THE IMPACT OF FOREIGN DIRECT INVESTMENT ON FINANCIAL INCLUSION: AN EMPIRICAL INVESTIGATION

Abstract

Literatürde birçok çalışma, doğrudan yabancı yatırımın (DYY) farklı ülkelerin finansal gelişimi ve ekonomik büyümesi üzerindeki sonuçlarını ele almaktadır. Ancak DYY'nin finansal kapsayıcılık üzerindeki etkisinin yeterince çalışılmadığı ve henüz uygun bir ampirik çalışmada yer almadığı kabul edilmektedir. Bu nedenle, bu çalışmada doğrudan yabancı yatırımın (DYY) farklı kantillerine karşılık gelen finansal erişim üzerindeki etkisini, 2005-2016 döneminde maksimum 99 ülke için parametrik olmayan analiz yöntemi olan kantil regresyon analiz yöntemini Markov Zinciri Monte Carlo (MCMC) optimizasyonu ile kullanarak ampirik olarak araştırmaktadır. Bulgular, DYY’nin finansal içerme üzerindeki etkisinin, finansal içerme düzeyine bağlı olarak ülkeler arasında değişiklik gösterdiğini göstermektedir. Spesifik olarak, DYY'nin finansal kapsayıcılık ile tüm kantillerde pozitif ve istatistiksel olarak anlamlı bir ilişkisi olduğu tespit edilmiştir. Bu da DYY'nin düşük, orta veya yüksek düzeyde finansal kapsayıcılık olmasına bakılmaksızın finansal kapsayıcılığı arttırdığını göstermektedir. Çalışma, karar vericilerin finansal katılımın iyileştirilmesine yönelik politikalar geliştirirken DYY’ı dikkate almaları gerektiğini önermektedir.

Keywords

• Panel Kantil Regresyon
• Finansal Kapsayıcılık
• Doğrudan Yabancı Yatırımları
• MCMC Optimizasyon Yaklaşımı

DOĞRUDAN YABANCI YATIRIMLARIN FİNANSAL KAPSAYICILIK ÜZERİNE ETKİSİ ÜZERİNE AMPİRİK BİR ARAŞTIRMA

Abstract

Many studies discuss the result of foreign direct investment on the financial development and economic growth of different countries, but the FDI's effect on financial inclusion is considered understudied and not yet subjected to proper empirical evaluation. Therefore, this paper empirically examines the impact of foreign direct investment (FDI) on financial inclusion corresponding to its different quantiles for a maximum sample of 99 countries over the period 2005- 2016 by using the non-parametric analysis, namely the non-parametric quantile regression approach with Markov Chain Monte Carlo (MCMC) optimization that allows examining the impact of FDI on financial inclusion at a different level of financial inclusion. The results suggest that the impact of FDI on financial inclusion varies across countries based on the level of financial inclusion. Specifically, the FDI has a positive and statistically significant association with financial inclusion in all quantiles indicating that FDI does increase financial inclusion regardless of having low, medium, or high levels of financial inclusion. The study recommends that decision-makers need to consider FDI while developing policies for the improvement of financial inclusion.

Keywords

• Panel Quantile Regression
• Financial Inclusion
• Foreign Direct Investment
• MCMC) Optimization Approach

References

1. Alfaro, L. (2003). Foreign direct investment and growth: Does the sector matter. Harvard Business School, 2003, 1-31.
2. Anyangwe, T., Vanroose, A., & Fanta, A. (2022). Determinants of financial inclusion: does culture matter?. Cogent Economics & Finance, 10(1), 2073656.
3. Asmare, E., & Begashaw, A. (2018). Review on Parametric and Non-parametric Methods of Efficiency Analysis. Biostatistics and Bioinformatics, 2(2), 1–7.
4. Asongu, S. A., Iheonu, C. O., & Odo, K. O. (2019). The conditional relationship between renewable energy and environmental quality in sub-Saharan Africa. Environmental Science and Pollution Research, 26(36), 36993–37000. https://doi.org/10.1007/s11356-019-06846-9.
5. Baladevi, M., Nedumaran, G., & Manida, M. (2019). Impact of foreign direct investment in Indian banking sector. International Journal of Recent Technology and Engineering, 8(3 Special Issue), 250–253. https://doi.org/10.35940/ijrte.C1058.1083S19.
6. Blomström, M., Kokko, A., & Zejan, M. (2000). Foreign Direct Investment: Firm and Host Country Strategies. Palgrave MacMillan (p. 253). Palgrave.
7. Chernozhukov, V., & Hansen, C. (2008). Instrumental variable quantile regression: A robust inference approach. Journal of Econometrics, 142(1), 379–398. https://doi.org/10.1016/j.jeconom.2007.06.005.
8. Chernozhukov, V., & Hong, H. (2003). An MCMC approach to classical estimation. Journal of Econometrics, 115(2), 293–346. https://doi.org/10.1016/S0304-4076(03)00100-3.

