Author(s)

Xijun Luo ¹, Libin Zeng ¹, Xusheng Zhang ¹

Affiliation(s)

¹ Guangdong Medical University, Dongguan, Guangdong, China

Corresponding Author

Libin Zeng

ABSTRACT

Insurance technology attention is an important strategic consideration for insurance companies, and it also serves as a key support to promote the high-quality development of the insurance industry. At present, there is no unified conclusion on the correlation and time-lag effect between insurance technology attention and operating performance of top A-share listed insurance companies, and micro empirical evidence still needs to be supplemented. This paper takes 5 top A-share listed insurance companies from 2018 to 2024 as samples, uses text analysis to build an insurance technology index, and tests the relationship between the index and operating performance through a fixed effect model. It tries to make clear the correlation between them and provide decision-making reference for relevant subjects. The study found that insurance technology attention has a significant positive impact on current operating performance at the 1% level; for each 1-unit increase in the index, the return on total assets increases by an average of 0.027 percentage points. There is an obvious time-lag effect between them: the lagged first-phase index has a positive impact on current performance at the 1% level with a coefficient of 0.031. Compared with the benchmark regression, the within-group R² of the lagged model rises from 0.791 to 0.873, with stronger explanatory power, and the conclusion remains robust after replacing the explained variable. This study verifies the applicability of the technology empowerment theory in the insurance field, and also reveals the characteristics of insurance technology on operating performance that costs are advanced and benefits are delayed.

KEYWORDS

InsurTech, Operating Efficiency, Text Mining Method

CITE THIS PAPER

Xijun Luo, Libin Zeng, Xusheng Zhang. Research on the Impact of InsurTech Attention on Operating Performance of Leading A-Share Listed Insurers: An Empirical Study Based on Annual Report Text Mining. Industrial Engineering and Innovation Management (2026). Vol. 9, No.1, 66-78. DOI: http://dx.doi.org/10.23977/ieim.2026.090107.

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