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Year 2024, Volume: 8 Issue: 1, 10 - 13, 30.06.2024

Abstract

Project Number

NA

References

  • Adams, M.A., Conway, T.L. (2014). Odds Ratio. In: Michalos, A.C. (eds) Encyclopedia of quality of life and well-being research. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0753-5_1999.
  • Berkson, J. (1944). Application of the logistic function to bio-essay. Journal of the American Statistical Association. 9: 357-365.
  • Bland, J.M., Altman, D.G. (2000). Statistics notes: The odds ratio. British Medical Journal - BMJ 2000; 320: 1468. DOI: https://doi.org/10.1136/bmj.320.7247.1468.
  • Bolek, S. (2021). Food purchasing, preservation, and eating behavior during COVID-19 pandemic: A consumer analysis. Italian J. of Food Science. 33(3):14-24. DOI: https://doi.org/10.15586/ijfs.v33i3.2048.
  • Ceylan, R.F.., Kutlar, I., Guven, M., Bayraktar, C. (2021). Probability to buy agricultural products from different sales points during COVID-19: an exemplary scenario analysis Fresenius Environmental Bulletin. 30(05): 4719-4729.
  • Crochiere, R. Tribolet, J., Rabiner. L. (1980). An interpretation of the log likelihood ratio as a Measure of Waveform Coder Performance. in IEEE Transactions on Acoustics, Speech, and Signal Processing. 28(3): 318-323. DOI: 10.1109/TASSP.1980.1163417.
  • Cox, D.R., E.J. Snell (1989). Analysis of binary data. Chalpman Hall/ CRC, 2nd ed. pp: 240.
  • Cramer, J.S. (2002). The origins of logistic regression. Tinbergen Institute Discussion Paper, No. 02-119/4, Tinbergen Institute, Amsterdam and Rotterdam.
  • Efron, B. (1988). Logistic regression, survival analysis, and the Kaplan-Meier curve. J. of the American Statistical Association. 83(402): 414-425.
  • El Bilali H., Ben Hassen, T., Baya Chatti, C., Abouabdillah, A., Alaoui, S.B. (2021). Exploring household food dynamics during the COVID-19 pandemic in Morocco. Front. Nutr. 8: Art. No: 724803. DOI: 10.3389/fnut.2021.724803.
  • Gujarati, D.N. (2003). Basic econometrics. New York: McGraw Hill Book Co. pp: 545-546, 555.
  • Guiné, R.P.F., Florença, S.G., Costa, D.T.V.A., Çelik, S., Ferreira, M., Cardoso, A.P., Çetin, S., Costa, C.A. (2022). Comparative study about the consumption of organic food products on samples of Portuguese and Turkish consumers under the COVID-19 pandemic context. Agronomy 12: Art. No: 1385. https://doi.org/10.3390/agronomy12061385.
  • Guney, O.I., Sangun, L. (2021). How COVID-19 affects individuals' food consumption behaviour: A consumer survey on attitudes and habits in Turkey. British Food Journal, 123(7): 2307-2320. https://doi.org/10.1108/BFJ-10-2020-0949.
  • Haskaraca, G., Bostanci, E., Arslan, Y. (2021). Effects of the COVID-19 pandemic on eating and meat consumption habits of Turkish adults. Turkish Journal of Agriculture - Food Science and Technology. 9(1): 63-69.
  • Hosmer, W., Lemeshow, S. (1989). Applied logistic regression. Wiley Series in Probability and Statistics, New York. pp: 375.
  • Ivanović, D., Antonijević. M. (2020). The role of online shopping in the Republic of Serbia during COVID‐19 Economic analysis: EA. ISSN 2560-3949, ZDB-ID 2764079-6. - Vol. 53. (1): 28-41. DOI: 10.28934/ea.20.53.1. pp28-41.
  • Kartari, A., Ozen, A.E., Correia, A., Wen J., Kozak, M. (2021). Impacts of COVID-19 on changing patterns of household food consumption: An intercultural study of three countries. International Journal of Gastronomy and Food Science. 26: Article No: 100420.
  • McFadden, D. (1973). Conditional logit analysis of qualitative choice be. In: Zarembka, P., Ed., Frontiers in Econometrics, Academic Press, New York, 105-142.
  • Nagelkerke, N.J.D. (1991). A note on a general definition of the coefficient of determination. Biometrika. 78:691-692.
  • Ozenoglu, A., Cevik, E., Colak, H., Altıntas, T., Alakuş, K. (2021). Changes in nutrition and lifestyle habits during the COVID-19 pandemic in turkey and the effects of healthy eating attitudes. Mediterranean Journal of Nutrition and Metabolism. 14(3): 325-341.

