scholarly journals IMPLICATIONS AND EVALUATION OF CROP INSURANCE CHOICES FOR COTTON FARMERS UNDER THE 2014 FARM BILL

2018 ◽  
Vol 50 (4) ◽  
pp. 526-543
Author(s):  
KISHOR P. LUITEL ◽  
DARREN HUDSON ◽  
THOMAS KNIGHT
Keyword(s):  
Crop Insurance ◽  
Insurance Premium ◽  
Insurance Policy ◽  
Coverage Level ◽  
Agricultural Risk ◽  
Farm Bill ◽  
Insurance Policies ◽  
Agricultural Risk Management ◽  
Cotton Farmers ◽  
New Crop

AbstractThe Agricultural Act of 2014 introduced new crop insurance policies to manage agricultural risk, especially to cotton farmers. A representative farm panel was used to elicit the yield distribution of the farm, county, and correlation. Results suggest that the optimal underlying insurance policy is Revenue Protection at a 75% coverage level for both high- and low-productivity farms even with a Yield Exclusion provision. The Stacked Income Protection Plan benefit is mostly attributable to a higher insurance premium subsidy. For any crop, efficient agricultural risk management can be achieved through understanding the guaranteed yield and its relation to the farm and county yield.

scholarly journals Assessing agricultural risk management using historic crop insurance loss data over the ogallala aquifer

2020 ◽  
Vol 232 ◽  
pp. 106000 ◽  
Author(s):  
Julian Reyes ◽  
Emile Elias ◽  
Erin Haacker ◽  
Amy Kremen ◽  
Lauren Parker ◽  
...  
Keyword(s):  
Risk Management ◽  
Crop Insurance ◽  
Ogallala Aquifer ◽  
Agricultural Risk ◽  
Agricultural Risk Management ◽  
Loss Data

scholarly journals Implications of Commodity Programs and Crop Insurance Policies for Wheat Producers

2019 ◽  
Vol 51 (02) ◽  
pp. 267-285 ◽  
Author(s):  
Jeff Luckstead ◽  
Stephen Devadoss
Keyword(s):  
Prospect Theory ◽  
Crop Insurance ◽  
Cumulative Prospect Theory ◽  
Certainty Equivalent ◽  
Coverage Level ◽  
Insurance Policies ◽  
Agriculture Risk ◽  
Commodity Programs ◽  
Plc Program ◽  
Risk Coverage

AbstractWe analyze the effects of Price Loss Coverage (PLC), Agriculture Risk Coverage (ARC), individual revenue protection insurance (RP), and Supplemental Coverage Option (SCO) on the RP coverage level, certainty equivalent, and program payments. The model is calibrated to a representative wheat farm in Mitchell County in Kansas to analyze the effects of various policies. The result highlights that when insurance is framed as an investment, cumulative prospect theory predicts farmers’ coverage decisions accurately at 70%. ARC or PLC program increases the RP coverage level to 75%, but PLC and SCO jointly decrease the RP coverage level to 70%.

scholarly journals The Crop Insurance Systems in Poland Towards the EU

2017 ◽  
Vol 17(32) (4) ◽  
pp. 228-235
Author(s):  
Agnieszka Parlińska ◽  
Maria Parlińska
Keyword(s):  
European Union ◽  
Agricultural Production ◽  
Insurance Industry ◽  
Crop Insurance ◽  
Insurance Market ◽  
Agricultural Risk ◽  
Agricultural Industry ◽  
Agricultural Risk Management ◽  
The Eu

The increasing number of unfavorable conditions of agricultural production causes the farmers to suffer severe losses in their activity. At the same time, the increase in the profitability of agricultural production, the support of numerous European Union funds, led to increased interest in insurance as an instrument supporting agricultural risk management. Hence, both the agricultural industry and the insurance industry see the need to create an effective agricultural and livestock insurance system. The paper examines the changes and scope of crop insurance in Poland towards the European Countries. There were presented issues connecting to policies, regulation and state aid rules, crop insurance level in EU countries and characteristic of the crop insurance market – case study Poland. There was used descriptive and comparative methods, as well as the selected statistical method. The analysis was performed in the years 2005-2016.

