scholarly journals PENGARUH VARIABEL MAKROEKONOMI TERHADAP PROFITABILITAS BANK KONVENSIONAL BUKU 4 DI INDONESIA

2021 ◽  
Vol 3 (1) ◽  
pp. 65
Author(s):  
Sandi Fitra Yusuf ◽  
Mike Triani
Keyword(s):  
Economic Growth ◽  
Interest Rate ◽  
Random Effect ◽  
Random Effect Model ◽  
Bank Profitability ◽  
Macroeconomic Variables ◽  
Section Data ◽  
Insignificant Effect ◽  
Effect Model ◽  
Selection Test

This study explains the extent of the influence of macroeconomic variables on the profitability of BUKU 4 banks in Indonesia. The macroeconomic variables consist of economic growth (X1), inflation (X2), Bank Indonesia Interest Rate (BI Rate) (X3, and Profitability is measured by the ROA (Return) ratio. On Asset). This study combines cross section data of 7 banks with time series from 2010-2019, with the Panel Regression method with the Random Effect model selection test. The results show that: (1) Economic growth has a positive and significant effect on bank profitability. conventional BUKU 4 in Indonesia, (2) Inflation has a positive and insignificant effect on the profitability of conventional BUKU 4 banks in Indonesia, (3) the Bank Indonesia Interest Rate (BI Rate) has a positive and insignificant effect on the profitability of conventional BUKU 4 banks in Indonesia.

scholarly journals Bank Profitability Determinants: Firm-Level Observations in the ASEAN-5 Markets

2021 ◽  
Vol 12 (3) ◽  
pp. 77
Author(s):  
Nur Diyana Athirah Binti Adnan ◽  
Wei-Theng Lau ◽  
Siong-Hook Law
Keyword(s):  
Banking Sector ◽  
Random Effect ◽  
Random Effect Model ◽  
Ordinary Least Squares ◽  
Capital Adequacy ◽  
Loan Loss ◽  
Bank Profitability ◽  
Macroeconomic Factors ◽  
Macroeconomic Variables ◽  
Effect Model

This paper aims to investigate the bank-specific characteristics and macroeconomic factors affecting the profitability performance of the Southeast Asian banking sector. The sample markets cover the five original members of ASEAN, i.e. Indonesia, Malaysia, Philippines, Singapore, and Thailand, whereas the sample period encompasses the years between 2010 and 2017. While a healthy financial system is important for the economic sustainability and growth, there are still limited studies to understand how banks generally perform in this region. Our findings largely support the existing hypotheses about the importance of certain micro- and macro variables while contributing new empirical evidence to the current literature. The bank size, loan to assets, loan loss provision, non-interest incomes and expenses, and capital adequacy remain relevant in influencing bank profitability in the ASEAN-5 region. Macroeconomic variables of inflation, interest rate, market concentration and GDP per capita play considerable roles in profitability when they are assessed separately from the bank-specific factors. It is worth noting that the bank-level factors remain important and outplay the macroeconomic factors when they are considered at the same time. The result robustness is of a certain level of satisfaction because comparisons have been performed across individual countries and across different regression models of pooled ordinary least squares model, random effect model, and fixed effect model for all the tentative tests. Both the return on assets and return on equity are examined. Combining both micro- and macroeconomic variables in the regressions also indicates an overall improvement in the r-squared under the same models.

scholarly journals Financial inclusion and it’s effect on poverty in Indonesia

2021 ◽  
Vol 16 (1) ◽  
pp. 97-108
Author(s):  
Thomas Andrian ◽  
Nurbetty Herlina Sitorus ◽  
Irma Febriana MK ◽  
Stefanus Willy Chandra
Keyword(s):  
Economic Growth ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Poverty Rate ◽  
Financial Inclusion ◽  
Analysis Method ◽  
Macroeconomic Variables ◽  
Effect Model ◽  
The Impact

This study aims to analyze and determine the impact of Financial Inclusion in Indonesia and other macroeconomic variables on poverty rate in Indonesia. This study uses secondary data. Analysis method with the Random Effect Model (REM) approach. The results of this study indicate that the variable Bank Service Offices per 1,000 km2 , Ratio of DPK, Ratio CRD have a negative and significant effect on poverty rate in 33 provinces in Indonesia in 2014-2018, and Unemployment Rate (UMP) has a positive and significant effect on poverty rate in 33 provinces in Indonesia in the 2014-2018 period. However, the variable Economic Growth and Inflation (INF) did not have a significant effect on poverty in 33 provinces in Indonesia in the 2014-2018 period. Measuring this dimension is still difficult to do and currently several international institutions were concerned about the development of financial inclusion. Keywords: Financial inclusion, Poverty rate, Economic growth

scholarly journals An Empirical Study on the Effect of Agricultural Infrastructure Investment on Economic Growth

2021 ◽  
Vol 275 ◽  
pp. 01004
Author(s):  
Liu Ran
Keyword(s):  
Economic Growth ◽  
Industrial Structure ◽  
Random Effect ◽  
Random Effect Model ◽  
Infrastructure Investment ◽  
National Bureau ◽  
Agricultural Field ◽  
Effect Model ◽  
New Development ◽  
The Impact

