Evidence map›Paper›PMID 40001859›Full record

ArticleBehavioral sciences (Basel, Switzerland)2025

Can Digital Human Capital Promote Farmers' Willingness to Engage in Green Production? Exploring the Role of Online Learning and Social Networks.

Siyu Gong, Ludi Jiang, Zhigang Yu

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Siyu GongCollege of Economics and Management, Northeast Agricultural University, Harbin 150030, China.
Ludi JiangCollege of Economics and Management, Northeast Agricultural University, Harbin 150030, China.
Zhigang YuCollege of Economics and Management, Northeast Agricultural University, Harbin 150030, China.

Funding

Key Program of National Social Science Foundation of China 24AJY028Supported By Program for Young Talents of Basic Research in Universities of Heilongjiang Province YQJH2024018
6 · The paper itself

Abstract

The development of rural digitalization has become a key driving force for promoting green agricultural production. However, in practical operations, due to the insufficient digital skills and lack of necessary digital human capital among farmers, they struggle to distinguish between green production methods and traditional practices, which in turn reduces their willingness to adopt green production. This study employed empirical research methods to collect data from 854 farmers in China's largest grain-producing region and used the Probit model to analyze the impact of digital human capital on farmers' willingness to engage in green production. The results indicate that an increase in digital human capital can significantly enhance farmers' willingness to engage in green production. Additionally, it was found that online learning can enhance farmers' willingness towards green production, with informal online learning proving more effective. Further analysis revealed that social networks play a mediating role between digital human capital and farmers' willingness to engage in green production. The study also explored the heterogeneous impact of digital human capital on different groups of farmers, highlighting that increases in digital human capital have a more pronounced effect on the willingness of small-scale farmers and middle-aged farmers to engage in green production. Therefore, continuously enhancing digital human capital, emphasizing diverse learning channels, and leveraging 'acquaintance networks' to encourage farmers to improve their awareness of green production through digital platforms are critical for promoting sustainable green agriculture in developing countries.

Indexed as

digital human capitalfarmers’ willingness to engage in green productiononline learningsocial networks

Identifiers

PMID40001859
PMCPMC11852135

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.