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Türkiye Balıkçılık Sektöründe Üretim ve Sürdürülebilirlik İlişkisi: Ekonomik Değişkenlerin Rolü

Year 2025, Volume: 8 Issue: 1, 23 - 31, 14.07.2025
https://doi.org/10.46384/jmsf.1607101

Abstract

Bu çalışma, sürdürülebilir kalkınma stratejilerine vurgu yaparak, Türkiye'nin balıkçılık sektöründeki üretim süreçleri üzerinde temel ekonomik değişkenlerin etkisini araştırmaktadır. Türkiye İstatistik Kurumu'ndan alınan 2003-2023 yılları arasındaki yıllık verileri kapsayan araştırma, sermaye yatırımlarının, işçilik maliyetlerinin ve enerji giderlerinin toplam üretim üzerindeki uzun vadeli ve kısa vadeli etkilerini incelemek için ARDL modelini kullanmaktadır. Sonuçlar, sermaye yatırımlarının üretkenliği önemli ölçüde artırdığını, ancak yanlış tahsisin verimliliği olumsuz etkileyebileceğini göstermektedir. İşgücü ve enerji maliyetleri olumsuz bir etki göstererek, sektörel sürdürülebilirlik için maliyet optimizasyonunun önemini vurgulamaktadır. Bu bulgulara dayanarak, mevcut çalışma; verimli sermaye tahsisi, eğitim programları aracılığıyla işgücü maliyeti optimizasyonu ve operasyonel giderleri azaltmak için yenilenebilir enerji kaynaklarının benimsenmesi gibi stratejik politika önerileri sunmaktadır. Bu öneriler, Türkiye balıkçılık sektöründe sürdürülebilir büyümeyi desteklemeyi, gıda güvenliğini artırmayı ve ekonomik dayanıklılığı güçlendirmeyi amaçlamaktadır.

