IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/121358.html
   My bibliography  Save this paper

Extreme high temperatures and adaptation by social dynamics: Theory and Evidence from China

Author

Listed:
  • Shi, Xiangyu
  • Gong, Jiaowei
  • Zhang, Xin
  • Wang, Chang

Abstract

Using a novel city-level high-frequency panel data set of social and public events in Chinese cities, we document that extreme high temperatures significantly reshape social dynamics. Extreme high temperatures lead to an increase in social cooperation, and the effects are more salient when productivity is lower and labor is more intensively used. This implies extreme high temperatures boost the relative returns of cooperation given lowered productivity. Our estimates and quantitative model suggest that the human race adapts to global warming by reshaping its social dynamics: adaptation via social dynamics offsets about one-third of the negative impacts of extreme high temperatures on the economy.

Suggested Citation

  • Shi, Xiangyu & Gong, Jiaowei & Zhang, Xin & Wang, Chang, 2024. "Extreme high temperatures and adaptation by social dynamics: Theory and Evidence from China," MPRA Paper 121358, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:121358
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/121358/1/MPRA_paper_121358.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Social dynamics; Public events; Social cooperation; Protest; Temperatures; Climate change; China;
    All these keywords.

    JEL classification:

    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • D9 - Microeconomics - - Micro-Based Behavioral Economics
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

    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:pra:mprapa:121358. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.