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The Effectiveness Of A Mixed Economic Model In Controlling The Financial System In 7 Emerging Market Countries Audre Aprillia; Winsi Fadiah Putri; Nurul Syahfia; Rusiadi Rusiadi; Diwayana Putri Nasution; Bakhtiar Efendi; Lia Nazliana Nasution
International Journal of Economics, Commerce, and Management Vol. 1 No. 2 (2024): April : International Journal of Economics, Commerce, and Management
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijecm.v1i3.100

Abstract

This research aims to analyze the effectiveness of the mixed economic model in controlling financial system stability in 7 emerging market countries. Where the monetary policy variables are the money supply and interest rates. Then the microprudential variables are Return On Equity and Return On Assets, the macroprudential variables are Capital Adequacy Ratio and Non Performing Loans. The financial system stability variables are the inflation level and exchange rate. The data analysis model in this research is the Simultaneous model. This research uses secondary data or time series, namely from 2019 to 2023. This analysis is significant for controlling the financial system by ensuring the data meets normality assumptions through the Jarque-Bera test, which allows for more precise financial planning and risk management decisions. The absence of autocorrelation effects, as proven in the residual test, also strengthens the reliability of the model in understanding market trends. The Two-Stage Least Squares method in simultaneous regression analysis provides in-depth insight into the relationship between economic variables such as the inflation rate and the exchange rate, supporting effective economic policy making. Understanding the elasticity of key variables to the inflation rate and exchange rate is also important for optimizing risk control strategies and financial resource allocation.
Analysis Of The Influence Of Port Export And Import Volume On Economic Growth In North Sumatera And West Sumatera Provinces Nuri Rahayu Ningsih; Andria Zulfa; Bakhtiar Efendi; Lia Nazliana Nasution; Rusiadi Rusiadi
International Journal of Economics, Commerce, and Management Vol. 1 No. 4 (2024): October : International Journal of Economics, Commerce, and Management
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijecm.v1i4.276

Abstract

Using a quantitative approach, this study investigates the effect of port export and import volumes on economic growth in North Sumatra and West Sumatra Provinces. Time series data from the World Bank and the Central Statistics Agency (BPS) from 2006 to 2023 are used as secondary data. The analysis uses the ARDL Panel model, which allows for analysis of data dynamics across time and regions. The results show that the three main indicators that affect economic growth (GRDP) in both provinces, both in the short and long term, are export volume, inflation, and exchange rates. In North Sumatra, export volume has a positive impact on GRDP, while import volume has a negative impact, indicating a risk of dependence on imports. Controlled inflation also has a positive impact, while the exchange rate shows a diversion. Policy recommendations are expected to improve global competitiveness and exchange rate stability through coordination of fiscal and monetary policies, support for the Export Capacity Building Program and MSMEs through the Regional Comprehensive Economic Framework (RCEP), and export diversification to reduce dependence on certain commodities. This study emphasizes that policies that are responsive to changes in trade at the national to international levels are an important foundation for stabilizing sustainable economic growth.
Financial Inclusion and Income Improvement of UMKM in Indonesia: An Analysis Lia Nazliana Nasution; Bakhtiar Efendi; Rizkil Khoir
Proceeding of The International Conference on Business and Economics Vol. 2 No. 2 (2024): Proceeding of The International Conference on Business and Economics
Publisher : Universitas 17 Agustus 1945 Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56444/icbeuntagsmg.v2i2.2160

Abstract

The aim of this study is to analyze the simultaneous effects of financial inclusion, financial literacy, MSME investment, and unemployment on MSME income and the unemployment rate in Indonesia. We used a simultaneous equation method with the observed variables being financial literacy, financial inclusion, the number of MSMEs, MSME labor, MSME investment, MSME income, and unemployment. The data used is secondary data covering the period from 2011 to 2022. The results show that the variables of financial inclusion, financial literacy, MSME investment, and unemployment have a significant partial and simultaneous effect on MSME income. From the equation, financial inclusion, financial literacy, and MSME investment have a positive effect on MSME income, while unemployment has a negative effect on MSME income. Furthermore, the variables of the number of MSMEs, MSME labor, and MSME income have a significant partial and simultaneous effect on unemployment. From the equation, the number of MSMEs, MSME labor, and MSME income have a negative effect on unemployment.
Ketidaksiapan Pasar Tenaga Kerja dalam Menghadapi Era Ekonomi Digital di Indonesia Kardina Siregar; Lia Nazliana Nasution; Bakhtiar Efendi
MUQADDIMAH: Jurnal Ekonomi, Manajemen, Akuntansi dan Bisnis Vol. 3 No. 1 (2025): Jurnal Ekonomi, Manajemen, Akuntansi dan Bisnis
Publisher : Sekolah Tinggi Ilmu Syariah Nurul Qarnain Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59246/muqaddimah.v3i1.1176