References

  • Bilgin, B. (2012). Avrupa Birliği'ne uyum sürecinde Türkiye’de orkinos (Thunnus thynnus) yetiştiriciliği sektörünün sosyo-ekonomik analizi. Doktora Tezi, Ankara Üniversitesi Fen Bilimleri Enstitüsü.
  • Blanchard, J. L., Jennings, S., Holmes, R., Harle, J., Merino, G., Allen, J. I., Holt, J., Dulvy, N. K., & Barange, M. (2012). Potential consequences of climate change for primary production and fish production in large marine ecosystems. Philosophical Transactions of the Royal Society B: Biological Sciences, 367(1605), 2979–2989. https://doi.org/10.1098/rstb.2012.0231
  • Bostock, J., Lane, A., Hough, C., & Yamamoto, K. (2016). An overview of the European aquaculture sector: Current status, economic and policy outlook. Aquaculture International, 24(4), 757–772. https://doi.org/10.1007/s10499-016-9992-1
  • Breusch, T. S. (1978). Testing for autocorrelation in dynamic linear models. Australian Economic Papers, 17(31), 334-355.
  • Breusch, T. S., & Pagan, A. R. (1979). A simple test for heteroscedasticity and random coefficient variation. Econometrica, 47(5), 1287-1294.
  • Brown, R. L., Durbin, J., & Evans, J. M. (1975). Techniques for testing the constancy of regression relationships over time. Journal of the Royal Statistical Society: Series B (Methodological), 37(2), 149-163.
  • Carneiro, R., James, C., Aung, T., & O’Keefe, S. (2022). Challenges for flavoring fish products from cellular agriculture. Current Opinion in Food Science, 47, 100902. https://doi.org/10.1016/j.cofs.2022.100902
  • Cashion, T., Hornborg, S., Ziegler, F., Hognes, E. S., & Tyedmers, P. (2017). Global reduction fisheries and their products in the context of sustainable limits. Fish and Fisheries, 18(6), 1025–1037. https://doi.org/10.1111/faf.12222
  • Cochrane, K. (2001). Reconciling sustainability, economic efficiency, and equity in fisheries: The one that got away? Fish and Fisheries, 2(3), 231-254.
  • Creighton, A. (2015). Sustainability in small-scale fisheries: Challenges and opportunities. Marine Policy, 56, 94–102. https://doi.org/10.1016/j.marpol.2015.02.010
  • Creighton, C., Boon, P. I., Brookes, J. D., & Sheaves, M. (2015). Repairing Australia’s estuaries for improved fisheries production – what benefits, at what cost? Marine and Freshwater Research, 66(6), 493-507. https://doi.org/10.1071/MF14041
  • Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366a), 427-431.
  • Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251-276.
  • Erkayral, İ. E., & Aksoy, L. (2022). Enerji maliyetlerinin balıkçılık sektörü üzerindeki etkileri: Türkiye örneği. Türk Tarım ve Orman Dergisi, 28(3), 245–262.
  • Food and Agriculture Organization (FAO). (2022). The state of world fisheries and aquaculture 2016: Contributing to food security and nutrition for all. FAO. https://www.fao.org/publications
  • Godfrey, L. G. (1978). Testing for higher order serial correlation in regression equations when the regressors include lagged dependent variables. Econometrica, 46(6), 1303-1310.
  • Jacobsen, N. S., Burgess, M. G., & Andersen, K. H. (2016). Efficiency of fisheries is increasing at the ecosystem level. Fish and Fisheries, 17(4), 860-875.
  • Jacobsen, R. B. (2016). Policy development in sustainable fisheries: Lessons from comparative studies. Environmental Policy and Governance, 26(5), 387–400. https://doi.org/10.1002/eet.1718
  • Mobsby, D., Steven, A. H., & Curtotti, R. (2020). Australian fisheries and aquaculture outlook 2020. Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES), Canberra. https://doi.org/10.25814/5e4377eb3eea2
  • Mobsby, D., Curtotti, R., & Hormis, M. (2020). Economic trends in the aquaculture and fisheries sector: A focus on energy efficiency. Australian Bureau of Agricultural and Resource Economics and Sciences Report.
  • Muhamad, M., Ghazali, P. L., Fauzi, S. N. M., Zain, E. N. M., Foziah, N. H. M., Noor, N. S. M., & Nawi, F. A. M. (2024). A review paper on production efficiency factors for the small-scale fisheries entrepreneur in fishery industry. International Journal of Academic Research in Business and Social Sciences, 14(7), 489–496. https://doi.org/10.6007/IJARBSS/v14-i7/21844
  • Oyakhilomen, O., & Zibah, R. G. (2020). Fishery production and economic growth in Nigeria: Pathway to sustainable development. Marine Policy, 39(2), 147-155.
  • Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346.
  • Pierce, G. J., Valavanis, V. D., Guerra, A., Jereb, P., Orsi-Relini, L., Bellido, J. M., & Katara, I. (2012). A review of cephalopod–environment interactions and their relevance to fisheries management. Fisheries Research, 114, 7–22. https://doi.org/10.1016/j.fishres.2011.10.002
  • Ramsey, J. B. (1969). Tests for specification errors in classical linear least squares regression analysis. Journal of the Royal Statistical Society: Series B (Methodological), 31(2), 350-371.
  • Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289-326.
  • Pesaran, M. H., & Shin, Y. (1999). An autoregressive distributed lag modelling approach to cointegration analysis. In S. Strom (Ed.), Econometrics and Economic Theory in the 20th Century: The Ragnar Frisch Centennial Symposium (pp. 371-413). Cambridge University Press.
  • Suresh, A., & Parappurathu, S. (2018). Capital formation in fisheries sector in India: Trends, compositional changes and potential implications for sustainable development. Agricultural Economics Research Review, 31(Conference Number), 111–122. https://doi.org/10.5958/0974-0279.2018.00027.7
  • Tarım ve Orman Bakanlığı. (2020). Türkiye balıkçılık sektörü raporu. Ankara: Tarım ve Orman Bakanlığı Yayınları. Topçu, B. B. (2012). Türkiye’de orkinos (Thunnus thynnus) yetiştiriciliği sektörünün sosyo-ekonomik analizi. Yüksek Lisans Tezi, Ankara Üniversitesi Fen Bilimleri Enstitüsü.
  • Turkish Statistical Institute. Retrieved from: https://biruni.tuik.gov.tr/medas/?locale=tr. Accessed date: [22.10.2024]

