Technical efficiency of sea bass and sea bream farming in the Mediterranean Sea by European firms: A stochastic production frontier (SPF) approach

References

• Alam, M. F. (2011). Measuring technical, allocative and cost efficiency of pangas (Pangasius hypophthalmus: Sauvage 1878) fish farmers of Bangladesh. Aquaculture Research, 42(10), 1487–1500. https://doi.org/10.1111/j.1365-2109.2010.02741.x
   Web of Science ®Google Scholar
• Alam, M. F., & Murshed-e-Jahan, K. (2008). Resource allocation efficiency of the prawn-carp farmers of Bangladesh. Aquaculture Economics & Management, 12(3), 188–206.
   Google Scholar
• Alvarez, R., & Crespi, G. A. (2003). Determinants of technical efficiency in small firms. Small Business Economics, 20(3), 233–244. https://doi.org/10.1023/A:1022804419183
   Web of Science ®Google Scholar
• Ara, L. A., Alam, M. F., Rahman, M. M., & Jabbar, M. A. (2004). Yield gaps, production losses and technical efficiency of selected groups of fish farmers in Bangladesh. Indian Journal of Agricultural Economics, 59(4), 808–818.
   Google Scholar
• Asche, F. (2008). Farming the sea. Marine Resource Economics, 23(4), 527–547. https://doi.org/10.1086/mre.23.4.42629678
   Web of Science ®Google Scholar
• Asche, F., Cojocaru, A. L., & Roth, B. (2018). The development of large scale aquaculture production: A Comparison of the supply chains for chicken and salmon. Aquaculture, 493, 446–455. https://doi.org/10.1016/j.aquaculture.2016.10.031
   Web of Science ®Google Scholar
• Asche, F., Guttormsen, A. G., & Nielsen, R. (2013). Future challenges for the maturing Norwegian salmon aquaculture industry: An analysis of total factor productivity change from 1996 to 2008. Aquaculture, 396-399, 43–50. https://doi.org/10.1016/j.aquaculture.2013.02.015
   Web of Science ®Google Scholar
• Asche, F., & Roll, K. H. (2013). Determinants of inefficiency in Norwegian salmon aquaculture. Aquaculture Economics & Management, 17(3), 300–321.
   Web of Science ®Google Scholar
• Asche, F., Roll, K. H., & Tveteras, R. (2007). Productivity growth in the supply chain – another source of competitiveness for aquaculture. Marine Resource Economics, 22(3), 329–334. https://doi.org/10.1086/mre.22.3.42629562
   Web of Science ®Google Scholar
• Asche, F., Roll, K. H., & Tveteras, R. (2009). Economic inefficiency and environmental impact: An application to aquaculture production. Journal of Environmental Economics and Management, 58(1), 93–105. https://doi.org/10.1016/j.jeem.2008.10.003
   Web of Science ®Google Scholar
• Battese, G. E., & Coelli, T. J. (1993). A stochastic frontier production function incorporating a model for technical inefficiency effects. Working Paper 93/05, Department of Econometrics, University of New England, Armidale, Australia.
   Google Scholar
• Battese, G. E., & Coelli, T. J. (1995). A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Economics, 20(2), 325–332. https://doi.org/10.1007/BF01205442
   Google Scholar
• Belotti, F., Daidone, S., Ilardi, G., & Atella, V. (2013). Stochastic frontiers using Stata. The Stata Journal: Promoting Communications on Statistics and Stata, 13(4), 719–758. https://doi.org/10.1177/1536867X1301300404
   Google Scholar
• Bergesen, O., & Tveterås, R. (2019). Innovation in seafood value chains: The case of Norway. Aquaculture Economics & Management, 23(3), 292–320.
   Web of Science ®Google Scholar
• Bozoglu, M., Ceyhan, V., Cinemre, H. A., Demiryurek, K., & Lilic, O. (2006). Evaluation of different trout farming systems and some policy issues in the Black Sea region. Turkey. Journal of Applied Sciences, 6(14), 2882–2888.
   Google Scholar
• Cesaro, L., Marongiu, S., Arfini, F., Donati, M., & Capelli, M. G. (2009). Methodology for Analysing Competitiveness, Efficiency, and Economy of Scale. Use and applications of DEA. FACEPA Deliverable No. D5.1.3, INEA, Italy.
