IDEAS home Printed from https://ideas.repec.org/p/ven/wpaper/202314.html
   My bibliography  Save this paper

The Economic and Environmental Consequences of the Petroleum Industry Extensive Margin

Author

Listed:
  • Giacomo Benini

    (Department of Business and Management Science, NHH)

  • Adam Brandt

    (Department of Energy Resource Engineering, Stanford University)

  • Valerio Dotti

    (Department of Economics, University Of Venice CÃ Foscari)

  • Hassan El-Houjeiri

    (Technology Outlook, Strategy & Planning Dept., Saudi Aramco)

Abstract

The recent diffusion of novel oil technologies has increased the variability of petroleum resources. Today, it is possible to mine oil sands, to extract liquids from tight rocks, and to produce high-viscosity oils. Merging accounting and environmental data, we quantify the upstream emissions of the least profitable oilfields. According to our estimates thirteen fields, responsible for the production of 0.72 million barrels per day, represent the 1% extensive margin of the industry. These formations are Heavy & Extra Heavy and Sands deposits. Their average upstream carbon intensity is 114.61 KgCO2e per barrel versus a global average of 54.35. Similar results are obtained widening the extensive margin to 2.5% and 5%. This finding suggests that a fall in the global oil demand of 1% can reduce upstream emissions by 24.95 MMtCO2e per year, the annual footprint of 5.3% of all the cars registered in the United States.

Suggested Citation

  • Giacomo Benini & Adam Brandt & Valerio Dotti & Hassan El-Houjeiri, 2023. "The Economic and Environmental Consequences of the Petroleum Industry Extensive Margin," Working Papers 2023:14, Department of Economics, University of Venice "Ca' Foscari".
    • Handle: RePEc:ven:wpaper:2023:14
    as

