IDEAS home Printed from https://ideas.repec.org/p/ags/eaae25/396213.html

How can data from different sources be combined to improve the reliability of the dataset to produce robust results in animal welfare impact assessments?

Author

Listed:
  • Thobe, Petra
  • Chibanda, Craig
  • Boimah, Mavis
  • Banhazi, Thomas

Abstract

There is a general consensus that improved animal welfare (AW) benefits both farmed animals and humans. However, the types of animal welfare measures that can be implemented at different stages of the value chain vary considerably. In order to reliably assess their socio-economic and environmental impacts, an appropriate dataset is essential. This study aims to report on the process of data collection for the assessment of animal welfare strategies in the broiler and pig production chains. Therefore, this study details the identification and validation of indicators, the development and validation of questionnaires, and the data collection process on different stages of the production chain. The study contributes to the debate on how to combine data from different sources to obtain a reliable dataset. The data collection strategy is illustrated by an intervention study on how weight sensors in pig fattening can alert possible diseases and avoid additional costs.

Suggested Citation

  • Thobe, Petra & Chibanda, Craig & Boimah, Mavis & Banhazi, Thomas, 2025. "How can data from different sources be combined to improve the reliability of the dataset to produce robust results in animal welfare impact assessments?," 2025 International Congress, August 26-29, 2025, Bonn, Germany 396213, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaae25:396213
    DOI: 10.22004/ag.econ.396213
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/396213/files/EAAE_Long%20Abstract_TI_Innotech-10Febr25_.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.396213?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
    ---><---

    More about this item

    Keywords

    ;

    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:ags:eaae25:396213. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/eaaeeea.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.