Araştırma Makalesi
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Finansal Tabana Yayılmanın Belirleyicileri: Farklı Gelir Grubundaki Ülkeler İçin Bir Uygulama

Yıl 2022, Cilt: 13 Sayı: 3, 1176 - 1197, 17.10.2022

Öz

Bu çalışmanın amacı dünya genelinde farklı gelir seviyelerinde bulunan ekonomiler için finansal tabana yayılmaya etki eden makro faktörleri belirlemektir. Makro faktörlerin finansal tabana yayılma üzerindeki etkisi 2010-2018 dönemi için panel regresyon analizi ile yüksek gelirli, üst-orta gelirli ve alt-orta gelirli ekonomiler için oluşturulan finansal erişim endeksi, finansal kullanım endeksi ve finansal tabana yayılma endeksi aracılığıyla araştırılmıştır. Elde edilen bulgular yüksek gelirli ekonomiler için kişi başına GSYİH’deki ve internet kullanan bireylerin oranındaki artışın finansal tabana yayılmayı olumlu etkilediğini göstermiştir. Üst-orta gelirli ekonomilerde internet kullanan bireylerin oranındaki ve mobil aboneliğe sahip olan bireylerin oranındaki artış finansal tabana yayılmayı artırmaktadır. Alt-orta gelirli ekonomiler için internet kullanan bireylerin oranındaki, mobil aboneliğe sahip olan bireylerin oranındaki, kişi başına GSYİH’deki ve nüfus artış hızındaki artışın finansal tabana yayılma üzerindeki olumlu etkisi belirlenmiştir. Enflasyonun üst-orta gelirli ve alt-orta gelirli ekonomilerde finansal tabana yayılmayı olumsuz etkilediği de belirlenmiştir.

