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PERSPECTIVE article

Front. Vet. Sci.
Sec. Animal Behavior and Welfare
Volume 12 - 2025 | doi: 10.3389/fvets.2025.1556475
This article is part of the Research Topic The Future of Farm Animal Welfare Science: Selected Papers from the 9th International Conference on the Welfare Assessment of Animals at Farm Level (WAFL) View all articles

Beyond Ordinal Scales: Making Animal Welfare Count in Policy Analysis

Provisionally accepted
  • Texas State University, San Marcos, United States

The final, formatted version of the article will be published soon.

    Animal welfare is typically assessed using ordinal scales. That is, standard welfare assessment tools rank conditions relative to one another without claiming that one condition is worse than another by some specific magnitude. However, there are some practical purposes for which ordinal scales are insufficient, such as accounting for animal welfare in policy analysis. Here, I argue that insofar as we want standard policy analysis tools to capture impacts on animal welfare in a way that is scope sensitive—that is, in a way that properly recognizes differences in the number of animals affected—we need ways of representing animal welfare on ratio scales, not merely ordinal ones. Then, I briefly explain how some economists, who play important roles in policy analysis, are beginning to do this without the assistance of animal welfare scientists, veterinarians, and others. So, this perspective article serves as a call to those stakeholders, inviting them to collaborate with economists and policy analysts to improve existing methods or develop better alternatives that meet current needs.

    Keywords: Animal Welfare, Benefit cost analysis (BCA), Policy Analysis, Economics, Ratio scale

    Received: 07 Jan 2025; Accepted: 07 Feb 2025.

    Copyright: © 2025 Fischer. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Bob Fischer, Texas State University, San Marcos, United States

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.