   Google Scholar
• Cinemre, H. A., Ceyhan, V., Bozoğlu, M., Demiryürek, K., & Kılıç, O. (2006). The cost efficiency of trout farms in the Black Sea region. Aquaculture, 251(2-4), 324–332. https://doi.org/10.1016/j.aquaculture.2005.06.016
   Web of Science ®Google Scholar
• Dey, M. M., Paraguas, F. J., Bimbao, G. B., & Regaspi, P. B. (2000). Technical efficiency of tilapia growout pond operations in the Philippines. Aquaculture Economics & Management, 4(1–2), 33–47.
   Google Scholar
• Dey, M. M., Paraguas, F. J., Srichantuk, N., Xinhua, Y., Bhatta, R., & Dung, L. T. C. (2005). Technical efficiency of freshwater pond polyculture production in selected Asian countries: Estimation and implication. Aquaculture Economics & Management, 9(1–2), 39–63.
   Google Scholar
• EU. (2012). Fisheries and Aquaculture in Europe, No. 59, December. European Commission, DG for Maritime Affairs and Fisheries, Belgium.
   Google Scholar
• Eurostat. (2019). Aquaculture in the EU. https://ec.europa.eu/eurostat/web/products-eurostat-news/-/EDN-20191015-2
   Google Scholar
• Farrell, M. J. (1957). The measurement of productive efficiency. Journal of Royal Statistical Society, 120(3), 253–281. https://doi.org/10.2307/2343100
   Web of Science ®Google Scholar
• Garlock, T., Asche, F., Anderson, J., Bjørndal, T., Kumar, G., Lorenzen, K., Ropicki, A., Smith, M. D., & Tveterås, R. (2020). A global blue revolution: Aquaculture growth across regions, species, and countries. Reviews in Fisheries Science & Aquaculture, 28(1), 107–116.
   Web of Science ®Google Scholar
• Globefish. (2015). Analysis and information on world fish trade. Market reports: European seabass and Gilthead seabream – March 2015. http://www.fao.org/in-action/globefish/market-reports/resource-detail/fr/c/429234/
   Google Scholar
• Guillen, J., Asche, F., Carvalho, N., Fernández Polanco, J. M., Llorente, I., Nielsen, R., Nielsen, M., & Villasante, S. (2019). Aquaculture subsidies in the European Union: Evolution, impact and future potential for growth. Marine Policy, 104, 19–28. https://doi.org/10.1016/j.marpol.2019.02.045
   Web of Science ®Google Scholar
• Helali, K., & Kalai, M. (2015). Estimate of the elasticities of substitution of the CES and translog production functions in Tunisia. International Journal of Economics and Business Research, 9(3), 245–253. https://doi.org/10.1504/IJEBR.2015.068544
   Google Scholar
• Iinuma, M., Sharma, R., & Leung, P. (1999). Technical efficiency of carp pond culture in peninsula Malaysia: An application of stochastic production frontier and technical inefficiency model. Aquaculture, 175(3-4), 199–213. https://doi.org/10.1016/S0044-8486(99)00033-2
   Web of Science ®Google Scholar
• Iliyasu, A., Mohamed, Z. A., & Terano, R. (2016). Comparative analysis of technical efficiency for different production culture systems and species of freshwater aquaculture in Peninsular Malaysia. Aquaculture Reports, 3, 51–57. https://doi.org/10.1016/j.aqrep.2015.12.001
   Web of Science ®Google Scholar
• Islam, G., Md, N., Tai, S. Y., & Kusairi, M. N. (2016). A stochastic frontier analysis of technical efficiency of fish cage culture in Peninsular Malaysia. SpringerPlus, 5(1), 127–137. https://doi.org/10.1186/s40064-016-2775-3
   PubMedGoogle Scholar
• Kaliba, A. R., & Engle, C. R. (2006). Productive efficiency of catfish farms in Chicot County Arkansas. Aquaculture Economics & Management, 10(3), 223–243.
