Evidence map›Paper›PMID 36767062›Full record

ArticleInternational journal of environmental research and public health2023

Micro-Household Human Capital Investment Decisions and a Simulation Study from the Intergenerational Conflict Perspective.

Qiling Lu, Jing Hua

Open access · goldAbstract 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 19% of its field
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, 2 citations in OpenAlex.

  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

2 authors at 1 institution in 1 country.

Qiling LuCollege of Economics and Management, Ningxia University, Yinchuan 750021, China.
Jing HuaCollege of Economics and Management, Ningxia University, Yinchuan 750021, China.
Ningxia University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Education is highly valued in Asian families. However, as family members age, competition for intra-family resources affects children's actualization in the family, which impacts the family's future capital. However, most existing studies have interpreted the family's intergenerational conflicts in terms of care services for older adults, and few have analyzed and simulated intra-family competition based on the intergenerational conflict. This study introduces a multi-agent simulation approach to observe micro-households' educational investment choices under the dual pressures of retirement and childcare. This measure captures households' investment choices and provides a decision basis for given households. Using data from the China Family Panel Study for 2014, 2016, and 2018, we explore the impact of these dual pressures on household educational expenditures and their differences across urban and rural areas, household aging, and income samples. We also simulated the micro-households' investment choices under these dual pressures to observe that these pressures reduce investments in educational human capital in these "sandwich-like" households. The simulation results suggest that households with high childcare stress invest more in education than those with a high retirement burden. Moreover, income growth can mitigate the dual stress "crowding-out" effect on education, which is most pronounced in low-income, high childcare-stress households.

Indexed as

Family CharacteristicsIncomeAgedChildChinaFamilyHumansInvestmentsPovertyRural Populationchildcare burdencrowding-out effectfamily educational investmentmulti-agent simulationpopulation aging

Identifiers

PMID36767062
PMCPMC9913944
OpenAlexW4317107357

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.