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Data Science for Green Insurance: A Predictive Analytics Approach to Climate Risk Assessment
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Author(s): Piali Haldar (Brainware University, Kolkata, India), Dev Kumar Mandal (Brainware University, Kolkata, India)and Utkarsh Gupta (Latent View Analytics, USA)
Copyright: 2026
Pages: 32
Source title:
Harnessing Data Science for Sustainable Insurance
Source Author(s)/Editor(s): Gagan Kukreja (College of Business Administration, University of Bahrain, Bahrain), Ayben Koy (Fenerbahçe University, Turkey), Pooja Kansra (Mittal School of Business, Lovely Professional University, India), Diksha Verma (Chandigarh Business School of Administration, Landran Mohali, India)and S.L. Gupta (Birla Institute of Technology, India)
DOI: 10.4018/979-8-3373-1882-0.ch006
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Abstract
The insurance sector faces enormous challenges from climate change, requiring sophisticated predictive models to gauge and mitigate the financial risks involved. Green insurance a concept is still not universally understood—takes the basic model of insurance and attempts to integrate sustainability principles into the practices of insuring and underwriting. This study investigates predictive analytics in green insurance, concentrating on how the exposure to climate risk sways the rates charged for insurance premiums. The research uses predictive analysis to lead toward better risk assessment and sustainable pricing decisions. The findings suggest that exposure to climate risk significantly boosts the rates of premium insurance, confirming that a greater climate risk leads to a higher cost of premiums. The results underscore that a commitment to sustainability serves as a partial buffer against the insurance premium. Insurers with solid sustainability policies usually have fewer risky investments.
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