The Attributes of Insurance Product as Determinant Factors of Coffee Farmers’ Participation in Agricultural Insurance’
- DOI
- 10.2991/978-94-6463-168-5_16How to use a DOI?
- Keywords
- Agricultural Insurance; Coffee Farmers; Participation Intention; Product Attributes
- Abstract
This research aimed to analyze the product attributes of agricultural insurance as determinant factors of coffee farmers’ intention to participate in agricultural insurance. The product attributes are namely premium cost, insurance coverage, insurance requirements term, compensation value, and claim process. The research was conducted in Sumowono and Jambu District Semarang Regency of Central Java using survey method with 105 respondents in total. Binary Logistic Regression was used to analyze the research purpose. The result showed that the determinant factors were significantly influenced farmers’ intention to participate in agricultural insurance, and respondents tend to choose participating in agricultural insurance despite the lack socialization process of agricultural insurance procedures before. This research underlined the importance of designing appropriate agricultural insurance scheme specifically related to premium cost and subsidy.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Mirza Andrian Syah AU - Wahyu Dyah Prastiwi AU - Wahyu Santoso AU - Mukson PY - 2023 DA - 2023/05/23 TI - The Attributes of Insurance Product as Determinant Factors of Coffee Farmers’ Participation in Agricultural Insurance’ BT - Proceedings of the 3rd International Conference on Agriculture (ICA 2022) PB - Atlantis Press SP - 139 EP - 150 SN - 2468-5747 UR - https://doi.org/10.2991/978-94-6463-168-5_16 DO - 10.2991/978-94-6463-168-5_16 ID - Syah2023 ER -