Evidence map›Paper›PMID 40743133›Full record

ArticlePloS one2025

Government subsidy research on the application of IoT technology in contract-farming supply chain.

Xideng Zhou, Yuan Peng, Bing Xu, Wan-Zhi Xiong, Xiao-Mei Peng

Abstract read
In one paragraph

Article in PloS one, 2025. 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

5 authors.

Xideng ZhouSchool of Economics and Management, Yuzhang Normal University, Nanchang, China.ORCID https://orcid.org/0000-0002-1348-4732
Yuan PengSchool of Computer Science and Engineering, Jiangxi Agricultural University, Nanchang, China.
Bing XuSchool of Public Policy and Administration, Nanchang University, Nanchang, China.
Wan-Zhi XiongNanchang Shenzhen Agricultural Products Center Wholesale Market Co., Ltd, Nanchang, China.
Xiao-Mei PengSchool of Economics and Management, Yuzhang Normal University, Nanchang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Existing research have not yet focused on the mechanism of Internet of Things(IoT) technology's impact on the contract-farming supply chain.We introduce the IoT technology into the contract-farming supply chain with financing, successively construct decision models for the contract-farming supply chain under the scenarios of no subsidy policy, interest rate subsidy policy, and cost subsidy policy. The results show that an increase in bank interest rate will reduce the level of IoT application, purchasing price, members benefits. When the financing interest rate is within a certain range, members benefits in the case of interest rate subsidy policy are greater than the corresponding values in the case of cost subsidy policy. In the case of no subsidy policy, interest rate subsidy policy, and cost subsidy policy, the application level of the IoT, purchasing price, and the company benefit are positively correlated with the output effect factor of the IoT technology. The farmer will actively invest in the IoT only when the cost-reducing effect of IoT is substantial. When the government's subsidy expenditure is equal, if the goal is to increase social welfare, the government should adopt the interest rate subsidy policy; if the goal is to promote the popularization of IoT and help impoverished farmers, the government should adopt the cost subsidy policy.

Indexed as

ContractsFinancing, GovernmentInternet of ThingsHumans

Identifiers

PMID40743133
PMCPMC12393893

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.