Kaynakça

  • AFI (2021). Global Policy Leadership Alliance. [Available online at: https://www.afi-global.org/about/], Retrieved on February 04,2021.
  • Agyemang-Badu, A. A., Agyei, K. & Kwaku Duah, E. (2018). Financial inclusion, poverty and income inequality: Evidence from Africa. Spiritan International Journal of Poverty Studies, 2(2), 1-19.
  • Ahamed, M. M. & Mallick, S. K. (2019). Is financial inclusion good for bank stability? International evidence. Journal of Economic Behavior & Organization, 157, 403-427.
  • Arellano, M. (1987). Computing robust standard errors for within-groups estimators. Oxford bulletin of Economics and Statistics, 49(4), 431-434.
  • Arora, R. U. (2014). Access to finance: an empirical analysis. The European Journal of Development Research, 26(5), 798-814.
  • Baltagi, B. H. & Wu, P. X. (1999). Unequally spaced panel data regressions with AR (1) disturbances. Econometric Theory, 15, 814-823.
  • Bhargava, A., Franzini, L. & Narendranathan, W. (1982). Serial correlation and the fixed effects model. The Review of Economic Studies, 49(4), 533-549.
  • Bozkurt, İ., Karakuş, R. & Yıldız, M. (2018). Spatial Determinants of Financial Inclusion over Time. Journal of International Development, 30(8), 1474-1504.
  • Bozkurt, İ. & Karakuş, R. (2020). Provincial Financial Inclusion in Turkey: Measurement and Its Spatial Determinants. Ege Academic Review, 20(2), 101-124.
  • Brown, M. B. & Forsythe, A. B. (1974). The small sample behavior of some statistics which test the equality of several means. Technometrics, 16(1), 129-132.
  • 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.
  • Claessens, S., Honohan, P., & Rojas-Suarez, L. (2009). Policy Principles for Expanding Financial Access. Report of the CGD Task Force on Access to Financial Services. [Available online at: https://www.cgdev.org/sites/ 14 of 15 RAY ET AL. default/files/1422882_file_Financial_Access_Task_Force_Report_ FINAL.pdf], Retrieved on November 12, 2020.
  • Dabla-Norris, E., Kochhar, K., Suphaphiphat, N., Ricka, F., & Tsounta. E. (2015). Causes and Consequences of Income Inequality: a Global Perspective. IMF Staff Discussion Notes 15/13.
  • Dabla-Norris, M. E., Ji, Y., Townsend, R., & Unsal, D. F. (2015). Identifying Constraints to Financial Inclusion and Their Impact on GDP and Inequality: A Structural Framework for Policy. IMF Working Paper 15/22, Washington: International Monetary Fund.
  • Datta, S. K., & Singh, K. (2019). Variation and determinants of financial inclusion and their association with human development: A cross-country analysis. IIMB Management Review, 31(4), 336-349.
  • Duvendack, M., & Mader, P. (2020). Impact of financial inclusion in low‐and middle‐income countries: A systematic review of reviews. Journal of Economic Surveys, 34(3), 594-629.
  • Dünya Bankası (2008). Finance for All? Policies and Pitfalls in Expanding Access. Washington, D.C.:World Bank Policy Research Report.
  • Dünya Bankası (2021). Financial Inclusion. [Available online at: https://www.worldbank.org/en/topic/financialinclusion], Retrieved on February 02, 2021.
  • Eicker, F. (1967). Limit Theorems for Regressions with Unequal and Dependent Errors. (Ed. L. M. LeCam and J. Neyman) Proc. 5th Berkeley Symp. Mathematical Statistics and Probability, 59-82, Berkeley: University of California Press.
  • El Bourainy, M., Salah, A., & El Sherif, M. (2021). Assessing the Impact of Financial Inclusion on Inflation Rate in Developing Countries. Open Journal of Social Sciences, 9(1), 397-424.
