Evidence map›Paper›PMID 41580808›Full record

ArticlePorcine health management2026

The impact of swine diseases on total factor productivity of pig farms of different scales in China.

Zhen Xu, Xiangdong Hu, Fengqi Xu, Haizhao Zhang, Hui Zhou

Abstract read
In one paragraph

Article in Porcine health management, 2026. 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

5 authors.

Zhen XuInstitute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing, China.
Xiangdong Hu *Institute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing, China.
Fengqi XuInstitute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing, China.
Haizhao ZhangInstitute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing, China.
Hui ZhouInstitute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing, China. zhouhui@caas.cn.

Funding

Central Public-interest Scientific Institution Basal Research Fund 1610052025041The Agricultural Science and Technology Innovation Program 10-IAED-01-2025The National Natural Science Foundation of China 72033009
6 · The paper itself

Abstract

backgroundAnimal diseases threaten pig production by reducing growth efficiency and farm profitability. Total factor productivity (TFP), reflecting technological progress, organizational improvement, and resource allocation, provides a comprehensive measure of farm performance. Yet, the impact of diseases on TFP in pig farming remains unclear. This study examines the effects of animal diseases on TFP across different farm sizes in China using provincial panel data from 2007 to 2020.

resultsA 1% increase in disease cases raises TFP by 0.018 units in large-scale farms, reduces it by 0.041 units in small-scale farms, and shows no significant effect for medium-scale farms. Mechanism analysis indicates that diseases mainly affect TFP through technical change, while heterogeneity analysis shows stronger effects in major pig-producing regions.

conclusionsDiseases, though adverse shocks, have spurred technological progress and TFP in large-scale farms but significantly constrained TFP in small-scale farms. These findings underscore the need to promote technological innovation, account for scale heterogeneity in policy design, and strengthen the resilience of small- and medium-scale farms to ensure sustainable development of the swine industry.

Indexed as

Animal health economicsChina swine industryDEA-malmquist indexScale heterogeneityTwo-way fixed effects model

Identifiers

PMID41580808
PMCPMC12937567

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Registered trials

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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.