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All Journal International Journal of Economics, Business and Accounting Research (IJEBAR) International Journal of Social Science, Education, Communication and Economics
Rusiadi Rusiadi
Universitas Pembangunan Panca Budi, Indonesia
Religion Arts Humanities Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Testing the Philips Curve Model Based on Financial Technology and Macroprudential Policy in ASEAN Countries with the Highest Unemployment Rate Nurul Syahfia; Lia Nazliana Nasution; Rusiadi Rusiadi
International Journal of Social Science, Education, Communication and Economics (SINOMICS Journal) Vol. 4 No. 5 (2025): December
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/sj.v4i5.386

Abstract

Financial technology integration can influence unemployment rates in various ways, such as expanding access to the labor market through online platforms, creating new jobs within the financial technology sector itself, or increasing labor market efficiency through technologies such as job matching platforms. Macroprudential policy refers to the steps taken by financial authorities to manage systemic risks in the financial sector. In the context of the Phillips curve, these policies can have a direct or indirect effect on the unemployment rate through their influence on financial system stability and economic growth. In relation to ASEAN countries with the highest unemployment rates, testing this model will pay attention to structural, demographic and economic differences between these countries. These factors will influence how financial technology and macroprudential policy interact with the unemployment rate in each country. The results of this test provide valuable insights for policymakers in ASEAN countries with high unemployment rates. They can use this information to design more effective policies in promoting economic growth and reducing unemployment rates through the appropriate application of financial technology and macroprudential policies.
GREEN GROWTH AND GREEN INFLATION-BASED MODEL IN 5G-20 COUNTRIES Fachrial Djannah Rosadi; Rusiadi Rusiadi
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 8 No 1 (2024): IJEBAR : Vol. 8, Issue 1, March 2024
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v8i1.12603

Abstract

Promoting environmentally friendly economic growth, is practically crucial, as environmentally friendly economic growth and sustainable development complement each other. This research aims to build a panel model based on green growth and green inflation. The study uses secondary data with variables including green growth, green credit, green inflation, green bonds, green trade, macroprudential policies, green sustainable development, and green finance from January 2020 to December 2022. The objective is to develop prediction models using the Autoregressive Distributed Lag (ARDL) methodology. Panel ARDL combines autoregressive and distributed lag techniques, considering the time factor. The research findings reveal that overall, the leading indicator variable for green growth in the long run is green finance, while in the short run, there are two leading indicator variables: green finance and green inflation. Keywords: Green Inflation, Green Finance, Green Growth.
Co-Authors Fachrial Djannah Rosadi Lia Nazliana Nasution Nurul Syahfia