael & Walls, W.D., 2010. "Estimating the impact of refinery outages on petroleum product prices," Energy Economics, Elsevier, vol. 32(6), pages 1291-1298, November.
    8. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    9. S. Gurcan Gulen, 1997. "Regionalization in the World Crude Oil Market," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 109-126.
    10. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    11. Alessandro Lanza & Matteo Manera & Massimo Giovannini, 2003. "Oil and Product Price Dynamics in International Petroleum Markets," Working Papers 2003.81, Fondazione Eni Enrico Mattei.
    12. Banerjee, Anindya & Dolado, Juan J. & Galbraith, John W. & Hendry, David, 1993. "Co-integration, Error Correction, and the Econometric Analysis of Non-Stationary Data," OUP Catalogue, Oxford University Press, number 9780198288107.
    13. Asche, Frank & Gjolberg, Ole & Volker, Teresa, 2003. "Price relationships in the petroleum market: an analysis of crude oil and refined product prices," Energy Economics, Elsevier, vol. 25(3), pages 289-301, May.
    14. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    15. Stock, James H, 1987. "Asymptotic Properties of Least Squares Estimators of Cointegrating Vectors," Econometrica, Econometric Society, vol. 55(5), pages 1035-1056, September.
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    Cited by:

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    2. Narayan, Seema & Narayan, Paresh Kumar, 2017. "Estimating the speed of adjustment to target levels: The case of energy prices," Energy Economics, Elsevier, vol. 62(C), pages 419-427.
    3. Balaguer, Jacint & Ripollés, Jordi, 2018. "The dynamics pattern of price dispersion in retail fuel markets," Energy Economics, Elsevier, vol. 74(C), pages 546-564.
    4. 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.
    5. Ali Jadidzadeh & Mobin Mirzababaei & Apostolos Serletis, 2022. "Oil Prices and the Hydrocarbon Markets: A Review," Energies, MDPI, vol. 15(17), pages 1-9, August.
    6. Ederington, Louis H. & Fernando, Chitru S. & Hoelscher, Seth A. & Lee, Thomas K. & Linn, Scott C., 2019. "Characteristics of petroleum product prices: A survey," Journal of Commodity Markets, Elsevier, vol. 14(C), pages 1-15.
    7. Bravo Caro, José Manuel & Golpe, Antonio A. & Iglesias, Jesús & Vides, José Carlos, 2020. "A new way of measuring the WTI – Brent spread. Globalization, shock persistence and common trends," Energy Economics, Elsevier, vol. 85(C).
    8. Kumar, Satish, 2022. "Speed of adjustment in energy and metal prices: Evidence from India," Resources Policy, Elsevier, vol. 78(C).
    9. Guo, Sui & Li, Huajiao & An, Haizhong & Ma, Ning & Sun, Qingru & Feng, Sida & Sun, Guangzhao & Liu, Yanxin, 2024. "Detecting the horizontal/vertical price relationship patterns in the global oil industry chain through network analysis," Energy, Elsevier, vol. 296(C).
    10. Yu-Wei Chen & Chui-Yu Chiu & Mu-Chun Hsiao, 2021. "An Auxiliary Index for Reducing Brent Crude Investment Risk—Evaluating the Price Relationships between Brent Crude and Commodities," Sustainability, MDPI, vol. 13(9), pages 1-45, April.
    11. Ruble, Isabella, 2019. "The U.S. crude oil refining industry: Recent developments, upcoming challenges and prospects for exports," The Journal of Economic Asymmetries, Elsevier, vol. 20(C).

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    More about this item

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • L71 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Mining, Extraction, and Refining: Hydrocarbon Fuels
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • Q31 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Demand and Supply; Prices
    • F1 - International Economics - - Trade
    • M2 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics

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