Türkiye’de Ev Dışı Gıda Harcamalarının Kohort Analizi

Year 2023, Volume: 6 Issue: 1, 121 - 139, 10.03.2023

Seda Sengul , Çiler Sigeze

https://doi.org/10.47495/okufbed.1094441

Abstract

Bu çalışmada Türkiye İstatistik Kurumu tarafından derlenen 2002-2018 yılı Hanehalkı Bütçe Araştırmaları Anketi verileri kullanılarak Türkiye'de hanelerin ev dışı gıda harcamaları incelenmiştir. Hanelerin ev dışı gıda harcamaları üzerinde hane özelliklerinin ve hanedeki bireylerin sosyo-demografik özelliklerinin yanında yaş, zaman ve kohort etkisi Çift Eşik modeli ile incelenmiştir. Elde edilen bulgular incelendiğinde bireylerin ev dışı gıda harcamalarının hem katılım hem de tüketim kararında kohort ve yaş etkisi önemli bulunmuştur. Bulgular, daha genç kohortlar için ev dışı gıda harcamasının daha yaşlı kohortlara göre daha hızlı arttığını göstermektedir. Kohortlar ve yaş grupları için gıda esneklikleri ise en genç kohortlardan ve en genç yaş gruplarından, en yaşlı kohortlara ve en büyük yaş gruplarına doğru artmaktadır. Sonuç olarak Türkiye'de gelir ve demografik değişkenler ev dışı gıda tüketiminde, katılım ve tüketim kararlarını etkilemektedir.

Keywords

Ev Dışı Gıda, Kohort Etkisi, Yaş Etkisi, Çift Eşik Modeli

A Cohort Analysis of Food Expenditure Away From Home in Turkey

Abstract

In this study, the expenditures of food away from home of households are examined using the Household Consumption Expenditure Survey, which was conducted by the Turkish Institute of Statistics from 2002 to 2018. We adopt the Dependent Double Hurdle model with the incorporation of age, period, and cohort effects and the impact of socio-demographic variables. Analysis results reveal that the cohort and age effects are significant in both participation and consumption on food expenditure away from home of household. The findings suggest that the expenditure of food away from home for younger cohorts rises faster for older cohorts. The elasticity of food expenditures for cohorts and age groups is increasing from the youngest cohort and from the youngest age group to the oldest cohort which is the largest age group. The results show that participation and consumption decisions are significantly affected by income and demographic characteristics in Turkey.

