Gender analyses on the vulnerability types suffered by poor and older freshwater fisheries community members in Peninsular Malaysia
This paper aimed to measure the vulnerability type that predicts the likelihood of the respondents in poor category of household income by sex-disaggregated data. The respondents were sampled in Peninsular Malaysia (n=322)). They suffer from at least one out of six types of vulnerability asked in th...
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| Format: | Article |
| Language: | English |
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Human Resource Management Academic Research Society
2021
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| Online Access: | http://psasir.upm.edu.my/id/eprint/97420/ http://psasir.upm.edu.my/id/eprint/97420/1/ABSTRACT.pdf |
| _version_ | 1848862594480209920 |
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| author | Saidi, Norehan Zainalaludin, Zumilah Jamaluddin, Askiah |
| author_facet | Saidi, Norehan Zainalaludin, Zumilah Jamaluddin, Askiah |
| author_sort | Saidi, Norehan |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | This paper aimed to measure the vulnerability type that predicts the likelihood of the respondents in poor category of household income by sex-disaggregated data. The respondents were sampled in Peninsular Malaysia (n=322)). They suffer from at least one out of six types of vulnerability asked in the questionnaire. HO1 (no type of vulnerability predicts male in poor category of household income), and HO2 (no type of vulnerability predicts male in poor category of household income) were tested through Binary Logistic Regression (BLR) Model respectively and rejected. Both models were fit and significant (p<0.05) to predict the male and female respondents in poor category of household income. BLR Model 1 (male respondents) significantly predicted Handicapped Male and Single Father, with 3.60 times and less than 93.9 percent of the likelihood respectively for them to be in poor category of household income. For BLR Model 2 (female respondents), Single Mother and Handicapped Women predicted 16.15 times and 72.5 percent less of the likelihood respectively for them in the poor category of household income. This paper concludes the vulnerable women are poorer than the vulnerable men, and the handicapped men and single mothers are the poorest in freshwater fisheries communities. |
| first_indexed | 2025-11-15T13:19:30Z |
| format | Article |
| id | upm-97420 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T13:19:30Z |
| publishDate | 2021 |
| publisher | Human Resource Management Academic Research Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-974202022-09-05T08:21:59Z http://psasir.upm.edu.my/id/eprint/97420/ Gender analyses on the vulnerability types suffered by poor and older freshwater fisheries community members in Peninsular Malaysia Saidi, Norehan Zainalaludin, Zumilah Jamaluddin, Askiah This paper aimed to measure the vulnerability type that predicts the likelihood of the respondents in poor category of household income by sex-disaggregated data. The respondents were sampled in Peninsular Malaysia (n=322)). They suffer from at least one out of six types of vulnerability asked in the questionnaire. HO1 (no type of vulnerability predicts male in poor category of household income), and HO2 (no type of vulnerability predicts male in poor category of household income) were tested through Binary Logistic Regression (BLR) Model respectively and rejected. Both models were fit and significant (p<0.05) to predict the male and female respondents in poor category of household income. BLR Model 1 (male respondents) significantly predicted Handicapped Male and Single Father, with 3.60 times and less than 93.9 percent of the likelihood respectively for them to be in poor category of household income. For BLR Model 2 (female respondents), Single Mother and Handicapped Women predicted 16.15 times and 72.5 percent less of the likelihood respectively for them in the poor category of household income. This paper concludes the vulnerable women are poorer than the vulnerable men, and the handicapped men and single mothers are the poorest in freshwater fisheries communities. Human Resource Management Academic Research Society 2021 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/97420/1/ABSTRACT.pdf Saidi, Norehan and Zainalaludin, Zumilah and Jamaluddin, Askiah (2021) Gender analyses on the vulnerability types suffered by poor and older freshwater fisheries community members in Peninsular Malaysia. International Journal of Academic Research in Business and Social Sciences, 11 (12). 2046- 2069. ISSN 2222-6990 https://hrmars.com/index.php/IJARBSS/article/view/11935/Gender-Analyses-on-the-Vulnerability-Types-Suffered-by-Poor-and-Older-Freshwater-Fisheries-Community-Members-in-Peninsular-Malaysia 10.6007/IJARBSS/v11-i12/11935 |
| spellingShingle | Saidi, Norehan Zainalaludin, Zumilah Jamaluddin, Askiah Gender analyses on the vulnerability types suffered by poor and older freshwater fisheries community members in Peninsular Malaysia |
| title | Gender analyses on the vulnerability types suffered by poor and older freshwater fisheries community members in Peninsular Malaysia |
| title_full | Gender analyses on the vulnerability types suffered by poor and older freshwater fisheries community members in Peninsular Malaysia |
| title_fullStr | Gender analyses on the vulnerability types suffered by poor and older freshwater fisheries community members in Peninsular Malaysia |
| title_full_unstemmed | Gender analyses on the vulnerability types suffered by poor and older freshwater fisheries community members in Peninsular Malaysia |
| title_short | Gender analyses on the vulnerability types suffered by poor and older freshwater fisheries community members in Peninsular Malaysia |
| title_sort | gender analyses on the vulnerability types suffered by poor and older freshwater fisheries community members in peninsular malaysia |
| url | http://psasir.upm.edu.my/id/eprint/97420/ http://psasir.upm.edu.my/id/eprint/97420/ http://psasir.upm.edu.my/id/eprint/97420/ http://psasir.upm.edu.my/id/eprint/97420/1/ABSTRACT.pdf |