Harvest function and determinants of technical inefficiency in Turkish large-scale marine fisheries

Abstract

This study examines the harvest function and factors of technical inefficiency in Turkish large-scale marine fisheries, using data from the TURKSTAT Fisheries Statistics Micro Data Set. The main purpose is to incorporate bioeconomic modeling into technical efficiency analysis by estimating a stochastic frontier harvest function that considers both fishing effort and stock biomass. Through inefficiency effects model, the influences of vessel attributes, gear types, fishing areas, and technological instruments on the technical inefficiency of fishing units are investigated. The results indicate that fishing efficiency is influenced by gear type, regional practices, and the accessibility of specific technologies. Specifically, environmentally unfavorable methods like bottom trawling are demonstrated to be less efficient than other techniques. Additionally, Turkish fisheries are experiencing diminishing returns to both effort and stock, underlining the need for more rigorous effort reduction policies and adaptive quota regulations, particularly for economically essential species. Moreover, the results provide guidance for improving fisheries management policies in Türkiye and highlight the importance of balancing efficiency and sustainability through enhanced regulation of fishing practices, technological advancements, and regional management approaches.

Keywords

• Stochastic frontier model
• inefficiency effects
• harvest function
• fisheries management

Türkiye'deki büyük ölçekli deniz balıkçılığında hasat fonksiyonu ve teknik verimsizliğin belirleyicileri

Abstract

Bu çalışma, TÜİK Su Ürünleri İstatistikleri Mikro Veri Seti’nden elde edilen verileri kullanarak Türkiye’deki büyük ölçekli deniz balıkçılığının hasat fonksiyonunu ve teknik verimsizlik faktörlerini incelemektedir. Temel amaç, hem balıkçılık çabasını hem de stok biyokütlesini dikkate alan stokastik bir sınır üretim fonksiyonu tahmin ederek biyoekonomik modellemeyi teknik verimlilik analizine dahil etmektir. Verimsizlik etkileri modeli aracılığıyla, tekne özelliklerinin, av aracı türlerinin, avlanma alanlarının ve teknolojik araçların balıkçılık birimlerinin teknik verimsizliği üzerindeki etkileri araştırılmıştır. Sonuçlar, balıkçılık verimliliğinin av aracı türü, bölgesel uygulamalar ve belirli teknolojilerin erişilebilirliğinden etkilendiğini göstermektedir. Özellikle, dip trolü gibi çevresel açıdan elverişsiz yöntemlerin diğer tekniklere göre daha az verimli olduğu gösterilmiştir. Buna ek olarak, Türkiye’deki balıkçılıkta hem çabanın hem de stokun getirisi azalmakta, bu da özellikle ekonomik açıdan önemli türler için daha titiz çaba azaltma politikalarına ve uyarlanabilir kota düzenlemelerine duyulan ihtiyacın altı çizilmektedir. Ayrıca sonuçlar, Türkiye’deki balıkçılık yönetimi politikalarının iyileştirilmesi için yol göstermekte ve balıkçılık uygulamalarının daha iyi düzenlenmesi, teknolojik ilerlemeler ve bölgesel yönetim yaklaşımları yoluyla verimlilik ve sürdürülebilirliğin dengelenmesinin önemini vurgulamaktadır.

Keywords

• Stokastik sınır modeli
• verimsizlik etkileri
• hasat fonksiyonu
• balıkçılık yönetimi

References

1. Alvarez, A., Couce, L., & Trujillo, L. (2020). Does specialization affect the efficiency of small-scale fishing boats? Marine Policy, 113, 103796. [CrossRef]
2. Anticamara, J. A., Watson, R., Gelchu, A., & Pauly, D. (2011). Global fishing effort (1950-2010): Trends, gaps, and implications. Fisheries Research, 107(1–3), 131–136. [CrossRef]
3. Alvarez, A., & Schmidt, P. (2006). Is skill more important than luck in explaining fish catches? Journal of Productivity Analysis, 26(1), 15–25. [CrossRef]
4. 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. [CrossRef]
5. Bell, J. D., Watson, R. A., & Ye, Y. (2017). Global fishing capacity and fishing effort from 1950 to 2012. Fish and Fisheries, 18(3), 489–505. [CrossRef]
6. Coglan, L., & Pascoe, S. (2007). Implications of human capital enhancement in fisheries. Aquatic Living Resources, 20(3), 231–239. [CrossRef]
7. Dağtekin, M., Uysal, O., Candemir, S., & Genç, Y. (2021). Productive efficiency of the pelagic trawl fisheries in the Southern Black Sea. Regional Studies in Marine Science, 45. [CrossRef]
8. Dresdner, J., Campos, N., & Chávez, C. (2010). The impact of individual quotas on technical efficiency: Does quality matter? Environment and Development Economics, 15(5), 585–607. [CrossRef]

