Evidence map›Paper›PMID 42358295›Full record

ArticleFrontiers in nutrition2026

China's criminal incidental civil public interest litigation in food safety: practice review and pathways to improvement.

Xiao Han, Bingxiang Li

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xiao HanDepartment of International Law, China Foreign Affairs University, Beijing, China.
Bingxiang LiDepartment of International Law, China Foreign Affairs University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Criminal deterrence and the restoration of public interests are integrated in the system of criminal incidental civil public interest litigation in the field of food safety. However, the inherent tension between criminal and civil law within this framework has created practical challenges. Methods: Drawing on an empirical analysis of 677 judicial judgments, this study identifies several systemic impediments to effective judicial decision-making. Results: First, an ambiguous definition of "social public interest" makes it difficult to initiate litigation and leads to the arbitrary extension of the case scope. Second, public interest repair is delayed by the rigid adherence to the principle of "criminal liability first, and then civil liability." Third, uncertainty regarding the applicable standards of proof arises because civil adjudication heavily relies on criminal proceedings. Furthermore, judicial discretion is unchecked in the application of punitive damages, judgments are not effectively enforced, and regulatory oversight is inadequate. Discussion: In light of the forthcoming Public Interest Litigation Law of the People's Republic of China, it is imperative to establish a flexible trial model oriented toward repair, to clarify the distinctions between criminal and civil standards of proof, and to further refine the rules governing the discretion and administration of punitive damages. The efficiency and effectiveness of this system can be enhanced by strengthening the procedural framework for criminal incidental civil public interest litigation, thereby contributing to comprehensive governance that integrates punishment, prevention, and repair in safeguarding food safety.

Indexed as

Chinese procuratorial public interest litigationcriminal precedencefood safetyplea leniencypunitive damages

Identifiers

PMID42358295
PMCPMC13292769

What OpenQuestion holds

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LicenceCC BY
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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.