Determining the Effectiveness of Sustainable Production Activities in Fishing Sector by Data Envelopment Analysis
Data envelopment analysis is used when it is difficult to measure the relative effectiveness of organizational decision-making units due to a large number of similar inputs and outputs. Firstly, data envelopment analysis was discussed in this study. In this context, relative activities of 10 compan...
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Prensip Publishing
2021-05-01
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| Series: | Acta Natura et Scientia |
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| Online Access: | https://prensipjournals.com/ojs/index.php/actanatsci/article/view/177 |
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| author | Hülya Sayğı Aysun Kop Hatice Tekoğul Burcu Taylan |
| author_facet | Hülya Sayğı Aysun Kop Hatice Tekoğul Burcu Taylan |
| author_sort | Hülya Sayğı |
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Data envelopment analysis is used when it is difficult to measure the relative effectiveness of organizational decision-making units due to a large number of similar inputs and outputs. Firstly, data envelopment analysis was discussed in this study. In this context, relative activities of 10 companies have been operating in fisheries sector for last nine years (2009-2017) which entered the Fortune 500 in Turkey and have sufficient data were measured using financial inputs and outputs. Relative effectiveness scores were obtained by examining the financial inputs and outputs of the companies that are in the Fortune 500 and operating in fisheries sector. In the second part of study, to reveal the technical efficiency and the ineffective ones resulting from the scale, DEA models including the input-oriented CCR (Charnes, Cooper, and Rhodes) and BCC (Banker, Charnes, and Cooper) model were established and the above mentioned procedures were repeated. Finally, it was investigated whether an investment system based on DEA could be established or not. DEA Frontier and DEA Solver software, one of the special software of DEA, was used for the solution of models using in data envelopment analysis. As a result of the study, the average efficacy percentage was found to be 88% for CCR and 93% for BCC. For the data obtained during 2009-2017, six companies were found to be active according to the CCR model, while seven companies were found to be effective according to the BCC model. Also, the targets were determined to activate the inactive companies.
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| format | Article |
| id | doaj-art-dc45ae9a2d7c40e6a6bb485175200bbc |
| institution | OA Journals |
| issn | 2718-0638 |
| language | English |
| publishDate | 2021-05-01 |
| publisher | Prensip Publishing |
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| series | Acta Natura et Scientia |
| spelling | doaj-art-dc45ae9a2d7c40e6a6bb485175200bbc2025-08-20T02:30:47ZengPrensip PublishingActa Natura et Scientia2718-06382021-05-012110.29329/actanatsci.2021.314.2177Determining the Effectiveness of Sustainable Production Activities in Fishing Sector by Data Envelopment AnalysisHülya Sayğı0https://orcid.org/0000-0002-3408-6709Aysun Kop1https://orcid.org/0000-0003-1724-5672Hatice Tekoğul2https://orcid.org/0000-0002-9755-8339Burcu Taylan3https://orcid.org/0000-0001-9311-5189Ege University, Faculty of Fisheries, Department of Aquaculture, İzmir, TurkeyEge University, Faculty of Fisheries, Department of Aquaculture, İzmir, TurkeyEge University, Faculty of Fisheries, Department of Aquaculture, İzmir, TurkeyEge University, Faculty of Fisheries, Department of Marine-Inland Waters Sciences and Technology, İzmir, Turkey Data envelopment analysis is used when it is difficult to measure the relative effectiveness of organizational decision-making units due to a large number of similar inputs and outputs. Firstly, data envelopment analysis was discussed in this study. In this context, relative activities of 10 companies have been operating in fisheries sector for last nine years (2009-2017) which entered the Fortune 500 in Turkey and have sufficient data were measured using financial inputs and outputs. Relative effectiveness scores were obtained by examining the financial inputs and outputs of the companies that are in the Fortune 500 and operating in fisheries sector. In the second part of study, to reveal the technical efficiency and the ineffective ones resulting from the scale, DEA models including the input-oriented CCR (Charnes, Cooper, and Rhodes) and BCC (Banker, Charnes, and Cooper) model were established and the above mentioned procedures were repeated. Finally, it was investigated whether an investment system based on DEA could be established or not. DEA Frontier and DEA Solver software, one of the special software of DEA, was used for the solution of models using in data envelopment analysis. As a result of the study, the average efficacy percentage was found to be 88% for CCR and 93% for BCC. For the data obtained during 2009-2017, six companies were found to be active according to the CCR model, while seven companies were found to be effective according to the BCC model. Also, the targets were determined to activate the inactive companies. https://prensipjournals.com/ojs/index.php/actanatsci/article/view/177Data Envelopment AnalysisEfficiencyPerformanceFisheries Sector |
| spellingShingle | Hülya Sayğı Aysun Kop Hatice Tekoğul Burcu Taylan Determining the Effectiveness of Sustainable Production Activities in Fishing Sector by Data Envelopment Analysis Acta Natura et Scientia Data Envelopment Analysis Efficiency Performance Fisheries Sector |
| title | Determining the Effectiveness of Sustainable Production Activities in Fishing Sector by Data Envelopment Analysis |
| title_full | Determining the Effectiveness of Sustainable Production Activities in Fishing Sector by Data Envelopment Analysis |
| title_fullStr | Determining the Effectiveness of Sustainable Production Activities in Fishing Sector by Data Envelopment Analysis |
| title_full_unstemmed | Determining the Effectiveness of Sustainable Production Activities in Fishing Sector by Data Envelopment Analysis |
| title_short | Determining the Effectiveness of Sustainable Production Activities in Fishing Sector by Data Envelopment Analysis |
| title_sort | determining the effectiveness of sustainable production activities in fishing sector by data envelopment analysis |
| topic | Data Envelopment Analysis Efficiency Performance Fisheries Sector |
| url | https://prensipjournals.com/ojs/index.php/actanatsci/article/view/177 |
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