Evidence map›Paper›PMID 36250041›Full record

ArticleResearch in international business and finance2022

International taxation sentiment and COVID-19 crisis.

Chenjiang Bai, Yuejiao Duan, Congya Liu, Leiju Qiu

Abstract read
In one paragraph

Article in Research in international business and finance, 2022. 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
–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

0 citing papers in PubMed.

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

4 authors.

Chenjiang BaiSchool of Finance, Nankai University, 38 Tongyan Road, Jinnan District, Tianjin 300350, PR China.
Yuejiao DuanSchool of Finance, Nankai University, 38 Tongyan Road, Jinnan District, Tianjin 300350, PR China.
Congya LiuSchool of Finance, Nankai University, 38 Tongyan Road, Jinnan District, Tianjin 300350, PR China.
Leiju QiuChina Center for Internet Economy Research, Central University of Finance and Economics, 39 South College Road, Haidian District, Beijing 100081, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Investigating public sentiment regarding tax policy during the COVID-19 pandemic could be useful for understanding the experiences across societies. Using Linguistic Inquiry and Word Count to investigate and quantitatively measure the pandemic's effect-from January 25 to April 9, 2020-on the sentiment regarding possible tax policies throughout the world, thereby determining that, overall, taxation sentiment is reduced as the number of confirmed COVID-19 cases grows. Further investigation reveals that, as COVID-19 spreads, the sentiment for raising taxes decreases and that for reducing taxes increases, and this effect is mitigated by countries' democracy. We further find that news sentiment in unofficial media and in countries with low social trust is more significantly affected by COVID-19. Robustness tests performed using different subsamples of developed and developing countries and different pandemic circumstances validate our findings. This research has crucial implications for policy evaluation and development.

Indexed as

COVID-19Democratic accountabilitySentimentTaxation

Identifiers

PMID36250041
PMCPMC9540686

What OpenQuestion holds

Textmetadata
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.