Fish Consumers’ Behavior Analysis in Ibadan Metropolis of Oyo state, Nigeria
محورهای موضوعی : Extension and Economic
1 - Department of Fisheries and Aquatic Resources Management, Osun State University, Osogbo, Nigeria
کلید واژه: Preference, choice, multinomial logit,
چکیده مقاله :
The awareness of consumers' choice of a product is an eye-opener to guide and develop a robust policy for such an industry. This study applied the descriptive statistics and Multinomial Logit (MNL) Model to analyse consumers' behaviour in fish products. Data for this study were collected from a primary source. Results indicated that consumers’ choice among alternative fish products was influenced by income and education level of consumers. About 38%, 31% and 31% of respondents choose frozen, fresh and smoked fish, respectively as their main preferred products. The mean income was N 29929.41(USD71.49) per month with a standard deviation of N 34517.08(USD82.45). The average amount spent per day on fish consumption was N 1269.97(USD3.03) while the amount spent per day on substitutes for fish was N 1958.824 (USD 4.68). Factors that significantly influenced the consumers’ behaviour for smoked fish were age, gender, marital status, household size, fish price per day, price of fish close substitute, health status and fish quality. It is recommended that these identified factors should be incorporated into policy formation by the stakeholders for the sustainable development of the fisheries industry.
چکیده انگلیسی:
منابع و مأخذ:
Abedi M and Hosseinzadeh A. R. (2013). Systematic approach in mining innovation system's problems, the Third International conference and the seventh National Conference on Management of Technology, Kish, Iran (In persian).
Adeli A, and Hassannejad M. (2020). Consumption Preferences of Fishery Products among the Young People of Iran (Case Study: Gorgan City). J Aquac Res Development 11: 599. DOI: 10.35248/2155-9546.20.11.599
Altintzoglou, T., and Heide, M. (2016). Fish Quality and Consumers: How Do Consumers’ Knowledge About and Involvement in Fish Quality Define Factors That Influence Fish Buying Behavior? Journal of Aquatic Food Product Technology, 25(6), 885–894. doi:10.1080/10498850.2014.964432
Ayanboye A.O and Oluwafemi Z. O. (2020). Determinants of choice of fish products consumption among the households in Ibarapa, Oyo State. Uniosun Journal of Agriculture and Renewable Resources Volume 4, pg. 27-38
Azabagaoglu, M., Abdikokoglu, O. D. I. and Unakitan, G. (2016). Consumer’s Fish Purchase Behaviour in Tekitdag. Journal of Tekirdag Agricultural Faculty, 13(04), 145-151.
Azeez F.A., Kabir G.B., Amoo M.A. and Nosiru M.O. (2021). Marketing, distribution and consumption of fish in Ido Local Government Area, Oyo State, Nigeria. Agro-Science, 20 (2), 68-73.
Bechthold, A. Boeing, H. Schwedhelm, C. Hoffmann, G. Knüppel, S. Iqbal, K. De Henauw, S. Michels, N. Devleesschauwer, B and Schlesinger, S. (2019). Food groups and risk of coronary heart disease, stroke and heart failure: A systematic review and dose-response meta-analysis of prospective studies. Crit. Rev. Food Sci. Nutr., 59, 1071–1090.
Burger, J. Stephens, W. L. Jr. Boring, C. S. Kuklinski, M., Gibbons, J. W. and Gochfeld, M. (1999). Factors in exposure assessment: ethnic and socioeconomic differences in fishing and consumption of fish caught along the Savannah River. Risk Analysis, 19(3), 427-438. HTTP:// dx.doi.org/10.1111/j.1539-6924.1999.tb00418.x. PMid:10765415
Can, M.F, Aytekin G, and Can H.Y. (2015). Fish consumption preferences and factors influencing it. Food Science and Technology, Campinas, 35(2): 339-346.
Cantillo, J., Martín, J.C. and Roman, C. (2021). Analysis of the main determinants of away-from-home consumption of fishery and aquaculture products in the EU28. Appetite 163 (2021) 105216. https://doi.org/10.1016/j.appet.2021.105216
(2020). The State of World Fisheries and Aquaculture 2020. Sustainability in action. Rome. https://doi.org/10.4060/ca9229en
Fregene, T.B and Olanusi A.S. (2012). Consumer preference and consumption pattern of marine fish species in Ibadan metropolis, Oyo state, Nigeria in Journal of Agricultural science and Technology, 2, 835-840.