    Download full text from publisher

    File URL: http://www.unive.it/pag/fileadmin/user_upload/dipartimenti/economia/doc/Pubblicazioni_scientifiche/working_papers/2023/WP_DSE_dottietal_14_23.pdf
    File Function: First version, anno
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Martin B. Zimmerman, 1977. "Modeling Depletion in a Mineral Industry: The Case of Coal," Bell Journal of Economics, The RAND Corporation, vol. 8(1), pages 41-65, Spring.
    2. Mohammad S. Masnadi & Giacomo Benini & Hassan M. El-Houjeiri & Alice Milivinti & James E. Anderson & Timothy J. Wallington & Robert Kleine & Valerio Dotti & Patrick Jochem & Adam R. Brandt, 2021. "Carbon implications of marginal oils from market-derived demand shocks," Nature, Nature, vol. 599(7883), pages 80-84, November.
    3. McElroy, Marjorie B, 1987. "Additive General Error Models for Production, Cost, and Derived Demand or Share Systems," Journal of Political Economy, University of Chicago Press, vol. 95(4), pages 737-757, August.
    4. 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.
    5. Pesaran, M Hashem, 1990. "An Econometric Analysis of Exploration and Extraction of Oil in the U.K. Continental Shelf," Economic Journal, Royal Economic Society, vol. 100(401), pages 367-390, June.
    6. Robert M. Solow & Frederic Y. Wan, 1976. "Extraction Costs in the Theory of Exhaustible Resources," Bell Journal of Economics, The RAND Corporation, vol. 7(2), pages 359-370, Autumn.
    7. Livernois, John R & Uhler, Russell S, 1987. "Extraction Costs and the Economics of Nonrenewable Resources," Journal of Political Economy, University of Chicago Press, vol. 95(1), pages 195-203, February.
    8. Mauro Costantini & Claudio Lupi, 2013. "A Simple Panel-CADF Test for Unit Roots," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(2), pages 276-296, April.
    9. Jushan Bai, 2009. "Panel Data Models With Interactive Fixed Effects," Econometrica, Econometric Society, vol. 77(4), pages 1229-1279, July.
    10. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    11. M. Scott Taylor & Juan Moreno Cruz, "undated". "A Spatial Approach to Energy Economics," Working Papers 2014-68, Department of Economics, University of Calgary, revised 29 Sep 2014.
    12. Lanza, Alessandro & Manera, Matteo & Giovannini, Massimo, 2005. "Modeling and forecasting cointegrated relationships among heavy oil and product prices," Energy Economics, Elsevier, vol. 27(6), pages 831-848, November.
    13. Golombek, Rolf & Irarrazabal, Alfonso A. & Ma, Lin, 2018. "OPEC's market power: An empirical dominant firm model for the oil market," Energy Economics, Elsevier, vol. 70(C), pages 98-115.
    14. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    15. Liang Jing & Hassan M. El-Houjeiri & Jean-Christophe Monfort & Adam R. Brandt & Mohammad S. Masnadi & Deborah Gordon & Joule A. Bergerson, 2020. "Carbon intensity of global crude oil refining and mitigation potential," Nature Climate Change, Nature, vol. 10(6), pages 526-532, June.
    16. Nikolaos Milonas & Thomas Henker, 2001. "Price spread and convenience yield behaviour in the international oil market," Applied Financial Economics, Taylor & Francis Journals, vol. 11(1), pages 23-36.
    17. Favero, Carlo A, 1992. "Taxation and the Optimization of Oil Exploration and Production: The UK Continental Shelf," Oxford Economic Papers, Oxford University Press, vol. 44(2), pages 187-208, April.
    18. repec:clg:wpaper:2013-18 is not listed on IDEAS
    19. Swamy, P A V B, 1970. "Efficient Inference in a Random Coefficient Regression Model," Econometrica, Econometric Society, vol. 38(2), pages 311-323, March.
    20. Fattouh, Bassam, 2010. "The dynamics of crude oil price differentials," Energy Economics, Elsevier, vol. 32(2), pages 334-342, March.
    21. M. A. Adelman, 1984. "International Oil Agreements," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 1-10.
    22. repec:clg:wpaper:2013-12 is not listed on IDEAS
    23. S. Taheri & G. Hesamian, 2013. "A generalization of the Wilcoxon signed-rank test and its applications," Statistical Papers, Springer, vol. 54(2), pages 457-470, May.
    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. Jerome Geyer‐Klingeberg & Andreas W. Rathgeber, 2021. "Determinants of the WTI‐Brent price spread revisited," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(5), pages 736-757, May.
    2. Marvasti, Akbar, 2013. "The role of price expectations and legal uncertainties in ocean mineral, exploration activities," Resources Policy, Elsevier, vol. 38(1), pages 68-74.
    3. Cong Khai Dinh & Quang Thanh Ngo & Trung Thanh Nguyen, 2021. "Medium- and High-Tech Export and Renewable Energy Consumption: Non-Linear Evidence from the ASEAN Countries," Energies, MDPI, vol. 14(15), pages 1-16, July.
    4. Markus Eberhardt & Francis Teal, 2008. "Modeling Technology and Technological Change in Manufacturing: How do Countries Differ?," CSAE Working Paper Series 2008-12, Centre for the Study of African Economies, University of Oxford.
    5. Reboredo, Juan C., 2011. "How do crude oil prices co-move?: A copula approach," Energy Economics, Elsevier, vol. 33(5), pages 948-955, September.
    6. Huafang Huang & Sharafat Ali & Yasir Ahmed Solangi, 2023. "Analysis of the Impact of Economic Policy Uncertainty on Environmental Sustainability in Developed and Developing Economies," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
    7. Bertrand Candelon & Marc Joëts & Sessi Tokpavi, 2012. "Testing for crude oil markets globalization during extreme price movements," Post-Print hal-01411687, HAL.
    8. Neil A. Wilmot, 2013. "Cointegration in the Oil Market among Regional Blends," International Journal of Energy Economics and Policy, Econjournals, vol. 3(4), pages 424-433.
    9. Candelon, Bertrand & Joëts, Marc & Tokpavi, Sessi, 2013. "Testing for Granger causality in distribution tails: An application to oil markets integration," Economic Modelling, Elsevier, vol. 31(C), pages 276-285.
    10. Ji, Qiang & Fan, Ying, 2016. "Evolution of the world crude oil market integration: A graph theory analysis," Energy Economics, Elsevier, vol. 53(C), pages 90-100.
    11. M. Scott Taylor & Juan Moreno Cruz, "undated". "A Spatial Approach to Energy Economics," Working Papers 2014-68, Department of Economics, University of Calgary, revised 29 Sep 2014.
    12. Monge, Manuel & Gil-Alana, Luis Alberiko, 2021. "Spatial crude oil production divergence and crude oil price behaviour in the United States," Energy, Elsevier, vol. 232(C).
    13. Markus Eberhardt & Francis Teal, 2010. "Aggregation versus Heterogeneity in Cross-Country Growth Empirics," CSAE Working Paper Series 2010-32, Centre for the Study of African Economies, University of Oxford.
    14. L. Marsiliani & X. Liu & Л. Марсилиани & К. Лю, 2017. "Структура Акционерного Капитала И Степень Эксплуатации Нефтяных Месторождений // Share-Ownership Distribution And Extraction Rate Of Petroleum In Oil Fields," Review of Business and Economics Studies // Review of Business and Economics Studies, Финансовый Университет // Financial University, vol. 5(1), pages 42-53.
    15. Pål Boug & Ådne Cappelen & Anders Rygh Swensen, 2016. "Modelling OPEC behaviour. Theory and evidence," Discussion Papers 843, Statistics Norway, Research Department.
    16. Skare, Marinko & PORADA-ROCHON, Małgorzata, 2022. "The role of innovation in sustainable growth: A dynamic panel study on micro and macro levels 1990–2019," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    17. Akgun, Oguzhan & Pirotte, Alain & Urga, Giovanni, 2020. "Forecasting using heterogeneous panels with cross-sectional dependence," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1211-1227.
    18. Liu, Li & Chen, Ching-Cheng & Wan, Jieqiu, 2013. "Is world oil market “one great pool”?: An example from China's and international oil markets," Economic Modelling, Elsevier, vol. 35(C), pages 364-373.
    19. Norkutė, Milda & Westerlund, Joakim, 2021. "The factor analytical approach in near unit root interactive effects panels," Journal of Econometrics, Elsevier, vol. 221(2), pages 569-590.
    20. 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).

    More about this item

    Keywords

    Oil Economics; Shadow Prices; Empirical Analysis of Firm Behavior; Panel Data; Co-integration; Endogeneity; Linear Mixed Models;
    All these keywords.

    JEL classification:

    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

    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:ven:wpaper:2023:14. 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: Geraldine Ludbrook (email available below). General contact details of provider: https://edirc.repec.org/data/dsvenit.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.