Keywords

Food Away from Home, Cohort Effects, Age Effects, Double Hurdle Model

References

• Abdel‐Ghany, M., Sharpe, D. L. (1997). Consumption patterns among the young‐old and old‐old. Journal of Consumer Affairs, 31(1), 90-112.
• Ando, A., Modigliani, F. (1957). Tests of the life cycle hypothesis of saving: comments and suggestions. Bulletin of the Oxford Institute of Statistics, 19(2), 99-124.
• Aristei, D., Perali, F., Pieroni, L. (2005). Cohort analysis of alcohol consumption: a double hurdle approach. Working Papers wp09_05, CHILD-centre for Household, Income, Labour and Demographic Economics, Working Papers.
• Aristei, D., Perali, F., Pieroni, L. (2008). Cohort, age and time effects in alcohol consumption by Italian households: a double-hurdle approach. Empirical Economics, 35(1), 29-61.
• Bai, J., Wahl, T. I., Lohmar, B. T., Huang, J. (2010). Food away from home in Beijing: Effects of wealth, time and “free” meals. China Economic Review, 21(3), 432-441.
• Becker, G. S. (1965). A Theory of the Allocation of Time. The economic journal, 493-517.
• Blick, M., Abidoye, B. O., Kirsten, J. F. (2018). An investigation into food-away-from-home consumption in South Africa. Development Southern Africa, 35(1), 39-52.
• Blisard, N. (2001). Income and food expenditures decomposed by cohort, age, and time effects (No. 1488-2016-124592).
• Bozoglu, M., Bilgic, A., Yen, S. T., Huang, C. L. (2013). Household food expenditures at home and away from home in Turkey. Agricultural & Applied Economics Association’s 2013 AAEA & CAES Joint Annual Meeting, Washington, DC, August 4-6, 2013.
• Byrne, P. J., Capps Jr, O., Saha, A. (1996). Analysis of food-away-from-home expenditure patterns for US households, 1982–89. American Journal of Agricultural Economics, 78(3), 614-627.
• Cupak, A., Pokrivcak, J., Rizov, M. (2016). Demand for food away from home in Slovakia. Finance a úvěr: Czech Journal of Economics and Finance, 66(4), 354-369.
• Deaton, A. (1985). Panel data from time series of cross-sections. Journal of econometrics, 30(1-2), 109-126.
• Deaton, A. (1997). The analysis of household surveys: a microeconometric approach to development policy. The World Bank.
• Deaton, A. S., Paxson, C. (1994). Saving, growth, and aging in Taiwan. In Studies in the Economics of Aging (pp. 331-362). University of Chicago Press.
• Deaton, A. S., Paxson, C. H. (1997). The effects of economic and population growth on national saving and inequality. Demography, 34(1), 97-114.
• Deaton, A. S., Paxson, C. H. (1998). Aging and inequality in income and health. The American Economic Review, 88(2), 248-253.
• Drescher, L. S., Roosen, J. (2013). A cohort analysis of food-at-home and food-away-from-home expenditures in Germany. German Journal of Agricultural Economics, 62(670-2016-45966), 39-51.
• Gilly, M. C., Enis, B. M. (1982). Recycling the family life cycle: A proposal for redefinition. ACR North American Advances.
• Glenn, N. D. (1977; 2005). Cohort analysis (vol. 5). Sage Publications, London.
• Godfrey, L. G. (1978). Testing for multiplicative heteroscedasticity. Journal of econometrics, 8(2), 227-236.
• Haq, Z. U., Sherif, S., Gheblawi, M. (2014). Impact of socioeconomic and demographic characteristics of households on demand for Food Away from Home in the United Arab Emirates. International Journal of Hospitality Management, 42, 92-99.
• Harris, J. M., Blisard, N. (2001). Analyzing the Impact of Generational Effects on Consumer Expenditures for Meats: A Cohort Approach. Journal of Food Distribution Research, 32(856-2016-57713), 64-73.
• Jang, S., Ham, S., Hong, G. S. (2007). Food-away-from-home expenditure of senior households in the United States: A double-hurdle approach. Journal of Hospitality & Tourism Research, 31(2), 147-167.
• Jensen, H. H., Yen, S. T. (1996). Food expenditures away from home by type of meal. Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, 44(1), 67-80.
• Kinsey, J. (1983). Working wives and the marginal propensity to consume food away from home. American Journal of Agricultural Economics, 65(1), 10-19.
• Lancaster, K. J. (1966). A new approach to consumer theory. Journal of political economy, 74(2), 132-157.
• Lancaster, K. J. (1971). A new theory of consumer demand. Columbia University Press, New York.
