Evidence map›Paper›PMID 39765523›Full record

ArticleAnimals : an open access journal from MDPI2024

The Political Salience of Animal Protection in the Republic of Ireland (2011-2020): What Do Irish Political Parties Pledge on Animal Welfare and Wildlife Conservation?

Annick Hus, Steven P McCulloch

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Annick HusEdinburgh Medical School, Biomedical Sciences, Hugh Robson Building, Edinburgh EH8 9XD, UK.ORCID 0000-0003-4931-6041
Steven P McCullochCentre for Animal Welfare, University of Winchester, Winchester SO22 4NR, UK.ORCID 0000-0003-2161-1911

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ireland is the largest beef trader and a major dairy exporter within the European Union. Horse racing holds significant cultural value, while greyhound racing is economically important at the regional level. As public concern about farm animal welfare rises and biodiversity loss intensifies, this research examines the political salience of animal protection in Ireland across the 2011, 2016, and 2020 general elections. Political salience measures the degree of public concern about political issues, with party manifestos serving as indicators of this concern. Using both quantitative and qualitative methods, this study analysed 364 statements on animal protection from Fianna Fáil, Fine Gael, the Green Party, the Labour Party, and Sinn Féin. The results show a significant increase in the frequency and positivity of animal protection statements over the course of the election period, with a shift in the attitudes of Fianna Fáil and Fine Gael. The Green Party has consistently promoted progressive animal protection policies. Key issues such as farmed animal welfare, wildlife and biodiversity, and horse and greyhound racing have gained prominence in party manifestos, also reflecting economic influences. Despite this growing focus, critical issues such as the puppy trade and certain aspects of farmed animal welfare remain underrepresented. This research provides the first comprehensive academic analysis of animal protection policy in political party manifestos in the Republic of Ireland.

Indexed as

animal protectionanimal welfareconservationissue salienceparty politicisationRepublic of Ireland

Identifiers

PMID39765523
PMCPMC11672815

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.