IDEAS home Printed from https://ideas.repec.org/a/sae/jocore/v29y1985i1p3-32.html

Diffusion as an Explanation of Oil Nationalization

Author

Listed:
  • Stephen J. Kobrin

    (Graduate School of Business, New York University)

Abstract

Following Rogers, diffusion is defined as a process of social communication involving information flows under uncertainty. The international petroleum industry is a complex social system with considerable uncertainty about existing structural conditions, particularly from the point of view of a developing country. The “demonstration effect†of oil production nationalizations has been an important source of information about the balance of country-company power. The Mexican (1938) and Iranian (1951) nationalizations inhibited further takeovers by demonstrating that the companies had the power to discipline nationalizing countries by isolating them from international markets. The North African nationalizations of 1971 were disinhibiting as they demonstrated that underlying structural conditions had changed to the point where industry sanctions were no longer effective. The diffusion hypothesis is tested empirically and shown to be consistent with the data.

Suggested Citation

  • Stephen J. Kobrin, 1985. "Diffusion as an Explanation of Oil Nationalization," Journal of Conflict Resolution, Peace Science Society (International), vol. 29(1), pages 3-32, March.
    • Handle: RePEc:sae:jocore:v:29:y:1985:i:1:p:3-32
    DOI: 10.1177/0022002785029001001
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0022002785029001001
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0022002785029001001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Collier, David & Messick, Richard E., 1975. "Prerequisites Versus Diffusion: Testing Alternative Explanations of Social Security Adoption," American Political Science Review, Cambridge University Press, vol. 69(4), pages 1299-1315, December.
    2. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    3. Levy, Brian, 1982. "World oil marketing in transition," International Organization, Cambridge University Press, vol. 36(1), pages 113-133, January.
    4. Jodice, David A., 1980. "Sources of change in Third World regimes for foreign direct investment, 1968–1976," International Organization, Cambridge University Press, vol. 34(2), pages 177-206, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sergei Guriev & Anton Kolotilin & Konstantin Sonin, 2011. "Determinants of Nationalization in the Oil Sector: A Theory and Evidence from Panel Data," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 27(2), pages 301-323.
    2. Witold J. Henisz & Bennet A. Zelner & Mauro F. Guillen, 2004. "International Coercion, Emulation and Policy Diffusion: Market-Oriented Infrastructure Reforms, 1977-1999," William Davidson Institute Working Papers Series 2004-713, William Davidson Institute at the University of Michigan.
    3. Mahdavi, Paasha, 2014. "Why do leaders nationalize the oil industry? The politics of resource expropriation," Energy Policy, Elsevier, vol. 75(C), pages 228-243.
    4. Rodrigues, Suzana B. & Dieleman, Marleen, 2018. "The internationalization paradox: Untangling dependence in multinational state hybrids," Journal of World Business, Elsevier, vol. 53(1), pages 39-51.
    5. Abdelrehim, Neveen & Maltby, Josephine & Toms, Steven, 2012. "Accounting for power and control: The Anglo-Iranian oil nationalisation of 1951," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 23(7), pages 595-607.