Food consumption tendencies of Turkish consumers within COVID-19 process

Year 2024, Volume: 8 Issue: 1, 10 - 13, 30.06.2024

Abstract

Some occasions and situations lead significant variation and evolutions in continuity of livelihoods. The impact of COVID-19 pandemic has been visible in many aspects since its first announcement in 2020. Even if the people seemed to turn back to their old routines, the routines had already changed within the process. This paper aimed to look at the changing nutrition preferences and demand for specific products. An online consumer survey was applied in 2020 in Turkey with 499 randomly selected individuals to understand their changing demand for fresh fruits and vegetables and animal products. The rising purchases were estimated against socio-demographic factors with multinominal logistic regression. The outputs indicated the importance of education, level of income and amount of prospective spending on nutrition for maintenance of demand and supplies under pandemic conditions.

Ethical Statement

There are no ethical concerns between authors

Supporting Institution

NA

Project Number

NA

References

  • Adams, M.A., Conway, T.L. (2014). Odds Ratio. In: Michalos, A.C. (eds) Encyclopedia of quality of life and well-being research. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0753-5_1999.
  • Berkson, J. (1944). Application of the logistic function to bio-essay. Journal of the American Statistical Association. 9: 357-365.
  • Bland, J.M., Altman, D.G. (2000). Statistics notes: The odds ratio. British Medical Journal - BMJ 2000; 320: 1468. DOI: https://doi.org/10.1136/bmj.320.7247.1468.
  • Bolek, S. (2021). Food purchasing, preservation, and eating behavior during COVID-19 pandemic: A consumer analysis. Italian J. of Food Science. 33(3):14-24. DOI: https://doi.org/10.15586/ijfs.v33i3.2048.
  • Ceylan, R.F.., Kutlar, I., Guven, M., Bayraktar, C. (2021). Probability to buy agricultural products from different sales points during COVID-19: an exemplary scenario analysis Fresenius Environmental Bulletin. 30(05): 4719-4729.
  • Crochiere, R. Tribolet, J., Rabiner. L. (1980). An interpretation of the log likelihood ratio as a Measure of Waveform Coder Performance. in IEEE Transactions on Acoustics, Speech, and Signal Processing. 28(3): 318-323. DOI: 10.1109/TASSP.1980.1163417.
  • Cox, D.R., E.J. Snell (1989). Analysis of binary data. Chalpman Hall/ CRC, 2nd ed. pp: 240.
  • Cramer, J.S. (2002). The origins of logistic regression. Tinbergen Institute Discussion Paper, No. 02-119/4, Tinbergen Institute, Amsterdam and Rotterdam.
  • Efron, B. (1988). Logistic regression, survival analysis, and the Kaplan-Meier curve. J. of the American Statistical Association. 83(402): 414-425.
  • El Bilali H., Ben Hassen, T., Baya Chatti, C., Abouabdillah, A., Alaoui, S.B. (2021). Exploring household food dynamics during the COVID-19 pandemic in Morocco. Front. Nutr. 8: Art. No: 724803. DOI: 10.3389/fnut.2021.724803.
  • Gujarati, D.N. (2003). Basic econometrics. New York: McGraw Hill Book Co. pp: 545-546, 555.
  • Guiné, R.P.F., Florença, S.G., Costa, D.T.V.A., Çelik, S., Ferreira, M., Cardoso, A.P., Çetin, S., Costa, C.A. (2022). Comparative study about the consumption of organic food products on samples of Portuguese and Turkish consumers under the COVID-19 pandemic context. Agronomy 12: Art. No: 1385. https://doi.org/10.3390/agronomy12061385.
  • Guney, O.I., Sangun, L. (2021). How COVID-19 affects individuals' food consumption behaviour: A consumer survey on attitudes and habits in Turkey. British Food Journal, 123(7): 2307-2320. https://doi.org/10.1108/BFJ-10-2020-0949.
  • Haskaraca, G., Bostanci, E., Arslan, Y. (2021). Effects of the COVID-19 pandemic on eating and meat consumption habits of Turkish adults. Turkish Journal of Agriculture - Food Science and Technology. 9(1): 63-69.
  • Hosmer, W., Lemeshow, S. (1989). Applied logistic regression. Wiley Series in Probability and Statistics, New York. pp: 375.
  • Ivanović, D., Antonijević. M. (2020). The role of online shopping in the Republic of Serbia during COVID‐19 Economic analysis: EA. ISSN 2560-3949, ZDB-ID 2764079-6. - Vol. 53. (1): 28-41. DOI: 10.28934/ea.20.53.1. pp28-41.
  • Kartari, A., Ozen, A.E., Correia, A., Wen J., Kozak, M. (2021). Impacts of COVID-19 on changing patterns of household food consumption: An intercultural study of three countries. International Journal of Gastronomy and Food Science. 26: Article No: 100420.
  • McFadden, D. (1973). Conditional logit analysis of qualitative choice be. In: Zarembka, P., Ed., Frontiers in Econometrics, Academic Press, New York, 105-142.
  • Nagelkerke, N.J.D. (1991). A note on a general definition of the coefficient of determination. Biometrika. 78:691-692.
  • Ozenoglu, A., Cevik, E., Colak, H., Altıntas, T., Alakuş, K. (2021). Changes in nutrition and lifestyle habits during the COVID-19 pandemic in turkey and the effects of healthy eating attitudes. Mediterranean Journal of Nutrition and Metabolism. 14(3): 325-341.
There are 20 citations in total.