9. Chipunza, K. J., & Fanta, A. (2022). Quality financial inclusion and its determinants in South Africa: evidence from survey data. African Journal of Economic and Management Studies, 13(2), 177-189.
10. Demirgüç-Kunt, A., Beck, T., & Honohan, P. (2008). Household Access to Finance: Poverty Alleviation and Risk Mitigation. Finance for All? Policies and Pitfalls in Expanding Access, 99–142.
11. Efobi, U., Beecroft, I., & Osabuohien, E. (2014). Access to and use of bank services in Nigeria: Micro-econometric evidence. Review of development finance, 4(2), 104-114.
12. Hettmansperger, T.P. and McKean, J.W. (2011), Robust Nonparametric Statistical Methods, 2nd ed., CRC Press (accessed 26 September 2021).; Jureckova et al., 2012 Jurečková, J., Sen, P. K., & Picek, J. (2012). Methodology in robust and non-parametric statistics. CRC Press. doi: 10.1201/b12681.
13. Huang, Q., Zhang, H., Chen, J., & He, M. (2017). Quantile Regression Models and Their Applications: A Review. Journal of Biometrics & Biostatistics, 08(03). https://doi.org/10.4172/2155-6180.1000354.
14. IMF, World Bank, OECD and EBRD (1991). A study of the Soviet economy. OECD, Paris.
15. Kalirajan, K., Miankhel, A. K., & Thangavelu, S. M. (2009). Foreign direct investment, exports, and economic growth in selected emerging countries: Multivariate VAR analysis. Exports, and Economic Growth in Selected Emerging Countries: Multivariate VAR Analysis (December 20, 2009).
16. Koenker, R. (2004). Quantile regression for longitudinal data. Journal of Multivariate Analysis, 91(1), 74–89. https://doi.org/10.1016/j.jmva.2004.05.006.
17. Koenker, R., Bassett, G., & Jan, N. (1978). Regression Quantiles Roger Koenker; Gilbert Bassett, Jr. Econornetrica, 46(1), 33–50.
18. Ledhem, M. A., & Mekidiche, M. (2021). Islamic finance and economic growth nexus: an empirical evidence from Southeast Asia using dynamic panel one-step system GMM analysis. Journal of Islamic Accounting and Business Research, 12(8), 1165–1180. https://doi.org/10.1108/JIABR-03-2021-0107.
19. Magnus, F.J. and O.-A.E. Fosu (2008) Bivariate Causality Analysis between FDI Inflows and Economic Growth in Ghana. International Research Journal of Finance and Economics 15: 103- 112.)
20. Makki, S.S. and Somwaru, A. (2004), "Impact of foreign direct investment and trade on economic growth: evidence from developing countries", American Journal of Agricultural Economics, Vol. 86 No. 3, pp. 795-801.
21. Meyer, K. E. (2001). International business research on transition economies. In The Oxford handbook of international business (pp. 716-759).
22. Motta, V., & Gonzalez Farias, L. E. (2022). Determinants of financial inclusion in Latin America and the Caribbean. Development in Practice, 32(8), 1063-1077.
23. Odugbesan, J. A., Ike, G., Olowu, G., & Adeleye, B. N. (2020). Investigating the causality between financial inclusion, financial development and sustainable development in Sub-Saharan Africa economies: The mediating role of foreign direct investment. Journal of Public Affairs. https://doi.org/10.1002/pa.2569.
24. OECD (2002). Foreign Direct Investment for Development-Maximising Benefits, Minimising Costs. Direct, 1–34. https://doi.org/10.1787/9789264174139-en.
25. OECD (Organisation for Economic Co-operation and Development) (2008) Benchmark definition of foreign direct investment, 4th ed. OECD, Paris. Retrieved from: https://www.oecd.org/daf/inv/investmentstatisticsandanalysis/40193734.pdf
26. Osode, O. E., Iheonu, C. O., & Dauda, R. (2020). On the relationship between globalization and income inequality: Does institution matter? Journal of Public Affairs, 22(2). https://doi.org/10.1002/pa.2433.
27. Oteng-Ababio, M., Owusu, G., Wrigley-Asante, C., & Owusu, A. (2016). Longitudinal analysis of trends and patterns of crime in Ghana (1980–2010): a new perspective. African Geographical Review, 35(3), 193–211. https://doi.org/10.1080/19376812.2016.1208768.
28. Ponomareva, M. (2010). Quantile regression for panel data models with fixed effects and small T: Identification and estimation. University of Western Ontario.
29. Powell, D. (2014). Did the economic stimulus payments of 2008 reduce labor supply? Evidence from quantile panel data estimation (RAND Labor and Population Working Paper 710–3).
30. Powell, D. (2017), "Quantile treatment effects in the presence of covariates", available at: https://works. bepress.com/david_powell/4/ (accessed 27 February 2020).
31. Sarma, M. (2008). Index of Financial Inclusion. Indian Council for Research on International Economic Relations Working Paper No. 215.
32. Singh, A. (2017). 1. IJBGM - Role of Technology in Financial Inclusion. International Journal of Business and General Management, 6(5), 1–6. Retrieved from www.iaset.us
33. Solow, R.M. (1956), "A contribution to the theory of economic growth", Quarterly Journal of Economics, Vol. 70 No. 1, pp. 65-94.
34. Ullah, A. (Ed.), (1989) Semiparametric and Non-parametric Econometrics, Physica-Verlag Heidelberg. https://doi.org/10.1007/BF01972443.
35. Waldmann, E. (2018). Quantile regression: A short story on how and why. Statistical Modelling, 18(3–4), 203–218. https://doi.org/10.1177/1471082X18759142.
36. World Bank. 2011. The Global Financial Inclusion Database. http://econ. worldbank.org/research (accessed 31 July 2014).
37. Xue, W., & Zhang, L. (2019). Revisiting the asymmetric effects of bank credit on the business cycle: A panel quantile regression approach. Journal of Economic Asymmetries, 20. https://doi.org/10.1016/j.jeca.2019.e00122
38. Zaman, K., Shah, I. A., Mushtaq Khan, M., & Ahmad, M. (2012). Macroeconomic factors determining FDI impact on Pakistan's growth. South Asian Journal of Global Business Research, 1(1), 79-95.
39. Zins, A., & Weill, L. (2016). The determinants of financial inclusion in Africa. Review of development finance, 6(1), 46-57.