WHEN THE INDUS MEETS THE ALGORITHM FINTECH, MARKETING, CLIMATE RISK INSURANCE, AND THE DESIGN OF FINANCIAL PROTECTION IN PAKISTAN
Abstract
Pakistan can now move money across the country in seconds. It has yet to learn how to insure the livelihoods that its floods sweep away. This paper asks why climate-exposed households and small firms remain poorly protected even as the country’s digital payment infrastructure matures, and argues that the answer lies where three disciplines meet but seldom confer. Finance determines how climate risk is priced, funded, pooled and transferred. FinTech lowers the cost of information, payment, distribution and claims. Financial services marketing determines whether a customer understands the product, trusts the provider, sees its value and stays. From these strands the paper builds a conceptual model of two reinforcing frictions. The affordability trap arises when the price of risk is held below cost without an explicit, budgeted subsidy, so that supply thins. The familiarity trap arises when automated underwriting treats a short financial history as weak evidence of quality, so that the undocumented are screened out. Between them runs a marketing adoption bridge: trust, perceived usefulness, ease of use, salience and clarity of communication decide whether protection that exists is bought, kept and claimed, and therefore whether the records on which future underwriting depends are ever created. The paper formalises each mechanism, derives four testable hypotheses and specifies a Pakistan-focused empirical programme combining district risk exposure, insurer and lender records, payment data, customer surveys and randomised message experiments. It reports no causal estimates. Its contribution is a framework that makes finance, FinTech and marketing jointly observable. The policy corollary is an architecture of transparent risk pricing, explicit premium support, parametric cover where suitable, interoperable digital distribution, plain-language communication and auditable algorithms.
Keywords: FinTech; financial services marketing; climate risk insurance; digital financial inclusion; consumer trust; parametric insurance; algorithmic underwriting
JEL classification: G22, G23, G28, M31, O16, Q54
https://doi.org/10.5281/zenodo.22809009
