Artikel

The feasibility of picture-based insurance (PBI): Smartphone pictures for affordable crop insurance

Smallholder farmers are increasingly exposed to weather extremes but lack access to affordable insurance products for catastrophic crop damage. This paper analyzes the feasibility of Picture-Based Insurance (PBI) as a low-cost tool to improve coverage. PBI verifies insurance claims using smartphone pictures of insured plots, taken by farmers themselves, to minimize asymmetric information and costs of claims verification, while reducing basis risk compared to index-based insurance. A pilot implementation in the rice-wheat belt of India speaks to PBI being a feasible and valuable innovation to reduce downside basis risk in index insurance: nearly two-thirds of trained farmers took at least four pictures (roughly one per growth stage), which was considered sufficient for loss assessment; severe damage was visible from smartphone pictures in 71 percent of affected sites; and this was a significant improvement over alternative index-based products, which identified severe damage in at most 34 percent of affected sites.

Sprache
Englisch

Erschienen in
Journal: Development Engineering ; ISSN: 2352-7285 ; Volume: 4 ; Year: 2019 ; Pages: 1-14 ; Amsterdam: Elsevier

Klassifikation
Wirtschaft
Insurance; Insurance Companies; Actuarial Studies
Economic Development: Agriculture; Natural Resources; Energy; Environment; Other Primary Products
Economic Development: Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
Agricultural Finance
Thema
Risk and insurance
Mobile technology
Basis risk
India

Ereignis
Geistige Schöpfung
(wer)
Ceballos, Francisco
Kramer, Berber
Robles, Miguel
Ereignis
Veröffentlichung
(wer)
Elsevier
(wo)
Amsterdam
(wann)
2019

DOI
doi:10.1016/j.deveng.2019.100042
Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Ceballos, Francisco
  • Kramer, Berber
  • Robles, Miguel
  • Elsevier

Entstanden

  • 2019

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