Acta Nat. Sci.   |  e-ISSN: 2718-0638

Original article | Acta Natura et Scientia 2021, Vol. 2(1) 6-16

Determining the Effectiveness of Sustainable Production Activities in Fishing Sector by Data Envelopment Analysis

Hülya Sayğı, Aysun Kop, Hatice Tekoğul & Burcu Taylan

pp. 6 - 16   |  DOI:   |  Manu. Number: MANU-2101-28-0002.R3

Published online: May 04, 2021  |   Number of Views: 116  |  Number of Download: 680


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.

Keywords: Data Envelopment Analysis, Efficiency, Performance, Fisheries Sector

How to Cite this Article?

APA 6th edition
Saygi, H., Kop, A., Tekogul, H. & Taylan, B. (2021). Determining the Effectiveness of Sustainable Production Activities in Fishing Sector by Data Envelopment Analysis . Acta Natura et Scientia, 2(1), 6-16. doi: 10.29329/actanatsci.2021.314.2

Saygi, H., Kop, A., Tekogul, H. and Taylan, B. (2021). Determining the Effectiveness of Sustainable Production Activities in Fishing Sector by Data Envelopment Analysis . Acta Natura et Scientia, 2(1), pp. 6-16.

Chicago 16th edition
Saygi, Hulya, Aysun Kop, Hatice Tekogul and Burcu Taylan (2021). "Determining the Effectiveness of Sustainable Production Activities in Fishing Sector by Data Envelopment Analysis ". Acta Natura et Scientia 2 (1):6-16. doi:10.29329/actanatsci.2021.314.2.