9. Duy, N. N., & Flaaten, O. (2016). Efficiency analysis of fisheries using stock proxies. Fisheries Research, 181, 102–113. [CrossRef]
10. Ekmekci, B., & Ünal, V. (2019). Analysis of the second generation buy-back program for fishing vessels in Turkey. Ege Journal of Fisheries and Aquatic Sciences, 36(3), 229–243. [Turkish] [CrossRef]
11. Esmaeili, A. (2006). Technical efficiency analysis for the Iranian fishery in the Persian Gulf. ICES Journal of Marine Science, 63(9), 1759–1764. [CrossRef]
12. FAO (2022). The State of World Fisheries and Aquaculture 2022. FAO. Towards Blue Transformation. https://doi.org/10.4060/cc0461en [CrossRef]
13. Fousekis, P., & Klonaris, S. (2003). Technical efficiency determinants for fisheries: A study of trammel netters in Greece. Fisheries Research, 63(1), 85–95. [CrossRef]
14. Göktay, S., Göncüoğlu Bodur, H., & Ünal, V. (2018). Analysis of the first buy-back program for fishing vessels in Turkey. Ege Journal of Fisheries and Aquatic Sciences, 35(4), 433–445. [Turkish] [CrossRef]
15. Jeftic, L., Sheavly, S. B., Adler, E., & Meith, N. (2009). Marine litter: A global challenge. Regional Seas, United Nations Environment Programme.
16. Jeon, Y., Omar, I. H., Kuperan, K., Squires, D., & Susilowati, I. (2006). Developing country fisheries and technical efficiency: The Java Sea purse seine fishery. Applied Economics, 38(13), 1541–1552. [CrossRef]
17. Kirkley, J., Squires, D., & Strand, I. E. (1995). Assessing technical efficiency in commercial fisheries: The mid‐Atlantic sea scallop fishery. American Journal of Agricultural Economics, 77(3), 686–697. [CrossRef]
18. Kompas, T., Che, T. N., & Grafton, R. Q. (2004). Technical efficiency effects of input controls: Evidence from Australia’s banana prawn fishery. Applied Economics, 36(15), 1631–1641. [CrossRef]
19. Kumbhakar, S. C., Parameter, C. F., Zelenyuk, V., Parmeter, C. F., & Zelenyuk, V. (2018). Stochastic Frontier Analysis: Foundations and Advances. In S. C. Ray, R. G. Chambers & S. C. Kumbhakar (Eds.), Handbook of production economics, Chapter 8 (pp. 331–370). Springer. [CrossRef]
20. Mardle, S., Pascoe, S., Boncoeur, J., Le Gallic, B., Garcı́a-Hoyo, J. J., Herrero, I., Jimenez-Toribio, R., Cortes, C., Padilla, N., Nielsen, J. R., & Mathiesen, C. (2002). Objectives of fisheries management: Case studies from the UK, France, Spain and Denmark. Marine Policy, 26(6), 415–428. [CrossRef]
21. Nævdal, E. (2022). Productivity and management of renewable resources: Why more efficient fishing fleets should fish less. Environmental and Resource Economics, 81(3), 409–424. [CrossRef]
22. Quijano, D., Salas, S., Monroy-García, C., & Velázquez-Abunader, I. (2018). Factors contributing to technical efficiency in a mixed fishery: Implications in buyback programs. Marine Policy, 94, 61–70. [CrossRef]
23. Resmi Gazete. (2020). 5/1 Numaralı Ticari Amaçlı Su Ürünleri Avcılığının Düzenlenmesi Hakkında Tebliğ (Tebliğ No: 2020/20). https://istanbul.tarimorman.gov.tr/Duyuru/199/5_1-Numarali-Ticari-Amacli-Su-Urunleri-Avciliginin-Duzenlenmesi-Hakkinda-Teblig-_no-2020_20_
24. Resmi Gazete. (2024). 6/1 Numaralı Ticari Amaçlı Su Ürünleri Avcılığının Düzenlenmesi Hakkında Tebliğ (Tebliğ No: 2024/20). https://www.resmigazete.gov.tr/eskiler/2024/08/20240811-3.htm