Gary, L,L. Arvind R. and Arnaud, D. B. (2007). Choice Modeling: Marketing Engineering Technical Note. Decision Pro line. http://www.Decisionpro.Biz.Tech-Notes/TNO3%20-
George, K. D. Miriam, O., Nguyen, D. L. and Ganesha, M. (2017). Households’ Willingness to Pay for Fish Product Attributes and Implications for Market Feasibility of Wastewater-Based Aquaculture businesses in Hanoi, Vietnam. Resource, 6, 30. DOI: http://doi.10.3390/resources6030030
Hicks, D. Pivarnik, L. and McDermott, R. (2008). Consumer perceptions about seafood –an internet survey. Journal of Foodservice, 19(4), 213-226. http://dx.doi.org/10.1111/j.1748-0159.2008.00107.x.
Hosmer, D. W., Lemeshow, S, and Sturdıvant, R. (2013). Applied logistic regression. Canada: Wiley & Sons Publication.
Imre, F. and Gábor G.S. (2002). Choice of Supply Channels in Hungarian Fruit and Vegetable Sector. Paper for Presentation to the American Agric. Econ. Association. Annual Meeting, Long Beach, California.
Ibsen, D.B. Steur, M and Imamura, F. (2020). Replacement of Red and Processed Meat With Other Food Sources of Protein and the Risk of Type 2 Diabetes in European Populations: The EPIC-InterAct Study. Diabetes Care, 43, 2660–2667.
Jimoh W.A, Popoola M.A, Ibrahim G.A, Ayeloja A.A, Ayanwale A.O.S and Akinosho G.A.(2013). Evaluation of consumers’ preference for fresh and frozen fish products in Ibadan Metropolis Nigeria. Patnaik Journal, 9: 13-20.
Johnson, S.B., Mafimisebi, O.E., Ikuerowo, J.O. and Ijigbade, J.O. (2020). Determinants of consumers’ choice behaviour for fresh fish types. Jurnal Perspektif Pembiayaan dan Pembangunan Daerah, 8(3): 245 – 256.
Kotler, P. Armstrong, G. Harris, L.C. and Piercy, N. (2007). Principles of Marketing; Pearson: Harlow, UK.
Larsson, S.C. and Orsini, N. (2014). Red Meat and Processed Meat Consumption and All-Cause Mortality: A Meta-Analysis. Am. J. Epidemiol, 179, 282–289.
Louis, T.J., Pedroza Filho, M.X. and Flores, R.M.V. (2022). Consumption frequencies, determinants, and habits of aquaculture species in Brazil. Aquacult Int 30, 919–936 (2022). https://doi.org/10.1007/s10499-022-00838-2
Mcfadden, D. (1981). Econometric Models of Probabilistic Choice. In C. F. Manskiand Mcfadden (Edns.), Structural Analysis of Discrete Data (Pp.198-272), MA: MIT Press, Cambridge, UK.
Menozzi, D., Nguyen, T. T., Sogari, G., Taskov, D., Lucas, S., Castro-Rial, J. L. S., & Mora, C. (2020). Consumers’ Preferences and Willingness to Pay for Fish Products with Health and Environmental Labels: Evidence from Five European Countries. Nutrients, 12(9), 2650. doi:10.3390/nu12092650
Myrland O. Trondsen T. Johnston R. S. and Lund E. (2000). Determinants of seafood consumption in Norway: lifestyle, revealed preferences, and barriers to consumption. Food Quality and Preference 11, 169-188
Oladimeji, Y.U., Galadima, S.A., Hassan, A.A., Sanni, A.A., Abdulrahman, S., Egwuma, H., Ojeleye, A.O. and Yakubu, A. (2019). Risk Analysis in Fish Farming Systems in Oyo and Kwara States, Nigeria: A Prospect Towards Improving Fish Production. Animal Research International, 16(1): 3226 – 3237.
Pieniak Z. Verbeke W. Scholderer J. Brunso K. and Olsen S. O. (2008). Impact of consumers’ health beliefs, health involvement and risk perception on fish consumption: A study in five European countries. British Food Journal 110 (9), 898 – 915
Pieniak, Z. Verbeke, W. and Scholderer, J. (2010). Health‐related beliefs and consumer knowledge as determinants of fish consumption. Journal of Human Nutrition and Dietetics, 23(5), 480-488.
