Evidence map›Paper›PMID 38236922›Full record

ArticlePloS one2024

Index construction and application of digital transformation in the insurance industry: Evidence from China.

Mengqi Liu, Han Yang, Shuxin Zheng

Abstract read
In one paragraph

Article in PloS one, 2024. 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
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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

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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

3 authors.

Mengqi LiuSchool of Finance, Southwestern University of Finance and Economics, Chengdu, Sichuan, China.ORCID 0000-0002-2333-5407
Han YangCollege of Economics and Management, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China.ORCID 0000-0001-9251-3863
Shuxin ZhengSchool of Finance, Southwestern University of Finance and Economics, Chengdu, Sichuan, China.ORCID 0000-0001-6944-3967

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the context of digitization, the insurance industry's value chain is undergoing significant shifts. However, the existing research on its comprehension and measurement remains relatively limited. This study constructs an index system for digital transformation in the insurance industry (DTII) on three components: digital infrastructure, digital platform, and digital applications. Utilizing data from 31 provinces in China, this study employs the entropy weight method, analytic hierarchy process method and minimum relative entropy method to measure the weights of indicators, empirically applying this index system. The results show that DTII in China experiences rapid advancement with an average annual growth rate of 20.46% from 2014 to 2020 and there exists strong regional convergence. In addition, the spatial agglomeration and spatial effects of DTII are mainly concentrated in the life insurance industry and the eastern region. This study provides an index system and empirical evidence for evaluating the DTII, providing policy insights for exploring the sustainable development path of the insurance industry in the digital era.

Indexed as

Analytic Hierarchy ProcessInsuranceChinaEconomic DevelopmentEntropyIndustry

Identifiers

PMID38236922
PMCPMC10796006

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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.