The Influence of Socioeconomic Factors on Postharvest Losses of Fish in Small-scale Fisheries in East Java Province

Balqis Salma Amelia; Dyah Wulan Sari

doi:10.30736/grouper.v16i1.303

Authors

Balqis Salma Amelia Department of Economics, Faculty of Economics and Business, Universitas Airlangga
Dyah Wulan Sari Department of Economics, Faculty of Economics and Business, Universitas Airlangga

DOI:

https://doi.org/10.30736/grouper.v16i1.303

Keywords:

post-harvest fish losses, small-scale fisheries, fisheries management, food security

Abstract

This study aims to analyze the influence of environment, experience, education, temperature, work hour, age, fishermen group, access internet, and government aid on post-harvest fish losses. The sample of this study was taken from Banyuwangi district consisting of Muncar and Blimbingsari sub-districts, and Lamongan district consisting of Paciran and Lamongan sub-districts. This study uses a quantitative approach and regression estimation using Ordinary Least Square (OLS), to see the influence between the independent variables on the dependent variables in the study. The results of this study show that the variables of environment, education, experience, and fishermen group have a significant influence on post-harvest fish loss. In addition, the highest post-harvest fish loss (PHFL) was found in Blimbingsari sub-district, Banyuwangi district. Another location with a high PHFL value was Muncar sub-district. In contrast, Paciran and Brondong sub-districts in Lamongan district had lower PHFL values. The findings have managerial and academic implications. For policy makers and fisheries organizations, the results of this study highlight the need to increase access to efficient storage technologies and provide training to improve fishers' skills in post-harvest handling. Academically, this study contributes to the fisheries economics literature by offering empirical evidence on the key factors affecting PHFL in small-scale fisheries. There are still gaps in integrated empirical studies and in policies that address human resources and institutional support. Therefore, this study provides important insights for designing more holistic and targeted strategies to reduce PHFL in East Java.