    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. Kristof Decock & Koenraad Debackere & Anne- Mieke Vandamme & Bart Looy, 2020. "Scenario-driven forecasting: modeling peaks and paths. Insights from the COVID-19 pandemic in Belgium," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2703-2715, September.
    2. Florens, Jean-Pierre & Sokullu, Senay, 2017. "Nonparametric Estimation Of Semiparametric Transformation Models," Econometric Theory, Cambridge University Press, vol. 33(4), pages 839-873, August.
    3. Shari, Babajide Epe & Dioha, Michael O. & Abraham-Dukuma, Magnus C. & Sobanke, Victor O. & Emodi, Nnaemeka V., 2022. "Clean cooking energy transition in Nigeria: Policy implications for Developing countries," Journal of Policy Modeling, Elsevier, vol. 44(2), pages 319-343.
    4. Pim Vercoulen & Soocheol Lee & Xu Han & Wendan Zhang & Yongsung Cho & Jun Pang, 2023. "Carbon-Neutral Steel Production and Its Impact on the Economies of China, Japan, and Korea: A Simulation with E3ME-FTT:Steel," Energies, MDPI, vol. 16(11), pages 1-24, June.
    5. Ankur Kumar & Ompal Singh & Adarsh Anand & P. K. Kapur, 2024. "Studying innovation adoption using different distribution functions," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(5), pages 1900-1907, May.
    6. Byrka, Katarzyna & Jȩdrzejewski, Arkadiusz & Sznajd-Weron, Katarzyna & Weron, Rafał, 2016. "Difficulty is critical: The importance of social factors in modeling diffusion of green products and practices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 723-735.
    7. Cambier, Adrien & Chardy, Matthieu & Figueiredo, Rosa & Ouorou, Adam & Poss, Michael, 2022. "Optimizing subscriber migrations for a telecommunication operator in uncertain context," European Journal of Operational Research, Elsevier, vol. 298(1), pages 308-321.
    8. Baburin, Vyacheslav & Zemtsov, Stepan, 2014. "Diffussion of ICT-products and "five Russias"," MPRA Paper 68926, University Library of Munich, Germany, revised 10 May 2014.
    9. Guerzoni, Marco & Jordan, Alexander, 2016. "“Cursed is the ground because of you”: Religion, Ethnicity, and the Adoption of Fertilizers in Rural Ethiopia," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201605, University of Turin.
    10. Manqi (Maggie) Li & Yan Huang & Amitabh Sinha, 2020. "Data-Driven Promotion Planning for Paid Mobile Applications," Information Systems Research, INFORMS, vol. 31(3), pages 1007-1029, September.
    11. Philip Hans Franses & Madesta Lede, 2017. "Adoption of Falsified Medical Products in a Low-Income Country: Empirical Evidence for Suriname," Sustainability, MDPI, vol. 9(10), pages 1-18, September.
    12. Tiruwork B. Tibebu & Eric Hittinger & Qing Miao & Eric Williams, 2024. "Adoption Model Choice Affects the Optimal Subsidy for Residential Solar," Energies, MDPI, vol. 17(3), pages 1-19, February.
    13. Simon P. Anderson & André de Palma, 2012. "Competition for attention in the Information (overload) Age," RAND Journal of Economics, RAND Corporation, vol. 43(1), pages 1-25, March.
    14. Gaurav, Kumar & Ghosh, Sayantari & Bhattacharya, Saumik & Singh, Yatindra Nath, 2019. "Ensuring the Spread of Referral Marketing Campaigns: A Quantitative Treatment," SocArXiv 6spnr, Center for Open Science.
    15. Watanabe, Chihiro & Yong Hur, Jae & Lei, Shanyu, 2006. "Converging trend of innovation efforts in high technology firms under paradigm shift--a case of Japan's electrical machinery," Omega, Elsevier, vol. 34(2), pages 178-188, April.
    16. Cardol, Hanna & Mignon, Ingrid & Lantz, Björn, 2025. "Rethinking the forecasting of innovation diffusion: A combined actor- and system approach," Technological Forecasting and Social Change, Elsevier, vol. 214(C).
    17. Thomas L. Magnanti, 2021. "Optimization: From Its Inception," Management Science, INFORMS, vol. 67(9), pages 5349-5363, September.
    18. Nguyen Thi Bich Tram, 2022. "Coordinating supply and demand applied Bass diffusion modelling," HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ECONOMICS AND BUSINESS ADMINISTRATION, HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, HO CHI MINH CITY OPEN UNIVERSITY, vol. 12(2), pages 82-95.
    19. Michael Braun & André Bonfrer, 2011. "Scalable Inference of Customer Similarities from Interactions Data Using Dirichlet Processes," Marketing Science, INFORMS, vol. 30(3), pages 513-531, 05-06.
    20. Marianela Fornerino, 2002. "Les modèles de diffusion d'innovations en marketing et l'adoption d'Internet en France," Grenoble Ecole de Management (Post-Print) hal-00455217, HAL.

    More about this item

    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:sae:jocore:v:29:y:1985:i:1:p:3-32. 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: SAGE Publications (email available below). General contact details of provider: http://pss.la.psu.edu/ .

    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.