  1. Akgöbek, Ö., Nişanci, İ., Kaya, S., & Eren, T. (2015). Using data envelopment analysis approach for measuring the performance of the branch of an educational institution. Social Sciences Research Journal, 4(3), 43-54. [Google Scholar]
  2. Aktürk D., & Kıral T. (2002). Measurement of production efficiency of cotton production with data envelopment analysis. Journal of Agricultural Sciences, 8(3), 197-203. [Google Scholar]
  3. Avadí, A., Pelletier, N., Aubin, J., Ralite, S., Núñez, J., & Fréon, P. (2015). Comparative environmental performance of artisanal and commercial feed use in Peruvian freshwater aquaculture. Aquaculture, 435, 52-66. [Google Scholar] [Crossref] 
  4. Bakırcı, F., Ekinci, E. D., & Şahinoğlu, T. (2014). The effectiveness of regional development policies: an application on sub-regions of Turkey. Atatürk University Journal of Social Sciences Institute, 18(2), 281-298. [Google Scholar]
  5. Bakırcı, F. (2006). An event measurement in the sectoral basis: An analysis with DEA. Atatürk Üniversitesi İİBF Dergisi, 20(2), 199-217. [Google Scholar]
  6. Banker, R. D., Charnes, A., & Cooper, W. (1984). Some models foe estimating technical and scale efficiencies in DEA. Management Science, 30(9), 1078-1092. [Google Scholar]
  7. Barutçugil, İ. (2002). Performance management. Career Publishing, İstanbul. [Google Scholar]
  8. Baysal, M., Erhan, B., Çerçioğlu, H., & Toklu, B. (2005). Evaluation of the performance of F-16 fighter fleets with data envelopment analysis method. The Journal of Defense Sciences, 4(2), 12-27. [Google Scholar]
  9. Behdioğlu, S., & Özcan, G. (2009). Data envelopment analysis and an application in banking sector. Süleyman Demirel University Journal of Faculty of Economics and Administrative Science, 14(3), 301-326. [Google Scholar]
  10. Beridze, J., & Anbar, A. (2019), Efficiency analysis in Georgian banking sector: An application of data envelopment analysis. Business & Management Studies: An International Journal, 7(2), 1076-1096. [Google Scholar]
  11. Bircan, H. (2011). Measurement of the efficiency of village clinics in the Sivas by data envelopment analysis. Cumhuriyet University Journal of Economics and Administrative Sciences, 12(1), 331-347. [Google Scholar]
  12. Bozoğlu, M., & Ceyhan, V. (2009). Energy conversion efficiency of trout and sea bass production in the Black Sea, Turkey. Energy, 34(2), 199-204. [Google Scholar] [Crossref] 
  13. Cinemre, H. A., Ceyhan, V., Bozoğlu, M., Demiryürek, K., & Kılıç, O. (2006). The cost efficiency of trout farms in the Black Sea Region, Turkey. Aquaculture, 251(2-4), 324-332. [Google Scholar] [Crossref] 
  14. Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision-making units. European Journal of Operational Research, 2(6), 429–444. [Google Scholar] [Crossref] 
  15. Chufen, L. (2007). The role of information technology in operating cost and operational efficiency of banks: An application of frontier efficiency analysis. Asian Journal of Management and Humanity Sciences, 2(1-4), 36-56. [Google Scholar]
  16. Coelli, T. J. (1996). A guide to FRONTIER version 4.1: A computer program for stochastic frontier production and cost function estimation (Vol. 7, pp. 1-33). CEPA Working papers. [Google Scholar]
  17. Çelik, M. K. (2016). Evaluating the efficiency of business in tourism sector with data envelopment analysis. International Journal of Economic & Administrative Studies, 17, 65-88. [Google Scholar]
  18. Çoban, O. (2007). Industrial productivity and efficiency in Turkish automotive industry. Erciyes University Journal of Faculty of Economics and Administrative Sciences, 29, 17-36. [Google Scholar]
  19. Daka, K., Gül, A., & Engindeniz, S. (2012). Production and marketing of tomatoes oriented to export in greenhouses in Muğla. Journal of Agriculture Faculty of Ege University, 49(2), 175-185. [Google Scholar]
  20. Demir, P., Derbentli, Ö., & Sakarya, E. (2012). Measurement the efficiency of dairies in the Kars Province with data envelopment analysis. Kafkas Üniversitesi Veteriner Fakültesi Dergisi, 18(2), 169-176. [Google Scholar]
  21. Deliktaş, E. (2002). Efficiency and total factor productivity analysis in Turkish manufacturing industry. METU Journal of Development, 29, 247-284. [Google Scholar]
  22. Demirci, A., & Tarhan, D. B. (2016). Ports in Turkey and efficiency measurement of these ports by using data envelopment analysis. International Journal of Economics and Administrative Sciences, 2(2), 144-160. [Google Scholar]
  23. Dogan, I., & Topalli, N. (2016). Income, carbon emission and energy consumption: The analysis of linear and non-linear causality relationship for Turkey. Business and Economics Research Journal, 7(1), 107-121. [Google Scholar] [Crossref] 
  24. Doğan, N. Ö., & Ersoy, Y. (2017). Efficiency measurement: A case study of a firm in the textile sector. Hitit University Journal of Social Sciences Institute, 10(1), 35-44. [Google Scholar]
