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首页> 外文期刊>Indian Journal of Marine Sciences >Economic appraisal of offshore fisheries: A study on trawl fishing operations in Pakistan
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Economic appraisal of offshore fisheries: A study on trawl fishing operations in Pakistan

机译:海外渔业的经济评估:巴基斯坦拖网捕捞业务研究

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摘要

This study attempts to show the effects and relative contributions of the different fisheries factors affecting the revenues for a sample of commercial offshore trawling vessels operating in the Exclusive Economic Zone (EEZ) of Pakistan. In this study, the level of relative contribution of each determinant is estimated by using the Standard Multiple Linear regression (SMLR) with standardized regression coefficients and correlation methods. The data were collected through the survey questionnaire and direct interviews with the boat owners and fishermen. The estimated standard beta regression coefficient values for the catch (beta(1) =0.253), horsepower (beta(2) =0.26), fishing days at sea (beta(3) =0.316) and skipper or captain's fishing experience (beta(4) =0.32), respectively. Similarly, the catch contributes (R-2 =17.7 %), horsepower (R-2 =18.2 %), fishing days (R-2 =22.5 %) and skipper (R-2 =23 %) on the revenue. Moreover, the correlation values for the catch (r((Revenue, Catch)) = 0.70), horsepower (r((Revenue, Horsepower)) = 0.698), fishing days (r((Revenue, Fishing Days)) = 0.713) and skipper (r((Revenue, Skipper)) = 0.718) indicates the strong positive relationship of each variable on the revenue. In conclusion, the skipper fishing experience and individual skills have a very strong influence on the maximizing of total earnings of trawling vessels.
机译:本研究试图展示影响在巴基斯坦专业经济区(EEZ)中经营的商业海上拖网船样本的收入的不同渔业因素的效果和相对贡献。在该研究中,通过使用具有标准化回归系数和相关方法的标准多个线性回归(SMLR)来估计每个决定簇的相对贡献水平。通过调查问卷收集数据,并与船主和渔民直接采访。捕获的估计标准β回归系数值(β(1)= 0.253),马力(beta(2)= 0.26),海上钓鱼天(β(3)= 0.316)和船长或船长的渔业经验(Beta( 4)= 0.32)。同样,捕获贡献(R-2 = 17.7%),马力(R-2 = 18.2%),渔日(R-2 = 22.5%)和船长(R-2 = 23%)在收入上。此外,Catch的相关值(R((收入,捕获))= 0.70),马力(R((收入,马力))= 0.698),钓鱼日(r((收入,渔业日))= 0.713)和船长(r((收入,船长))= 0.718)表示每个变量对收入的强烈正面关系。总之,船长渔业经验和个人技能对拖网船总收入的最大值产生了很强的影响。

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