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Çoklu Uygunluk Analizi ile Ülkeler Arasında Finansal Tabana Yayılma ve Gelirin Karşılaştırılması

Yıl 2022, Cilt: 24 Sayı: 1, 230 - 259, 27.04.2022

Öz

Dünyada finansal tabana yayılma, her bireyi finansal hizmetlere bağlamak için uzun ve sürekli gelişen bir tarihsel sürece sahiptir. Pek çok finans kurumu, 2000'li yılların başından beri sadece mikro kredi sunmaktan, tasarruf ve sigorta gibi finansal hizmetlere temel erişim sağlamaya doğru gelişti. Ancak, 2008 küresel finansal krizi, diğer tüm ekonomik krizler gibi, ekonomi dinamiklerinde değişiklikler yaratmış ve finansal tabana yayılma, finansal konularda temel bir strateji haline gelmiştir. Genel olarak, finansal içerme, toplumun tüm üyeleri için finansal hizmetlere erişim, kullanılabilirlik ve kullanım kolaylığı sağlayan bir süreç olarak tanımlanır. Makroekonomik etkiler açısından, finansal tabana yayılma ile ilgili çalışmalar ekonomik büyüme, finansal istikrar ve eşitsizlik etrafında şekillenmiştir. Dünya Bankası'nın finansal tabana yayılmaya ilişkin çalışmaları ve endeksleri, literatürün hatırı sayılır bir bölümünü oluşturmaktadır. Bu çalışmada, Global Findex 2017 verileri kullanılarak, yüksek gelirli ülkeler, düşük gelirli ülkeler ve Türkiye'deki finansal tabana yayılma - gelir ilişkisi, Çoklu Uygunluk Analizi (MCA) ile incelenmiştir. Acil bir finansman ihtiyacı olması durumunda, düşük gelirli Avrupa ve Orta Asya ülkelerindeki bireyler finansal kurumlara değil, daha geleneksel kanallara yönelmektedirler. Yüksek gelirli ülkelerde tasarruf ve finans kuruluşlarının daha çok tercih edildiği sonucuna varılmıştır. Ayrıca, önemli bir bulgu olarak, yüksek gelirli “OECD dışı ülkelerde” bu kadar acil bir finansman ihtiyacı olması durumunda, ihtiyaçlar daha fazla istihdam kanalıyla karşılanmaktadır. Finansal katılım bakımından ülkeler arasında gelir düzeyi, eğitim, cinsiyet ve yaş farklılık göstermekte ve belirgin birer değişken olmaktadırlar.

Proje Numarası

This Study was not supported by any project.