  25. Düzakın, E., & Demirtaş, S. (2005). The use of data envelopment analysis in building personal computers with the most suitable performance. Journal of Çukurova University Institute of Social Sciences, 14(2), 265-280. [Google Scholar]
  26. Engindeniz S. (2012). Economic and technical efficiency analysis of tomato production in Izmir. Journal of Agriculture Faculty of Ege University, 50(1), 67-75. [Google Scholar]
  27. Esmaeili, A. (2006). Technical efficiency analysis for the Iranian fishery in the Persian Gulf. ICES Journal of Marine Science, 63(9), 1759-1764. [Google Scholar] [Crossref] 
  28. Esmaeili, A., & Omrani, M. (2007). Efficiency analysis of fishery in Hamoon Lake: Using DEA approach. Journal of Applied Sciences, 7(19), 2856-2860. [Google Scholar]
  29. Gardner, B., Sullivan, P. J., Morreale, S. J., & Epperly, S. P. (2008). Spatial and temporal statistical analysis of bycatch data: patterns of sea turtle bycatch in the North Atlantic. Canadian Journal of Fisheries and Aquatic Sciences, 65(11), 2461-2470. [Google Scholar] [Crossref] 
  30. Gökdoğan, O., & Demir, F. (2013). Energy input-output analysis in rose oil agriculture in Isparta province. Journal of Agricultural Sciences, 19(1), 33-43. [Google Scholar]
  31. Göktolga, Z. G., & Artut, A. (2011). Evaluation of high schools in Sivas province by data envelopment analysis Journal of Economics and Administrative Sciences, 12(2), 63-78. [Google Scholar]
  32. Griffin, W. L., & Woodward, R. T. (2011). Determining policy-efficient management strategies in fisheries using data envelopment analysis (DEA). Marine Policy, 35(4), 496-507. [Google Scholar] [Crossref] 
  33. Hoff, A. (2007). Second stage DEA: Comparison of approaches for modelling the DEA score. European Journal of Operational Research, 181(1), 425-435. [Google Scholar] [Crossref] 
  34. Holland, D. S., & Lee, S. T. (2002). Impacts of random noise and specification on estimates of capacity derived from data envelopment analysis. European Journal of Operational Research, 137(1), 10-21. [Google Scholar] [Crossref] 
  35. Hoque, R., & Rahyan, I. (2012). Data envelopment analysis of banking sector in Bangladesh. Russian Journal of Agricultural and Socio-Economic Sciences, 5(5), 17-22. [Google Scholar]
  36. Iribarren, D., Vázquez-Rowe, I., Moreira, M. T., & Feijoo, G. (2010). Further potentials in the joint implementation of life cycle assessment and data envelopment analysis. Science of the Total Environment, 408(22), 5265-5272. [Google Scholar] [Crossref] 
  37. Kayalıdere, K., & Kargın, S. (2004). Efficiency study and data envelopment analysis in cement and textile sectors. Dokuz Eylul University The Journal of Graduate School of Social Sciences, 6(1), 196-219. [Google Scholar]
  38. Kaya, P., & Aktan, H. E. (2011). A non-parametric analysis of Turkish agricultural productivity. Journal of Alanya Faculty of Business, 3(1), 261-282. [Google Scholar]
  39. Kecek, G. (2010). Data envelopment analysis theory and application example. Ankara Siyasal Printing House, 1st Edition. [Google Scholar]
  40. Kirkley, J., Paul, C. J. M., & Squires, D. (2002). Capacity and capacity utilization in common-pool resource industries. Environmental and Resource Economics, 22(1-2), 71-97. [Google Scholar]
  41. Koyubenbe, N. (2006). Comparison of the technical efficiencies of dairy farms in Ödemiş, Tire, Bayındır and Torbalı districts, the basin of Küçük Menderes. Journal of Animal Production, 47(2), 9-20. [Google Scholar]
  42. Kumar, N., & Singh, A. (2014). Efficiency analysis of banks using DEA: A review. International Journal of Advance Research and Innovation, 1, 120-126. [Google Scholar]
  43. Külekçi, M. (2014). The determination of profit efficiency in pistachio production; application of data envelopment analysis. Journal of Agricultural Faculty of Gaziosmanpasa University, 31(1), 94-103. [Google Scholar]
  44. Kyriaki, S. (2017). Efficiency: Concepts, empirical investigation and applications in Greek hospitals. Hellenic Journal of Nursing Science, 3(2), 43-48. [Google Scholar]
  45. Maravelias, C. D., & Tsitsika, E. V. (2008). Economic efficiency analysis and fleet capacity assessment in Mediterranean fisheries. Fisheries Research, 93(1-2), 85-91. [Google Scholar]
  46. Mohammadi, A., Rafiee, S., Jafari, A., Keyhani, A., Dalgaard, T., Knudsen, M. T., Nguyen, L., Borek, R., & Hermansen, J. E. (2015). Joint life cycle assessment and data envelopment analysis for the benchmarking of environmental impacts in rice paddy production. Journal of Cleaner Production, 106, 521-532. [Google Scholar] [Crossref] 
  47. Özden, Ü. H. (2008). Measuring the effectiveness of Istanbul universities with data envelopment analysis (DEA). Istanbul University Journal of the School of Business Administration, 37(2), 167-185. [Google Scholar]
  48. Pascoe, S., & Herrero, I. (2004). Estimation of a composite fish stock index using data envelopment analysis. Fisheries Research, 69(1), 91-105. [Google Scholar]
  49. Rabar, D. (2017). An overview of data envelopment analysis application in studies on the socio-economic performance of OECD countries. Economic Research-Ekonomska Istraživanja, 30(1), 1770-1784. [Google Scholar]