Abstract

This study was conducted in Indonesia with the aim of determining the unpreparedness of the labor market in facing the digitalization era using the Vector Auto Regression (VAR) analysis method with a time series study for 19 (Nineteen) years. There are five variables used, namely e-commerce, economic growth, inflation, unemployment and labor with data obtained from the World Bank. The results of the VAR analysis using the lag 2 basis, the vector autoregression analysis shows the contribution of each variable to the variable itself and other variables. In addition, the results of the vector autoregression analysis also show that the past variable (t-1) contributes to the current variable both to the variable itself and to other variables. The results of the analysis show that there is a reciprocal relationship between the variables. The Response Function Analysis shows whether there are other variables that respond to changes in one variable in the short, medium, or long term. In addition, it is known that the stability of all variables appears for five years or the medium and long term. Variable Decomposition Analysis shows that variables such as ECO, INF, and GDP make the greatest contribution to the variable itself both in the short, medium and long term. In contrast, PG and TK are the other variables that have the greatest influence on the variable itself, with ECO and INF being the most influenced.
Transformasi Digital Ekonomi dalam Mendukung Inklusi Keuangan di Indonesia Muhammad Fauzan Pratama; Bakhtiar Efendi; Lia Nazliana Nasution
MUQADDIMAH: Jurnal Ekonomi, Manajemen, Akuntansi dan Bisnis Vol. 3 No. 1 (2025): Jurnal Ekonomi, Manajemen, Akuntansi dan Bisnis
Publisher : Sekolah Tinggi Ilmu Syariah Nurul Qarnain Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59246/muqaddimah.v3i1.1184

Abstract

The digital economy plays an important role in promoting financial inclusion by providing wider, more efficient and affordable access to financial services through technology. The digital economy not only includes internet users and fintech but also places importance on sustainability to increase economic growth and reduce inflation in a country. These principles are the purpose of the research to form a strong basis for building an economic model that not only provides short, medium and long term benefits for the people and country of Indonesia. VAR (Vector Autoregression) in the context of econometric analysis is a statistical method used to model the relationship between several time-series variables in the research conducted. The VAR analysis shows that the VAR estimation results highlight the contribution of digital economy variables in measuring financial inclusion. Economic growth is mainly influenced by economic growth itself and savings, showing a significant impact of economic growth and savings. Internet users in the short term are influenced by internet users themselves but in the medium and long term are influenced by fintech as well as fintech variables. For inflation variables in the short and medium term, inflation itself is influenced and in the long term it is influenced by internet users. In the next variable, namely savings in the short and medium term, the biggest influence is inflation then internet users. IRF analysis reveals the response of variables to change and the importance of response stability in the short, medium and long term. In the digital transformation of the economy, that internet users and fintech are the main pillars in realizing digitalization in building financial inclusion but also have an impact on economic growth, savings and ultimately have an impact on inflation. The digital transformation of the economy has a significant impact on financial inclusion, providing a strong basis for digitized or modern economic policies. VAR analysis in IRF and FEVD tests helps reveal the complex interactions between digital economy variables providing valuable insights for effective and sustainable policy formulation.
Analisis Tantangan dan Peluang Ekonomi Digital dalam Mendorong Pertumbuhan Ekonomi Berkelanjutan di Indonesia Sabilayana Sabilayana; Andria Zulfa; Lia Nazliana Nasution
MUQADDIMAH: Jurnal Ekonomi, Manajemen, Akuntansi dan Bisnis Vol. 3 No. 1 (2025): Jurnal Ekonomi, Manajemen, Akuntansi dan Bisnis
Publisher : Sekolah Tinggi Ilmu Syariah Nurul Qarnain Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59246/muqaddimah.v3i1.1185

Abstract

The digital economy plays a crucial role in driving global economic growth, including in Indonesia. However, the rapid development of digital technology also presents challenges, such as thei digital divide and uneven infrastructure. This study aimsi to analyze the impact of thei digital economy on Indonesia's economic growth using the Autoregressivei Distributed Lag (ARDL) model. The analysis results show that the Digital Divide and Digital Skills havei a negativei impact on Gross Domestic Product (GDP) in the short term, while Internet Penetration and E-commerce have a positive but insignificant impact. In the long term, these variables do not significantlyi affect GDP. These findings indicatei that although digital technology has potential, its impact is limited by factors such as unequal infrastructure access and low digital skills. Thei government needs to strengthen digital infrastructure, digital skills, and e-commerce adoption, particularly in the Small and Medium Enterprises (SMEs) sector.
Model Green Economy Index dalam Mengukur Transformasi Pembangunan Berkelanjutan di Indonesia Rizka Fadillah; Andria Zulfa; Rusiadi Rusiadi; Bakhtiar Efendi; Lia Nazliana Nasution
MUQADDIMAH: Jurnal Ekonomi, Manajemen, Akuntansi dan Bisnis Vol. 3 No. 1 (2025): Jurnal Ekonomi, Manajemen, Akuntansi dan Bisnis
Publisher : Sekolah Tinggi Ilmu Syariah Nurul Qarnain Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59246/muqaddimah.v3i1.1186