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References

Abelti, A. L., & Teka, T. A. (2024). Intervening fish post‐harvest losses to narrow the gap between demand and supply: A review on magnitude of fish post‐harvest losses in some Sub‐Saharan African countries. Aquaculture, Fish and Fisheries, 4(2), 1–15. https://doi.org/10.1002/aff2.168
Acharjee, D. C., Hossain, M. I., & Alam, G. M. M. (2021). Post-harvest fish loss in the fish value chain and the determinants: empirical evidence from Bangladesh. Aquaculture International, 29(4), 1711–1720. https://doi.org/10.1007/s10499-021-00711-8
Adelaja, O. A., Kamaruddin, R. B., & Chiat, L. W. (2018). Assessment of post-harvest fish losses Croaker Pseudotolithus elongatus, (Bowdich, 1825), Catfish Arius heudeloti, (Valenciennes, 1840) and Shrimp Nematopalaemon hastatus (Aurivillius, 1898) in Ondo State, Nigeria. Aquaculture and Fisheries, 3(5), 209–216. https://doi.org/10.1016/j.aaf.2018.05.002
Akande, G., & Diei-Ouadi, Y. (2010). Post-harvest losses in small-scale fisheries: case studies in five sub-Saharan African countries. In FAO Fisheries and Aquaculture Technical Paper. No. 550. Rome, FAO.
Assefa, A., Abunna, F., Biset, W., & Leta, S. (2018). Assessment of post-harvest fish losses in two selected lakes of Amhara Region, Northern Ethiopia. Heliyon, 4(11), e00949. https://doi.org/10.1016/j.heliyon.2018.e00949
Central Bureau of Statistics of East Java Province. (2023). Fisheries Statistics of East Java Province 2021-2022. In Central Bureau of Statistics of East Java Province (Vol. 11, Issue 1). http://scioteca.caf.com/bitstream/handle/123456789/1091/RED2017-Eng-8ene.pdf?sequence=12&isAllowed=y%0Ahttp://dx.doi.org/10.1016/j.regsciurbeco.2008.06.005%0Ahttps://www.researchgate.net/publication/305320484_sistem_pembentukan_terpusat_strategi_melestari
Cole, S. M., Kaminski, A. M., McDougall, C., Kefi, A. S., Marinda, P. A., Maliko, M., & Mtonga, J. (2020). Gender accommodative versus transformative approaches: a comparative assessment within a post-harvest fish loss reduction intervention. Gender, Technology and Development, 24(1), 48–65. https://doi.org/10.1080/09718524.2020.1729480
Dyah Wulan Sari, Wahyu Wisnu Wardana, S. T., & Islamiyya, Wenny Restikasari, H. A. T. (2023). Post-Harvest Dynamics of the Fisheries Sector.
FAO, F. (2017). Case Studies on Fish Loss Assessment of Small-Scale Fisheries in Indonesia (Vol. 1129).
Fisheries, M. of M. A. and F. (2019). Regulation of The Minister of Marine and Fisheries. Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 224(11), 122–130.
Greene, W. H. (2018). Econometric Analysis. In Pearson. New York University. https://doi.org/10.1002/9781119363194.ch9
Gujarati, D. N., & Porter, D. C. (2009). Essentials of Econometric.
Gujarati, D. N., & Porter, D. C. (2013). Basic Econometrics. In Introductory Econometrics: A Practical Approach.
Gyan, W. R., Alhassan, E. H., Asase, A., Akongyuure, D. N., & Qi-Hui, Y. (2020). Assessment of postharvest fish losses: The case study of Albert Bosomtwi-Sam fishing harbour, Western Region, Ghana. Marine Policy, 120. https://doi.org/10.1016/j.marpol.2020.104120
Hunter, P. (2016). Margin of Error and Confidence Levels Made Simple. ISixSigma, 1–4.
Kaminski, A. M., Cole, S. M., Al Haddad, R. E., Kefi, A. S., Chilala, A. D., Chisule, G., Mukuka, K. N., Longley, C., Teoh, S. J., & Ward, A. R. (2020). Fish losses for whom? A gendered assessment of post-harvest losses in the barotse floodplain fishery, Zambia. Sustainability (Switzerland), 12(23), 1–20. https://doi.org/10.3390/su122310091
Liu, J., Han, Z., Liu, Y., & William, S. (2023). Trust in Government, Perceived Integrity and Food Safety Protective Behavior: The Mediating Role of Risk Perception. International Journal of Public Health, 68(March), 1–9. https://doi.org/10.3389/ijph.2023.1605432
Mavuru, A., Mhlanga, L., & Nhiwatiwa, T. (2022). An assessment of Post-Harvest Fish Losses (PHFLs) in the artisanal fishery of Lake Kariba, Zimbabwe. Scientific African, 16, e01124. https://doi.org/10.1016/j.sciaf.2022.e01124
Mramba, R. P., & Mkude, K. E. (2022). Determinants of fish catch and post-harvest fish spoilage in small-scale marine fisheries in the Bagamoyo district, Tanzania. Heliyon, 8(6), e09574. https://doi.org/10.1016/j.heliyon.2022.e09574
PS, K., Gopan, S., Rajabudeen, R., Fathima, R., Shibu, K., R, N., Udayan, P., Elvis, T., T, G., NH, A. Das, K, D., MP, S., & GB, S. (2022). Post-harvest losses in the fisheries sector-facts, figures, challenges and strategies. International Journal of Fisheries and Aquatic Studies, 10(4), 101–108. https://doi.org/10.22271/fish.2022.v10.i4b.2691
Sari, D. W., Islamiya, H. A. T., Sylviana, W., Fawait, M., Amelia, B. S., Hidayanti, I., & Salimah Alias, N. (2024). The behavior of fishermen in handling post-harvest fish and its quality in East Java province. Aquaculture and Fisheries, July. https://doi.org/10.1016/j.aaf.2024.08.003
Tesfay, S., & Teferi, M. (2017). Assessment of fish post-harvest losses in Tekeze dam and Lake Hashenge fishery associations: Northern Ethiopia. Agriculture and Food Security, 6(1), 1–12. https://doi.org/10.1186/s40066-016-0081-5
Torell, E. C., Jamu, D. M., Kanyerere, G. Z., Chiwaula, L., Nagoli, J., Kambewa, P., Brooks, A., & Freeman, P. (2020). Assessing the economic impacts of post-harvest fisheries losses in Malawi. World Development Perspectives, 19(June 2019), 100224. https://doi.org/10.1016/j.wdp.2020.100224
Ward & Jefries. (2000). A Manual for Assessing Post-Harvest Fisheries Losses. Natural Resources Institute, 140.