Predictors of vulnerability type among poor fisheries community members using gender analysis in Northern States in Malaysia
This study aims to profile the backgrounds of the vulnerable respondents, to identify the distributions of the vulnerable respondents by the vulnerability type, to measure the relationship between two levels of household income and two types of water system community, and to predict the best vuln...
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2021
|
| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/104572/1/FEM%202022%2010%20IR.pdf |
| _version_ | 1796984519614529536 |
|---|---|
| author | Saidi, Norehan |
| author_facet | Saidi, Norehan |
| author_sort | Saidi, Norehan |
| collection | UPM |
| description | This study aims to profile the backgrounds of the vulnerable respondents, to
identify the distributions of the vulnerable respondents by the vulnerability type,
to measure the relationship between two levels of household income and two
types of water system community, and to predict the best vulnerability type to
explain the likelihood of the vulnerable respondents in the poor category
household income by two types of water system community involve in fisheries
and aquaculture economic sector (FAES). All the research objectives were sex
disaggregated. In this study two data sets were used, which were Data 01
(brackish water community) and Data 02 (freshwater community), which covered
the backgrounds of the vulnerable respondents and the household income used
in this study from the respective questionnaires. In both data sets, the
respondents were vulnerable, which were sampled through multiple level
random sampling with assistance from government agencies and the community
leaders in the sampled villages at Padang Terap, Kedah; Hulu Perak, Perak;
Pulau Langkawi, Kedah; and Kota Setar, Kedah; all in Northern Peninsular
Malaysia. The vulnerable respondents suffer at least one vulnerability type as
deduced from the Sustainable Livelihood Approach. A total of 415 vulnerable
respondents reported in this study who were mainly females in brackish water
(58.84%) and males (58.14%) in freshwater communities. According to the mean
age, the respondents in this study were older people (mean age> 60 years old),
with low academic background, mostly married males (79.07 %), single females
(64.61%), and many males had house ownership (81.40%). The male vulnerable
respondents mainly suffered from the Handicapped Vulnerability Type and the
female suffered the Single Parent Vulnerability Type. Among the females the
mean household income=RM960.74 and they were poorer than the male
vulnerable respondents with a mean household income=RM1481.28. There was
a significant (p<0.05) relationship between two levels of household income
(PLI=RM980 as a cut-off point) and two types of water system community among the male and female vulnerable respondents. Thus, HO1 and HO2 were rejected.
Male and female vulnerable respondents were poorer in brackish water than in
freshwater communities. One Binary Logistic Regression Model for the four null
hypotheses was tested in order to identify the vulnerability type to predict the
vulnerable respondents in the poor category of household income in two types
of water system community. All model fits were significant (p<0.05), thus all four
null hypotheses were rejected. The Single Parent Vulnerability Type significantly
(p<0.05) and negatively predicted single father and positively predicted single
mothers in the poor category of household income in the brackish water and
freshwater communities. In addition to the Single Parent Vulnerability Type
among females in the freshwater community, the Living Alone Vulnerability Type
also significantly predicted (p<0.05) them as being in the poor category of
household income. In conclusion, poverty is related to single mothers and
females living alone, and, in the brackish water community, it is mainly related
to old women. A relationship between gender, poverty, and vulnerability in
masculine FAES is found in this study. Single mothers and the old women
staying alone should be given high attention in terms of policies and programmes
in fisheries communities, especially to achieve SDG1, SDG2, SDG 5, and
SDG10. |
| first_indexed | 2024-03-06T11:21:39Z |
| format | Thesis |
| id | upm.eprints-104572 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T11:21:39Z |
| publishDate | 2021 |
| record_format | dspace |
