IDEAS home Printed from https://ideas.repec.org/h/elg/eechap/16254_3.html
   My bibliography  Save this book chapter

Globalization and the desire for authoritarianism

In: Authoritarian Capitalism in the Age of Globalization

Author

Listed:
  • .

Abstract

This chapter looks more in depth at how economic discourses of globalization are catalyzing popular desires for political authoritarianism. Specifically, it contends that the portrayal of corporate globalization as “inevitable” and “necessary” creates an intensified desire for individual and collective sovereignty. Rather than simply be a “subjectless” part of the inexorable and unavoidable spread of an international financial regime, people affectively embrace their right and ability to shape this process to their own advantage – to be, in this sense, a subject of globalization instead of merely being subjected to it. As will be shown, this fantasy of sovereignty associated with globalization is quite conducive to conventional authoritarianism, and ironically serves to provide a popular legitimacy to capitalism’s ongoing structural necessity of a regulative state for its survival and growth.

Suggested Citation

  • ., 2016. "Globalization and the desire for authoritarianism," Chapters, in: Authoritarian Capitalism in the Age of Globalization, chapter 3, pages 29-44, Edward Elgar Publishing.
  • Handle: RePEc:elg:eechap:16254_3
    as

    Download full text from publisher

    File URL: https://www.elgaronline.com/view/9781784713133.00008.xml
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Zhang, Xingping & Liang, Yanni & Yu, Enhai & Rao, Rao & Xie, Jian, 2017. "Review of electric vehicle policies in China: Content summary and effect analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 698-714.
    2. Can Şener, Şerife Elif & Sharp, Julia L. & Anctil, Annick, 2018. "Factors impacting diverging paths of renewable energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2335-2342.
    3. Yang, Woosuk, 2018. "A user-choice model for locating congested fast charging stations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 189-213.
    4. Li, Qing'an & Maeda, Takao & Kamada, Yasunari & Hiromori, Yuto, 2018. "Investigation of wake characteristic of a 30 kW rated power Horizontal Axis Wind Turbine with wake model and field measurement," Applied Energy, Elsevier, vol. 225(C), pages 1190-1204.
    5. Loeb, Benjamin & Kockelman, Kara M., 2019. "Fleet performance and cost evaluation of a shared autonomous electric vehicle (SAEV) fleet: A case study for Austin, Texas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 374-385.
    6. Gardas, Bhaskar B. & Raut, Rakesh D. & Narkhede, Balkrishna, 2017. "Modeling causal factors of post-harvesting losses in vegetable and fruit supply chain: An Indian perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1355-1371.
    7. Poulsen, Thomas & Lema, Rasmus, 2017. "Is the supply chain ready for the green transformation? The case of offshore wind logistics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 758-771.
    8. Shayegh, Soheil & Sanchez, Daniel L. & Caldeira, Ken, 2017. "Evaluating relative benefits of different types of R&D for clean energy technologies," Energy Policy, Elsevier, vol. 107(C), pages 532-538.
    9. Milena Keskin, 2016. "Trendy rozwojowe franchisingu w Polsce i Europie / Franchising development trends in Poland and Europe," International Economics, University of Lodz, Faculty of Economics and Sociology, issue 13, pages 53-70, March.
    10. Rogeau, A. & Girard, R. & Kariniotakis, G., 2017. "A generic GIS-based method for small Pumped Hydro Energy Storage (PHES) potential evaluation at large scale," Applied Energy, Elsevier, vol. 197(C), pages 241-253.
    11. Brandstätter, Georg & Kahr, Michael & Leitner, Markus, 2017. "Determining optimal locations for charging stations of electric car-sharing systems under stochastic demand," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 17-35.
    12. Dalton, Gordon & Bardócz, Tamás & Blanch, Mike & Campbell, David & Johnson, Kate & Lawrence, Gareth & Lilas, Theodore & Friis-Madsen, Erik & Neumann, Frank & Nikitas, Nikitakos & Ortega, Saul Torres &, 2019. "Feasibility of investment in Blue Growth multiple-use of space and multi-use platform projects; results of a novel assessment approach and case studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 107(C), pages 338-359.

    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:elg:eechap:16254_3. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Darrel McCalla (email available below). General contact details of provider: http://www.e-elgar.com .

    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.