Socio-Economic Conditions in Relation to Seaweed Farmers' Income and Independence

Derek Bakarbessy
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Abstract

ground: With the potential of natural resources, seaweed become one of promising commodities which can improve and accelerate national development in general and marine and fishery sector development particularly. Marine and fishery sector development is not only exploitation approach but it is directed toward attempt to improve added value of cultivation. Aim: This study aims to analyze the effect of social economic factor toward income and independence of seaweed farmer in Maluku Tenggara Barat Region. Method: This study was designed with the type of model combination sequential explanatory design. The population in this study was all seaweed farmers in Maluku Tenggara Barat region as 1.485 people. The determination of sample was 10% from total population, so that sample of 148 seaweed farmers. The data was analyzed by using path analysis. Findings: The result of reference study shows that (1) capital is the most affecting variable toward independence of cultivation as 55,6% (2) Land Area was the second affecting variable toward independence as 45,2% ; (3) the number of dependent family member  is the third affecting variable toward independence as 29,9%; (4) interaction education and counseling is the forth affecting variable toward independence as 24.4% ;experiences was the fifth affecting variable toward independence as 24.3%; (6) age is the sixth affecting variable toward independence as 18.5%; (7) counseling intensity is the seventh affecting variable toward independence as 14.1%; (8) education is the eighth affecting variable toward independence as 11.8%.
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与海藻养殖户收入和独立性有关的社会经济条件
地面:由于天然资源的潜力,海藻成为一个有前途的商品,可以改善和加快国家的发展,特别是海洋和渔业部门的发展。海洋和渔业部门的发展不仅是一种开发方式,而且是一种旨在提高养殖附加值的尝试。目的:本研究旨在分析社会经济因素对马鲁古登加拉巴拉地区海藻养殖户收入和独立性的影响。方法:本研究采用模型组合序贯解释设计。本研究人群均为马鲁古登加拉巴拉地区的海藻养殖者,共1.485人。样本的测定为种群总数的10%,即148名海藻养殖户。采用通径分析法对数据进行分析。研究结果表明:(1)资本是影响耕地独立性的最大变量,占55.6%;(2)土地面积是影响耕地独立性的第二大变量,占45.2%;(3)受供养家庭成员数是影响独立性的第三个变量,为29.9%;(4)互动教育与咨询是影响独立的第四大变量,占24.4%;体验是影响独立的第五大变量,占24.3%;(6)年龄是影响独立性的第六大变量,占18.5%;(7)咨询强度是影响独立性的第七大变量,占14.1%;(8)教育是影响独立性的第八大变量,占11.8%。
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CiteScore
0.40
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0.00%
发文量
21
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