In this paper, using the panel data of the National Bureau of Statistics database from 2010 to 2019, and using the random effect model, we studied the impact of agricultural infrastructure investment on economic growth. The empirical results show that the investment in agricultural infrastructure can significantly improve the national economy, among which the investment in new infrastructure promotes the economic growth to a certain extent. After comparing the eastern, central and western regions, it is found that the investment in agricultural infrastructure in the western region contributes more to the economic growth, and the statistical results are more significant. Based on the analysis of the role of agricultural infrastructure investment in promoting economic growth, this paper will further discuss the relevant suggestions of the “two new and one heavy” policy in the agricultural field, and promote the adjustment of agricultural industrial structure with the improvement of agricultural infrastructure, and promote the formation of a new development pattern of “double circulation”.

scholarly journals Inequality and Economic Growth: An Analysis of 8-Panels

2017 ◽  
Vol 3 (2) ◽  
pp. 173
Author(s):  
Khadijah A. Idowu ◽  
Yusuf Bababtunde Adeneye
Keyword(s):  
Economic Growth ◽  
Panel Data Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Specific Effect ◽  
Developed Countries ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Effect Model ◽  
The World

<p><em>Purpose: This paper investigates the effects of inequality on economic growth in the world using continental approach.</em><em></em></p><p><em>Design/methodology:<strong> </strong>Gini Coefficient and Gross Domestic Products (GDP) per capita were used to measure inequality and economic growth respectively. The study conducted a panel data analysis of the relationship between inequality and economic growth. The data span from 1991-2015. Five countries were selected each from seven continents and were also pooled together to constitute a single panel for 35 countries, thus establishing 8 panels. The Hausman test was conducted to determine whether a random or fixed effect model best fit pooled countries analysis or not.</em><em></em></p><p><em>Findings: Findings revealed that for the developing countries, high income inequality retards economic growth while for the developed countries such as Europe countries; the situation seems to be different. European countries as revealed in the findings showed that developed countries have benefited from inequality which has significantly and positively affected their economic growth. The results for Panel II (Asia countries) and Panel III (Europe countries) are in line with the study of Forbes (2000) and Li and Zou (1998) that documented that inequality boosts economic growth. Importantly, we found that inequality positively affects economic growth for Panels/Continents with fixed effect model while inequality negatively affects economic growth for Panels/Continents with random effect model.</em></p><p><em>Research Limitation: The study did not control for each continent differences. For African countries, weak institutional settings and environment is a key factor contributing to high inequality.</em><em></em></p><p><em>Originality: The paper was able to know the specific effect of inequality on economic growth in each continent in the World. This documents continents that have benefited from inequality and those that inequality has greatly affected their economies negatively.</em><em></em></p>

Pengaruh Variabel Ekonomi Makro terhadap Yield Spread Negara-negara di Asia Timur, Amerika Latin, dan Karibian

2018 ◽  
Vol 3 (1) ◽  
pp. 61-67
Author(s):  
Irwan Diko Purba
Keyword(s):  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Least Square ◽  
Real Effective Exchange Rate ◽  
Yield Spread ◽  
Macroeconomic Variables ◽  
Effect Model ◽  
Effective Exchange ◽  
Effective Exchange Rate

A country’s credit worthiness decided by macroeconomic factors. This research aims to examine the impact of macroeconomic and external factor on yield spread of East Asia, Latin America, and Caribbean countries. Macroeconomic variables used in this research are classified as macroeconomic variables that influence liquidity and solvency, and macroeconomic variables that influence macroeconomic fundamental. This research is conducted by using quarterly yield spread data of 11 countries from 2000Q1 to 2015Q4 and analyzed panel data regression using Pooled Least Square (PLS), Fixed Effect Model (FEM) and Random Effect Model (REM). Study results show that macroeconomic variables that have impact on yield spread are external debt to GDP ratio, fiscal balance to GDP ratio, amortization to international reserve ratio, current account to GDP ratio, real effective exchange rate, and GDP per capita growth. External factors that have impact on yield spread are US Treasury Bond 10 year yield and Volatility Index. Abstrak Kelayakan utang (credit worthiness) sebuah negara ditentukan dari kondisi ekonomi makro negara tersebut dan faktor eksternal. Penelitian ini bertujuan untuk menguji pengaruh faktor ekonomi makro serta faktor eksternal terhadap yield spread negara-negara di Asia Timur, Amerika Latin dan Karibian.  Variabel ekonomi makro yang digunakan dalam penelitian ini digolongkan dalam dua kelompok yakni yang memengaruhi likuiditas dan solvensi serta yang memengaruhi fundamental ekonomi makro. Penelitian dilakukan dengan menggunakan yield spread triwulanan dari 11 negara untuk periode 2000Q1:2015Q4 dan analisis regresi data panel menggunakan Pooled Least Square (PLS), Fixed Effect Model (FEM) dan Random Effect Model (REM). Hasil penelitian menunjukkan bahwa variabel ekonomi makro yang memengaruhi yield spread adalah rasio utang luar negeri terhadap PDB,  rasio keseimbangan anggaran fiskal terhadap PDB, rasio amortisasi terhadap cadangan devisa, rasio transaksi berjalan terhadap PDB, nilai tukar riil (real effective exchange rate) dan  pertumbuhan PDB per kapita. Faktor eksternal yang memengaruhi yield spread adalah yield US Treasury 10 tahun dan Volatility Index (VIX).

