IDEAS home Printed from https://ideas.repec.org/p/usi/wpaper/839.html

Seeing what can(not) be seen: confirmation bias, employment dynamics and climate change

Author

Listed:
  • Alessia Cafferata

  • Marwil J. Dávila-Fernández

  • Serena Sordi

Abstract

Psychologists among other behavioural scientists refer to the tendency of favouring, interpreting, and searching for information that supports one's prior beliefs as confirmation bias. Using Twitter data, we illustrate how this might affect environmental attitudes by contrasting #ClimateChangeIsReal and #ClimateChangeHoax engagement. Given the relevance of the topic to the field, we develop an agent-based model to investigate how employment conditions affect attitudes towards climate policies under such a cognitive bias. It is shown that persistent endogenous fluctuations might emerge via a super-critical Neimark-Sacker bifurcation. Furthermore, depending on the individual's response to the collective opinion, we might have coexistence of periodic attractors as a representation of path dependence. In terms of policy implications, we highlight that the adoption of a successful green-agenda depends on the ability of policy-makers to take advantage of favourable employment rates while appealing to different framing strategies.

Suggested Citation

  • Alessia Cafferata & Marwil J. Dávila-Fernández & Serena Sordi, 2020. "Seeing what can(not) be seen: confirmation bias, employment dynamics and climate change," Department of Economics University of Siena 839, Department of Economics, University of Siena.
  • Handle: RePEc:usi:wpaper:839
    as

    Download full text from publisher

    File URL: http://repec.deps.unisi.it/quaderni/839.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. is not listed on IDEAS
    2. Cahen-Fourot, Louison & Campiglio, Emanuele & Daumas, Louis & Miess, Michael Gregor & Yardley, Andrew, 2023. "Stranding ahoy? Heterogeneous transition beliefs and capital investment choices," Journal of Economic Behavior & Organization, Elsevier, vol. 216(C), pages 535-567.
    3. Sordi, Serena & Dávila-Fernández, Marwil J., 2023. "The green-MKS system: A baseline environmental macro-dynamic model," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 1056-1085.
    4. Alessia Cafferata & Marwil J. Dávila-Fernández, 2024. "How robust is the natalist bias of pollution control?," Annals of Operations Research, Springer, vol. 337(3), pages 1111-1133, June.
    5. Di Guilmi, Corrado & Galanis, Giorgos & Proaño, Christian R., 2023. "A Baseline Model of Behavioral Political Cycles and Macroeconomic Fluctuations," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 50-67.
    6. Campiglio, Emanuele & Lamperti, Francesco & Terranova, Roberta, 2024. "Believe me when I say green! Heterogeneous expectations and climate policy uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 165(C).
    7. Marwil J. Dávila-Fernández & Serena Sordi & Alessia Cafferata, 2024. "How do you feel about going green? Modelling environmental sentiments in a growing open economy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 19(4), pages 649-687, October.
    8. Yin, Zhujia & Deng, Rantian & Xia, Jiejin & Zhao, Lili, 2024. "Climate risk and corporate ESG performance: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).
    9. Grazini, Chiara & Guarini, Giulio & Porcile, Jose Gabriel, 2024. "Institutional change and ecological structural change," Structural Change and Economic Dynamics, Elsevier, vol. 71(C), pages 354-368.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • E71 - Macroeconomics and Monetary Economics - - Macro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on the Macro Economy
    • O44 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Environment and Growth
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

    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:usi:wpaper:839. 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: Fabrizio Becatti (email available below). General contact details of provider: https://edirc.repec.org/data/desieit.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.