  • Evans, O. & Adeoye, B. (2016). The Determinants of Financial Inclusion in Africa: A Dynamic Panel Data Approach. University of Mauritius Research Journal, 22, 310-336.
  • Evans, O. & Alenoghena, O. R. (2017). Financial inclusion and GDP per capita in Africa: A Bayesian VAR model. Journal of Economics & Sustainable Development, 8(18), 44-57.
  • Finansal İstikrar Komitesi (2014). Finansal Erişim, Finansal Eğitim, Finansal Tüketicinin Korunması Stratejisi ve Eylem Planları. [Çevrim-içi: https://tkbb.org.tr/Documents/Yonetmelikler/Finansal-Egitim-Strateji-ve-Eylem-Planlari.pdf], Erişim tarihi:10.12.2020.
  • Frees, E. W. (1995). Assessing cross-sectional correlation in panel data. Journal of Econometrics, 69(2), 393-414.
  • Frees, E. W. (2004). Longitudinal and panel data: analysis and applications in the social sciences. Cambridge: Cambridge University Press.
  • Froot, K. A. (1989). Consistent covariance matrix estimation with cross-sectional dependence and heteroskedasticity in financial data. Journal of Financial and Quantitative Analysis, 24, 333-355.
  • George, B. & Thomachan, K. T. (2018). Financial inclusion and women empowerment: A gender perspective. International Journal of Research-GRANTHAALAYAH, 6(5), 229-237.
  • GPFI (2011). G20 Principles for Innovative Financial Inclusion. [Available online at: https://www.gpfi.org/sites/gpfi/files/documents/G20%20Principles%20for%20Innovative%20Financial%20Inclusion%20-%20AFI%20brochure.pdf], Retrieved on November 15, 2020.
  • GPFI (2021). About GPFI. [Available online at: https://www.gpfi.org/about-gpfi], Retrieved on January 02, 2021. Greene, W. H. (2000). Econometric analysis. New Jersey: Prentice Hall.
  • G20 (2010a). The G20 Seoul Summit Leaders’ Declaration November 11 – 12. [Available online at: https://www.consilium.europa.eu/uedocs/cms_data/docs/press data/en/er/117705.pdf], Retrieved on October 01, 2020.
  • G20 (2010b). Multi-Year Action Plan on Development. [Available online at: http://www.g20.utoronto.ca/2010/g20seoul-consensus.pdf], Retrieved on October 01, 2020.
  • Hausman, J. (1979). Specification Tests in Econometrics. Econometrica, 46(6), 1251–1271.
  • Hausman, J. & Taylor, W. (1981). Panel Data and Unobservable Individual Effects. Econometrica, 49(6), 1377–1397.
  • Huber, P. J. (1967). The behaviour of maximum likelihood estimates under non-standard conditions. (Ed. L. M. LeCam and J. Neyman) Proc. 5th Berkeley Symp. Mathematical Statistics and Probability, 221–233, Berkeley: University of California Press.
  • Im, K., Pesaran, H., & Shin, Y. (2003). Testing for unit roots in heterogenous panels. Journal of Econometrics, 115, 53–74.
  • Karabulut, R. ve Şeker, K. (2018). Belirlenmiş değişkenlerin vergi gelirleri üzerindeki etkisi: çoklu doğrusal regresyon analizi. Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 23(3), 1049-1070.
  • Kim, D. W., Yu, J. S., & Hassan, M. K. (2018). Financial inclusion and economic growth in OIC countries. Research in International Business and Finance, 43, 1-14.
  • Kim, J-H (2016). A study on the effect of financial Inclusion on the relationship between income inequality and economic growth. Emerging Markets Finance and Trade, 52(2), 498-512.
  • Korynski, P., & Pytkowska, J. (2016). Measuring financial inclusion in the EU: Financial inclusion score approach. Warsaw Microfinance Centre Working Paper.
  • Levene, H. (1960). Robust tests for equality of variances. In I. Olkin, S.G. Ghurye, W. Hoeffding, W.G. Madow & H.B. Mann (Edt.) Contributions to probability and statistics. Essays in honor of Harold Hotelling ( pp. 278-292). Stanford, Carolina: Stanford University Press.
