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Hanehalkı Tüketim Harcamalarına Göre İibs Düzey 2 Bölgelerin Kümelenmesi

Year 2022, Volume: 14 Issue: 4, 375 - 386, 29.12.2022

Neslihan Akın Özdemir , Cem Gürler

https://doi.org/10.52791/aksarayiibd.1105051

Abstract

Mevcut çalışmada, Türkiye’de, tüketim harcamalarına göre benzer bölgelerin belirlenmesi amaçlanmıştır. Bu bağlamda, Türkiye İstatistik Kurumu’nun (TÜİK) yayınlamış olduğu Hanehalkı Tüketim Harcamasının verileri kullanılmıştır. İlgili veride gıda ve alkolsüz içecekler, alkollü içecekler, sigara ve tütün, giyim ve ayakkabı, konut ve kira, mobilya, ev aletleri ve bakım hizmetleri, sağlık, ulaştırma, haberleşme, eğlence ve kültür, eğitim hizmetleri, lokanta ve oteller, çeşitli mal ve hizmetler olmak üzere toplamda 12 harcama mevcuttur. Ayrıca veride, TÜİK’in belirlediği Türkiye İstatistiki Bölge Birimleri Sınıflandırması Düzey 2 bölgeleri yer almaktadır. Benzer bölgelerin belirlenmesi için kümeleme yöntemlerinden k-ortalamalar, küme sayısının belirlenmesi için ise Silhouette İndeksinden yararlanılmıştır. Analiz sonucunda 3 küme olduğu tespit edilmiş ve sırasıyla kümelerde 4, 4 ve 18 bölge yer almıştır.