Production and Sustainability in Türkiye's Fisheries Sector: The Role of Economic Variables

Year 2025, Volume: 8 Issue: 1, 23 - 31, 14.07.2025
https://doi.org/10.46384/jmsf.1607101

Abstract

This study investigates the impact of basic economic variables on production processes in Türkiye's fisheries sector, emphasizing sustainable development strategies. Using a dataset from the Turkish Statistical Institute covering annual data from 2003 to 2023, the research employs the ARDL model to examine the long-term and short-term effects of capital investments, labor costs, and energy expenses on total production. Results indicate that capital investments significantly enhance productivity, though misallocation can negatively impact efficiency. Labor and energy costs exhibit a negative effect, underlining the importance of cost optimization for sectoral sustainability. Based on these findings, the current study proposes strategic policy recommendations such as; efficient capital allocation, labor cost optimization through training programs, and the adoption of renewable energy sources to reduce operational expenses. These recommendations aim to support sustainable growth in the Turkish fisheries sector, enhance food security, and bolster economic resilience.

References

  • Bilgin, B. (2012). Avrupa Birliği'ne uyum sürecinde Türkiye’de orkinos (Thunnus thynnus) yetiştiriciliği sektörünün sosyo-ekonomik analizi. Doktora Tezi, Ankara Üniversitesi Fen Bilimleri Enstitüsü.
  • Blanchard, J. L., Jennings, S., Holmes, R., Harle, J., Merino, G., Allen, J. I., Holt, J., Dulvy, N. K., & Barange, M. (2012). Potential consequences of climate change for primary production and fish production in large marine ecosystems. Philosophical Transactions of the Royal Society B: Biological Sciences, 367(1605), 2979–2989. https://doi.org/10.1098/rstb.2012.0231
  • Bostock, J., Lane, A., Hough, C., & Yamamoto, K. (2016). An overview of the European aquaculture sector: Current status, economic and policy outlook. Aquaculture International, 24(4), 757–772. https://doi.org/10.1007/s10499-016-9992-1
  • Breusch, T. S. (1978). Testing for autocorrelation in dynamic linear models. Australian Economic Papers, 17(31), 334-355.
  • Breusch, T. S., & Pagan, A. R. (1979). A simple test for heteroscedasticity and random coefficient variation. Econometrica, 47(5), 1287-1294.
  • Brown, R. L., Durbin, J., & Evans, J. M. (1975). Techniques for testing the constancy of regression relationships over time. Journal of the Royal Statistical Society: Series B (Methodological), 37(2), 149-163.
  • Carneiro, R., James, C., Aung, T., & O’Keefe, S. (2022). Challenges for flavoring fish products from cellular agriculture. Current Opinion in Food Science, 47, 100902. https://doi.org/10.1016/j.cofs.2022.100902
  • Cashion, T., Hornborg, S., Ziegler, F., Hognes, E. S., & Tyedmers, P. (2017). Global reduction fisheries and their products in the context of sustainable limits. Fish and Fisheries, 18(6), 1025–1037. https://doi.org/10.1111/faf.12222
  • Cochrane, K. (2001). Reconciling sustainability, economic efficiency, and equity in fisheries: The one that got away? Fish and Fisheries, 2(3), 231-254.
  • Creighton, A. (2015). Sustainability in small-scale fisheries: Challenges and opportunities. Marine Policy, 56, 94–102. https://doi.org/10.1016/j.marpol.2015.02.010
  • Creighton, C., Boon, P. I., Brookes, J. D., & Sheaves, M. (2015). Repairing Australia’s estuaries for improved fisheries production – what benefits, at what cost? Marine and Freshwater Research, 66(6), 493-507. https://doi.org/10.1071/MF14041
  • Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366a), 427-431.
  • Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251-276.
  • Erkayral, İ. E., & Aksoy, L. (2022). Enerji maliyetlerinin balıkçılık sektörü üzerindeki etkileri: Türkiye örneği. Türk Tarım ve Orman Dergisi, 28(3), 245–262.