  • Matekenya, W., Moyo, C., & Jeke, L. (2020). Financial Inclusion and Human Development: Evidence from Sub-Saharan Africa. Development Southern Africa, doi: 10.1080/0376835X.2020.1799760.
  • Mehrotra, A. N., & Yetman, J. (2015). Financial inclusion-issues for central banks. BIS Quarterly Review, March 2015.
  • Neaime, S., & Gaysset, I. (2018). Financial inclusion and stability in MENA: Evidence from poverty and inequality. Finance Research Letters, 24, 230-237.
  • Omokanmi, O. J., & Ogunleye, E. O. (2020). Financial Inclusion and Human Development in Sub-Saharan Africa. IOSR Journal of Economics and Finance, 11(1), 1-9.
  • Özhan, A. C. (2018). Financial Inclusion and Its Impact on Growth and Inequality: Focusing on Europe and Central Asia (ECA). Yayımlanmamış Doktora Tezi. Bahçeşehir Üniversitesi, Sosyal Bilimler Enstitüsü, İstanbul.
  • Park, C., & Mercado, Jr. R. V. (2015). Financial Inclusion, Poverty, and Income Inequality in Developing Asia. ADB Economics Working Paper Series No. 426.
  • Patwardhan, A. (2018). Financial Inclusion in the Digital Age. In David Lee Kuo Chuen, Robert Deng (Edt.), Handbook of Blockchain, Digital Finance and Inclusion (pp. 57-89), Academic Press.
  • Pesaran, H. (2004). General diagnostic tests for cross section dependence in panels. University of Cambridge Working Paper No: 0435.
  • Pesaran, M. H. (2007). A Simple Panel Unit Root Test in the Presence of Cross-Section Dependence. Journal of Applied Econometrics, 22(2), 265-312.
  • Raza, M.S., Tang, J., Rubab, S., & Wen, X. (2019). Determining the nexus between financial inclusion and economic development in Pakistan. Journal of Money Laundering Control, 22(2), 195-209.
  • Rogers, W.H. (1993). Regression Standard Errors in Clustered Samples. Stata Technical Bulletin, 13, 19-23.
  • Rojas-Suarez, L. (2016). Financial Inclusion in Latin America. Facts, obstacles, and Central Banks' policy issues. Discussion Paper IDB-DP-464, Washington, D.C.: InterAmerican Development Bank.
  • Sarma, M. (2008). Index of Financial Inclusion. Indian Council for Research on International Economic Relations Working Paper No. 215.
  • Sarma, M. (2010). Discussion paper in economics: Index of financial inclusion. New Delhi: Centre for International Trade and Development.
  • Sarma, M. (2012). Index of Financial Inclusion – A Measure of Financial Sector Inclusiveness. HTW’s Competence Centre “Money, Trade, Finance and Development”. Working Paper No. 07/2012.
  • Sarma, M. & Pais, J. (2008). Financial inclusion and development: A cross country analysis. Annual Conference of the Human Development and Capability Association, New Delhi.
  • TCMB (2019). Finansal İstikrar Raporu Mayıs 2019. [Çevrim-içi: https://www.tcmb.gov.tr/wps/wcm/connect/14175780-cbce-43f1-ba5b-bef6bb911966/bolumV28.pdf?MOD=AJPERES&CACHEID=ROOTWORKSPACE-14175780-cbce-43f1-ba5b-bef6bb911966-mIcMc.n], Erişim tarihi:06.02.2021.
  • Wang, X., & Guan, J. (2017). Financial inclusion: measurement, spatial effects and influencing factors. Applied Economics, 49(18), 1751-1762.
  • White, H. (1980). A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica, 48, 817-838.
  • Yerdelen Tatoğlu, F. (2013). Panel veri ekonometrisi: Stata uygulamalı. İstanbul: Beta Yayınları.
  • Yorulmaz, R. (2018). An analysis of constructing global financial inclusion indices. Borsa Istanbul Review, 18(3), 248-258.
  • Zhang, Q., & Posso, A. (2019). Thinking inside the box: A closer look at financial inclusion and household income. The Journal of Development Studies, 55(7), 1616-1631.