Keywords

Hanehalkı tüketim harcaması Kümeleme analizi K-ortalamalar

References

  • Aslam, A. L. (2017). Does consumption expenditure induce the ecomonic growth? An empirical evidence from Sri Lanka. World Scientific News, 81(2), 221-234.
  • Attanasio, O., E. Hurst, and L. Pistaferri.(2015). the evolution of income, consumption, and leisure inequality in the us, 1980–2010.C.D. Carroll, T.F. Crossley, and J. Sabelhaus (Eds). In Improving the Measurement of Consumer Expenditures (100–140). University of Chicago Press
  • Beer, C. and Wagner, K. (2017). Household's housing expenditure in Austria, Germany and Italy. Monetary Policy and the Economy (Q4/17). https://www.oenb.at/en/Publications/Economics/Monetary-Policy-and-the-Economy.html
  • Berry, Francien, Brian Graf, Michael Stanger, and Mari Ylä-Jarkko (2019). Price Statistics Compilation in 196 Economies: The Relevance for Policy Analysis.” International Monetary Fund Working Paper 19/163
  • Charlier, E., Melenberg, B., & van Soest, A. (2001).” An Analysis of Housing Expenditure Using Semiparametric Models and Panel Data”, Journal of Econometrics, 101, 71–107.
  • Charrad, M., Ghazzali, N., Boiteau, V., Niknafs, A., & Charrad, M. M. (2014). “Package ‘nbclust’”, Journal of Statistical Software”, 61, 1-36.
  • Çağlayan, E. ve Astar, M. (2012). A Microeconometric Analysis of Household Consumption Expenditure Determinants for Both Rural and Urban Areas in Turkey. American International Journal of Contemporary Research, 2(2), 27-34.
  • Dhanachandra, N., Manglem, K., & Chanu, Y. J. (2015). “Image Segmentation Using K -means Clustering Algorithm and Subtractive Clustering Algorithm”, Procedia Computer Science, 54, 764–771.
  • Eurostat (.2020). Household Budget Survey. (11.08.2020). https://ec.europa.eu/eurostat/web/microdata/household-budget-survey.
  • Ghosh, S., & Dubey, S.K. (2013). “Comparative Analysis of K-Means and Fuzzy C Means Algorithms”, International Journal of Advanced Computer Science and Applications, 4 (4), 35-39.
  • Huy, V.Q.(2012). “Determinants of Educational Expenditure in Vietnam”, International Journal of Applied Economics, 9(1), 59-72.
  • Hronova, S., Hindls, R. (2013), Czech households in the years of crises. Statistics and Economic Journal, 93(4), 4-23.
  • Jain, A. K. (2010).” Data clustering: 50 years beyond K-means”, Pattern Recognition Letters, 31(8), 651-666.
  • Kassambara, A., & Mundt, F. (2017). “Package ‘factoextra’”, Extract and Visualize the Results of Multivariate Data Analyses, 76.
  • Kotu, V., & Deshpande, B. (2018). Data Science: Concepts and Practice. Morgan Kaufmann.
  • Likas, A., Vlassis, N., & Verbeek, J. J. (2003).” The Global K-Means Clustering Algorithm”, Pattern recognition, 36(2), 451-461.
  • Madhulatha, T. S. (2012). An overview on clustering methods. arXiv preprint arXiv:1205.1117.
  • McLean, I. W. (1999). Consumer Prices and Expenditure Patterns in Australia 1850-1914. Australian Economic History Review, 39(1), 1–28.
  • Meyer, B. D., & Sullivan, J. X. (2011). Viewpoint: Further results on measuring the well-being of the poor using income and consumption. Canadian Journal of Economics/Revue Canadienne D’économique, 44(1), 52–87.
  • Mont, O., & Power, K. (2010). “The Role of Formal and Informal Forces in Shaping Consumption and Implications for a Sustainable Society. Part I”, Sustainability, 2(7), 2232–2252.
  • Noll, H.-H., & Weick, S. (2014). Consumption expenditures and subjective well-being: empirical evidence from Germany. International Review of Economics, 62(2), 101–119.
  • Obinna, o. (2020). Effect of Inflation on Household Final Consumption Expenditure in Nigeria. Journal of Economics and Development Studies, 8(1), 104-111
  • OECD, (2013). OECD Framework for Statistics on the Distribution of Household Income, Consumption and Wealth. Paris: OECD.
  • Schultze, C. L. (2003). The Consumer Price Index: Conceptual Issues and Practical Suggestions. Journal of Economic Perspectives, 17(1), 3–22.
  • Tapsin, G. ve Hepsag, A. (2014). An Analysis of Household Consumption Expenditures in EA-18. European Scientific Journal , 10(16), 1-12. Tokatlıoğlu, İ. ve Tokatlıoğlu,Y. (2013). “Türkiye’de 2002-2011 Yılları Arasında Katastrofik Sağlık Harcamalarının Yoksulluk Yaratma Kapasitesi”, Ekonomik Yaklaşım, 24(87), 1-36.
  • TÜİK (2019). Hanehalkı Tüketim Harcaması. (10.08.2020). http://www.tuik.gov.tr/PreHaberBultenleri.do?id=30584.
  • TÜİK (2020). Hanehalkı Tüketim Harcaması. https://data.tuik.gov.tr/Bulten/Index?p=Hanehalki-Tuketim-Harcamasi-(Bolgesel)-2019-33594
  • Uğurlar, A. ve Eceral, T.Ö.(2014). “Ankara’da Mevcut Konut (Mülk ve Kiralık) Piyasasına İlişkin bir Değerlendirme”, İdealkent, (12), 132-159.
  • Zalik, K.R. (2008). “An Efficient k’ -means Clustering Algorithm”, Pattern Recognition Letters, 29(9), 1385–1391.
  • Zeynalova Z., Mammadli M., (2020). Analysis of the Economic Factors Affectıng Household Consumption Expenditures in Azerbaijan. Journal of Critical Reviews, 7(7), 241-248.

Clustering Nuts Level 2 Regions By K-Means Method According To Household Consumption Expenditures

Year 2022, Volume: 14 Issue: 4, 375 - 386, 29.12.2022

Neslihan Akın Özdemir , Cem Gürler

https://doi.org/10.52791/aksarayiibd.1105051

Abstract

This paper attempts to determine similar regions in Turkey according to consumption expenditures. For this reason, the data used in the analysis was gathered from Turkish Statistical Instıtute, Household Consumption Expenditures research. In the data, there were 12 variables: food and non-alcoholic beverages, alcoholic beverages, cigarettes, clothing and foot wear, housing and rent, furniture, house appliances, health, transportation, communication, entertainment and culture, educational services, restaurants, food services and hotels, various goods and services. Moreover, NUTS Level 2 regions was analyzed. K-was used to determine similar regions, and Silhouette Index was used to determine the number of clusters. As a result of the analysis, it was determined that there are 3 clusters and there were 4, 4 and 18 regions in the clusters.

