Evidence map›Paper›PMID 36674389›Full record

ArticleInternational journal of environmental research and public health2023

Poverty Alleviation Relocation, Fuelwood Consumption and Gender Differences in Human Capital Improvement.

Yongtian Zhu, Shigemitsu Shibasaki, Rui Guan, Jin Yu

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

4 authors.

Yongtian ZhuCollege of Economics and Management, Northwest A&F University, Yangling 712100, China.ORCID 0000-0002-4349-8705
Shigemitsu ShibasakiGraduate School of Agricultural and Life Sciences, University of Tokyo, Bunkyo-ku, Tokyo 113-8657, Japan.
Rui GuanSchool of Politics and Public Administration, Zhengzhou University, Zhengzhou 450001, China.ORCID 0000-0003-0175-5299
Jin YuCollege of Economics and Management, Northwest A&F University, Yangling 712100, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of poverty alleviation relocation is to break the vicious cycle of poverty and ecological degradation. The improvement of human capital, specifically women's human capital, is important to realize the poverty alleviation and sustainable development of relocated peasant households. Based on the survey data of 902 peasant households in southern Shaanxi in 2020, using the PSM model and the mediation effect test model, this paper explores the impact of participation in relocation on human capital from the perspective of gender differences, and the mediation effect of fuelwood consumption in the effect of participation in relocation on the human capital of peasants with different genders. The results show that firstly, in general, participation in relocation effectively improves the human capital of peasants. Secondly, there are gender differences in the improvement of the human capital of relocated peasants. Compared with male peasants, the health level of female peasants is significantly improved. Finally, fuelwood consumption plays an important mediation role in the impact of participation in relocation on human capital and the mediation role is more significant in improving the human capital of relocated female peasants.

Indexed as

Family CharacteristicsPovertyChinaFemaleHumansMaleSex FactorsSurveys and Questionnairesfuelwood consumptiongender differenceshuman capitalmediation effectpoverty alleviation relocationpropensity score matching (PSM)

Identifiers

PMID36674389
PMCPMC9864788

What OpenQuestion holds

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LicenceCC BY
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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.