  • Food and Agriculture Organization (FAO). (2022). The state of world fisheries and aquaculture 2016: Contributing to food security and nutrition for all. FAO. https://www.fao.org/publications
  • Godfrey, L. G. (1978). Testing for higher order serial correlation in regression equations when the regressors include lagged dependent variables. Econometrica, 46(6), 1303-1310.
  • Jacobsen, N. S., Burgess, M. G., & Andersen, K. H. (2016). Efficiency of fisheries is increasing at the ecosystem level. Fish and Fisheries, 17(4), 860-875.
  • Jacobsen, R. B. (2016). Policy development in sustainable fisheries: Lessons from comparative studies. Environmental Policy and Governance, 26(5), 387–400. https://doi.org/10.1002/eet.1718
  • Mobsby, D., Steven, A. H., & Curtotti, R. (2020). Australian fisheries and aquaculture outlook 2020. Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES), Canberra. https://doi.org/10.25814/5e4377eb3eea2
  • Mobsby, D., Curtotti, R., & Hormis, M. (2020). Economic trends in the aquaculture and fisheries sector: A focus on energy efficiency. Australian Bureau of Agricultural and Resource Economics and Sciences Report.
  • Muhamad, M., Ghazali, P. L., Fauzi, S. N. M., Zain, E. N. M., Foziah, N. H. M., Noor, N. S. M., & Nawi, F. A. M. (2024). A review paper on production efficiency factors for the small-scale fisheries entrepreneur in fishery industry. International Journal of Academic Research in Business and Social Sciences, 14(7), 489–496. https://doi.org/10.6007/IJARBSS/v14-i7/21844
  • Oyakhilomen, O., & Zibah, R. G. (2020). Fishery production and economic growth in Nigeria: Pathway to sustainable development. Marine Policy, 39(2), 147-155.
  • Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346.
  • Pierce, G. J., Valavanis, V. D., Guerra, A., Jereb, P., Orsi-Relini, L., Bellido, J. M., & Katara, I. (2012). A review of cephalopod–environment interactions and their relevance to fisheries management. Fisheries Research, 114, 7–22. https://doi.org/10.1016/j.fishres.2011.10.002
  • Ramsey, J. B. (1969). Tests for specification errors in classical linear least squares regression analysis. Journal of the Royal Statistical Society: Series B (Methodological), 31(2), 350-371.
  • Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289-326.
  • Pesaran, M. H., & Shin, Y. (1999). An autoregressive distributed lag modelling approach to cointegration analysis. In S. Strom (Ed.), Econometrics and Economic Theory in the 20th Century: The Ragnar Frisch Centennial Symposium (pp. 371-413). Cambridge University Press.
  • Suresh, A., & Parappurathu, S. (2018). Capital formation in fisheries sector in India: Trends, compositional changes and potential implications for sustainable development. Agricultural Economics Research Review, 31(Conference Number), 111–122. https://doi.org/10.5958/0974-0279.2018.00027.7
  • Tarım ve Orman Bakanlığı. (2020). Türkiye balıkçılık sektörü raporu. Ankara: Tarım ve Orman Bakanlığı Yayınları. Topçu, B. B. (2012). Türkiye’de orkinos (Thunnus thynnus) yetiştiriciliği sektörünün sosyo-ekonomik analizi. Yüksek Lisans Tezi, Ankara Üniversitesi Fen Bilimleri Enstitüsü.
  • Turkish Statistical Institute. Retrieved from: https://biruni.tuik.gov.tr/medas/?locale=tr. Accessed date: [22.10.2024]
There are 30 citations in total.

Details

Primary Language English
Subjects Fisheries Management
Journal Section Research Articles
Authors

Serkan Şengül 0000-0001-9891-9477

Publication Date July 14, 2025
Submission Date December 25, 2024
Acceptance Date March 24, 2025
Published in Issue Year 2025 Volume: 8 Issue: 1

Cite

APA Şengül, S. (2025). Production and Sustainability in Türkiye’s Fisheries Sector: The Role of Economic Variables. Çanakkale Onsekiz Mart University Journal of Marine Sciences and Fisheries, 8(1), 23-31. https://doi.org/10.46384/jmsf.1607101