Evidence map›Paper›PMID 36141810›Full record

ArticleInternational journal of environmental research and public health2022

Research on the Impact of Members' Social Capital within Agricultural Cooperatives on Their Adoption of IPM in China.

Yuying Liu, Ziqi Liu, Jingzheng Liu, Ling Qiu, Yulin Wang, Xinhong Fu

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. 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

6 authors.

Yuying LiuCollege of Management, Sichuan Agricultural University, Chengdu 611130, China.ORCID 0000-0003-1368-4889
Ziqi LiuCollege of Management, Sichuan Agricultural University, Chengdu 611130, China.
Jingzheng LiuCollege of Management, Sichuan Agricultural University, Chengdu 611130, China.
Ling QiuCollege of Management, Sichuan Agricultural University, Chengdu 611130, China.
Yulin WangCollege of Management, Sichuan Agricultural University, Chengdu 611130, China.
Xinhong FuCollege of Management, Sichuan Agricultural University, Chengdu 611130, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Agricultural cooperatives are effective facilitators of green production technology promotion. What is the role of social capital within agricultural cooperatives with the most competitive advantage in technology promotion? Using the survey data of 465 citrus-planting cooperative members in Sichuan Province, this study uses the IV-probit model and mediating effect model to analyze the impact role of social capital within agricultural cooperatives on its members' adoption of integrated pest management (IPM) technology. The bootstrap method is also used to test the robustness of the parameter estimates. The results show that: (1) the social capital within agricultural cooperatives has a significant positive impact on IPM adoption; (2) cooperative members' IPM cognition has a partial mediating effect on the impact of the social capital within agricultural cooperatives on its members' adoption of IPM technology (more than 51.37%). Therefore, among all the optional IPM technology promotion measures of cooperatives, multi-dimensional accumulation of the social capital within agricultural cooperatives and promotion of IPM technology awareness level of members is a viable path.

Indexed as

Social CapitalAgricultureChinaPest Controlagricultural cooperativesgreen production technologyIPM adoptionIV probit modelmediating effect

Identifiers

PMID36141810
PMCPMC9517104

What OpenQuestion holds

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LicenceCC BY
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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.