Kaynakça

  • Abdi, H., & Valentin, D. (2007). Multiple correspondence analysis. Encyclopedia of Measurement and Statistics,2, 651–657
  • Amidžic, G, Massara, M. A., & Mialou, A. (2014). Assessing countries’ financial inclusion standing-A new composite index (No. 14-36). International Monetary Fund.
  • Aslan, G., Deléchat, C., Newiak, M. M., & Yang, M. F. (2017). Inequality in financial inclusion and income inequality. Washington: International Monetary Fund.
  • Atkinson, A., & Messy, F. A. (2013). Promoting financial inclusion through financial education: OECD/INFE evidence, policies and practice.
  • Bateman, M., & Chang, H. J. (2012). Microfinance and the illusion of development: From hubris to nemesis in thirty years. World Economic Review, (1).
  • Beck, T., Demirguc-Kunt, A., & Martinez Peria, M. S. (2006). Banking services for everyone? Barriers to bank access and use around the world. The World Bank.
  • Beck, T., Demirguc-Kunt, A., & Honohan, P. (2008). Access to financial services: Measurement, impact and policies. The World Bank Research Observer. Doi: 10.1093/wbro/lkn008· Source: RePEc, 1-42.
  • Beh, E. J., & Lombardo, R. (2014). Correspondence analysis: theory, practice and new strategies. John Wiley & Sons.
  • Benzécri, J. P. (1992). Correspondence analysis handbook. CRC Press LLC.
  • Cano, C., Esguerra, M., García, N., Rueda, L., & Velasco, A. (2013). Acceso a Servicios financieros en Colombia. Borradores de Economía No. 776 2013. Banco de la República.
  • Clausen, S. E. (1998). Applied correspondence analysis: An introduction (Vol. 121). Sage.
  • Claessens, S. (2006). Access to Financial Services: A Review of the Issues and Public Policy Objectives. The World Bank Research Observer,21(2), 207-240.
  • Davis, E. P. (2003). Comparing bear markets-1973 and 2000. National Institute Economic Review, 183(1), 78-89. Avaliable at https://www.ephilipdavis.com/davis-final.pdf
  • Demirguc-Kunt, A., & Klapper, L. (2012). Measuring financial inclusion: The global findex database. The World Bank.
  • Demirguc-Kunt, A., Klapper, L., Singer, D., Ansar, S., & Hess, J. (2018). The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution. The World Bank.
  • Dungey, M., Tchatoka, F. D., & Yanotti, M. B. (2018). Using multiple correspondence analysis for finance: A tool for assessing financial inclusion. International Review of Financial Analysis, 59, 212-222.
  • Fisher, R. A. (1940). The precision of discriminant functions. Annals of Eugenics, 10,422-429.
  • Fomum, T. A., & Jesse, A. M. (2017). Exploring the relationship between financial inclusion and assets accumulation in South Africa. International Journal of Social Economics.
  • Epstein, G. (2001). Financialization, rentier interests, and central bank policy. manuscript, Department of Economics, University of Massachusetts, Amherst, MA, December..
  • Greenacre, M., & Blasius, J. (Eds.). (2006). Multiple correspondence analysis and related methods. CRC press.
  • Greenacre, M. (2007). Correspondence Analysis in Practice, Chapman & Hall. CRC, Baton Rouge, Florida.
  • Gifi, A. (1990). Nonlinear multivariate analysis. John Wiley & Sons
  • Guttman, L. (1941). The quantification of a class of attributes: A theory and method of scale construction. In P. Horst (with collaboration of P. Wallin & L. Guttman) (Ed.), The prediction of personal adjustment (pp. 319-348). New York: Social Science Research Council.
  • Han, R., & Melecky, M. (2013). Financial inclusion for stability: Access to bank deposits and the deposit growth during the global financial crisis. Policy Research Working Paper, 6577. Washington: World Bank
  • Hirschfeld, H. O. (1935). A connection between correlation and contingency. In Proceedings of the Cambridge Philosophical Society (Vol. 31, No. 4, pp. 520-524).
  • Kempson, E., & Whyley, C. (1999). Kept Out or Opted Out? Understanding and Combating Financial Exclusion. Bristol: The Policy Press. [Online] Available at: http://www.bristol.ac.uk/media-library/sites/geography/migrated/documents/pfrc9902.pdf. Accessed 20 August 2020.
  • Koomson, I., Villano, R. A., & Hadley, D. (2020). Effect of financial inclusion on poverty and vulnerability to poverty: Evidence using a multidimensional measure of financial inclusion. Social Indicators Research, 1-27.