Keywords

Household consumption expenditures Cluster analysis K-means

References

  • Aslam, A. L. (2017). Does consumption expenditure induce the ecomonic growth? An empirical evidence from Sri Lanka. World Scientific News, 81(2), 221-234.
  • Attanasio, O., E. Hurst, and L. Pistaferri.(2015). the evolution of income, consumption, and leisure inequality in the us, 1980–2010.C.D. Carroll, T.F. Crossley, and J. Sabelhaus (Eds). In Improving the Measurement of Consumer Expenditures (100–140). University of Chicago Press
  • Beer, C. and Wagner, K. (2017). Household's housing expenditure in Austria, Germany and Italy. Monetary Policy and the Economy (Q4/17). https://www.oenb.at/en/Publications/Economics/Monetary-Policy-and-the-Economy.html
  • Berry, Francien, Brian Graf, Michael Stanger, and Mari Ylä-Jarkko (2019). Price Statistics Compilation in 196 Economies: The Relevance for Policy Analysis.” International Monetary Fund Working Paper 19/163
  • Charlier, E., Melenberg, B., & van Soest, A. (2001).” An Analysis of Housing Expenditure Using Semiparametric Models and Panel Data”, Journal of Econometrics, 101, 71–107.
  • Charrad, M., Ghazzali, N., Boiteau, V., Niknafs, A., & Charrad, M. M. (2014). “Package ‘nbclust’”, Journal of Statistical Software”, 61, 1-36.
  • Çağlayan, E. ve Astar, M. (2012). A Microeconometric Analysis of Household Consumption Expenditure Determinants for Both Rural and Urban Areas in Turkey. American International Journal of Contemporary Research, 2(2), 27-34.
  • Dhanachandra, N., Manglem, K., & Chanu, Y. J. (2015). “Image Segmentation Using K -means Clustering Algorithm and Subtractive Clustering Algorithm”, Procedia Computer Science, 54, 764–771.
  • Eurostat (.2020). Household Budget Survey. (11.08.2020). https://ec.europa.eu/eurostat/web/microdata/household-budget-survey.
  • Ghosh, S., & Dubey, S.K. (2013). “Comparative Analysis of K-Means and Fuzzy C Means Algorithms”, International Journal of Advanced Computer Science and Applications, 4 (4), 35-39.
  • Huy, V.Q.(2012). “Determinants of Educational Expenditure in Vietnam”, International Journal of Applied Economics, 9(1), 59-72.
  • Hronova, S., Hindls, R. (2013), Czech households in the years of crises. Statistics and Economic Journal, 93(4), 4-23.
  • Jain, A. K. (2010).” Data clustering: 50 years beyond K-means”, Pattern Recognition Letters, 31(8), 651-666.
  • Kassambara, A., & Mundt, F. (2017). “Package ‘factoextra’”, Extract and Visualize the Results of Multivariate Data Analyses, 76.
  • Kotu, V., & Deshpande, B. (2018). Data Science: Concepts and Practice. Morgan Kaufmann.
  • Likas, A., Vlassis, N., & Verbeek, J. J. (2003).” The Global K-Means Clustering Algorithm”, Pattern recognition, 36(2), 451-461.
  • Madhulatha, T. S. (2012). An overview on clustering methods. arXiv preprint arXiv:1205.1117.
  • McLean, I. W. (1999). Consumer Prices and Expenditure Patterns in Australia 1850-1914. Australian Economic History Review, 39(1), 1–28.
  • Meyer, B. D., & Sullivan, J. X. (2011). Viewpoint: Further results on measuring the well-being of the poor using income and consumption. Canadian Journal of Economics/Revue Canadienne D’économique, 44(1), 52–87.
  • Mont, O., & Power, K. (2010). “The Role of Formal and Informal Forces in Shaping Consumption and Implications for a Sustainable Society. Part I”, Sustainability, 2(7), 2232–2252.
  • Noll, H.-H., & Weick, S. (2014). Consumption expenditures and subjective well-being: empirical evidence from Germany. International Review of Economics, 62(2), 101–119.
  • Obinna, o. (2020). Effect of Inflation on Household Final Consumption Expenditure in Nigeria. Journal of Economics and Development Studies, 8(1), 104-111
  • OECD, (2013). OECD Framework for Statistics on the Distribution of Household Income, Consumption and Wealth. Paris: OECD.
  • Schultze, C. L. (2003). The Consumer Price Index: Conceptual Issues and Practical Suggestions. Journal of Economic Perspectives, 17(1), 3–22.
  • Tapsin, G. ve Hepsag, A. (2014). An Analysis of Household Consumption Expenditures in EA-18. European Scientific Journal , 10(16), 1-12. Tokatlıoğlu, İ. ve Tokatlıoğlu,Y. (2013). “Türkiye’de 2002-2011 Yılları Arasında Katastrofik Sağlık Harcamalarının Yoksulluk Yaratma Kapasitesi”, Ekonomik Yaklaşım, 24(87), 1-36.
  • TÜİK (2019). Hanehalkı Tüketim Harcaması. (10.08.2020). http://www.tuik.gov.tr/PreHaberBultenleri.do?id=30584.
  • TÜİK (2020). Hanehalkı Tüketim Harcaması. https://data.tuik.gov.tr/Bulten/Index?p=Hanehalki-Tuketim-Harcamasi-(Bolgesel)-2019-33594
  • Uğurlar, A. ve Eceral, T.Ö.(2014). “Ankara’da Mevcut Konut (Mülk ve Kiralık) Piyasasına İlişkin bir Değerlendirme”, İdealkent, (12), 132-159.
  • Zalik, K.R. (2008). “An Efficient k’ -means Clustering Algorithm”, Pattern Recognition Letters, 29(9), 1385–1391.
  • Zeynalova Z., Mammadli M., (2020). Analysis of the Economic Factors Affectıng Household Consumption Expenditures in Azerbaijan. Journal of Critical Reviews, 7(7), 241-248.
There are 30 citations in total.

