Sustainable investing in the US and European insurance industry: a text mining analysis

被引:0
|
作者
Nadine Gatzert
Philipp Reichel
机构
[1] Friedrich-Alexander University Erlangen-Nürnberg,School of Business, Economics and Society
来源
The Geneva Papers on Risk and Insurance - Issues and Practice | 2024年 / 49卷
关键词
Sustainable investing; Environmental, social and governance (ESG); Text mining;
D O I
暂无
中图分类号
学科分类号
摘要
This paper uses a text mining analysis to study the development of sustainable investing in the European and US insurance industry as reflected in their public reports from 2013 to 2018. The sample comprises 1215 annual, sustainability- and investment-related documents of 77 firms. We develop a dictionary with principles, criteria and terminologies as well as strategies, and differentiate between the quality of reports. Our results show that the number of firms referring to as well as the word count related to sustainable investing substantially increase over the sample period, and that insurers reporting about sustainable investing are on average significantly larger. We also find that European insurers report much more extensively on their sustainable investment practices as compared to US insurers in our sample. Most relevant in 2018 are references to general ESG criteria, followed by responsible investment and the Sustainable Development Goals. Top strategies mentioned were ESG integration and impact investing, whereby we observe that insurers evolve from mentioning one single towards multiple strategies over time. Finally, a regression analysis does not show a value-effect of sustainable investment-related keywords in reporting on Tobin’s Q, which may be due to the rather long-term investment perspective.
引用
收藏
页码:26 / 62
页数:36
相关论文
共 50 条
  • [31] Thematic analysis of sustainable ultra-precision machining by using text mining and unsupervised learning method
    Zhou, Hongting
    Yip, Wai Sze
    Ren, Jingzheng
    To, Suet
    JOURNAL OF MANUFACTURING SYSTEMS, 2022, 62 : 218 - 233
  • [32] Data Analysis Support by Combining Data Mining and Text Mining
    Matsumoto, Tomoya
    Sunayama, Wataru
    Hatanaka, Yuji
    Ogohara, Kazunori
    2017 6TH IIAI INTERNATIONAL CONGRESS ON ADVANCED APPLIED INFORMATICS (IIAI-AAI), 2017, : 313 - 318
  • [33] Sustainability topic trends in the textile and apparel industry: a text mining-based magazine article analysis
    Li, Jitong
    Leonas, Karen K.
    JOURNAL OF FASHION MARKETING AND MANAGEMENT, 2022, 26 (01) : 67 - 87
  • [34] Identifying sustainable forest management research narratives: a text mining approach
    Schober, Andreas
    Simunovic, Nenad
    Darabant, Andras
    Stern, Tobias
    JOURNAL OF SUSTAINABLE FORESTRY, 2018, 37 (06) : 537 - 554
  • [35] Data-based Startup Profile Analysis in the European Smart Specialization Strategy: A Text Mining Approach
    Bzhalava, Levan
    Kaivo-oja, Jari
    Hassan, Sohaib S.
    EUROPEAN INTEGRATION STUDIES, 2018, (12) : 118 - 128
  • [37] Technology Roadmapping Using Text Mining: A Foresight Study for the Retail Industry
    Ozcan, Sercan
    Homayounfard, Amir
    Simms, Christopher
    Wasim, Jahangir
    IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2022, 69 (01) : 228 - 244
  • [38] Tracing university–industry knowledge transfer through a text mining approach
    Sabrina L. Woltmann
    Lars Alkærsig
    Scientometrics, 2018, 117 : 449 - 472
  • [39] Identifying Emerging Issues in the Seafood Industry Based on a Text Mining Approach
    Han, Kiuk
    Yeom, Jaesun
    Chung, Keunsuk
    APPLIED SCIENCES-BASEL, 2024, 14 (05):
  • [40] Text Mining for Automatic Lexical Analysis of Layman Text of Biomedical Argument
    Defilippi, D.
    Pivetti, S.
    Giacomini, M.
    WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING, VOL 25, PT 12, 2009, 25 (12): : 281 - 284