  • Kvangraven, I. H., & dos Santos, P. L. (2018). Financial Inclusion and Its Discontents. Private Debt Project. Viewed, 15. Le Roux, B., & Rouanet, H. (2010). Multiple correspondence analysis (Vol. 163). Sage.
  • Levine, R. (1997). Financial Development and Economic Growth: Views and Agenda. Journal of Economic Literature, 35(2), 688-726. Retrieved November 9, 2020, from http://www.jstor.org/stable/2729790
  • Leyshon, A., & Thrift, N. (1993). The restructuring of the UK financial services industry in the 1990s: a reversal of fortune?. Journal of Rural Studies, 9(3), 223-241.
  • Leyshon, A., & Thrift, N. (1995). Geographies of financial exclusion: financial abandonment in Britain and the United States. Transactions of the Institute of British Geographers, 312-341.
  • Mehrotra, A. N., & Yetman, J. (2015). Financial inclusion-issues for central banks. BIS Quarterly Review March.
  • Orhangazi, Ö. (2008). Financialization and the US Economy. Cheltenham: Edward Elgar Publishing.
  • Ozili, P. K. (2020). Financial inclusion research around the world: A review. In Forum for social economics (pp. 1-23). Routledge.
  • Palley, T. I. (2013). Financialization: what it is and why it matters. In Financialization (pp. 17-40). Palgrave Macmillan, London.
  • Pearce, D. (2011). Financial inclusion in the Middle East and North Africa: Analysis and roadmap recommendations. The World Bank.
  • Pearce, D., & Ortega, C. R. (2012). Financial inclusion strategies: reference framework (No. 78761, pp. 1-60). The World Bank.
  • Pena, X., Hoyo, C., & Tuesta, D. (2014). Determinants of financial inclusion in Mexico based on the 2012 National Financial Inclusion Survey (ENIF). Documento de Trabajo, (14/14).
  • Robinson, J. (1965). Essays in the theory of economic growth. Springer.
  • Sahay, R., Cihak, M., & N’Diaye, P. (2015a). Financial Inclusion: Can It Meet Multiple Macroeconomic Goals? International Monetary Fund.
  • Sahay, R., Čihák, M., N'Diaye, P., & Barajas, A. (2015b). Rethinking financial deepening: Stability and growth in emerging markets. Revista de Economía Institucional, 17(33), 73-107.
  • Sarma, M. (2008). Index of financial inclusion (No. 215). ICRIER Working Papers, Indian Council for Research on International Economic Relations
  • Sarma, M. (2012). Index of Financial Inclusion–A measure of financial sector inclusiveness. Centre for International Trade and Development, School of International Studies Working Paper Jawaharlal Nehru University. Delhi, India.
  • Sethi, D., & Acharya, D. (2018). Financial inclusion and economic growth linkage: Some cross country evidence. Journal of Financial Economic Policy.
  • Sharma, D. (2016). Nexus between financial inclusion and economic growth. Journal of financial economic policy.
  • Soederberg, S. (2013). Universalising financial inclusion and the securitisation of development. Third World Quarterly, 34(4), 593-612.
  • Stiglitz, J. E. (2001). Principles of financial regulation: a dynamic portfolio approach. The World Bank Research Observer, 16(1), 1-18.
  • Taylor, M. (2012). The Antinomies of ‘Financial Inclusion’: Debt, Distress and the Workings of I ndian Microfinance. Journal of Agrarian Change, 12(4), 601-610.
  • TEB, 2013, Availiable at https://www.teb.com.tr/upload/PDF/aile%20akademisi%20erisim%20endeksi%20raporu/foe_endeks_rapor_2013.pdf
  • TEB, 2018, Availiable at https://www.teb.com.tr/upload/PDF/TEB-FOE-Rapor-2018_website.pdf
  • Tenenhaus, M., & Young, F. W. (1985). An analysis and synthesis of multiple correspondence analysis, optimal scaling, dual scaling, homogeneity analysis and other methods for quantifying categorical multivariate data. Psychometrika, 50(1), 91-119.
  • Tepav. (2009). 2007-08 Küresel Finans Krizi ve Türkiye: Etkiler ve Öneriler, Politika Notu.
  • United Nations. (2017). World Economic and Social Survey 2013: Reflecting on Seventy Years of Development Policy Analysis. United Nations New York, NY
  • Wray, L. R. (2016). Minsky crisis. In Banking Crises (pp. 230-240). Palgrave Macmillan, London.
  • Yeldan, E. (2009). Kapitalizmin Yeniden Finansallaşması ve 2007/2008 Krizi: Türkiye Krizin Neresinde?. Çalışma ve Toplum, 1, 11-28.
  • Yıldız, H., & Çağlayan, T. (2016). Finansal Dışlama ve Sosyal Dışlama Olgusu: Çoklu Uyum Analizi (MCA) Modeli İle Analiz. Social & Economic Dynamics of Development: Case Studies, 27.