Determinants of Financial Inclusion: An Application for Countries in Different Income Groups

Yıl 2022, Cilt: 13 Sayı: 3, 1176 - 1197, 17.10.2022

Öz

The aim of this study is to determine the macro factors affecting financial inclusion for economies with different income levels around the World. The effect of macro factors on financial inclusion is investigated by panel regression analysis for the period 2010-2018 for high-income, upper-middle-income and lower-middle-income economies through the financial access index, financial usage index and financial inclusion index created. The findings reveal that the increase in GDP per capita and the proportion of individuals using internet positively affect the financial inclusion for high-income economies. In upper-middle income economies, the increase in the proportion of individuals using the internet and the proportion of individuals with mobile subscription increases the financial inclusion. The positive effect of the increase in the ratio of individuals using the internet, the ratio of individuals with mobile subscription, per capita GDP and the population growth rate on the financial inclusion is determined for lower-middle income economies.

Kaynakça

  • AFI (2021). Global Policy Leadership Alliance. [Available online at: https://www.afi-global.org/about/], Retrieved on February 04,2021.
  • Agyemang-Badu, A. A., Agyei, K. & Kwaku Duah, E. (2018). Financial inclusion, poverty and income inequality: Evidence from Africa. Spiritan International Journal of Poverty Studies, 2(2), 1-19.
  • Ahamed, M. M. & Mallick, S. K. (2019). Is financial inclusion good for bank stability? International evidence. Journal of Economic Behavior & Organization, 157, 403-427.
  • Arellano, M. (1987). Computing robust standard errors for within-groups estimators. Oxford bulletin of Economics and Statistics, 49(4), 431-434.
  • Arora, R. U. (2014). Access to finance: an empirical analysis. The European Journal of Development Research, 26(5), 798-814.
  • Baltagi, B. H. & Wu, P. X. (1999). Unequally spaced panel data regressions with AR (1) disturbances. Econometric Theory, 15, 814-823.
  • Bhargava, A., Franzini, L. & Narendranathan, W. (1982). Serial correlation and the fixed effects model. The Review of Economic Studies, 49(4), 533-549.
  • Bozkurt, İ., Karakuş, R. & Yıldız, M. (2018). Spatial Determinants of Financial Inclusion over Time. Journal of International Development, 30(8), 1474-1504.
  • Bozkurt, İ. & Karakuş, R. (2020). Provincial Financial Inclusion in Turkey: Measurement and Its Spatial Determinants. Ege Academic Review, 20(2), 101-124.
  • Brown, M. B. & Forsythe, A. B. (1974). The small sample behavior of some statistics which test the equality of several means. Technometrics, 16(1), 129-132.
  • 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.
  • Claessens, S., Honohan, P., & Rojas-Suarez, L. (2009). Policy Principles for Expanding Financial Access. Report of the CGD Task Force on Access to Financial Services. [Available online at: https://www.cgdev.org/sites/ 14 of 15 RAY ET AL. default/files/1422882_file_Financial_Access_Task_Force_Report_ FINAL.pdf], Retrieved on November 12, 2020.
  • Dabla-Norris, E., Kochhar, K., Suphaphiphat, N., Ricka, F., & Tsounta. E. (2015). Causes and Consequences of Income Inequality: a Global Perspective. IMF Staff Discussion Notes 15/13.
  • Dabla-Norris, M. E., Ji, Y., Townsend, R., & Unsal, D. F. (2015). Identifying Constraints to Financial Inclusion and Their Impact on GDP and Inequality: A Structural Framework for Policy. IMF Working Paper 15/22, Washington: International Monetary Fund.
  • Datta, S. K., & Singh, K. (2019). Variation and determinants of financial inclusion and their association with human development: A cross-country analysis. IIMB Management Review, 31(4), 336-349.
  • Duvendack, M., & Mader, P. (2020). Impact of financial inclusion in low‐and middle‐income countries: A systematic review of reviews. Journal of Economic Surveys, 34(3), 594-629.
  • Dünya Bankası (2008). Finance for All? Policies and Pitfalls in Expanding Access. Washington, D.C.:World Bank Policy Research Report.