Prabhu J. J. (2020). A Study and Analysis of Consumer Behavior and Factor Influencing in Marketing. International Research Journal of Modernization in Engineering Technology and Science, 2(4): 68-76.
Qazzafi, S. (2019). Consumer Buying Decision Process Toward Products. Int. J. Sci. Res. Eng. Dev., 2, 130–134. 11.
Qiujie, Z. 1, H. Holly, W. and Yonggang. L. (2018). Consumer Purchase Intentions for Sustainable Wild Salmon in the Chinese Market and Implications for Agribusiness Decisions. Sustainability 10(5), 1-16.
Rahman, M.N, Reza, A.M. and Islam, T.M. (2020). Consumer fish consumption preferences and contributing factors: empirical evidence from Rangpur city corporation, Bangladesh. Heliyon, 6(12), e05864. doi:10.1016/j.heliyon.2020.e05864
Rahman, M.S., Islam, A.R.M.T. (2019). Are precipitation concentration and intensity changing in Bangladesh overtimes? Analysis of the possible causes of changes in precipitation systems. Sci. Total Environ. 690, 370–387.
Ratliff, E., Vassalos, M., and Hu, W. (2018). What Factors Influence Consumer Preferences for Search and Credence Seafood Characteristics? an Empirical Analysis in Kentucky and South Carolina. Journal of Agricultural & Food Industrial Organization, 0(0). doi:10.1515/jafio-2018-0012, 10.1515/jafio-2018-0012. downloaded on 2019-02-17
Ratliff, E. A. (2017). Factors Influencing Consumer Preferences for Tangible and Intangible Seafood Characteristics and Community Supported Fishery Marketing Outlets, All Theses 2772. Available at: http://tigerprints.clemson.edu/alltheses/2772.
Rock, C.L. Thomson, C. Gansler, T. Gapstur, S.M. McCullough, M.L. Patel, A.V. Bandrews, K.S. Bandera, E.V. Spees, C.K. and Robien, K. (2020). American Cancer Society guideline for diet and physical activity for cancer prevention. CA A Cancer J. Clin., 70, 245–271.
Rouhani, M.H. Salehi-Abargouei, A. Surkan, P.J and Azadbakht, L.J.O.R. (2014). Is there a relationship between red or processed meat intake and obesity? A systematic review and meta-analysis of observational studies. Obes. Rev., 15, 740–748.
Selim, A.H., Burhan O. and Ali, R.A. (2003). Factors Affecting Fluid Milk Purchasing Sources in Turkey, Food Quality and Preference, 15 (2004) 509–515.
Theophilus, M. G. (2021). Determinants of Frozen Fish Consumption by Households in Delta State, Nigeria. International Journal of Agricultural Science, Research and Technology in Extension and Education Systems (IJASRT in EESs). 11(1),33-40.
Trondsen, T. Braaten, T. Lund, E. and Eggen, A.E. (2004). Health and fishery products consumption patterns among women aged 45-69 years. A Norwegian fishery products consumption study. Food Quality and Preference, 15(2), 117-128
Uddin, M.T., Rasel, M.H., Dhar, A.R., Badiuzzaman, M., Hoque, M.S., 2019. Factors determining consumer preferences for Pangas and Tilapia fish in Bangladesh: consumers’ perception and consumption habit perspective. J. Aquat. Food Prod. Technol, 28 (4), 438–449.
Uzundumlu A.S, (2017). Determining fish consumption behaviour among households and the most suitable type of fish in Erzurum Province. IJFS, 16 (2), 684-697.
Uzundumlu A. Determining fish consumption behaviour among households and the most suitable type of fish in Erzurum Province.
Verbeke, W., Vackier, I., 2005. Individual determinants of fish consumption: application of the theory of planned behaviour. Appetite 44 (1), 67–82.
Wake, A.A. and Geleto, T.C. (2019). Socio-economic importance of fish production and consumption status in Ethiopia: A review. International Journal of Fisheries and Aquatic Studies, 7(4), 206-211.
Washıngton, S., Karlaftıs, M., Mannering, F. (2003). Statistical and econometric models for transportation data analysis. Boca Raton FL.:CRC Press.
Zhou, G., Hu, W. and Huang, W. (2016). Are Consumers Willing to Pay More for Sustainable Products? A Study of Eco-Labeled Tuna Steak. Sustainability, 8 (5), 49.
