Evidence map›Paper›PMID 42620851›Full record

ArticleFrontiers in nutrition2026

The impact of digital rural construction on grain production resilience.

Xinyu Du

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

1 author.

Xinyu DuSchool of Economics and Management, Chongqing Normal University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ensuring resilient grain production is essential for food availability, price stability, and nutrition security under growing climatic, market, and geopolitical uncertainty. However, limited evidence explains how digital rural construction strengthens resilience specifically at the grain-production stage. Using panel data from 30 Chinese provinces from 2012 to 2023, this study constructs composite indices of digital rural construction and grain production resilience and applies a two-way fixed effects model, a mediation model, and a panel threshold model to examine its direct effect, transmission mechanism, and fiscal boundary condition. The results show that digital rural construction significantly improves grain production resilience, and this conclusion remains robust after sample adjustments, alternative variable measurement, and endogeneity tests. Heterogeneity analysis indicates stronger effects in western China, major grain-producing areas, and production-consumption balanced areas. Mechanism analysis shows that new quality agricultural productive forces partially mediate this relationship by upgrading agricultural labor, production tools, and factor allocation. The threshold results reveal two fiscal-support thresholds, 0.0699 and 0.1236: the effect of digital rural construction is strongest below the first threshold, weakens between the two thresholds, and becomes statistically insignificant above the second threshold. These findings provide policy evidence for strengthening food and nutrition security through digital rural development and more efficient fiscal support.

Indexed as

digital rural constructionfiscal support for agriculturegrain production resiliencenew quality agricultural productive forcesthreshold effect

Identifiers

PMID42620851
PMCPMC13485709

What OpenQuestion holds

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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.