IDEAS home Printed from https://ideas.repec.org/a/spr/joevec/v34y2024i4d10.1007_s00191-024-00876-4.html
   My bibliography  Save this article

Book review. J. Doyne Farmer, Making Sense of Chaos. A Better Economics for a Better World, Penguin (2024), pp. 364

Author

Listed:
  • Filip Lubinski

    (European University Institute)

Abstract

The following manuscript is a book review of J.D. Farmer's "Making Sense of Chaos: A Better Economics for a Better World" (2024). The review focuses on the importance of Farmer's work and its meaning in the ongoing discussion on the crisis of economics. Special attention is paid to a popular science aspect of the book and its ambitions connected to modern global challenges – the overgrowth of the financial system and climate change.

Suggested Citation

  • Filip Lubinski, 2024. "Book review. J. Doyne Farmer, Making Sense of Chaos. A Better Economics for a Better World, Penguin (2024), pp. 364," Journal of Evolutionary Economics, Springer, vol. 34(4), pages 1013-1017, December.
    • Handle: RePEc:spr:joevec:v:34:y:2024:i:4:d:10.1007_s00191-024-00876-4
    DOI: 10.1007/s00191-024-00876-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00191-024-00876-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s00191-024-00876-4?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Farmer, J. Doyne & Lafond, François, 2016. "How predictable is technological progress?," Research Policy, Elsevier, vol. 45(3), pages 647-665.
    2. Elizabeth Strober, 1998. "Interview with Barbara Bergmann," Feminist Economics, Taylor & Francis Journals, vol. 4(3), pages 5-6.
    Full references (including those not matched with items on IDEAS)

    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. Tamer Khraisha & Keren Arthur, 2018. "Can we have a general theory of financial innovation processes? A conceptual review," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 4(1), pages 1-27, December.
    2. Ives, Matthew & Cesaro, Zac & Bramstoft, Rasmus & Bañares-Alcántara, René, 2023. "Facilitating deep decarbonization via sector coupling of green hydrogen and ammonia," INET Oxford Working Papers 2023-04, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    3. Singh, Anuraag & Triulzi, Giorgio & Magee, Christopher L., 2021. "Technological improvement rate predictions for all technologies: Use of patent data and an extended domain description," Research Policy, Elsevier, vol. 50(9).
    4. Lafond, François & Bailey, Aimee Gotway & Bakker, Jan David & Rebois, Dylan & Zadourian, Rubina & McSharry, Patrick & Farmer, J. Doyne, 2018. "How well do experience curves predict technological progress? A method for making distributional forecasts," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 104-117.
    5. Klein, Martin & Deissenroth, Marc, 2017. "When do households invest in solar photovoltaics? An application of prospect theory," Energy Policy, Elsevier, vol. 109(C), pages 270-278.
    6. Hötte, Kerstin & Pichler, Anton & Lafond, François, 2021. "The rise of science in low-carbon energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    7. Krupa, Joel & Harvey, L.D. Danny, 2017. "Renewable electricity finance in the United States: A state-of-the-art review," Energy, Elsevier, vol. 135(C), pages 913-929.
    8. Maharjan, Prapti & Hauck, Mara & Kirkels, Arjan & Buettner, Benjamin & de Coninck, Heleen, 2024. "Deriving experience curves: A structured and critical approach applied to PV sector," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    9. Herche, Wesley, 2017. "Solar energy strategies in the U.S. utility market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 590-595.
    10. Francesco Lamperti & Giovanni Dosi & Andrea Roventini, 2025. "A Complex System Perspective on the Economics of Climate Change, Boundless Risk, and Rapid Decarbonization," LEM Papers Series 2025/16, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    11. Triulzi, Giorgio & Alstott, Jeff & Magee, Christopher L., 2020. "Estimating technology performance improvement rates by mining patent data," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    12. repec:osf:socarx:sruq7_v1 is not listed on IDEAS
    13. Newbery, David & Pollitt, Michael G. & Ritz, Robert A. & Strielkowski, Wadim, 2018. "Market design for a high-renewables European electricity system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 695-707.
    14. Parviz Sohrabi & Behshad Jodeiri Shokri & Hesam Dehghani, 2023. "Predicting coal price using time series methods and combination of radial basis function (RBF) neural network with time series," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 36(2), pages 207-216, June.
    15. Alex Coad & Gianluca Biggi & Elisa Giuliani, 2021. "Asbestos, leaded petrol, and other aberrations: comparing countries’ regulatory responses to disapproved products and technologies," Industry and Innovation, Taylor & Francis Journals, vol. 28(2), pages 201-233, February.
    16. Michael R. Douglas & Sergiy Verstyuk, 2025. "Progress in Artificial Intelligence and its Determinants," Papers 2501.17894, arXiv.org.
    17. David Dekker & Dimitirs Christopoulos & Heather McGregor, 2025. "Dynamic Structures of Knowledge Production: Citation Rates in Hydrogen Technologies," Papers 2502.00797, arXiv.org.
    18. Torsten Heinrich & Jangho Yang & Shuanping Dai, 2022. "Levels of structural change," Journal of Evolutionary Economics, Springer, vol. 32(1), pages 35-86, January.
    19. Elena Verdolini & Laura Díaz Anadón & Erin Baker & Valentina Bosetti & Lara Aleluia Reis, 2018. "Future Prospects for Energy Technologies: Insights from Expert Elicitations," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 12(1), pages 133-153.
    20. Sugandha Srivastav & Ryan Rafaty, 2023. "Political Strategies to Overcome Climate Policy Obstructionism," Papers 2304.14960, arXiv.org.
    21. Dosi, Giovanni & Grazzi, Marco & Mathew, Nanditha, 2017. "The cost-quantity relations and the diverse patterns of “learning by doing”: Evidence from India," Research Policy, Elsevier, vol. 46(10), pages 1873-1886.

    More about this item

    Keywords

    Complexity economics; Chaos theory; Economic models; Climate change; Financial markets; Evolutionary economics;
    All these keywords.

    JEL classification:

    • A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists
    • B52 - Schools of Economic Thought and Methodology - - Current Heterodox Approaches - - - Historical; Institutional; Evolutionary; Modern Monetary Theory;
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications

    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:spr:joevec:v:34:y:2024:i:4:d:10.1007_s00191-024-00876-4. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.