Comparison of Financial Inclusion and Income Between Countries with Multiple Correspondence Analysis

Yıl 2022, Cilt: 24 Sayı: 1, 230 - 259, 27.04.2022

Öz

In the World financial inclusion has a long and constantly evolving historical process to connect every individual to financial services. Many financial institutions have evolved since the early 2000s from simply offering microcredit to providing basic access to financial services such as savings and insurance. However, the 2008 global financial crisis, like all other economic crises, created changes in the dynamics of economics and financial inclusion has become a basic strategy in the financial issues. Generally, financial inclusion is defined as a process that provides access, availability, and ease of use to financial services for all members of society. In terms of macroeconomic impacts, studies on financial inclusion have been shaped around economic growth, financial stability, and inequality. The World Bank's studies and indexes on financial inclusion constitute a considerable part of the literature. In this study, using data from the Global Findex 2017, high-income countries, low-income countries and in Turkey financial inclusion - income relationship with multiple correspondence analysis (MCA) were examined. In the event of an urgent need for funding, individuals in low-income European and Central Asian countries turn to more traditional channels, not financial institutions. It is concluded that savings and financial institutions are preferred more in high-income countries. Also, as an important finding, in the case of such an urgent need for funding in high-income “non-OECD countries”, needs are met through more employment channels. In terms of financial participation, income level, education, gender and age differ between countries and they are significant variables.

Destekleyen Kurum

The study was not supported by any institution.

Proje Numarası

This Study was not supported by any project.