Details

Primary Language English
Subjects Agricultural Policy
Journal Section Original Papers
Authors

Figen Ceylan 0000-0003-0459-7521

İlkay Kutlar 0000-0001-5478-8452

Project Number NA
Early Pub Date June 29, 2024
Publication Date June 30, 2024
Submission Date April 12, 2024
Acceptance Date May 30, 2024
Published in Issue Year 2024 Volume: 8 Issue: 1

Cite

APA Ceylan, F., & Kutlar, İ. (2024). Food consumption tendencies of Turkish consumers within COVID-19 process. International Journal of Agriculture Forestry and Life Sciences, 8(1), 10-13.
AMA Ceylan F, Kutlar İ. Food consumption tendencies of Turkish consumers within COVID-19 process. Int J Agric For Life Sci. June 2024;8(1):10-13.
Chicago Ceylan, Figen, and İlkay Kutlar. “Food Consumption Tendencies of Turkish Consumers Within COVID-19 Process”. International Journal of Agriculture Forestry and Life Sciences 8, no. 1 (June 2024): 10-13.
EndNote Ceylan F, Kutlar İ (June 1, 2024) Food consumption tendencies of Turkish consumers within COVID-19 process. International Journal of Agriculture Forestry and Life Sciences 8 1 10–13.
IEEE F. Ceylan and İ. Kutlar, “Food consumption tendencies of Turkish consumers within COVID-19 process”, Int J Agric For Life Sci, vol. 8, no. 1, pp. 10–13, 2024.
ISNAD Ceylan, Figen - Kutlar, İlkay. “Food Consumption Tendencies of Turkish Consumers Within COVID-19 Process”. International Journal of Agriculture Forestry and Life Sciences 8/1 (June 2024), 10-13.
JAMA Ceylan F, Kutlar İ. Food consumption tendencies of Turkish consumers within COVID-19 process. Int J Agric For Life Sci. 2024;8:10–13.
MLA Ceylan, Figen and İlkay Kutlar. “Food Consumption Tendencies of Turkish Consumers Within COVID-19 Process”. International Journal of Agriculture Forestry and Life Sciences, vol. 8, no. 1, 2024, pp. 10-13.
Vancouver Ceylan F, Kutlar İ. Food consumption tendencies of Turkish consumers within COVID-19 process. Int J Agric For Life Sci. 2024;8(1):10-3.

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