ArticleScientific reports2025
Research on the impact of artificial intelligence applications on agricultural green development.
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.
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.
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.
Who cites it
1 citing paper in PubMed.
- Unpacking the mechanisms and consequences of artificial intelligence in enabling green value co-creation for SMEs.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A good ecological environment represents the most inclusive form of people's well-being, and it is also the greatest advantage and precious asset in rural areas. Therefore, it is of great significance to accelerate the green development of agriculture. Against the backdrop of building livable, industrious, and harmonious countryside, this paper, based on the urban data of the Yangtze River Economic Belt in China from 2011 to 2023, conducts an empirical analysis of the spatial impact and action mechanism of artificial intelligence on the green development of agriculture. The results show that artificial intelligence significantly promotes the green development of agriculture, and this conclusion remains valid after a series of robustness tests. Meanwhile, it is verified that artificial intelligence also has an impact on the green development of agriculture in neighboring areas, indicating the existence of spatial spillover effects. From the perspective of production factors, further research reveals that "the level of human capital" and "the ability of technological innovation" have become important channels through which artificial intelligence drives the green development of agriculture. In addition, by introducing the level of financial support for agriculture, it is found that the positive impact of artificial intelligence features a non-linear decrease in the "marginal effect". The results of the heterogeneity analysis show that artificial intelligence promotes the green development of agriculture to a greater extent in major grain-producing areas and regions covered by the middle and lower reaches of the Yangtze River, while its promoting effect in the northeastern region has not been prominent. This study not only helps to reveal the driving factors of the green development of agriculture in China in recent years, but also holds great significance for promoting the sustainable and stable green development of agriculture.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.