   Google Scholar
• Karagiannis, G., & Katranidis, S. D. (2007). A production function analysis of seabass and seabream production in Greece. Journal of the World Aquaculture Society, 31(3), 297–305. https://doi.org/10.1111/j.1749-7345.2000.tb00881.x
   Google Scholar
• Karagiannis, G., Katranidis, S. D., & Tzouvelekas, V. (2002). Measuring and attributing technical inefficiencies of seabass and seabream production in Greece. Applied Economics Letters, 9(8), 519–522. https://doi.org/10.1080/13504850110099293
   Web of Science ®Google Scholar
• Kumar, A., Birthal, P. S., & Badruddin, A. (2004). Technical efficiency in shrimp farming in India: Estimation and implications. Indian Journal of Agricultural Economics, 59(3), 413–420.
   Google Scholar
• Kumar, G., Engle, C., & Tucker, C. (2018). Factors driving aquaculture technology adoption. Journal of the World Aquaculture Society, 49(3), 447–476. https://doi.org/10.1111/jwas.12514
   Web of Science ®Google Scholar
• Lachaal, L., Chebil, A., & Dhehibi, B. (2004). A panel data approach to the measurement of technical efficiency and its determinants: Some evidence from the Tunisian agro-food industry. Agricultural Economics Review, 5(1), 15–23.
   Google Scholar
• Lakner, S., & Breustedt, G. (2015). Productivity and technical efficiency of organic farming – A literature survey. Acta Fytotechnica et Zootechnica, 18(special issue), 74–77.
   Google Scholar
• Llorente, I., Fernández-Polanco, J., Baraibar-Diez, E., Odriozola, M. D., Bjørndal, T., Asche, F., Guillen, J., Avdelas, L., Nielsen, R., Cozzolino, M., Luna, M., Fernández-Sánchez, J. L., Luna, L., Aguilera, C., & Basurco, B. (2020). Assessment of the economic performance of the seabream and seabass aquaculture industry in the European Union. Marine Policy, 117, 103876. https://doi.org/10.1016/j.marpol.2020.103876
   Web of Science ®Google Scholar
• Llorente, I., & Luna, L. (2013). The competitive advantages arising from different environmental conditions in seabream, Sparus aurata, production in the Mediterranean Sea. Journal of the World Aquaculture Society, 44(5), 611–627. https://doi.org/10.1111/jwas.12069
   Web of Science ®Google Scholar
• Misra, J., & Misra, S. R. (2014). Technical efficiency of fish farms in West Bengal: Nature, extent and implications. Agricultural Economics Research Review, 27(2), 221–232. https://doi.org/10.5958/0974-0279.2014.00026.3
   Google Scholar
• Ngoc, P. T. A., Gaitán-Cremaschi, D., Meuwissen, M. P. M., Le, T. C., Bosma, R. H., Verreth, J., & Lansink, A. O. (2018). Technical inefficiency of Vietnamese pangasius farming: A data envelopment analysis. Aquaculture Economics & Management, 22(2), 229–243.
   Web of Science ®Google Scholar
• Rezitis, A. N., & Kalantzi, M. A. (2016). Investigating technical efficiency and its determinants by data envelopment analysis: An application in the Greek food and beverages manufacturing industry. Agribusiness, 32(2), 254–271. https://doi.org/10.1002/agr.21432
   Web of Science ®Google Scholar
• Rocha Aponte, F., & Tveterås, S. (2019). On the drivers of cost changes in the Norwegian salmon aquaculture sector: A decomposition of a flexible cost function from 2001 to 2014. Aquaculture Economics & Management, 23(3), 276–291. https://doi.org/10.1080/13657305.2018.1551438
   Web of Science ®Google Scholar
• Roll, K. H. (2019). Moral hazard: The effect of insurance on risk and efficiency. Agricultural Economics, 50(3), 367–375. https://doi.org/10.1111/agec.12490
   Web of Science ®Google Scholar
• Sharma, 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. https://doi.org/10.1016/S0044-8486(99)00202-1
   Web of Science ®Google Scholar
• 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. https://doi.org/10.1016/j.fishres.2005.01.008
   Web of Science ®Google Scholar
• Tveteras, R., & Battese, G. E. (2006). Agglomeration externalities, productivity, and technical inefficiency. Journal of Regional Science, 46(4), 605–625. https://doi.org/10.1111/j.1467-9787.2006.00470.x
   Web of Science ®Google Scholar
• Tzouvlekas, V., Pantzios, C. J., & Fotopoulos, C. (2001). Technical efficiency of alternative farming systems: The case of Greek organic and conventional olive-growing farms. Food Policy, 26(6), 549–569.
   Web of Science ®Google Scholar