Evidence map›Paper›PMID 42840434›Full record

ArticleiScience2026

The chemical fertilizer reduction effect of specialty agriculture development in China.

Jiankui Shi, Qinshi Li, Hui Wang, Hui Zhou, Mengyu Cai, Xiangdong Hu

Abstract read
In one paragraph

Article in iScience, 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

6 authors.

Jiankui ShiInstitute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Qinshi LiSchool of Economics and Management, Beijing Forestry University, Beijing 100083, China.
Hui WangSchool of Economics and Management, Beijing Forestry University, Beijing 100083, China.
Hui ZhouInstitute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Mengyu CaiInstitute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Xiangdong HuInstitute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing 100081, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Specialty agriculture leverages distinctive local resources to differentiate products and enhance value, yet its role in reducing chemical fertilizer use remains underexplored. Treating China's Special Agricultural Product Advantage Zones policy as a quasi-natural experiment, this study evaluates the impact of specialty agriculture development on chemical fertilizer use. The results show that specialty agriculture development significantly reduces chemical fertilizer use, with an average decline of 8.9%. Agricultural green technology innovation, agricultural product branding, and the expansion of new-type agricultural business entities are potential channels. Improved digital infrastructure strengthens this effect. The effect is more pronounced for horticulture-oriented products, at higher quantiles of chemical fertilizer use, in central and western China, and in areas with better science-and-education support, greater market potential, and stronger informal institutions. Moreover, specialty agriculture development generates positive spillover effects. These findings provide policy implications for optimizing agricultural industrial policies and advancing the green transformation of agriculture.

Indexed as

agricultural green technology innovationagricultural product brandingchemical fertilizer usenew-type agricultural business entitiesspecialty agriculture development

Identifiers

PMID42840434
PMCPMC13639163

What OpenQuestion holds

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Registered trials

None linked

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.