Details

Primary Language Turkish
Journal Section Research Article
Authors

Neslihan Akın Özdemir 0000-0002-6577-2525

Cem Gürler 0000-0001-5127-6726

Publication Date December 29, 2022
Published in Issue Year 2022Volume: 14 Issue: 4

Cite

APA Akın Özdemir, N., & Gürler, C. (2022). Hanehalkı Tüketim Harcamalarına Göre İibs Düzey 2 Bölgelerin Kümelenmesi. Aksaray Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 14(4), 375-386. https://doi.org/10.52791/aksarayiibd.1105051
AMA Akın Özdemir N, Gürler C. Hanehalkı Tüketim Harcamalarına Göre İibs Düzey 2 Bölgelerin Kümelenmesi. Journal of ASU FEAS. December 2022;14(4):375-386. doi:10.52791/aksarayiibd.1105051
Chicago Akın Özdemir, Neslihan, and Cem Gürler. “Hanehalkı Tüketim Harcamalarına Göre İibs Düzey 2 Bölgelerin Kümelenmesi”. Aksaray Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi 14, no. 4 (December 2022): 375-86. https://doi.org/10.52791/aksarayiibd.1105051.
EndNote Akın Özdemir N, Gürler C (December 1, 2022) Hanehalkı Tüketim Harcamalarına Göre İibs Düzey 2 Bölgelerin Kümelenmesi. Aksaray Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 14 4 375–386.
IEEE N. Akın Özdemir and C. Gürler, “Hanehalkı Tüketim Harcamalarına Göre İibs Düzey 2 Bölgelerin Kümelenmesi”, Journal of ASU FEAS, vol. 14, no. 4, pp. 375–386, 2022, doi: 10.52791/aksarayiibd.1105051.
ISNAD Akın Özdemir, Neslihan - Gürler, Cem. “Hanehalkı Tüketim Harcamalarına Göre İibs Düzey 2 Bölgelerin Kümelenmesi”. Aksaray Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 14/4 (December 2022), 375-386. https://doi.org/10.52791/aksarayiibd.1105051.
JAMA Akın Özdemir N, Gürler C. Hanehalkı Tüketim Harcamalarına Göre İibs Düzey 2 Bölgelerin Kümelenmesi. Journal of ASU FEAS. 2022;14:375–386.
MLA Akın Özdemir, Neslihan and Cem Gürler. “Hanehalkı Tüketim Harcamalarına Göre İibs Düzey 2 Bölgelerin Kümelenmesi”. Aksaray Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, vol. 14, no. 4, 2022, pp. 375-86, doi:10.52791/aksarayiibd.1105051.
Vancouver Akın Özdemir N, Gürler C. Hanehalkı Tüketim Harcamalarına Göre İibs Düzey 2 Bölgelerin Kümelenmesi. Journal of ASU FEAS. 2022;14(4):375-86.
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