IDEAS home Printed from https://ideas.repec.org/a/spr/jopoec/v36y2023i4d10.1007_s00148-023-00952-2.html
   My bibliography  Save this article

Technology and survival in preindustrial England: a Malthusian view

Author

Listed:
  • M. Aykut Attar

    (Hacettepe University, Beytepe Campus)

Abstract

This paper contributes to the debate on the evolution of living standards in preindustrial England. It emphasizes the need to depart from the approach of focusing only on the time paths of observables, like income per capita and population size, in order to assess the validity of Malthusian predictions. It first constructs a Malthusian model and then develops a robust algorithm for identifying the latent forces that have shaped aggregate outcomes in the preindustrial era. The analysis suggests the existence of two distinct Malthusian regimes in preindustrial England: a survival-driven regime, where mortality is the main latent force in economic-demographic interactions, and a later technology-driven regime that emerges after the mid-fifteenth century and is characterized by both population and productivity growth but stable mortality and long-run stagnation in per capita income. The paper discusses the role of various historical accidents (e.g., the Black Death, the discovery of the New World, the English Reformation) in triggering the emergence of the technology-driven regime, and it also highlights some mediating mechanisms through which subsequent productivity growth may have been sustained. The existence of long-run stagnation in income per capita in England through the mid-seventeenth century, despite the technological dynamism of the early modern period, is consistent with the predictions of Unified Growth Theory.

Suggested Citation

  • M. Aykut Attar, 2023. "Technology and survival in preindustrial England: a Malthusian view," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(4), pages 2071-2110, October.
  • Handle: RePEc:spr:jopoec:v:36:y:2023:i:4:d:10.1007_s00148-023-00952-2
    DOI: 10.1007/s00148-023-00952-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00148-023-00952-2
    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/s00148-023-00952-2?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.

    More about this item

    Keywords

    Malthus; Productivity; Mortality; Unified Growth Theory; Identification;
    All these keywords.

    JEL classification:

    • N33 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - Europe: Pre-1913
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

    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:jopoec:v:36:y:2023:i:4:d:10.1007_s00148-023-00952-2. 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: 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.