A study on determining attitudes and behaviors of individuals towards local products in Manisa Province: The case of Mesir Paste

Abstract

Some of the local products are region specific and the region is remembered with them. There are also local products with a long past which are not only known in their environs but also famous in other places. Mesir paste, which is one of these products, is traditional food produced by mixing a lot of spices and herbs. With this sense, this study aims to investigate the preferences (packaging, product range demand, quality, hygiene, etc.) of the individuals living in the area since they are significant in determining the attitudes and behaviors towards local products. The study covers some suggestions by determining the attitudes and behaviors of individuals and their desires and expectations so that local products can be protected and be sustainable. First, the knowledge, attitudes and behaviors of individuals in purchasing mesir paste were analyzed using 5-point Likert scale with 13 variables and the variables were collected under a factor with the help of factor analysis. The factor loads listed under a factor as a result of factor analysis were analyzed as one of the independent variables affecting the awareness level of the individuals about the local product. In the research, Binary Logit model was used to determine the factors affecting the local product preferences of the individuals. The awareness level about local products decreased as the age increased, and this may have stemmed from the fact that young people preferred mesir paste more. The packaging of the product in question was also one of the possible influential variables on awareness level. The packaging, which is also valued by manufacturers, as revealed by the study as well, has a positive influence on individuals, and it is a variable that is important in preferring a product.

Keywords

• Local product,behavior,knowledge,factor analysis,Mesir Paste

References

1. Akgul, A. and Cevik, O. (2005). Statistical Analysis Techniques. Emek Offset Ltd. Sti. 2nd Edition. P. 428. Ankara.
2. Akkus, Z. and Celik, M.Y. (2004). Significant in logistic regression and discriminant analysis. II. National Biostatistics Congress NDA submitted papers. Mersin Uni- versity, School of Medicine, Department of Biostatistics, Mersin (September- October).
3. Amemiya, T. (1983). Advanced Econometrics. Cambridge. MA. Harvard University.
4. Anonim, (2014). Manisa İli yerli ve yabancı turist sayıları toplamı, Manisa İl Kültür Turizm Müdürlüğü verileri
5. Armagan, G. and Akbay, C. (2007). An econometric analysis of urban households' animal products consumption in Turkey. Applied Economics. 1-8.
6. Berenson, M.L. and Levine, D.M. (1996). Basic Business statistics concepts and appli- cations. sixth ed.. p. 837. Prenticehall international. New York.
7. Cankurt, M., Miran, B. and Sahin, A. (2010). Determining of the Effective Factors on Cattle Meat Preferences: the Case of Izmir. Animal Production 51: 16-22.
8. Dolekoglu, C. and Yurdakul, O. (2004). Determination Of Affecting Factors And Nu- trition Level By Logit Analysis In The Household Of Adana Province. Mediter- ranean Journal of Economics and Administrative Sciences of Faculty, 8: 62–86.

