巴厘岛Jembrana Cape国家需求发展中村庄渔业变化价值与捕捞类型的关系分析

I. Sekar, I. P. Dirgayusa, Ni Luh Putu Ria Puspitha
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引用次数: 0

摘要

本研究旨在确定Pengambengan村渔民的汇率以及渔获物组成如何影响围网渔民的收入。本研究以彭甘本干村围网渔民为对象,采用有针对性的抽样方法,采用问卷调查和访谈的方法收集数据。本研究中使用的方法是NTN计算方法和多元线性回归统计方法,其中包括假设检验、T-tets、F-检验和决定系数(调整后的R2平方)。结果表明,在收获季节,几乎所有的渔民都经历了盈余(NTN超过100),而在饥荒季节,只有高利润分享制度的渔民经历了盈余,其他渔民则经历了劣势。在这两个季节,渔民的渔获物组成包括勒穆鲁、通科尔和拉扬;根据T检验结果,勒穆鲁渔获物在收获季节显著影响渔民收入,而羊渔获物则在饥荒季节影响渔民收入。有时,与仅1种类型的渔获物相比,渔获物组成、勒穆鲁、通科尔和拉扬对渔民收入的影响,从决定系数来看,在收获季节为6,6%,在饥荒季节为7,5%。渔民的收入也受到其他不包括在内的变量的影响。在模型中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analisis Hubungan Nilai Tukar Nelayan Dengan Jenis Tangkapan Nelayan Di Desa Pengambengan, Kecamatan Negara, Kabupaten Jembrana, Bali
This research aims to determine the fishermen’s exchange rate (NTN) and how the catch composition could affect the income of purse sein fishermen in Pengambengan Village. The object of the research is purse sein fishermen in Pengambengan Village, sampling has carried out by using purposive technique, and data was collected using questionnaires and interviews. The method used in this research are the NTN calculation method and multiple linear regression statistical method with hypothesis test, T-tets, F-test, and the coefficient of determination (adjusted R2 Square). The results show in the harvest season, almost all of the fishermen experienced a surplus (NTN above 100), while in the famine season only fishermen with high profit-sharing system experienced a surplus and the other experienced a disadvantage. For both of the two seasons, the fishermen’s catch composition are consist of lemuru, tongkol and layang; base on the T-test results, lemuru catch affect significantly on fishermen’s income during the harvest season, and layang catch affect the income of fishermen in the famine season. somultaneously the catch composition, lemuru, tongkol and layang affect fishermen income compared only 1 type of fish catch, and seen from the Coefficient of Determination by 6,6 % in the harvest and by 7,5 % in the famine season. The fishermen’s income is also influenced by other variables which are not included. in the model.
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