Evidence map›Paper›PMID 39022106›Full record

ArticleHeliyon2024

Exploring the poverty-reduction benefits of agricultural machinery socialization services in China: Implications for the sustainable development of farmers.

Hailan Qiu, Mingrui Feng, Xueyi Zhang, Zhenjiang Song, Mingzhong Luo, Jiawei Wang, Feng Ye

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Hailan QiuSchool of Economics and Management, Jiangxi Agricultural University, Nanchang, 330045, China.
Mingrui FengSchool of Economics and Management, Jiangxi Agricultural University, Nanchang, 330045, China.
Xueyi ZhangSchool of Economics and Management, Jiangxi Agricultural University, Nanchang, 330045, China.
Zhenjiang SongSchool of Economics and Management, Jiangxi Agricultural University, Nanchang, 330045, China.
Mingzhong LuoSchool of Economics and Management, South China Agricultural University,Guangzhou, 510642, China.
Jiawei WangSchool of Digital Economy, Jiangxi Open University, Nanchang, 330046, China.
Feng YeSchool of Economics and Management, Jiangxi Agricultural University, Nanchang, 330045, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sustainable development is crucial for alleviating poverty among farmers. In this study, we examined the impact, and the mechanism underlying this impact, of the adoption of agricultural machinery services by farmers on their relative poverty from a multidimensional poverty perspective by employing the logit and ordered logit models and the Karlson-Holm-Breen (KHB) method. These results indicate that adopting agricultural machinery services can significantly reduce the probability of relative poverty among farmers, thereby expediting the sustainability of rural development. However, this poverty-reduction effect varies based on age and sex. The adoption of agricultural machinery services mainly reduces poverty by increasing farmers' human capital. Training in employment skills and non-agricultural work experience are the main transmission mechanisms. Therefore, the socialization of agricultural machinery services can be used as an effective policy tool to reduce relative poverty in developing countries, promote sustained improvements in farmers' incomes, and achieve sustainability in rural development.

Indexed as

Agricultural machinery serviceIncome sustainabilityKHB modelRelative poverty

Identifiers

PMID39022106
PMCPMC11252890

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.