• Latimaha, R., Bahari, Z., Ismail, N. A. (2018). Food away from home of middle-income earners: Empirical evidence from the three major cities in Malaysia. Geografia-Malaysian Journal of Society and Space, 14(4).
• Liu, H., Wahl, T. I., Seale Jr, J. L., Bai, J. (2012). Household composition and food away from home expenditures in urban China (No. 323-2016-11641, pp. 2-21).
• Liu, H., Wahl, T. I., Seale Jr, J. L., Bai, J. (2015). Household composition, income, and food-away-from-home expenditure in urban China. Food policy, 51, 97-103.
• Lührmann, M. (2010). Consumer expenditures and home production at retirement–new evidence from Germany. German Economic Review, 11(2), 225-245.
• Manrique, J., Jensen, H. H. (1998). Working women and expenditures on food away‐from‐home and at‐home in Spain. Journal of Agricultural Economics, 49(3), 321-333.
• McCracken, V. A., Brandt, J. A. (1987). Household consumption of food-away-from-home: total expenditure and by type of food facility. American Journal of Agricultural Economics, 69(2), 274-284.
• Mihalopoulos, V. G., Demoussis, M. P. (2001). Greek household consumption of food away from home: a microeconometric approach. European Review of Agricultural Economics, 28(4), 421-432.
• Mori, H., Lowe III, E. G., Clason, D. L., Gorman, W. D. (2000). Cohort analysis of food consumption: a case of rapidly changing Japanese consumption. International Food and Agribusiness Management Review, 3(1030-2016-82633), 189-205.
• Mutlu, S., Gracia, A. (2006). Spanish food expenditure away from home (FAFH): by type of meal. Applied Economics, 38(9), 1037-1047.
• Nayga Jr, R. M., Capps Jr, O. (1994). Impact of socio-economic and demographic factors on food away from home consumption: Number of meals and type of facility. Journal of Restaurant & Foodservice Marketing, 1(2), 45-69.
• Nayga, R. M. (1996). Wife's labor force participation and family expenditures for prepared food, food prepared at home, and food away from home. Agricultural and Resource Economics Review, 25(2), 179-186.
• Ogundari, K., Aladejimokun, A. O., Arifalo, S. F. (2015). Household demand for food away from home (fafh) in Nigeria: the role of education. The Journal of Developing Areas, 247-262.
• Prochaska, F. J., Schrimper, R. A. (1973). Opportunity cost of time and other socioeconomic effects on away-from-home food consumption. American Journal of Agricultural Economics, 55(4_Part_1), 595-603.
• Stewart, H., Blisard, N. (2008). Are younger cohorts demanding less fresh vegetables? Review of Agricultural Economics, 30(1), 43-60.
• Tan, A. K. (2010). Demand for food-away-from-home in Malaysia: a sample selection analysis by ethnicity and gender. Journal of Foodservice Business Research, 13(3), 252-267.
• Terin, M. (2019). Determining factors in food away from home expenditure of Turkish households. Applied Ecology and Environmental Research, 17(2), 3441-3455.
• Turkish Statistical Institute (TurkStat), Household budget survey, 2002-2018.
• Uzunoz, M., Akcay, Y., Aslan, C. (2011). Factors affecting consumer preferences of food away from home in Tokat Province of Turkey. Bulgarian Journal of Agricultural Science, 17(1), 597-605.
• Vuong, Q. H. (1989). Likelihood ratio tests for model selection and non-nested hypotheses. Econometrica: Journal of the Econometric Society, 307-333.
• Wendt, M., Kinsey, J. D. (2007). Do eating patterns follow a cohort or change over a lifetime? answers emerging from the literature (No. 1710-2016-140010).
• White, H. (1980). A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica: journal of the Econometric Society, 817-838.
• Yen, S. T. (1993). Working wives and food away from home: the Box-Cox double hurdle model. American Journal of Agricultural Economics, 75(4), 884-895.
• Yen, S. T., Huang, C. L. (1996). Household demand for Finfish: a generalized double-hurdle model. Journal of agricultural and resource economics, 220-234.
• Yen, S. T., Jones, A. M. (1997). Household consumption of cheese: an inverse hyperbolic sine double‐hurdle model with dependent errors. American journal of agricultural economics, 79(1), 246-251.
• Yen, S. T., Su, S. J. (1995). Modeling US butter consumption with zero observations. Agricultural and Resource Economics Review, 24(1203-2016-94988), 47-55.
• Zan, H. U. A., Fan, J. X. (2010). Cohort effects of household expenditures on food away from home. Journal of Consumer Affairs, 44(1), 213-233.