25. Srinivasan, U. T., Cheung, W. W. L., Watson, R., & Sumaila, U. R. (2010). Food security implications of global marine catch losses due to overfishing. Journal of Bioeconomics, 12(3), 183–200. [CrossRef]
26. Susilowati, I., Bartoo, N., Omar, I. H., Jeon, Y., Kuperan, K., Sqiures, D., & Vestergaard, N. (2005). Productive efficiency, property rights, and sustainable renewable resource development in the mini-purse seine fishery of the Java Sea. Environment and Development Economics, 10(6), 837–859. [CrossRef]
27. Troell, M., Naylor, R. L., Metian, M., Beveridge, M., Tyedmers, P. H., Folke, C., Arrow, K. J., Barrett, S., Crépin, A. S., Ehrlich, P. R., Gren, Å., Kautsky, N., Levin, S. A., Nyborg, K., Österblom, H., Polasky, S., Scheffer, M., Walker, B. H., Xepapadeas, T., & De Zeeuw, A. (2014). Does aquaculture add resilience to the global food system? Proceedings of the National Academy of Sciences of the United States of America 111(37), 13257–13263. [CrossRef]
28. TURKSTAT e-vam. Fishery Statistics Micro Data Set – (2015-2021) [Data set]. https://evam.tuik.gov.tr/dataset/detail/35
29. TURKSTAT MEDAS. Fisheries Statistics [Data set]. https://biruni.tuik.gov.tr/medas/?kn=97&locale=tr
30. Ulman, A., Bekişoǧlu, Ş., Zengin, M., Knudsen, S., Ünal, V., Mathews, C., Harper, S., Zeller, D., & Pauly, D. (2013). From bonito to anchovy: A reconstruction of Turkey’s marine fisheries catches (1950-2010). Mediterranean Marine Science, 14(2), 309–342. [CrossRef]
31. Ünal, V., & Göncüoglu Bodur, H. (2020a). Analysis of the third generation buy-back program for fishing vessels in Turkey. Ege Journal of Fisheries and Aquatic Sciences, 37(3), 251–258. [Turkish] [CrossRef]
32. Ünal, V., & Göncüoğlu Bodur, H. (2020b). Analysis of the Fourth Generation Buy-Back Program for Fishing Vessels in Turkey. Çanakkale Onsekiz Mart University Journal of Marine Sciences and Fisheries, 3(1), 38–44. [Turkish] [CrossRef]
33. Van Nguyen, Q., Pascoe, S., & Coglan, L. (2019). Implications of regional economic conditions on the distribution of technical efficiency: Examples from coastal trawl vessels in Vietnam. Marine Policy, 102, 51–60. [CrossRef]
34. Van Nguyen, Q., Pascoe, S., Coglan, L., & Nghiem, S. (2021). The sensitivity of efficiency scores to input and other choices in stochastic frontier analysis: An empirical investigation. Journal of Productivity Analysis, 55(1), 31–40. [CrossRef]
35. Van Nguyen, Q., & See, K. F. (2023). Application of the frontier approach in capture fisheries efficiency and productivity studies: A bibliometric analysis. Fisheries Research, 263, 106676. [CrossRef]
36. Viswanathan, K. K., Omar, I. H., Jeon, Y., Kirkley, J., Squires, D., & Susilowati, I. (2002). Fishing skill in developing country fisheries: The Kedah, Malaysia trawl fishery. Marine Resource Economics, 16(4), 293–314. [CrossRef]
37. Yang, C., Lou, X., Matsui, T., & Zhang, J. (2017). Evaluating the technical efficiencies of fishing vessels to achieve effective management of overexploited fisheries. Mitigation and Adaptation Strategies for Global Change, 22(8), 1149–1162. [CrossRef]
38. Zhang, J., & Smith, M. D. (2011). Estimation of a generalized fishery model: A two-stage approach. Review of Economics and Statistics, 93(2), 690–699. [CrossRef]