Assessing the Impact of Suicide Exclusion Periods on Life Insurance

Crisis ◽  
2010 ◽  
Vol 31 (4) ◽  
pp. 217-223 ◽  
Author(s):  
Paul Yip ◽  
David Pitt ◽  
Yan Wang ◽  
Xueyuan Wu ◽  
Ray Watson ◽  
...  
Keyword(s):  
Life Insurance ◽  
Accidental Death ◽  
Insurance Policy ◽  
Death Rates ◽  
Insurance Policies ◽  
Suicidal Death ◽  
Insured Individual ◽  
The Impact ◽  
Insurance Data ◽  
The Relationship

Background: We study the impact of suicide-exclusion periods, common in life insurance policies in Australia, on suicide and accidental death rates for life-insured individuals. If a life-insured individual dies by suicide during the period of suicide exclusion, commonly 13 months, the sum insured is not paid. Aims: We examine whether a suicide-exclusion period affects the timing of suicides. We also analyze whether accidental deaths are more prevalent during the suicide-exclusion period as life-insured individuals disguise their death by suicide. We assess the relationship between the insured sum and suicidal death rates. Methods: Crude and age-standardized rates of suicide, accidental death, and overall death, split by duration since the insured first bought their insurance policy, were computed. Results: There were significantly fewer suicides and no significant spike in the number of accidental deaths in the exclusion period for Australian life insurance data. More suicides, however, were detected for the first 2 years after the exclusion period. Higher insured sums are associated with higher rates of suicide. Conclusions: Adverse selection in Australian life insurance is exacerbated by including a suicide-exclusion period. Extension of the suicide-exclusion period to 3 years may prevent some “insurance-induced” suicides – a rationale for this conclusion is given.

scholarly journals INCREASING THE COMPETITIVENESS OF INSURANCE COMPANY PRODUCTS AND SERVICES USING ECONOMIC AND MATHEMATICAL MODELING METHODS

2021 ◽  
Author(s):  
Mykhailo Demydenko ◽  
Ihor Pistunov
Keyword(s):  
Mathematical Model ◽  
Social Activity ◽  
Insurance Companies ◽  
Comprehensive System ◽  
Insurance Company ◽  
Competitive Advantages ◽  
Insurance Policy ◽  
Insurance Policies ◽  
The Impact

The competitiveness of an insurance company depends on the competitiveness of the products and services it introduces in the market. The competitive advantages of the insurance company are expressed in the attractiveness and competitiveness of insurance policies. An economic and mathematical model of increasing the competitiveness of the insurance company is proposed, which allows to calculate the integrated indicator of competitiveness of the insurance policy based on a comprehensive system of indicators characterizing the reliability of the insurance company, quality of its services, competitiveness, social activity. To analyze the impact of these indicators on the competitiveness of the insurance policy and identify areas for improving the efficiency and competitiveness of the insurance company. The competitiveness of an insurance company depends on the competitiveness of the products and services it introduces in the market. The assessment of the quality of insurance company services is compliance with the needs, requirements, and insurance interests of customers. This assessment is performed each time an individual client chooses to cooperate with an insurance company that meets his insurance interests and wishes. Therefore, the overall competitiveness of the enterprise depends on the competitiveness of products and services offered on the market. The competitive advantages of the insurance company are expressed in the attractiveness and competitiveness of insurance policies. The insurance market in recent years has shown consistently high growth, which makes it attractive for doing business. In these conditions, the task of modeling the activities of the insurance company in a highly competitive market environment becomes relevant. A mathematical model of increasing the competitiveness of the insurance company is proposed, which allows to calculate the integrated indicator of competitiveness of the insurance policy based on a comprehensive system of indicators characterizing the reliability of the insurance company, quality of its services, competitiveness, social activity. With the proposed model, insurance companies can objectively assess their weaknesses and strengths to ensure continuous growth and decent competition in a competitive market environment. The model allows you to select performance indicators and perform modeling and determine the consequences of changes in this indicator, analyze the impact of these indicators on the competitiveness of insurance policies and identify areas for improving the efficiency and competitiveness of the insurance company. By conducting such experiments, insurance companies can make more informed choices and decisions, analyze areas of competitiveness, and more efficiently allocate resources.

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