Evidence map›Paper›PMID 41035240›Full record

ArticleAnimal bioscience2025

Policy recommendations for sustainable livestock farming in South Korea: review.

Inkuk Yoon, Jong Hyun Jung, Sang-Hyon Oh, Sung Woo Kim

Abstract read
In one paragraph

Article in Animal bioscience, 2025. 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

4 authors.

Inkuk YoonDepartment of Animal Science, North Carolina State University, Raleigh, NC, USA.
Jong Hyun JungJung P&C Institute, Yongin, Korea.
Sang-Hyon OhDivision of Animal Science, Gyeongsang National University, Jinju, Korea.
Sung Woo KimDepartment of Animal Science, North Carolina State University, Raleigh, NC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to investigate the transition towards sustainable livestock farming, emphasizing the role of policy instruments, challenges in implementation, and future directions. There are many ways to help move towards sustainable livestock farming. The primary methods in major Organization for Economic Co-operation and Development (OECD) countries are regulation, economic incentives, and supportive measures. The most important tools are regulation and financial support. This study looked at the effectiveness of these tools, the role of government in supporting sustainable livestock, and ways to improve these policies. It also discussed using smart technology for sustainable farming, introducing a certification system for sustainable livestock products, increasing public interest and willingness to pay for sustainable products, training future experts, and creating partnerships between the public and private sectors. The study concluded that effective policy implementation requires a combination of regulation and support. Necessary regulations should be applied with enough time and agreement from society, even if the livestock industry opposes. Support policies are currently scattered and not well-connected, so they need to be comprehensively linked to sustainable livestock farming. It is important to have a consistent policy system that sets measurable goals, provides budget support, and evaluates performance step by step to achieve the goal of sustainable livestock farming in South Korea.

Indexed as

Digital TransformationEconomic IncentivesManure ManagementPublic-private GovernanceSouth KoreaSustainable Livestock Farming

Identifiers

PMID41035240
PMCPMC12580967

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.