IDEAS home Printed from https://ideas.repec.org/a/wly/reggov/v14y2020i4p653-673.html
   My bibliography  Save this article

Why do junctures become critical? Political discourse, agency, and joint belief shifts in comparative perspective

Author

Listed:
  • Adrian Rinscheid
  • Burkard Eberlein
  • Patrick Emmenegger
  • Volker Schneider

Abstract

Why do junctures become critical in some cases but not in others? Building on the critical juncture framework and perspectives on the formation and diffusion of beliefs, we develop a theoretically parsimonious and empirically traceable account of divergence in institutional outcomes. By illuminating the role of agency and joint belief shifts we further open the “black box” of critical junctures. In particular, we develop the argument that the role agents play is conditioned by conflict lines that structure an institutional field before a juncture sets in. Empirically, we trace political discourses around the 2011 Fukushima nuclear accident in Canada, Germany, and Japan using discourse network analysis. Through comparative investigation, we empirically show that discursive interactions during potential critical junctures indicate institutional outcomes that are shaped by causally relevant historical legacies.

Suggested Citation

  • Adrian Rinscheid & Burkard Eberlein & Patrick Emmenegger & Volker Schneider, 2020. "Why do junctures become critical? Political discourse, agency, and joint belief shifts in comparative perspective," Regulation & Governance, John Wiley & Sons, vol. 14(4), pages 653-673, October.
    • Handle: RePEc:wly:reggov:v:14:y:2020:i:4:p:653-673
    DOI: 10.1111/rego.12238
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/rego.12238
    Download Restriction: no
    File URL: https://libkey.io/10.1111/rego.12238?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. repec:cup:cbooks:9780511771576 is not listed on IDEAS
    2. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    3. Easley,David & Kleinberg,Jon, 2010. "Networks, Crowds, and Markets," Cambridge Books, Cambridge University Press, number 9780521195331, October.
    4. Pierson, Paul, 2000. "Increasing Returns, Path Dependence, and the Study of Politics," American Political Science Review, Cambridge University Press, vol. 94(2), pages 251-267, June.
    5. Valentine, Scott Victor & Sovacool, Benjamin K., 2010. "The socio-political economy of nuclear power development in Japan and South Korea," Energy Policy, Elsevier, vol. 38(12), pages 7971-7979, December.
    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. Geels, Frank W., 2022. "Causality and explanation in socio-technical transitions research: Mobilising epistemological insights from the wider social sciences," Research Policy, Elsevier, vol. 51(6).
    2. Schneider, Nina & Rinscheid, Adrian, 2024. "The (de-)construction of technology legitimacy: Contending storylines surrounding wind energy in Austria and Switzerland," Technological Forecasting and Social Change, Elsevier, vol. 198(C).

    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. Pongou, Roland & Serrano, Roberto, 2013. "Dynamic Network Formation in Two-Sided Economies," MPRA Paper 46021, University Library of Munich, Germany.
    2. Ming Hu & Joseph Milner & Jiahua Wu, 2016. "Liking and Following and the Newsvendor: Operations and Marketing Policies Under Social Influence," Management Science, INFORMS, vol. 62(3), pages 867-879, March.
    3. Carolina Castaldi & Giovanni Dosi, 2003. "The Grip of History and the Scope for Novelty: Some Results and Open Questions on Path Dependence in Economic Processes," LEM Papers Series 2003/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Saul Estrin & Susanna Khavul & Mike Wright, 2022. "Soft and hard information in equity crowdfunding: network effects in the digitalization of entrepreneurial finance," Small Business Economics, Springer, vol. 58(4), pages 1761-1781, April.
    5. Norman Schofield, 2015. "Climate Change, Collapse and Social Choice Theory," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 9(1), pages 007-035, October.
    6. Uwe Cantner & Simone Vannuccini, 2017. "Innovation and lock-in," Chapters, in: Harald Bathelt & Patrick Cohendet & Sebastian Henn & Laurent Simon (ed.), The Elgar Companion to Innovation and Knowledge Creation, chapter 11, pages 165-181, Edward Elgar Publishing.
    7. Grazia Cecere & Nicoletta Corrocher & Cédric Gossart & Muge Ozman, 2014. "Lock-in and path dependence: an evolutionary approach to eco-innovations," Journal of Evolutionary Economics, Springer, vol. 24(5), pages 1037-1065, November.
    8. Pongou, Roland & Serrano, Roberto, 2016. "Volume of trade and dynamic network formation in two-sided economies," Journal of Mathematical Economics, Elsevier, vol. 63(C), pages 147-163.
    9. Bekius, Femke & Meijer, Sebastiaan & de Bruijn, Hans, 2018. "Collaboration patterns in the Dutch railway sector: Using game concepts to compare different outcomes in a unique development case," Research in Transportation Economics, Elsevier, vol. 69(C), pages 360-368.
    10. Bahar, Gal & Arieli, Itai & Smorodinsky, Rann & Tennenholtz, Moshe, 2020. "Multi-issue social learning," Mathematical Social Sciences, Elsevier, vol. 104(C), pages 29-39.
    11. Ron W. NIELSEN, 2016. "Mathematical Analysis of Historical Income Per Capita Distributions," Turkish Economic Review, KSP Journals, vol. 3(2), pages 300-319, June.
    12. Sanjeev Goyal, 2015. "Networks in Economics: A Perspective on the Literature," Cambridge Working Papers in Economics 1548, Faculty of Economics, University of Cambridge.
    13. Chollete, Loran, 2011. "A Model of Endogenous Extreme Events," UiS Working Papers in Economics and Finance 2012/2, University of Stavanger.
    14. Yuval Peres & Miklos Z. Racz & Allan Sly & Izabella Stuhl, 2017. "How fragile are information cascades?," Papers 1711.04024, arXiv.org, revised Feb 2018.
    15. Ron W. NIELSEN, 2016. "The Unresolved Mystery of the Great Divergence is Solved," Journal of Economic and Social Thought, KSP Journals, vol. 3(2), pages 196-219, June.
    16. Guodong Shi & Alexandre Proutiere & Mikael Johansson & John S. Baras & Karl H. Johansson, 2016. "The Evolution of Beliefs over Signed Social Networks," Operations Research, INFORMS, vol. 64(3), pages 585-604, June.
    17. Joohyun Kim & Ohsung Kwon & Duk Hee Lee, 2019. "Observing Cascade Behavior Depending on the Network Topology and Transaction Costs," Computational Economics, Springer;Society for Computational Economics, vol. 53(1), pages 207-225, January.
    18. Femke Bekius & Sebastiaan Meijer & Hugo Thomassen, 2022. "A Real Case Application of Game Theoretical Concepts in a Complex Decision-Making Process: Case Study ERTMS," Group Decision and Negotiation, Springer, vol. 31(1), pages 153-185, February.
    19. Chang, Eric C. & Cheng, Joseph W. & Khorana, Ajay, 2000. "An examination of herd behavior in equity markets: An international perspective," Journal of Banking & Finance, Elsevier, vol. 24(10), pages 1651-1679, October.
    20. Blazquez-Soriano, Amparo & Ramos-Sandoval, Rosmery, 2022. "Information transfer as a tool to improve the resilience of farmers against the effects of climate change: The case of the Peruvian National Agrarian Innovation System," Agricultural Systems, Elsevier, vol. 200(C).

    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:wly:reggov:v:14:y:2020:i:4:p:653-673. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1748-5991 .

    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.