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Undergraduate Research Paper

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14583/28

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    Economic and living conditions of migrant households in Baybay Norte, Miagao, Iloilo
    Calizo, Renz Marion J.; Ydulzura, Nona Jean C. (Division of Social Sciences, College of Arts and Sciences, University of the Philippines Visayas, 2024-07)
    This study aims to determine the economic and living conditions of the migrant community in Baybay Norte, Miagao, Iloilo. The total number of respondents in the household survey is 101. Decile dispersion ratio, Gini coefficient, and logistic regression were utilized to identify the determinants of poverty and the level of inequality among migrant households. Results indicated that 21.8% of the migrant households fall below the poverty line. The poorest 10% accounts for 3.7% of the total income compared to the 10% richest, which accounts for 36.1%. A Gini index of 0.40 also reveals the high level of inequality among them. The logistic regression results reveal that the percentage of earners in the household, formal education of household head, level of expenditure per capita, engagement in formal employment, and electricity consumption are the significant variables that determine the likelihood of the migrant households being poor. The findings of the study have significant implications for the development of interventions and policies aimed at improving the living conditions of migrant households experiencing poverty.
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    Vulnerability and adaptation to sea level rise of coastal communities in San Jose, Antique an application of contingent valuation method
    Baltazar, Christina C.; Mojica, Mariane Daiseree P. (Division of Social Sciences, College of Arts and Sciences, University of the Philippines Visayas, 2016-06)
    San Jose, Antique is a coastal municipality that is already experiencing manifestations of sea level rise, most visibly evident in coastal erosion, increased frequency of flooding, and higher storm surges. Sea level rise is a problem that affects the societal, economic, and environmental condition of coastal communities. It poses threats to life, property, and livelihood thus making these coastal communities vulnerable. To address their vulnerability, planned adaptation is the most practical option. Employing contingent valuation method, this study aims to determine the willingness-to-pay of coastal communities for a planned adaptation program that will address sea level rise. This study also aims to identify the adaptation measures that coastal communities of San Jose, Antique currently employ. Results show that the adaptation measures currently employed by the coastal communities of San Jose are autonomous, such as putting up sandbags, constructing bamboo corrals, and evacuating. These adaptation measures are stopgap solutions, which offer short-term protection only. It was seen, moreover, that overall, participants are willing to pay for a planned adaptation program. This suggests that funds may be raised for a planned adaptation program, which may be done through mobilizing the willingness-to-pay of the people. Measures to tap this potential should be explored by various groups, especially the local government unit of San Jose, Antique.
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    Factors affecting women's participation in small-scale fisheries in Miagao, Iloilo
    Abordaje, Ira; Nocon, Kimberly (Division of Social Sciences, College of Arts and Sciences, University of the Philippines Visayas, 2023-05)
    Small-scale fisheries is considered as a source of income that contributes to food security and livelihood sustainability, especially in coastal communities. However, women who fish are marginalized due to traditional gender roles. Their contributions to fisheries are frequently overlooked in economic analysis, fisheries management, and policy decisions. Women also uniquely experience multiple burdens due to gender roles and social expectations. This study analyzed the factors affecting women's decision to participate in small-scale fishing in Miagao, Iloilo. The study used surveys and the data were analyzed through binary logistic regression. Results showed that age, educational attainment, marital status, family income, and husband's income were significant in predicting women's participation. Furthermore, women are given secondary, easier tasks than men, participating in fisheries impacts women’s economic contribution and empowerment, and women in this industry still allot time for reproductive work despite spending most of their time accomplishing productive work in small-scale fisheries.