  • Dünya Bankası (2021). Financial Inclusion. [Available online at: https://www.worldbank.org/en/topic/financialinclusion], Retrieved on February 02, 2021.
  • Eicker, F. (1967). Limit Theorems for Regressions with Unequal and Dependent Errors. (Ed. L. M. LeCam and J. Neyman) Proc. 5th Berkeley Symp. Mathematical Statistics and Probability, 59-82, Berkeley: University of California Press.
  • El Bourainy, M., Salah, A., & El Sherif, M. (2021). Assessing the Impact of Financial Inclusion on Inflation Rate in Developing Countries. Open Journal of Social Sciences, 9(1), 397-424.
  • Evans, O. & Adeoye, B. (2016). The Determinants of Financial Inclusion in Africa: A Dynamic Panel Data Approach. University of Mauritius Research Journal, 22, 310-336.
  • Evans, O. & Alenoghena, O. R. (2017). Financial inclusion and GDP per capita in Africa: A Bayesian VAR model. Journal of Economics & Sustainable Development, 8(18), 44-57.
  • Finansal İstikrar Komitesi (2014). Finansal Erişim, Finansal Eğitim, Finansal Tüketicinin Korunması Stratejisi ve Eylem Planları. [Çevrim-içi: https://tkbb.org.tr/Documents/Yonetmelikler/Finansal-Egitim-Strateji-ve-Eylem-Planlari.pdf], Erişim tarihi:10.12.2020.
  • Frees, E. W. (1995). Assessing cross-sectional correlation in panel data. Journal of Econometrics, 69(2), 393-414.
  • Frees, E. W. (2004). Longitudinal and panel data: analysis and applications in the social sciences. Cambridge: Cambridge University Press.
  • Froot, K. A. (1989). Consistent covariance matrix estimation with cross-sectional dependence and heteroskedasticity in financial data. Journal of Financial and Quantitative Analysis, 24, 333-355.
  • George, B. & Thomachan, K. T. (2018). Financial inclusion and women empowerment: A gender perspective. International Journal of Research-GRANTHAALAYAH, 6(5), 229-237.
  • GPFI (2011). G20 Principles for Innovative Financial Inclusion. [Available online at: https://www.gpfi.org/sites/gpfi/files/documents/G20%20Principles%20for%20Innovative%20Financial%20Inclusion%20-%20AFI%20brochure.pdf], Retrieved on November 15, 2020.
  • GPFI (2021). About GPFI. [Available online at: https://www.gpfi.org/about-gpfi], Retrieved on January 02, 2021. Greene, W. H. (2000). Econometric analysis. New Jersey: Prentice Hall.
  • G20 (2010a). The G20 Seoul Summit Leaders’ Declaration November 11 – 12. [Available online at: https://www.consilium.europa.eu/uedocs/cms_data/docs/press data/en/er/117705.pdf], Retrieved on October 01, 2020.
  • G20 (2010b). Multi-Year Action Plan on Development. [Available online at: http://www.g20.utoronto.ca/2010/g20seoul-consensus.pdf], Retrieved on October 01, 2020.
  • Hausman, J. (1979). Specification Tests in Econometrics. Econometrica, 46(6), 1251–1271.
  • Hausman, J. & Taylor, W. (1981). Panel Data and Unobservable Individual Effects. Econometrica, 49(6), 1377–1397.
  • Huber, P. J. (1967). The behaviour of maximum likelihood estimates under non-standard conditions. (Ed. L. M. LeCam and J. Neyman) Proc. 5th Berkeley Symp. Mathematical Statistics and Probability, 221–233, Berkeley: University of California Press.
  • Im, K., Pesaran, H., & Shin, Y. (2003). Testing for unit roots in heterogenous panels. Journal of Econometrics, 115, 53–74.
  • Karabulut, R. ve Şeker, K. (2018). Belirlenmiş değişkenlerin vergi gelirleri üzerindeki etkisi: çoklu doğrusal regresyon analizi. Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 23(3), 1049-1070.
  • Kim, D. W., Yu, J. S., & Hassan, M. K. (2018). Financial inclusion and economic growth in OIC countries. Research in International Business and Finance, 43, 1-14.
  • Kim, J-H (2016). A study on the effect of financial Inclusion on the relationship between income inequality and economic growth. Emerging Markets Finance and Trade, 52(2), 498-512.
  • Korynski, P., & Pytkowska, J. (2016). Measuring financial inclusion in the EU: Financial inclusion score approach. Warsaw Microfinance Centre Working Paper.
  • Levene, H. (1960). Robust tests for equality of variances. In I. Olkin, S.G. Ghurye, W. Hoeffding, W.G. Madow & H.B. Mann (Edt.) Contributions to probability and statistics. Essays in honor of Harold Hotelling ( pp. 278-292). Stanford, Carolina: Stanford University Press.
