Evidence map›Paper›PMID 40748874›Full record

ArticlePloS one2025

Does microcredit for the poverty-alleviated population have an income-increasing effect? Also on the "Raising the Low" effect.

Yin Liu, Lu Fan, Binjian Yan

Abstract read
In one paragraph

Article in PloS one, 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

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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.

Yin LiuSchool of Economics and Management, Nanjing Agricultural University, Nanjing, Jiangsu, China.
Lu FanSchool of Urban Economics and Public Administration, Capital University of Economics and Business, Beijing, China.ORCID https://orcid.org/0009-0006-5607-4000
Binjian YanSchool of Economics and Management, Nanjing Agricultural University, Nanjing, Jiangsu, China.ORCID https://orcid.org/0009-0000-4561-1882

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Promoting the continuous income increase of the poverty-alleviated population has become one of the key tasks to consolidate the achievements of poverty alleviation, promote rural revitalization and achieve common prosperity. Based on the survey data of 738 farmers in six poverty-alleviated counties (cities) in an underdeveloped region in northwest China, this paper uses the endogenous transformation regression model to empirically explore the income-increasing effect of microcredit for the poverty-alleviated population, and uses the quantile regression model and OLS regression model to explore raising the low effect of microcredit for the poverty-alleviated population. The results show that: (1) Based on the counterfactual hypothesis, if the farmers who obtain microcredit for poverty-alleviated population are not loaned, their production and operating income will decrease by 3.31%, that is, microcredit has a significant income-increasing effect, and the income-increasing effect of obtaining microcredit for the poverty-alleviated population on the monitoring objects is greater than the households that have lifted out of poverty. (2) The mechanism of action shows that the microcredit policy for the poverty- alleviated population promotes income increase by promoting farmers to increase material capital investment and social capital investment. (3) The income-increasing effect of obtain microcredit for poverty-alleviated population on the low-income initial endowment farmers is greater than that on high-income initial endowment farmers, and farmers with low-land initial endowment have a higher income increase effect, that is, a 'raising the low ' effect. The overall efficiency effect on 'low→high 'initial endowment farmers shows a decreasing trend. Therefore, in order to ensure the effectiveness of financial precision assistance, we should promote the microcredit policy of the poverty-alleviated population from the aspects of policy stability and implementation precision.

Indexed as

IncomePovertyAgricultureChinaFarmersHumansRural Population

Identifiers

PMID40748874
PMCPMC12316256

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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.