The purpose of this study is to explain the various factors that determine the presence of fish production, income, consumption and poverty in the East coastal areas of Aceh. The samples of this study were 385 respondents as primary research data by interviewing the people. Sampling technique is done by purposive. Data were analyzed by using multiple linear regression and statistical magnitude measurement method Ordenary Last Square (OLS). The results showed the first structure equation, simultaneously age, experience, education, technology, working capital and working hours significantly influence fish production. In the second structure equation, in partial, age, education, working capital and working hours are not significant positive effect on production of fish and experience a significant positive effect on fisheries production. In partial technology and working hours is not significantly impact on fish production. In the third structural equation, simultaneously age, experience, education, working capital, access to institutional and infrastructure effects on family income significantly. Partial variable, experience, working capital and institutional access is a significant positive effect on family income. Partially between age and level of infrastructure that is not significant positive effect on family income. Partially education no significant negative effect on family income. In another hand, Age, education, number of dependents, income affect on family consumption simultaneously. Partially family income and number of dependents is a significant positive effect on family consumption. Partially age no significant negative impact on family consumption. Partially education level was not significant positive effect on the level of family consumption. In the fourth structure of the equation, simultaneously variables of education, access to institutions, infrastructure, number of dependents and the fish production significantly influence the reduction of poverty. Partially education and significant has negative effect on poverty reduction. Partially institutional access has a significant negative effect on poverty. In partial infrastructure significantly affect the number of dependents reduce poverty.
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