Evidence map›Paper›PMID 41112740›Full record

ArticleFrontiers in nutrition2025

The impact of modern agricultural technology promotion and adoption on agri-food system resilience.

Yuting Zhang, Juan Shang, Ziling Yu

Abstract read
In one paragraph

Article in Frontiers in nutrition, 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

3 authors.

Yuting ZhangSchool of Economics and Management, Xidian University, Xi'an, China.
Juan ShangSchool of Economics and Management, Xidian University, Xi'an, China.
Ziling YuSchool of Economics and Management, Xinjiang University, Urumqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enhancing agri-food system resilience holds profound strategic significance for ensuring food security in developing countries. This study constructs an evolutionary game model at the county level to theoretically explore the positive effects of modern agricultural technology promotion and adoption on agri-food system resilience. Based on panel data from 2,312 counties in China during the period 2006-2023, and using the National Modern Agricultural Demonstration Zone policy as a quasi-natural experiment, the study employs a multi-period difference-in-differences approach to rigorously investigate the effects and underlying mechanisms of modern agricultural technology promotion and adoption on agri-food system resilience. The empirical findings indicate that: (1) The diffusion of modern agricultural technologies significantly enhances agri-food system resilience, and this conclusion remains robust after a series of consistency checks. (2) Mechanism analysis shows that modern agricultural technology diffusion improves resilience by enhancing agricultural technological innovation capacity, increasing local government attention to agriculture, promoting agricultural financial development, and improving urban-rural coordination. (3) Heterogeneity analysis reveals that the positive impact of modern agricultural technology diffusion is more pronounced in counties with labor outflow, in non-major grain-producing regions, in the second and third batches of National Modern Agricultural Demonstration Zone, in Han Chinese districts, and in counties with higher levels of education. (4) Kernel density analysis demonstrates that modern agricultural technology diffusion has contributed to narrowing the disparities in agri-food system resilience across counties. These findings provide valuable empirical evidence and policy insights for developing countries seeking to bolster agri-food system resilience and safeguard food security.

Indexed as

Agri-food system resiliencefood securitymodern agricultural technologyNational Modern Agricultural Demonstration Zonepromotion and adoption

Identifiers

PMID41112740
PMCPMC12527850

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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.