Kaynakça

  • Abdi, H., & Valentin, D. (2007). Multiple correspondence analysis. Encyclopedia of Measurement and Statistics,2, 651–657
  • Amidžic, G, Massara, M. A., & Mialou, A. (2014). Assessing countries’ financial inclusion standing-A new composite index (No. 14-36). International Monetary Fund.
  • Aslan, G., Deléchat, C., Newiak, M. M., & Yang, M. F. (2017). Inequality in financial inclusion and income inequality. Washington: International Monetary Fund.
  • Atkinson, A., & Messy, F. A. (2013). Promoting financial inclusion through financial education: OECD/INFE evidence, policies and practice.
  • Bateman, M., & Chang, H. J. (2012). Microfinance and the illusion of development: From hubris to nemesis in thirty years. World Economic Review, (1).
  • Beck, T., Demirguc-Kunt, A., & Martinez Peria, M. S. (2006). Banking services for everyone? Barriers to bank access and use around the world. The World Bank.
  • Beck, T., Demirguc-Kunt, A., & Honohan, P. (2008). Access to financial services: Measurement, impact and policies. The World Bank Research Observer. Doi: 10.1093/wbro/lkn008· Source: RePEc, 1-42.
  • Beh, E. J., & Lombardo, R. (2014). Correspondence analysis: theory, practice and new strategies. John Wiley & Sons.
  • Benzécri, J. P. (1992). Correspondence analysis handbook. CRC Press LLC.
  • Cano, C., Esguerra, M., García, N., Rueda, L., & Velasco, A. (2013). Acceso a Servicios financieros en Colombia. Borradores de Economía No. 776 2013. Banco de la República.
  • Clausen, S. E. (1998). Applied correspondence analysis: An introduction (Vol. 121). Sage.
  • Claessens, S. (2006). Access to Financial Services: A Review of the Issues and Public Policy Objectives. The World Bank Research Observer,21(2), 207-240.
  • Davis, E. P. (2003). Comparing bear markets-1973 and 2000. National Institute Economic Review, 183(1), 78-89. Avaliable at https://www.ephilipdavis.com/davis-final.pdf
  • Demirguc-Kunt, A., & Klapper, L. (2012). Measuring financial inclusion: The global findex database. The World Bank.
  • Demirguc-Kunt, A., Klapper, L., Singer, D., Ansar, S., & Hess, J. (2018). The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution. The World Bank.
  • Dungey, M., Tchatoka, F. D., & Yanotti, M. B. (2018). Using multiple correspondence analysis for finance: A tool for assessing financial inclusion. International Review of Financial Analysis, 59, 212-222.
  • Fisher, R. A. (1940). The precision of discriminant functions. Annals of Eugenics, 10,422-429.
  • Fomum, T. A., & Jesse, A. M. (2017). Exploring the relationship between financial inclusion and assets accumulation in South Africa. International Journal of Social Economics.
  • Epstein, G. (2001). Financialization, rentier interests, and central bank policy. manuscript, Department of Economics, University of Massachusetts, Amherst, MA, December..
  • Greenacre, M., & Blasius, J. (Eds.). (2006). Multiple correspondence analysis and related methods. CRC press.
  • Greenacre, M. (2007). Correspondence Analysis in Practice, Chapman & Hall. CRC, Baton Rouge, Florida.
  • Gifi, A. (1990). Nonlinear multivariate analysis. John Wiley & Sons
  • Guttman, L. (1941). The quantification of a class of attributes: A theory and method of scale construction. In P. Horst (with collaboration of P. Wallin & L. Guttman) (Ed.), The prediction of personal adjustment (pp. 319-348). New York: Social Science Research Council.
  • Han, R., & Melecky, M. (2013). Financial inclusion for stability: Access to bank deposits and the deposit growth during the global financial crisis. Policy Research Working Paper, 6577. Washington: World Bank
  • Hirschfeld, H. O. (1935). A connection between correlation and contingency. In Proceedings of the Cambridge Philosophical Society (Vol. 31, No. 4, pp. 520-524).
  • Kempson, E., & Whyley, C. (1999). Kept Out or Opted Out? Understanding and Combating Financial Exclusion. Bristol: The Policy Press. [Online] Available at: http://www.bristol.ac.uk/media-library/sites/geography/migrated/documents/pfrc9902.pdf. Accessed 20 August 2020.
  • Koomson, I., Villano, R. A., & Hadley, D. (2020). Effect of financial inclusion on poverty and vulnerability to poverty: Evidence using a multidimensional measure of financial inclusion. Social Indicators Research, 1-27.
  • Kvangraven, I. H., & dos Santos, P. L. (2018). Financial Inclusion and Its Discontents. Private Debt Project. Viewed, 15. Le Roux, B., & Rouanet, H. (2010). Multiple correspondence analysis (Vol. 163). Sage.