  • Matekenya, W., Moyo, C., & Jeke, L. (2020). Financial Inclusion and Human Development: Evidence from Sub-Saharan Africa. Development Southern Africa, doi: 10.1080/0376835X.2020.1799760.
  • Mehrotra, A. N., & Yetman, J. (2015). Financial inclusion-issues for central banks. BIS Quarterly Review, March 2015.
  • Neaime, S., & Gaysset, I. (2018). Financial inclusion and stability in MENA: Evidence from poverty and inequality. Finance Research Letters, 24, 230-237.
  • Omokanmi, O. J., & Ogunleye, E. O. (2020). Financial Inclusion and Human Development in Sub-Saharan Africa. IOSR Journal of Economics and Finance, 11(1), 1-9.
  • Özhan, A. C. (2018). Financial Inclusion and Its Impact on Growth and Inequality: Focusing on Europe and Central Asia (ECA). Yayımlanmamış Doktora Tezi. Bahçeşehir Üniversitesi, Sosyal Bilimler Enstitüsü, İstanbul.
  • Park, C., & Mercado, Jr. R. V. (2015). Financial Inclusion, Poverty, and Income Inequality in Developing Asia. ADB Economics Working Paper Series No. 426.
  • Patwardhan, A. (2018). Financial Inclusion in the Digital Age. In David Lee Kuo Chuen, Robert Deng (Edt.), Handbook of Blockchain, Digital Finance and Inclusion (pp. 57-89), Academic Press.
  • Pesaran, H. (2004). General diagnostic tests for cross section dependence in panels. University of Cambridge Working Paper No: 0435.
  • Pesaran, M. H. (2007). A Simple Panel Unit Root Test in the Presence of Cross-Section Dependence. Journal of Applied Econometrics, 22(2), 265-312.
  • Raza, M.S., Tang, J., Rubab, S., & Wen, X. (2019). Determining the nexus between financial inclusion and economic development in Pakistan. Journal of Money Laundering Control, 22(2), 195-209.
  • Rogers, W.H. (1993). Regression Standard Errors in Clustered Samples. Stata Technical Bulletin, 13, 19-23.
  • Rojas-Suarez, L. (2016). Financial Inclusion in Latin America. Facts, obstacles, and Central Banks' policy issues. Discussion Paper IDB-DP-464, Washington, D.C.: InterAmerican Development Bank.
  • Sarma, M. (2008). Index of Financial Inclusion. Indian Council for Research on International Economic Relations Working Paper No. 215.
  • Sarma, M. (2010). Discussion paper in economics: Index of financial inclusion. New Delhi: Centre for International Trade and Development.
  • Sarma, M. (2012). Index of Financial Inclusion – A Measure of Financial Sector Inclusiveness. HTW’s Competence Centre “Money, Trade, Finance and Development”. Working Paper No. 07/2012.
  • Sarma, M. & Pais, J. (2008). Financial inclusion and development: A cross country analysis. Annual Conference of the Human Development and Capability Association, New Delhi.
  • TCMB (2019). Finansal İstikrar Raporu Mayıs 2019. [Çevrim-içi: https://www.tcmb.gov.tr/wps/wcm/connect/14175780-cbce-43f1-ba5b-bef6bb911966/bolumV28.pdf?MOD=AJPERES&CACHEID=ROOTWORKSPACE-14175780-cbce-43f1-ba5b-bef6bb911966-mIcMc.n], Erişim tarihi:06.02.2021.
  • Wang, X., & Guan, J. (2017). Financial inclusion: measurement, spatial effects and influencing factors. Applied Economics, 49(18), 1751-1762.
  • White, H. (1980). A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica, 48, 817-838.
  • Yerdelen Tatoğlu, F. (2013). Panel veri ekonometrisi: Stata uygulamalı. İstanbul: Beta Yayınları.
  • Yorulmaz, R. (2018). An analysis of constructing global financial inclusion indices. Borsa Istanbul Review, 18(3), 248-258.
  • Zhang, Q., & Posso, A. (2019). Thinking inside the box: A closer look at financial inclusion and household income. The Journal of Development Studies, 55(7), 1616-1631.
Toplam 62 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Makaleler
Yazarlar

Şeyma Yılmaz Küçük 0000-0002-1547-7122

İsrafil Zor 0000-0001-6073-7571

Yayımlanma Tarihi 17 Ekim 2022
Gönderilme Tarihi 12 Mayıs 2022
Yayımlandığı Sayı Yıl 2022 Cilt: 13 Sayı: 3

Kaynak Göster

APA Yılmaz Küçük, Ş., & Zor, İ. (2022). Finansal Tabana Yayılmanın Belirleyicileri: Farklı Gelir Grubundaki Ülkeler İçin Bir Uygulama. Gümüşhane Üniversitesi Sosyal Bilimler Dergisi, 13(3), 1176-1197. https://doi.org/10.36362/gumus.1115820