Evidence map›Paper›PMID 33679283›Full record

ArticleTobacco induced diseases2021

Effects of government cash subsidies on health risk behaviors of the rural elderly: Evidence from social pension expansions in China.

Zili Zhang, Shizheng Dong, Xuanxuan Zhang

Open access · goldAbstract read
In one paragraph

Article in Tobacco induced diseases, 2021. 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
0.9field-weighted citation impact, top 22% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

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

3 authors at 1 institution in 1 country.

Zili ZhangSchool of International Trade and Economics, University of International Business and Economics, Beijing, China.
Shizheng DongSchool of International Trade and Economics, University of International Business and Economics, Beijing, China.
Xuanxuan ZhangSchool of International Trade and Economics, University of International Business and Economics, Beijing, China.
University of International Business and Economics · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThere is relatively little research on the impact of government cash subsidies on health risk behaviors of the elderly in China. We thus analyzed the effect of pension subsidies on the smoking and drinking behaviors of rural elderly using a pension scheme introduced in rural China in 2009.

methodsBased on panel data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) in 2008 and 2011, a Difference-in-Differences (DID) method was applied to comprehensively analyze the impact of the new agricultural insurance on the health risk behaviors of the rural elderly. In order to solve possible sample selection biases, the Propensity Score Matching with Difference-in-Differences (PSM-DID) approach was used.

resultsWe found that the implementation of the government cash subsidies clearly promoted smoking rather than drinking behavior among rural older adults. Specifically, the government cash subsidies facilitated smokers to smoke an additional 2.9 cigarettes/day, and the impact of government cash subsidies on the average cigarettes/day among smokers was more pronounced among the male elderly, lower age elderly, higher income elderly, and elderly with intact instrumental activities of daily living (IADL).

conclusionsIn order to reduce the negative externalities of old-age subsidies, the government should place some restrictions on the use of cash subsidies for tobacco purchase by the elderly.

Indexed as

Chinagovernment cash subsidieshealth risk behaviorsrural elderly

Identifiers

PMID33679283
PMCPMC7922889
OpenAlexW3134175460

What OpenQuestion holds

Textmetadata
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.