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

被引:1
|
作者
Liu, Mengqi [1 ]
Yang, Han [2 ]
Zheng, Shuxin [1 ]
机构
[1] Southwestern Univ Finance & Econ, Sch Finance, Chengdu, Sichuan, Peoples R China
[2] Fujian Agr & Forestry Univ, Coll Econ & Management, Fuzhou, Fujian, Peoples R China
来源
PLOS ONE | 2024年 / 19卷 / 01期
关键词
MACHINE LEARNING TECHNIQUES; CLASSIFICATION;
D O I
10.1371/journal.pone.0296899
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:25
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