| spelling | upm.eprints-1045722023-10-11T07:25:05Z http://psasir.upm.edu.my/id/eprint/104572/ Predictors of vulnerability type among poor fisheries community members using gender analysis in Northern States in Malaysia Saidi, Norehan This study aims to profile the backgrounds of the vulnerable respondents, to identify the distributions of the vulnerable respondents by the vulnerability type, to measure the relationship between two levels of household income and two types of water system community, and to predict the best vulnerability type to explain the likelihood of the vulnerable respondents in the poor category household income by two types of water system community involve in fisheries and aquaculture economic sector (FAES). All the research objectives were sex disaggregated. In this study two data sets were used, which were Data 01 (brackish water community) and Data 02 (freshwater community), which covered the backgrounds of the vulnerable respondents and the household income used in this study from the respective questionnaires. In both data sets, the respondents were vulnerable, which were sampled through multiple level random sampling with assistance from government agencies and the community leaders in the sampled villages at Padang Terap, Kedah; Hulu Perak, Perak; Pulau Langkawi, Kedah; and Kota Setar, Kedah; all in Northern Peninsular Malaysia. The vulnerable respondents suffer at least one vulnerability type as deduced from the Sustainable Livelihood Approach. A total of 415 vulnerable respondents reported in this study who were mainly females in brackish water (58.84%) and males (58.14%) in freshwater communities. According to the mean age, the respondents in this study were older people (mean age> 60 years old), with low academic background, mostly married males (79.07 %), single females (64.61%), and many males had house ownership (81.40%). The male vulnerable respondents mainly suffered from the Handicapped Vulnerability Type and the female suffered the Single Parent Vulnerability Type. Among the females the mean household income=RM960.74 and they were poorer than the male vulnerable respondents with a mean household income=RM1481.28. There was a significant (p<0.05) relationship between two levels of household income (PLI=RM980 as a cut-off point) and two types of water system community among the male and female vulnerable respondents. Thus, HO1 and HO2 were rejected. Male and female vulnerable respondents were poorer in brackish water than in freshwater communities. One Binary Logistic Regression Model for the four null hypotheses was tested in order to identify the vulnerability type to predict the vulnerable respondents in the poor category of household income in two types of water system community. All model fits were significant (p<0.05), thus all four null hypotheses were rejected. The Single Parent Vulnerability Type significantly (p<0.05) and negatively predicted single father and positively predicted single mothers in the poor category of household income in the brackish water and freshwater communities. In addition to the Single Parent Vulnerability Type among females in the freshwater community, the Living Alone Vulnerability Type also significantly predicted (p<0.05) them as being in the poor category of household income. In conclusion, poverty is related to single mothers and females living alone, and, in the brackish water community, it is mainly related to old women. A relationship between gender, poverty, and vulnerability in masculine FAES is found in this study. Single mothers and the old women staying alone should be given high attention in terms of policies and programmes in fisheries communities, especially to achieve SDG1, SDG2, SDG 5, and SDG10. 2021-03 Thesis NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/104572/1/FEM%202022%2010%20IR.pdf Saidi, Norehan (2021) Predictors of vulnerability type among poor fisheries community members using gender analysis in Northern States in Malaysia. Masters thesis, Universiti Putra Malaysia. Fisheries - Economic aspects - Malaysia |
| spellingShingle | Fisheries - Economic aspects - Malaysia Saidi, Norehan Predictors of vulnerability type among poor fisheries community members using gender analysis in Northern States in Malaysia |
| title | Predictors of vulnerability type among poor fisheries community members using gender analysis in Northern States in Malaysia |
| title_full | Predictors of vulnerability type among poor fisheries community members using gender analysis in Northern States in Malaysia |
| title_fullStr | Predictors of vulnerability type among poor fisheries community members using gender analysis in Northern States in Malaysia |
| title_full_unstemmed | Predictors of vulnerability type among poor fisheries community members using gender analysis in Northern States in Malaysia |
| title_short | Predictors of vulnerability type among poor fisheries community members using gender analysis in Northern States in Malaysia |
| title_sort | predictors of vulnerability type among poor fisheries community members using gender analysis in northern states in malaysia |
| topic | Fisheries - Economic aspects - Malaysia |
| url | http://psasir.upm.edu.my/id/eprint/104572/1/FEM%202022%2010%20IR.pdf |
| work_keys_str_mv | AT saidinorehan predictorsofvulnerabilitytypeamongpoorfisheriescommunitymembersusinggenderanalysisinnorthernstatesinmalaysia |