2021
DOI: 10.1002/aepp.13187
|View full text |Cite
|
Sign up to set email alerts
|

Who buys crop insurance? Predictors of the participation gap between organic and conventional farms

Abstract: This study examines the participation gap in crop insurance between organic and conventional producers. To solicit input from producers of organic and diversified crop production systems, we developed a national survey through the Organic AgricultureResearch and Education Initiative (OREI) that resulted in over 1,000 valid responses, as well as data from the Agricultural Resource Management Survey (ARMS).Results suggest a high degree of correlation between crop insurance participation with respect to the degre… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 19 publications
0
2
0
Order By: Relevance
“…To gain additional insights on burger selection rates and differences across consumers, we explore selection behavior using a binary logit model. The binary burger selection is modeled as: yi*goodbreak=βXigoodbreak+εi where yi* is the expected utility for individual i for Beyond Meat compared to beef; Xi is a matrix of treatment indicator variables (relative to the omitted base treatment) and covariates for individual i , and εi is a random error term (Belasco & Fuller, 2021; Greene, 2007). The distribution of yi* is unobserved and we observe the discrete variable yi such that yigoodbreak={10.25emif0.25emyi*>00.25em00.25emotherwise Here yi=1 reflects selection of Beyond Meat Burger meal and yi=0 reflects selection of the beef burger meal.…”
Section: Overview Of Data and Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…To gain additional insights on burger selection rates and differences across consumers, we explore selection behavior using a binary logit model. The binary burger selection is modeled as: yi*goodbreak=βXigoodbreak+εi where yi* is the expected utility for individual i for Beyond Meat compared to beef; Xi is a matrix of treatment indicator variables (relative to the omitted base treatment) and covariates for individual i , and εi is a random error term (Belasco & Fuller, 2021; Greene, 2007). The distribution of yi* is unobserved and we observe the discrete variable yi such that yigoodbreak={10.25emif0.25emyi*>00.25em00.25emotherwise Here yi=1 reflects selection of Beyond Meat Burger meal and yi=0 reflects selection of the beef burger meal.…”
Section: Overview Of Data and Methodsmentioning
confidence: 99%
“…where y à i is the expected utility for individual i for Beyond Meat compared to beef; X i is a matrix of treatment indicator variables (relative to the omitted base treatment) and covariates for individual i, and ε i is a random error term (Belasco & Fuller, 2021;Greene, 2007). The distribution of y à i is unobserved and we observe the discrete variable y i such that…”
Section: Overview Of Data and Methodsmentioning
confidence: 99%