Abstract

Financial inclusion is a banking instrument that plays an important role in financial system stability through access and financial services. To improve financial performance, technology integration is now an interesting issue. This study aims to determine the role of fintech (financial technology) and other financial inclusion instruments such as MSME credit in influencing the stability of the Indonesian financial system. Error Correction Model (ECM) estimation is used to determine the long and short term effects through cointegration values ??between independent variables in influencing the dependent variable. The results of the analysis show that the number of bank branches has a significant long-term influence on financial stability through NPL performance, so direct investment directed at the banking sector also has a significant influence on financial system stability in the long run. However, fintech instruments such as ATMs and e-money have no significant effect on financial system stability. This condition was motivated by the limited reach of fintech development in the financial sector, especially for the unbankable community

Highlights

  • Financial inclusion is a banking instrument that plays an important role in the stability of the financial system through access and financial services

  • This study aims to determine the role of fintech (financial technology) and other financial inclusion instruments such as MSME credit in influencing the stability of Indonesia’s financial system

  • The results of the analysis show that the number of bank branches has a significant long-term effect on financial stability through NPL performance, direct investment directed at the banking sector also has a significant effect on the stability of the financial system in the long term

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Summary

Introduction

Financial inclusion is a banking instrument that plays an important role in the stability of the financial system through access and financial services. Hasil estimasi menunjukkan bahwa terdapat dua variabel yang berpengaruh signifkan terhadap NPL dalam jangka panjang yang ditunjukkan dengan adanya kointegrasi pada model penelitian sementara variabel inklusi diwakili jumlah layanan kantor keuangan yang menunjukkan nilai probabilistik kurang dari nilai alfa 10% yakni 0,063 < 0,1.

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