9. Field, A., (2000). Discovering Statistics Using SPSS for Windows. London: SAGE Pub- lication.
10. Gempesaw, II.C.M., Bacon, J.R., Wessells, C.R. and Manalo, A. (1995). Consumer per- ceptions of aquaculture products. American Journal of Agricultural Economics. 77: 1306-1312.
11. Greene, W.H. (2011). Econometric Analysis. Seventh Edition. Prentice Hall. ISBN-10: 0131395386. New Jersey.
12. Grimm, L.G. and Yarnold, P.R. (1995). Reading and understanding multivariate sta- tistics. Washington D.C.: American Psychological Association.
13. Gujarati, N.D. (2001). Essential of Econometrics, Mc Graw Hill, New York. (Trans- late: Senesen, U., Senesen, G.G.), Literatür Publication No:33,Istanbul.
14. Hatirli, S.A., Demircan, V. and Aktas, A.R. (2004). Analysis of Fish Consumption of Family in Isparta. Süleyman Demirel University Faculty of Economics and Ad- ministrative Sciences, 9: 245-256.
15. Kalaycı, S. (2010). SPSS Applied Multivariate Statistical Techniques. BRC Printing, Ankara.
16. Karaman, S., Kesler, Y., Kayacier, A. and Dogan, M. (2008). Mesir Macununun Re- olojik Özelliklerinin Belirlenmesi, Türkiye 10. Gıda Kongresi; 21-23 Mayıs 2008, Erzurum,
17. Karpati, L. and Szakal, Z., (2009). Marketing Characteristics of Tokaj Wine Speciali- ties Based on Factor and Cluster Analyses. Applied Studies in Agribusiness and Commerce – APSTRACT Agroinform Publishing House, Budapest. p: 93-102.
18. Keles, C., (2007). Get an Application with the effect of culture on consumption of green products and green products Depletion of Green Marketing Consumer Behavior. Institute of Social Sciences, Department of Business Administration (M.Sc.).
19. Kesici, M., (2012). The Role of Traditional Food and Beverage Culture Concerning to Demand of Rural Tourism. KMU Social and Economic Research Journal 14 (23): 33-37.
20. Kiziloglu, R. and Kizilaslan, H. (2013). Consumer behaviors on food purchasing places: A case study of red meat consumption in Turkey”, Research&Reviews in Biosciences (RRBS), ISSN: 0974–7532, 7 (11), 453-459.
21. Kiziloglu, R., Kizilaslan, H. and Erumit, İ. (2015). A Study on Determining the Con- sumer Awarness Level and Attitudes About Genetıcally Modified Organ- isis(The Case of Gerze County of Sinop Province). Journal of Agricultural Fac- ulty of Gaziosmanpasa University. 32 (3), 88-97, E-ISSN: 2147-8848.
22. Kiziloglu, R., Kizilaslan, H., Gokce, C., (2013). Study Related to Informations, Con- septs and Attitudes of The Students of Agricultural Faculty in Gaziosmanpasa University About the Green Food Products. Volume: 6, pp: 19-30.
23. Kurtulus, K. (2004). Marketing Research (Expanded 7th Edition). Literature Pub- lishing, Publication No. 114, pp: 397-418, İstanbul.
24. Kusat, N. (2012). A Study Based On The Role Of Traditional Food Products On Re- gional Development and Innovation Characteristics of Traditional Food Products: Example of Afyon. Management and Economics: Celal Bayar Univer- sity Faculty of Economics and Administrative Sciences Journal 19.2: 261-275.
25. Leech, N.L., Barrett, K.C. and Morgan, G.A. (2005). SPSS for intermediate statistics: Use and interpretation (2nd ed). Mahwah, NJ: Lawrence Erlbaum Associates.
26. Ness, M., (2000). Multivariate Techniques in Marketing Research. Curso de Espe- cializacion Postuniversitaria en Marketing Agroalimentario, CHIEAM, Spain.
27. Newbold, P. (1995). Statistics for Business and Economics. New Jersey: Prentice Hall.
28. Orhan, A., (2010). The Use of Geographical Indications in the Conversion of Local Values to Tourism Products; The Case of İzmit Pişmaniyesi. Anatolia: Journal of Tourism Research, Volume 21, Number 2, Fall: 243-254, 2010.
29. Pazarlioglu, M.V., Miran, B., Ucdogruk, S. and Akbay, C. (2007). Using econometric modelling to predict demand for fluid and farm milk: A case study from Tur- key. Food Quality and Preference. 18: 416–424.
30. Sahin, A. and Meral, Y., (2012). Turkey’s Geographical Marking and Local Products. Turkish Scientific Collection Journal 5 (2): 88-92.
31. Stephenson, B. (2008). Binary response and logistic regression analysis. www.public.iastate.edu/~stat415/stephenson/ stat415_chapter3.pdf. adresin- den 22 Kasım 2008 tarihinde edinilmiştir.
32. Tabachnick, B.G. and Fidell, L.S. (1996). Using multivariate statistics (3rd ed.). New York, USA: HarperCollins College Publishers.
33. Tabachnick, B.G. and Fidel, S.L. (2001). Using Multivariate Statistics, 4th Edition, Boston.
34. Tatlıdil, H. (1996). Uygulamalı Çok Değişkenli İstatistiksel Analiz. Cem Web Ofset. Ankara.
35. Tekin, V.N. (2007). SPSS Marketing for Applied Scientific Research. Distinguished Publishing, Ankara.
36. Yilmaz, V. (2009). Investigation of Turkey streams Multivariate Statistical Analysis of Water Quality Parameters. Selcuk University, Institute of Science, Civil En- gineering Department of Business Administration (M.Sc.).