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Can insurance alter poverty dynamics and reduce the cost of social protection in developing countries?
Author(s) -
Janzen Sarah A.,
Carter Michael R.,
Ikegami Munenobu
Publication year - 2021
Publication title -
journal of risk and insurance
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.055
H-Index - 63
eISSN - 1539-6975
pISSN - 0022-4367
DOI - 10.1111/jori.12322
Subject(s) - poverty trap , poverty , asset (computer security) , production (economics) , social protection , subsidy , economics , social insurance , work (physics) , business , public economics , microeconomics , economic growth , market economy , mechanical engineering , computer security , computer science , engineering
This paper develops a dynamic theoretical model to assess the impact of asset insurance on poverty and the cost of social protection in developing countries. We analyze the model under two technological assumptions: a standard, globally concave production technology, and a fixed cost technology that creates a non‐convex production set and admits the possibility of multiple equilibria and a poverty trap. Under both assumptions, the introduction of an asset insurance market reduces poverty and the costs of social protection. Under the non‐convex production set, there is a strong public finance case for insurance premium subsidies that target poor and vulnerable households and bring them into the insurance market. While the challenges of making microinsurance markets work are multiple, this analysis suggests the potential gains to solving these challenges are substantial.