Evidence map›Paper›PMID 38011091›Full record

ArticlePloS one2023

Aging population and digital inclusive finance, a natural experiment from china.

Jinghong Zhou, Xixi Ye

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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.

Jinghong ZhouSchool of Finance, Taxation and Public Administration, Shanghai Lixin University of Accounting and Finance, Shanghai, China.
Xixi YeSchool of Digital Economy & Trade, Wenzhou Polytechnic, Wenzhou, China.ORCID 0009-0000-6316-5417

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper studies the role played by the digitization level of inclusive finance for the aging population. We leverage an unexpected Chinese national strategy that promotes mobile internet and other internet related integration in China to identify the impact of changes in state policies on the digitization level for inclusive finance in a regression discontinuity design. Although aging population is negatively correlated with the digitization level of inclusive finance, our empirical analysis reveals that the policy shock significantly increased the digitization level of inclusive finance among the aging population. We also find two opposite mechanisms: the income effect and the caring effect. Finally, our study suggests that the economic and social outcomes of the digitization level among aging population are bifurcated: happiness decreased but real estate investment increased.

Indexed as

AgingAsian PeopleFinancial ManagementAgedChinaHappinessHumansInternetInvestments

Identifiers

PMID38011091
PMCPMC10681258

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.