Evidence map›Paper›PMID 39747408›Full record

ArticleScientific reports2025

Collaboration among governments, agribusinesses, and rural households for improving the effectiveness of conservation tillage technology adoption.

Shanshan Miao, Binghong Chen, Naihua Jiang

Abstract read
In one paragraph

Article in Scientific reports, 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.

Shanshan MiaoSuzhong Development Research Institute, Yangzhou University, Yangzhou, 225009, Jiangsu, China.
Binghong ChenBussiness School, Yangzhou University, Yangzhou, Jiangsu, 225009, China.
Naihua JiangBussiness School, Yangzhou University, Yangzhou, Jiangsu, 225009, China. nhjiang@yzu.edu.cn.

Funding

Postgraduate Research Innovation Program Project of Business School of Yangzhou University SXYYJSKC202338The National Social Science Foundation of China 22AGL024
6 · The paper itself

Abstract

Conservation tillage technology adoption has contributed significantly to sustainable agricultural development, but its effectiveness has been hindered by conflicts among governments, agribusinesses, and rural households. The collaboration among governments, agribusinesses, and rural households (GAR collaboration) is a significant institutional innovation for advancing green agricultural development. This study constructs a theoretical framework incorporating environmental characteristics, collaboration capacity, and the effectiveness of green agricultural technology adoption to analyze the impact and heterogeneity effects of GAR collaboration. Using village-level survey data from Shaanxi, Ningxia, and Gansu Provinces, with a focus on conservation tillage technology, this study explores the mechanisms by which GAR collaboration influences green technology adoption. The findings reveal that: (1) GAR collaboration mechanisms are crucial for improving the effectiveness of green agricultural technology adoption; (2) Environmental characteristics directly affect the adoption effectiveness and indirectly influence it through collaboration capacity; (3) Village size has a heterogeneous effect on the impact of GAR collaboration, being more pronounced in smaller villages; and (4) GAR collaboration primarily enhances the adoption effectiveness by reducing transaction costs and defection risks. These insights contribute to the theoretical foundations of collaborative approaches in green agriculture and provide practical solutions to improve technology adoption.

Indexed as

Adoption effectivenessCollaboration capacityConservation tillage technologyGovernment-agribusiness-rural household collaboration

Identifiers

PMID39747408
PMCPMC11697208

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.