Sevgi Ineci


Galatasaray University, Department of Economics, Ciragan cad. 36  34349, Besiktas Istanbul- Turkey

2nd International Scientific Conference on Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture – ITEMA 2018 – Graz, Austria, November 8, 2018, CONFERENCE PROCEEDINGS published by the Association of Economists and Managers of the Balkans, Belgrade, Serbia; ISBN 978-86-80194-13-4

Abstract

This paper discusses the agricultural damage managing problems in the aftermath of a climatic disaster with particular focus on the progress of agricultural insurance in developing countries. There are numerous barriers to design an accurate (optimal) insurance plan in developing countries which reduce the efficiency of insurance contracts. Farmers in developing countries produce under multiple risks and their revenues are not sufficient to cover agricultural credit debts and insurance premium. This paper proposes a simple approach to mitigate agricultural risks through insurance by taking farm revenue on its center. The contribution of the paper is to show how optimal insurance plans could be designed for sustainable farm revenues in developing countries.

Acknowledgment: The author thanks Galatasaray University Research Fund for the grant provided for research project BAP/ 17.103.001.

 

Key words

Climate change, damage managing, agricultural insurance, developing countries.  


References

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[8]   FAO, (2016). Asia and Pacific Commission on Agricultural Statistics, Twenty-Sixth Session, 15-19 February 2016, Agenda Item 6.3, Livestock Statistics in Mongolia. https://www.fao.org/fileadmin/templates/ess/documents/apcas26/presentations/APCAS-16-6.3.5_-_Mongolia_-_Livestock_Statistics_in_Mongolia.pdf https://www.gfmag.com/global-data/country-data/mongolia-gdp-country-report

[9]   FAO, (2012). Country Programming Framework 2012-2016,  Ulaanbatar, Mongolia. https://www.fao.org/3/a-bl362e.pdf

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ineci_climate_change_and_optimal_design_problem_of_agricultural_insurance_for_developing_countries_pp_1006-1016

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