Determinant factors of fishermen income and decision-making for providing welfare insurance: An application of multinomial logistic regression

As a country surrounded by the ocean, Indonesia is categorized as a country that has marine potential. The fishermen communities’ economy depends on ocean. However, the fishermen communities live below the poverty line and their average income is less than regional minimum wage. In conjunct...

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Main Authors: Sukono, Sukono, Riaman, Riaman, Herawati, Titin, Saputra, Jumadil, Hasbullah, Endang Soeryana
Format: Article
Language:English
Published: Growing Science 2021-01-01
Series:Decision Science Letters
Online Access:http://www.growingscience.com/dsl/Vol10/dsl_2020_35.pdf
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spelling doaj-6385358a770644b9a6a7b9d2197c0ce32021-01-01T14:15:41ZengGrowing ScienceDecision Science Letters1929-58041929-58122021-01-0117518410.5267/j.dsl.2020.11.002Determinant factors of fishermen income and decision-making for providing welfare insurance: An application of multinomial logistic regressionSukono, SukonoRiaman, RiamanHerawati, TitinSaputra, JumadilHasbullah, Endang Soeryana As a country surrounded by the ocean, Indonesia is categorized as a country that has marine potential. The fishermen communities’ economy depends on ocean. However, the fishermen communities live below the poverty line and their average income is less than regional minimum wage. In conjunction with the issue, this study seeks to investigate the factors affecting the income of fishermen communities and right decision to fishermen in covering with welfare insurance in Cirebon, Indonesia. The quantitative study is designed using cross-sectional approach. The data collected by applying random sampling with open-ended questions and interview. A total of 100 fishermen’s have participated in this study. The study used some factors in measuring the fishermen community income, namely coastal environment condition, fish catching technology and location, operational capital, climate (season) condition, fishermen’s age, fishermen’s education, and fishing experience. The data are analyzed using the multinomial logistic regression model by assisting the statistical software, i.e., SPSS-23. The results show that coastal environment condition, fish catching technology and location, operational capital, climate (season) condition, fishermen’s age, fishermen’s education, and fishing experience have significant effects on fishermen income. Interestingly, the factor of coastal environment condition and climate (season) condition have significant negative effects on fishermen income. In conclusion, this study identified that two important factors reduced the welfare level of fishermen (via income). Also, in line with that things, the right decision which can provide to support and assist the fishermen community was by providing the welfare insurance. It is purposely to give them the protection from various risks faced by fishermen.http://www.growingscience.com/dsl/Vol10/dsl_2020_35.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Sukono, Sukono
Riaman, Riaman
Herawati, Titin
Saputra, Jumadil
Hasbullah, Endang Soeryana
spellingShingle Sukono, Sukono
Riaman, Riaman
Herawati, Titin
Saputra, Jumadil
Hasbullah, Endang Soeryana
Determinant factors of fishermen income and decision-making for providing welfare insurance: An application of multinomial logistic regression
Decision Science Letters
author_facet Sukono, Sukono
Riaman, Riaman
Herawati, Titin
Saputra, Jumadil
Hasbullah, Endang Soeryana
author_sort Sukono, Sukono
title Determinant factors of fishermen income and decision-making for providing welfare insurance: An application of multinomial logistic regression
title_short Determinant factors of fishermen income and decision-making for providing welfare insurance: An application of multinomial logistic regression
title_full Determinant factors of fishermen income and decision-making for providing welfare insurance: An application of multinomial logistic regression
title_fullStr Determinant factors of fishermen income and decision-making for providing welfare insurance: An application of multinomial logistic regression
title_full_unstemmed Determinant factors of fishermen income and decision-making for providing welfare insurance: An application of multinomial logistic regression
title_sort determinant factors of fishermen income and decision-making for providing welfare insurance: an application of multinomial logistic regression
publisher Growing Science
series Decision Science Letters
issn 1929-5804
1929-5812
publishDate 2021-01-01
description As a country surrounded by the ocean, Indonesia is categorized as a country that has marine potential. The fishermen communities’ economy depends on ocean. However, the fishermen communities live below the poverty line and their average income is less than regional minimum wage. In conjunction with the issue, this study seeks to investigate the factors affecting the income of fishermen communities and right decision to fishermen in covering with welfare insurance in Cirebon, Indonesia. The quantitative study is designed using cross-sectional approach. The data collected by applying random sampling with open-ended questions and interview. A total of 100 fishermen’s have participated in this study. The study used some factors in measuring the fishermen community income, namely coastal environment condition, fish catching technology and location, operational capital, climate (season) condition, fishermen’s age, fishermen’s education, and fishing experience. The data are analyzed using the multinomial logistic regression model by assisting the statistical software, i.e., SPSS-23. The results show that coastal environment condition, fish catching technology and location, operational capital, climate (season) condition, fishermen’s age, fishermen’s education, and fishing experience have significant effects on fishermen income. Interestingly, the factor of coastal environment condition and climate (season) condition have significant negative effects on fishermen income. In conclusion, this study identified that two important factors reduced the welfare level of fishermen (via income). Also, in line with that things, the right decision which can provide to support and assist the fishermen community was by providing the welfare insurance. It is purposely to give them the protection from various risks faced by fishermen.
url http://www.growingscience.com/dsl/Vol10/dsl_2020_35.pdf
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