Evidence map›Paper›PMID 41731030›Full record

ArticleScientific reports2026

How does agricultural product quality and safety regulation drive agricultural economic growth: a quasi-natural experiment from China's agricultural product quality and safety county pilot policy.

Lei Zhang, Hongli Zhang

Abstract read
In one paragraph

Article in Scientific reports, 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.

Lei ZhangSchool of Economics and Management, Shihezi University, Shihezi, 832003, China.
Hongli ZhangSchool of Economics and Management, Shihezi University, Shihezi, 832003, China. zhl8291@shzu.edu.cn.

Funding

the National Natural Science Foundation of China 72063028the Social Science Foundation of the Corps 22YB13
6 · The paper itself

Abstract

The establishment of Agricultural Product Quality and Safety Counties not only enhances the quality and safety standards of agricultural products, effectively ensuring food safety and consumption security, but also holds significant implications for accelerating the transformation of agricultural development patterns and advancing modern agriculture. Based on panel data from 1,609 Chinese counties from 2010 to 2023, this study employs the national pilot policy for Agricultural Product Quality and Safety Counties as a quasi-natural experiment and utilizes a multi-period difference-in-differences approach to examine the impact of establishing these counties on agricultural economic growth and its underlying mechanisms. The findings reveal that: (1) the pilot policy significantly promotes county-level agricultural economic growth, a conclusion that remains robust after a series of robustness checks; (2) heterogeneity analysis indicates the policy's effects are more pronounced in central and eastern regions, major grain-producing areas, and regions with higher levels of economic development, digital infrastructure, and transportation facilities; (3) mechanism analysis demonstrates that the policy facilitates agricultural economic development by promoting expanded operational scale and the development of geographical indications. This study provides theoretical support and policy references for further expanding the Agricultural Product Quality and Safety County initiative and for government agencies to formulate development policies tailored to local conditions.

Indexed as

Agricultural economic growthMulti-period difference-in-differences methodQuality and safety of agricultural products

Identifiers

PMID41731030
PMCPMC13031951

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.