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
Macro economic fluctuation and Indonesian demographic symptom are the cause of the growth slowdowns. Global ecomomic downturn brings impact on domestic economi, both for developing country and developed country, as well as indonesia. Furthermore, the condition of indonesian demographic profile that tend to incrise is also affecting the slowing down for the economy. This research aims to find correlation beetwen macro economic and demographic variabel and their contribution for the economic slowdown, as well as to see the longrun relationship beetwen GDP percapita performance and demographic profile. In order to answer the question, a regression analysis is used. In addition, OLS method and cointegration test by using johantion test is applied. Result of the estimation shows that demographioc variabel is causing Indonesian economic slowdowns. However, other Indonesian demographic profiles such as dependency ratio and life expectation, in the longrun, positively contributed to Indonesia economy. This result supports the indonesia demographic projection that explain whithin year 2020-2030 indoonesia will enjoy demographic bonus in which give great contrib tion for the Indonesian economy.
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