Abstract

The Green Economy Index is an economic concept that prioritizes a sustainable economy and has a correlation to sustainable development. Green Economy not only includes aspects of economic growth but also places the importance of environmental sustainability, social empowerment as the first foundation. This aspect is the purpose of the research to form a strong basis in building an economic model that not only provides short, medium and long term benefits for society and the environment but can continue sustainable development in Indonesia. VAR (Vector Auto Regression) in the context of econometric analysis is a statistical method used to model the relationship between several variables using time series data. The analysis shows that the estimation results highlight that the contribution of Green Economy Index variables in measuring sustainable development transformation on economic growth variables is mainly influenced by energy consumption and carbon emissions, showing a significant impact of energy consumption and carbon emissions. Green investment in the short and medium term has the greatest influence by green investment itself, but in the long term the effect on green investment is carbon emissions and energy consumption. Furthermore, the variables of energy consumption and carbon emissions that have a significant effect are the variables themselves. IRF analysis shows the response of variables to changes and the importance of response stability in the short, medium and long term. In the Green Economy Index Model, energy consumption and carbon emissions become the main pillars with the encouragement of increasing green investment and then increasing economic growth. The analysis confirms the importance of adopting environmentally friendly practices, using renewable energy and increasing green investment in promoting sustainable economic growth without compromising the environment.
Analisis Kinerja Ekonomi Makro dan Kinerja Perbankan Terhadap Stabilitas Perbankan Bank Umum Syariah di Indonesia: Sebuah Studi Empiris : Bank Panin Dubai Syariah dan Bank Aceh Syariah Rizki Rizki; Bakhtiar Efendi; Lia Nazliana Nasution
Jurnal Riset Ekonomi dan Akuntansi Vol. 3 No. 1 (2025): JURNAL RISET EKONOMI DAN AKUNTANSI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jrea-itb.v3i1.3010

Abstract

The purpose of this study is to ascertain how banking and macroeconomic performance affect Indonesia's Sharia Commercial Banks' stability. Panel Regression is the technique employed. GDP, inflation, BI-Rate, ROA, CAR, assets, and BOPO are the independent variables that are used. Z-Score is utilized as the dependant variable in the meantime. The World Bank, Bank Indonesia, and financial records from Bank Aceh Syariah and Bank Panin Dubai were the sources of the data. The data used spans the years 2011 through 2024. The findings indicate that the Z-Score is positively impacted by GDP, inflation, BOPO, ROA, and CAR. In the meantime, Z-Score is negatively impacted by assets and BI-Rate.
The Impact of Digital Economic Dimensions on the Stability and Efficiency of Monetary Policy in Indonesia: Quantitative Analysis in the Era of Digital Transformation Selfia Putri Johana Eka Ningsih Simatupang; Rusiadi Rusiadi; Lia Nazliana Nasution
Journal Economic Excellence Ibnu Sina Vol. 3 No. 1 (2025): Journal Economic Excellence Ibnu Sina
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/excellence.v3i1.2327

Abstract

This study uses quantitative analysis in the age of digital transformation to ascertain how Indonesia's monetary policy's stability and effectiveness are affected by digital economic characteristics. The Simultaneous Regression approach (also known as structural regression) with two simultaneous equations—monetary stability and monetary policy effectiveness—is the data analysis technique used in this study. Monetary stability (SM), the volume of digital transactions (VTD), the number of digital service users (PLD), financial technology adaptation (ATF), monetary policy effectiveness (EKM), e-commerce growth (PEC), and digital financial inclusion (IKD) are the variables considered in this study. The findings indicate that the variables VTD, PLD, ATF, and EKM have a 62.3% influence on the SM variable, with other variables outside the estimation accounting for the remaining 37.7% of SM. The estimation results show that the Effectiveness of Monetary Policy (EKM) can be explained by the Digital Financial Inclusion (IKD) and Monetary Stability (SM) variables by 11.7% and 88.3%, respectively. Aside from the estimations in the model, additional factors also affect the Effectiveness of Monetary Policy (EKM).
UTILIZATION OF DIGITALIZATION FOR MSME DEVELOPMENT AS A PILLAR OF ECONOMIC DEVELOPMENT Diwayana Putri Nasution; Hilmi; Rizki Ramadhan; Feri Susilawati; Rachmad Ikhsan; Lia Nazliana Nasution; Wahyu Indah Sari
International Journal of Accounting, Management, Economics and Social Sciences (IJAMESC) Vol. 3 No. 1 (2025): February
Publisher : ZILLZELL MEDIA PRIMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61990/ijamesc.v3i1.467

Abstract

The purpose of this study is to see the use of MSME digitalization to develop MSMEs as a pillar of economic development. Digitalization is very necessary in the global era, where human resources are required to be able to adapt to the development of digitalization. However, in reality, this has not happened comprehensively in various aspects of MSMEs. The reason behind this research is that many MSMEs still do not have adequate capabilities in terms of digitalization. The research method used is the literature review method and digitalization theory which explains the use of digitalization for the development of MSMEs. The results of the study show that the use of digitalization is very influential in increasing the competitiveness of MSMEs and their development. MSMEs also contribute optimally to economic development. The suggestion from this study is that training and development of digitalization capabilities are needed in an effort to increase the development of MSMEs as a pillar of Indonesia's development.