  • Levine, R. (1997). Financial Development and Economic Growth: Views and Agenda. Journal of Economic Literature, 35(2), 688-726. Retrieved November 9, 2020, from http://www.jstor.org/stable/2729790
  • Leyshon, A., & Thrift, N. (1993). The restructuring of the UK financial services industry in the 1990s: a reversal of fortune?. Journal of Rural Studies, 9(3), 223-241.
  • Leyshon, A., & Thrift, N. (1995). Geographies of financial exclusion: financial abandonment in Britain and the United States. Transactions of the Institute of British Geographers, 312-341.
  • Mehrotra, A. N., & Yetman, J. (2015). Financial inclusion-issues for central banks. BIS Quarterly Review March.
  • Orhangazi, Ö. (2008). Financialization and the US Economy. Cheltenham: Edward Elgar Publishing.
  • Ozili, P. K. (2020). Financial inclusion research around the world: A review. In Forum for social economics (pp. 1-23). Routledge.
  • Palley, T. I. (2013). Financialization: what it is and why it matters. In Financialization (pp. 17-40). Palgrave Macmillan, London.
  • Pearce, D. (2011). Financial inclusion in the Middle East and North Africa: Analysis and roadmap recommendations. The World Bank.
  • Pearce, D., & Ortega, C. R. (2012). Financial inclusion strategies: reference framework (No. 78761, pp. 1-60). The World Bank.
  • Pena, X., Hoyo, C., & Tuesta, D. (2014). Determinants of financial inclusion in Mexico based on the 2012 National Financial Inclusion Survey (ENIF). Documento de Trabajo, (14/14).
  • Robinson, J. (1965). Essays in the theory of economic growth. Springer.
  • Sahay, R., Cihak, M., & N’Diaye, P. (2015a). Financial Inclusion: Can It Meet Multiple Macroeconomic Goals? International Monetary Fund.
  • Sahay, R., Čihák, M., N'Diaye, P., & Barajas, A. (2015b). Rethinking financial deepening: Stability and growth in emerging markets. Revista de Economía Institucional, 17(33), 73-107.
  • Sarma, M. (2008). Index of financial inclusion (No. 215). ICRIER Working Papers, Indian Council for Research on International Economic Relations
  • Sarma, M. (2012). Index of Financial Inclusion–A measure of financial sector inclusiveness. Centre for International Trade and Development, School of International Studies Working Paper Jawaharlal Nehru University. Delhi, India.
  • Sethi, D., & Acharya, D. (2018). Financial inclusion and economic growth linkage: Some cross country evidence. Journal of Financial Economic Policy.
  • Sharma, D. (2016). Nexus between financial inclusion and economic growth. Journal of financial economic policy.
  • Soederberg, S. (2013). Universalising financial inclusion and the securitisation of development. Third World Quarterly, 34(4), 593-612.
  • Stiglitz, J. E. (2001). Principles of financial regulation: a dynamic portfolio approach. The World Bank Research Observer, 16(1), 1-18.
  • Taylor, M. (2012). The Antinomies of ‘Financial Inclusion’: Debt, Distress and the Workings of I ndian Microfinance. Journal of Agrarian Change, 12(4), 601-610.
  • TEB, 2013, Availiable at https://www.teb.com.tr/upload/PDF/aile%20akademisi%20erisim%20endeksi%20raporu/foe_endeks_rapor_2013.pdf
  • TEB, 2018, Availiable at https://www.teb.com.tr/upload/PDF/TEB-FOE-Rapor-2018_website.pdf
  • Tenenhaus, M., & Young, F. W. (1985). An analysis and synthesis of multiple correspondence analysis, optimal scaling, dual scaling, homogeneity analysis and other methods for quantifying categorical multivariate data. Psychometrika, 50(1), 91-119.
  • Tepav. (2009). 2007-08 Küresel Finans Krizi ve Türkiye: Etkiler ve Öneriler, Politika Notu.
  • United Nations. (2017). World Economic and Social Survey 2013: Reflecting on Seventy Years of Development Policy Analysis. United Nations New York, NY
  • Wray, L. R. (2016). Minsky crisis. In Banking Crises (pp. 230-240). Palgrave Macmillan, London.
  • Yeldan, E. (2009). Kapitalizmin Yeniden Finansallaşması ve 2007/2008 Krizi: Türkiye Krizin Neresinde?. Çalışma ve Toplum, 1, 11-28.
  • Yıldız, H., & Çağlayan, T. (2016). Finansal Dışlama ve Sosyal Dışlama Olgusu: Çoklu Uyum Analizi (MCA) Modeli İle Analiz. Social & Economic Dynamics of Development: Case Studies, 27.
Toplam 56 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Ana Bölüm
Yazarlar

Nihan Öksüz Narinç 0000-0001-7650-0085

Mehmet Nefi Aktan 0000-0001-6942-3165

Proje Numarası This Study was not supported by any project.
Yayımlanma Tarihi 27 Nisan 2022
Yayımlandığı Sayı Yıl 2022 Cilt: 24 Sayı: 1

Kaynak Göster

APA Öksüz Narinç, N., & Aktan, M. N. (2022). Comparison of Financial Inclusion and Income Between Countries with Multiple Correspondence Analysis. Ankara Hacı Bayram Veli Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 24(1), 230-259.