  50. Reig-Martı́nez, E., & Picazo-Tadeo, A. J. (2004). Analysing farming systems with data envelopment analysis: Citrus farming in Spain. Agricultural Systems, 82(1), 17-30. [Google Scholar]
  51. Rodríguez-Díaz, J. A., Camacho-Poyato, E., & López-Luque, R. (2004). Application of data envelopment analysis to studies of irrigation efficiency in Andalusia. Journal of Irrigation and Drainage Engineering, 130(3), 175-183. [Google Scholar]
  52. Seki., İ., & Akbulut, M. (2015). The analysis of the determinants of efficiency and productivity of firms in fisheries industry in TR22 region. Turkish Journal of Agricultural Economics, 21(1), 1-6. [Google Scholar]
  53. Sevinç, A., & Eren, T., (2016). An application of sector of casting in Konya industry by analysis of data envelopment. Journal of Life Economics, 3(Special), 25-42. [Google Scholar]
  54. Seyrek, İ. H., & Ata, H. A. (2010). Efficiency measurement in deposit banks using data envelopment analysis and data mining. Journal of BRSA Banking & Financial Markets, 4(2), 67-84. [Google Scholar]
  55. Sherman, H. D. (1984). Data envelopment analysis as a new managerial audit methodology- test and evaluation. Auditing. A Journal of Practice and Theory, 35- 53. [Google Scholar]
  56. Sharma, K. R., Leung, P., Chen, H., & Peterson, A. (1999). Economic efficiency and optimum stocking densities in fish polyculture: an application of data envelopment analysis (DEA) to Chinese fish farms. Aquaculture, 180(3-4), 207-221. [Google Scholar]
  57. Sgroi, F., Candela, M., Trapani, A. M. D., Foderà, M., Squatrito, R., Testa, R., & Tudisca, S. (2015). Economic and financial comparison between organic and conventional farming in Sicilian lemon orchards. Sustainability, 7(1), 947-961. [Google Scholar]
  58. Tetik, S. (2003). Data envelopment analysis in determining business performance. Journal of Management and Economics, 10(2), 221-230. [Google Scholar]
  59. Tingley, D., Pascoe, S., & Mardle, S. (2003). Estimating capacity utilisation in multi-purpose, multi-metier fisheries. Fisheries Research, 63(1), 121-134. [Google Scholar]
  60. Tingley, D., Pascoe, S., & Coglan, L. (2005). Factors affecting technical efficiency in fisheries: stochastic production frontier versus data envelopment analysis approaches. Fisheries Research, 73(3), 363-376. [Google Scholar]
  61. Tsitsika, E. V., Maravelias, C. D., Wattage, P., & Haralabous, J. (2008). Fishing capacity and capacity utilization of purse seiners using data envelopment analysis. Fisheries Science, 74(4), 730-735. [Google Scholar]
  62. Torun, N. K., & Özdemir, A. (2015). Efficiency analysis of Turkish banking sector using data envelopment analysis during the 2008 global financial crisis. Selcuk University Journal of Institute of Social Sciences, 33, 129-142. [Google Scholar]
  63. Uyguntürk, H., & Korkmaz, T. (2016). The determination of efficiency of the retail-sector companies whose shares are traded in Borsa Istanbul with data envelopment analysis. Balkan Journal of Social Sciences, 12, 411-427. [Google Scholar]
  64. Vázquez-Rowe, I., & Tyedmers, P. (2013). Identifying the importance of the “skipper effect” within sources of measured inefficiency in fisheries through data envelopment analysis (DEA). Marine Policy, 38, 387-396. [Google Scholar]
  65. Vázquez-Rowe, I., Iribarren, D., Moreira, M. T., & Feijoo, G. (2010). Combined application of life cycle assessment and data envelopment analysis as a methodological approach for the assessment of fisheries. The International Journal of Life Cycle Assessment, 15(3), 272-283. [Google Scholar]
  66. Vázquez-Rowe, I., Villanueva-Rey, P., Iribarren, D., Moreira, M. T., & Feijoo, G. (2012). Joint life cycle assessment and data envelopment analysis of grape production for vinification in the Rías Baixas appellation (NW Spain). Journal of Cleaner Production, 27, 92-102. [Google Scholar]
  67. Walden, J. B., & Kirkley, J. (2000). Measuring capacity of the New England otter trawl fleet. Proceedings of the International Institute of Fisheries Economics & Trade (IIFET), USA, pp. 1-9. [Google Scholar]
  68. Yaylalı, M., & Çalmaşur, G. (2014). Cost and total factor productivity in the Turkish automotive industry. Journal of Graduate School of Social Sciences, 18(3), 325-350. [Google Scholar]
  69. Yin, K., Wang, R., An, Q., Yao, L., & Liang, J. (2014). Using eco-efficiency as an indicator for sustainable urban development: A case study of Chinese provincial capital cities. Ecological Indicators, 36, 665-671. [Google Scholar]
  70. Yükçü, S., & Atağan, G. (2009). Etkinlik, etkililik ve verimlilik kavramlarının yarattığı karışıklık. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 23(4), 1-13. [Google Scholar]
  71. Yiğit, V., & Esen, H. (2017). Performance measurement in hospitals with Pabon Lasso model and data envelopment analysis. Suleyman Demirel University The Journal of Health Science, 8(2), 26-32. [Google Scholar]