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Evaluation of productivity in extensive aquaculture practices using intersptial TFP index, sulawesi, Indonesia

机译:使用空间TFP指数评估广泛水产养殖方法的生产力,印度尼西亚苏拉威西

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Various input factors contribute to the final output in extensive aquaculture systems. These include culture practices, skill level of the farmer technology applied, species cultured, geographic location to market centers and environmental factors, among others. The evaluation of these factors in the context of Total Factor Productivity (TFP) analysis allows the comparison of specific characteristics of inputs in relation to their impact on outputs in the culture system which can assist in optimizing production under the conditions examined. Total Factor Productivity (TFP) index, which is defined conceptually as the ratio of an index of total output to an index of all factor inputs, is adopted widely as the standard approach in measuring the total factor productivity. In this paper, we use a variant of the Tornquist Index, a TFP index, to examine the interspatial productivity differences of extensive farms in Indonesia practicing various forms of polyculture and milkfish monoculture. The data set comprises a total of 55 farms located at three different geographic and economic regions of Sulawesi. Polyculture farms carry out different combinations of crab (Scylla serrata), shrimp (Penaeus monodon), seaweed (Gracilaria sp.) and milkfish (Chanos chanos) cultures. TFP indexes are obtained from seed, labor, fertilizer, feed, and chemicals as variable inputs and the four different outputs (species cultured), adjusted by the input cost and output revenue shares for each farm. TFP indexes are then regressed against nine geographical locations, eight culture systems (seven different polycultures and the milk fish monoculture) and total pond area, in order to estimate the individual effects of these variables. Estimated TFP values range from 0.7 to 4.41 (#mu# = 1.52, #sigma# = 0.819). Results of the regression show that polyculture plays a main role in achieving high TFP, particularly the inclusion of seaweed, a key species to increase productivity. A polyculture combination with Gracilaria sp. positively affected TFP (p<0.005). From all other combinations of organisms under culture, only the polyculture of milkfish and crab has a positive effect on productivity. Total pond area is found to be inversely related to TFP (p<0.05). Geographicai locations do not appear to affect TFP significantly. Finally, based on these results some considerations for aquacultural development policies are presented.
机译:各种投入因素有助于广泛的水产养殖系统的最终产出。其中包括养殖实践,所应用农民技术的技能水平,养殖物种,市场中心的地理位置和环境因素等。在全要素生产率(TFP)分析的背景下对这些因素进行评估,可以比较投入物的特定特征及其对培养系统中产出的影响,这有助于在所考察的条件下优化生产。在概念上定义为总产出指数与所有要素投入指数之比的全要素生产率(TFP)指数被广泛用作衡量全要素生产率的标准方法。在本文中,我们使用了TFP指数Tornquist指数的一种变体,来检验印度尼西亚实行各种形式的混养和遮目鱼单一养殖的广泛养殖场的空间生产力差异。该数据集包括位于苏拉威西岛三个不同地理和经济区域的总共55个农场。混养养殖场进行螃蟹(Scylla serrata),虾(Penaeus monodon),海藻(Gracilaria sp。)和遮目鱼(Chanos chanos)养殖的不同组合。 TFP指数是从种子,劳动力,肥料,饲料和化学品等可变输入以及四种不同的产出(养殖物种)中获得的,并根据每个农场的投入成本和产出收入份额进行了调整。然后,针对9个地理位置,8个养殖系统(7种不同的混养和乳鱼单养)和总池塘面积,对TFP指数进行回归,以估计这些变量的单独影响。 TFP的估计值范围为0.7到4.41(#mu#= 1.52,#sigma#= 0.819)。回归结果表明,混养在实现高TFP方面起着主要作用,尤其是海藻的掺入,海藻是提高生产力的关键物种。与Gracilaria sp。的混养组合。积极影响的全要素生产率(p <0.005)。对于所有其他正在培养的生物体组合,只有遮目鱼和螃蟹的混养对生产力有积极影响。发现池塘总面积与全要素生产率成反比(p <0.05)。地理位置似乎对TFP没有明显影响。最后,基于这些结果,提出了有关水产养殖发展政策的一些考虑因素。

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