Value Stream Analysis and Middlemen Impact of Skipjack Tuna and Smoothbelly Sardinella Dried Fish Value Chains in Sri Lanka

Q3 Engineering Advances in Technology Innovation Pub Date : 2022-08-29 DOI:10.31357/ait.v2i3.5661
Shalika Laksan Wickrama, D. Koralagama, Sandika Abeysinghe
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Abstract

Value-added activities, chain structures, and middlemen impact are incomprehensible in the dried fish economy. Processors have a significant impact at the initial stage of the value chain, but little control over value chain management; however vastly monopolized by intermediaries. Yet, the processors receive poor returns compared to other actors in the value chain. Value stream analysis visualizes the value additions incorporated by all the actors and agents in the value chain. Despite the literature states of different returns along the value chain, a comprehensive mapping is needed to assess the contribution by actors and agents over Value Added (VA), Necessary Value Added (NVA) and Non-Necessary Value Added activities (NNVA). This will enable fair and efficient functions in the value chain. The same scenario is common in dried fish value chains in Sri Lanka which is inadequately researched. This study aims to conduct a value stream analysis, middlemen impact assessment, and their relationship for skipjack tuna and smoothbelly sardinella dried fish value chains representing the highest per-capita consumption dried fish varieties in Sri Lanka. Hambantota, Matara, Puttalam, and Gampaha were selected to conduct the study representing the highest dried fish production districts. A quantitative data collection method was adopted employing a pre-tested structured questionnaire. A simple random sampling technique was used to draw the sample from processors, wholesalers and retailers where the sample sizes were 100, ,40, and 40 respectively. Secondary data were collected from reputed published materials. Data were analyzed mainly using descriptive techniques. The number of VA, NV,A and NNVA activities are approximately decreased through the skipjack tuna value chain as processor (VA-10, NVA-01, NNVA-02), wholesaler (VA-2, NVA-1, NNVA-4) and retailer (VA-02, NVA-01, NNVA-01) and for smoothbelly sardinella processor (VA-08, NVA-01, NNVA-02), wholesaler (VA-02, NVA-01, NNVA-02) and retailer (VA-01, NVA-01, NNVA-02) levels. Time spent for each activity is decreased through value chain for both dried fish varieties. The market margins for skipjack tuna and smoothbelly sardinella are 46.64% and 38.19% respectively. Profit margins are increased along the value chain at the processor, wholesaler and retailer levels for skipjack tuna (9.63%, 15.25%, 27.22%) and smoothbelly sardinella (12.53%, 14.23%, 20.98%) respectively. In contrast, profit gain was not fairly distributed along the value chain proportionately contribution to activities and times spent by actors. This recommended an effective mechanism for fair profit sharing for dried fish actors based on their contribution to value addition and time spent on each activity.
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斯里兰卡鲣鱼、金枪鱼和沙肚鱼干价值链的价值流分析及中间商影响
在干鱼经济中,增值活动、连锁结构和中间商的影响是不可理解的。加工商在价值链的初始阶段具有显著的影响,但对价值链管理的控制力很小;然而被中间商极大地垄断。然而,与价值链上的其他参与者相比,加工商的回报很低。价值流分析可视化了价值链中所有参与者和代理所包含的附加价值。尽管文献表明价值链上的回报不同,但需要一个全面的映射来评估行动者和代理人对增加价值(VA)、必要增加价值(NVA)和非必要增加价值活动(NNVA)的贡献。这将在价值链中实现公平和高效的功能。同样的情况在斯里兰卡的干鱼价值链中也很常见,但研究不足。本研究旨在对斯里兰卡人均消费最高的干鱼品种鲣鱼、金枪鱼和沙肚沙丁鱼干鱼价值链进行价值流分析、中间商影响评估及其关系。汉班托塔、Matara、Puttalam和Gampaha被选中进行研究,代表了干鱼产量最高的地区。采用预测式结构化问卷定量收集数据。采用简单的随机抽样技术从加工商、批发商和零售商中抽取样本,样本量分别为100人、40人和40人。次要数据是从知名的出版材料中收集的。数据分析主要采用描述性技术。在鲣鱼价值链中,作为加工商(VA-10、NVA-01、NNVA-02)、批发商(VA-2、NVA-1、NNVA-4)和零售商(VA-02、NVA-01、NNVA-01)以及沙腹沙丁鱼加工商(VA-08、NVA-01、NNVA-02)、批发商(VA-02、NVA-01、NNVA-02)和零售商(VA-01、NVA-01、NNVA-02)级别,VA、NV、A和NNVA活动的数量大致减少。每项活动花费的时间通过价值链减少了两种干鱼品种。鲣鱼和沙肚沙丁鱼的市场利润率分别为46.64%和38.19%。鲣鱼(9.63%,15.25%,27.22%)和沙肚沙丁鱼(12.53%,14.23%,20.98%)的加工、批发和零售商在价值链上的利润率分别有所增加。相比之下,利润收益并没有在价值链上按比例分配给参与者的活动和花费的时间。该报告建议建立一种有效的机制,根据干鱼演员对增值的贡献和在每项活动上花费的时间,公平分享利润。
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来源期刊
Advances in Technology Innovation
Advances in Technology Innovation Energy-Energy Engineering and Power Technology
CiteScore
1.90
自引率
0.00%
发文量
18
审稿时长
12 weeks
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