Evidence map›Paper›PMID 38913683›Full record

ArticlePloS one2024

Boosting agricultural green development: Does socialized service matter?

Yongqi Yu, Zexin Chi, Yanfeng Yu, Junjie Zhao, Liulin Peng

Abstract read
In one paragraph

Article in PloS one, 2024. 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

5 authors.

Yongqi YuSchool of Economics and Management, Jiangxi Agricultural University, Nanchang, China.
Zexin ChiInstitute of Agricultural Economics and Information, Jiangxi Academy of Agricultural Sciences, Nanchang, China.
Yanfeng YuInstitute of Agricultural Economics and Information, Jiangxi Academy of Agricultural Sciences, Nanchang, China.
Junjie ZhaoInstitute of Agricultural Economics and Information, Jiangxi Academy of Agricultural Sciences, Nanchang, China.
Liulin PengInstitute of Agricultural Economics and Information, Jiangxi Academy of Agricultural Sciences, Nanchang, China.ORCID 0009-0002-8132-8659

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Agricultural socialized service is gradually emerging as a new stimulus for enhancing the agricultural production environment. However, their precise impact on improving the agricultural ecological environment and promoting the green development of agriculture remains incompletely understood. Therefore, leveraging panel data spanning from 2003 to 2020 across 31 provinces in China, this study utilizes the bidirectional fixed effect model, moderating effect model, and spatial Durbin model to systematically assess the influence of agricultural socialized services on agricultural green development and its spatial ramifications. The findings show that (I) agricultural socialized services significantly contribute to promoting agricultural green development, particularly in regions with lower aging demographics. (II) The application of the spatial Durbin model reveals that this promotional effect does not exhibit significant spatial spillover effect. (III) The role of agricultural socialized services in fostering agricultural green development can be significantly enhanced by advancements in land transfer, agricultural technological innovations, and the improvement of rural human capital. In conclusion, the study provides a set of policy recommendations that include government financial support, facilitating land transfer, improving rural education and technical training, and promoting green production technologies to effectively promote agricultural green development.

Indexed as

AgricultureChinaConservation of Natural ResourcesHumansRural Population

Identifiers

PMID38913683
PMCPMC11195981

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.