Evidence map›Paper›PMID 36164498›Full record

ArticleFinance research letters2023

Effect of COVID-19 on non-performing loans in China.

Lawrence Kryzanowski, Jinjing Liu, Jie Zhang

Abstract read
In one paragraph

Article in Finance research letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  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

3 authors.

Lawrence KryzanowskiJohn Molson School of Business at Concordia University, 1455 De Maisonneuve Blvd West, Montreal, QC, H3G 1M8 Canada.
Jinjing LiuSchool of Business and Economics, Moravian University, 1200 Main St, Bethlehem, PA 18018 USA.
Jie ZhangTrent School of Business at Trent University, 1600 West Bank Drive, Peterborough, Ontario, K9L 0G2 Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We examine the resilience of Chinese banks during the COVID-19 pandemic by investigating non-performing loan (NPL) ratios. We find that despite the reduction in the growth rate of total bank lending, bank NPL ratios significantly increase during the COVID-19 crisis. Banks with high-quality capital are more effective in controlling their NPL ratios during the Crisis. Big Five banks, state-owned banks and domestic banks have lower NPL ratios than their counterparts during the Crisis.

Indexed as

Bank ownershipCapital ratiosCOVID-19Non-performing loansNPL, non-performing loan

Identifiers

PMID36164498
PMCPMC9494920

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.