FAKTOR-FAKTOR YANG MEMPENGARUHI PRODUKSI NELAYAN DI DESA LAHA KECAMATAN TELUK AMBON

Mohamad Ratmasa Serang, Harvey Hiariej
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Abstract

Analysis of the description for the indicator of maintenance costs obtained a total score of 134 which is included in the low criteria. The indicator of the cost of production expenditure on the capital variable obtained a total score of 268 which is included in the low criteria. for the number of workers obtained a total score of 270 which is included in the criteria for a little for a long time at sea, it is obtained a total score of 211 which is included in the medium criteria. for the indicator of the number of fishermen's production obtained a total score of 292 which is included in the criteria is quite high. Fishermen in Laha Village still use traditional fishing gear. This is because they do not have sufficient capital (investment) to develop their business with modern technology. Simultaneously, capital, labor, length of time at sea and climate affect production results. Partially, it shows that capital, labor, length of time at sea and climate have a two-way effect (positive and negative) on fisherman production. In this case, the variables of labor, length of time at sea and climate have a positive effect, while the capital variable has a negative effect on the production of fishermen. Based on the results of multiple regression analysis, the magnitude of the effect of capital, labor, time at sea, and climate on the production of fishermen in Laha Village is 68.3%. Meanwhile, the remaining 31.7% is influenced by other factors outside the model that are not discussed in this study.
影响安邦湾街道渔民生产的因素
对维护成本指标的描述进行分析,得到的总分为134分,属于低标准。资本变量上的生产支出成本指标获得了268分,被列入低标准。在海上工作时间较短,总得分为270分,在海上工作时间较长,总得分为211分,在海上工作时间较长,总得分为270分,在海上工作时间较长,总得分为211分,在海上工作时间较长。在渔民的生产数量指标上,获得了292分的总分,这是一个相当高的标准。拉哈村的渔民仍然使用传统的渔具。这是因为他们没有足够的资金(投资)来发展他们的业务与现代技术。同时,资本、劳动力、出海时间长短和气候也影响着生产结果。部分地,它表明资本,劳动力,海上时间长度和气候对渔民生产有双向影响(积极和消极)。在这种情况下,劳动力、出海时间长短和气候变量对渔民的生产有正向影响,而资本变量对渔民的生产有负向影响。多元回归分析结果显示,资本、劳动力、出海时间和气候对拉哈村渔民生产的影响程度为68.3%。同时,剩余的31.7%受到模型之外的其他因素的影响,本研究未对此进行讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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