Determining the Effectiveness of Sustainable Production Activities in Fishing Sector by Data Envelopment Analysis
DOI:
https://doi.org/10.29329/actanatsci.2021.314.2Keywords:
Data Envelopment Analysis, Efficiency, Performance, Fisheries SectorAbstract
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.
References
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.
Aktürk D., & Kıral T. (2002). Measurement of production efficiency of cotton production with data envelopment analysis. Journal of Agricultural Sciences, 8(3), 197-203.
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. https://doi.org/10.1016/j.aquaculture.2014.08.001
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.
Bakırcı, F. (2006). An event measurement in the sectoral basis: An analysis with DEA. Atatürk Üniversitesi İİBF Dergisi, 20(2), 199-217.
Banker, R. D., Charnes, A., & Cooper, W. (1984). Some models foe estimating technical and scale efficiencies in DEA. Management Science, 30(9), 1078-1092.
Barutçugil, İ. (2002). Performance management. Career Publishing, İstanbul.
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.
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.
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. http://dx.doi.org/10.15295/bmij.v7i2.1127
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.
Bozoğlu, M., & Ceyhan, V. (2009). Energy conversion efficiency of trout and sea bass production in the Black Sea, Turkey. Energy, 34(2), 199-204. https://doi.org/10.1016/j.energy.2008.12.001
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. https://doi.org/10.1016/j.aquaculture.2005.06.016
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision-making units. European Journal of Operational Research, 2(6), 429–444. https://doi.org/10.1016/0377-2217(78)90138-8
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.
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.
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.
Çoban, O. (2007). Industrial productivity and efficiency in Turkish automotive industry. Erciyes University Journal of Faculty of Economics and Administrative Sciences, 29, 17-36.
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.
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.
Deliktaş, E. (2002). Efficiency and total factor productivity analysis in Turkish manufacturing industry. METU Journal of Development, 29, 247-284.
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.
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. https://doi.org/10.20409/berj.2016116807
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.
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.
Engindeniz S. (2012). Economic and technical efficiency analysis of tomato production in Izmir. Journal of Agriculture Faculty of Ege University, 50(1), 67-75.
Esmaeili, A. (2006). Technical efficiency analysis for the Iranian fishery in the Persian Gulf. ICES Journal of Marine Science, 63(9), 1759-1764. https://doi.org/10.1016/j.icesjms.2006.06.012
Esmaeili, A., & Omrani, M. (2007). Efficiency analysis of fishery in Hamoon Lake: Using DEA approach. Journal of Applied Sciences, 7(19), 2856-2860.
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. https://doi.org/10.1139/F08-152
Gökdoğan, O., & Demir, F. (2013). Energy input-output analysis in rose oil agriculture in Isparta province. Journal of Agricultural Sciences, 19(1), 33-43.
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.
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. https://doi.org/10.1016/j.marpol.2010.12.003
Hoff, A. (2007). Second stage DEA: Comparison of approaches for modelling the DEA score. European Journal of Operational Research, 181(1), 425-435. https://doi.org/10.1016/j.ejor.2006.05.019
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. https://doi.org/10.1016/S0377-2217(01)00087-X
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.
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. https://doi.org/10.1016/j.scitotenv.2010.07.078
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.
Kaya, P., & Aktan, H. E. (2011). A non-parametric analysis of Turkish agricultural productivity. Journal of Alanya Faculty of Business, 3(1), 261-282.
Kecek, G. (2010). Data envelopment analysis theory and application example. Ankara Siyasal Printing House, 1st Edition.
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.
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.
Kumar, N., & Singh, A. (2014). Efficiency analysis of banks using DEA: A review. International Journal of Advance Research and Innovation, 1, 120-126.
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.
Kyriaki, S. (2017). Efficiency: Concepts, empirical investigation and applications in Greek hospitals. Hellenic Journal of Nursing Science, 3(2), 43-48.
Maravelias, C. D., & Tsitsika, E. V. (2008). Economic efficiency analysis and fleet capacity assessment in Mediterranean fisheries. Fisheries Research, 93(1-2), 85-91.
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. https://doi.org/10.1016/j.jclepro.2014.05.008
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.
Pascoe, S., & Herrero, I. (2004). Estimation of a composite fish stock index using data envelopment analysis. Fisheries Research, 69(1), 91-105.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Tetik, S. (2003). Data envelopment analysis in determining business performance. Journal of Management and Economics, 10(2), 221-230.
Tingley, D., Pascoe, S., & Mardle, S. (2003). Estimating capacity utilisation in multi-purpose, multi-metier fisheries. Fisheries Research, 63(1), 121-134.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Yükçü, S., & Atağan, G. (2009). Etkinlik, etkililik ve verimlilik kavramlarının yarattığı karışıklık. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 23(4), 1-13.
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.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Hülya Sayğı, Aysun Kop, Hatice Tekoğul, Burcu Taylan

This work is licensed under a Creative Commons Attribution 4.0 International License.