scholarly journals Determining Firm Value in the Indonesian Banking Sub Sector

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Henny Medyawati ◽  
◽  
Muhamad Yunanto ◽  
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Financial Performance ◽  
Interest Rates ◽  
Firm Value ◽  
Dividend Policy ◽  
Random Effect ◽  
Random Effect Model ◽  
Company Value ◽  
Effect Model

This study aims to find the most appropriate model for analysing the effect of financial performance, dividend policy, interest rates and the rupiah exchange rate on firm value. The research sample includes the banking sub-sector companies listed on the IDX in 2013-2019. The research method used is purposive sampling to analyse the panel data. The variables used in this study are the company value as measured by Price to Book Value (PBV), financial performance is measured by Return on Assets (ROA), dividend policy is measured by Dividend Pay-out Ratio (DPR), interest rate is measured by BI interest rate, and the rupiah exchange rate is measured by the middle rate. The results show that ROA and exchange rate affect firm value. The appropriate model used in this study is the random effect model.

scholarly journals Dampak Korupsi Terhadap Pertumbuhan Ekonomi: Studi Kasus 4 Negara di ASEAN

2020 ◽  
Vol 7 (1) ◽  
pp. 30
Author(s):  
Akhmad Faisal Lutfi ◽  
Zainuri Zainuri ◽  
Herman Cahyo Diartho
Keyword(s):  
Economic Growth ◽  
Negative Impact ◽  
Random Effect ◽  
Random Effect Model ◽  
Negative Influence ◽  
Positive Influence ◽  
Negative Effects ◽  
Public Investments ◽  
Effect Model ◽  
Asean Countries

Today the phenomenon of the influence of corruption to economic growth has been a fairly hot issue of debate, both theoretically and empirically. The research uses a data panel analysis with a Random Effect Model approach to determine if corruption has a negative impact on economic growth in 4 ASEAN countries over the period of 2004-2015. Analysis results show that variable corruption has a negative influence on economic growth despite being insignificant, while other variables that have a significant positive influence on economic growth are public investments. The results of this study confirm that the negative effects of corruption do not directly affect economic growth but rather lead to the inefficiencies of production processes and the misallocation of resources.

scholarly journals Corruption and Economic Growth at Province Levels in Indonesia

JEJAK ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 288-295
Author(s):  
Nairobi Nairobi
Keyword(s):  
Economic Growth ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Initial Growth ◽  
Ceteris Paribus ◽  
Transparency International ◽  
Economic Growth Model ◽  
Effect Model ◽  
Research Period

This study aims to determine the effect of corruption on economic growth at the provincial level in Indonesia. This study uses a model based on the economic growth model of Levine and Renelt (1992). This study uses secondary data obtained from the Central Statistics Agency (BPS), the Investment Coordinating Board (BKPM), and Transparency International Indonesia with the research period of 2014-2018. This study uses a panel data model with a cross-section of 16 (sixteen) provinces in Indonesia. This study uses a model with a Random Effect Model (REM) approach. The results showed that the corruption perception index, foreign direct investment (FDI), initial growth (EGt-1), government spending (GE) and labor (L) each had a positive and significant effect on economic growth (EG) in 16 provinces in Indonesia for the 2014-2018 period, ceteris paribus.

scholarly journals THE IMPACT OF MACROECONOMIC DETERMINANTS ON COMMERCIAL BANK PROFITABILITY IN CENTRAL AND SOUTHEASTERN EUROPEAN COUNTRIES

TEME ◽  
2021 ◽  
pp. 1391
Author(s):  
Branimir M. Kalaš ◽  
Vera Mirović ◽  
Nada Milenković ◽  
Jelena Andrašić
Keyword(s):  
Interest Rate ◽  
Gross Domestic Product ◽  
Real Interest Rate ◽  
Panel Study ◽  
Random Effect ◽  
Random Effect Model ◽  
European Countries ◽  
Domestic Product ◽  
Bank Profitability ◽  
The Impact

The purpose of this paper is to investigate the impact of macroeconomic variables on bank profitability indicators in Central and Southeastern European countries (CESE). The research sample includes 13 countries of CESE countries: Albania, Bosnia and Herzegovina, Bulgaria, Croatia, the Czech Republic, Hungary, Macedonia, Montenegro, Poland, Romania, Serbia, Slovakia and Slovenia, for the period 2008-2015. The core idea is to empirically evaluate the impact of the main macro indicators, such as gross domestic product, inflation and the real interest rate on bank profitability and their potential relationship. The subject of this paper applies a two-step model: model 1 includes return on asset (ROA), while model 2 includes return on equity (ROE) as the dependent variable. On the other hand, independent variables are gross domestic product (GDP), inflation (INF) and real interest rate (RIR). The results of the panel study indicate that there is a significant effect of GDP and INF on bank profitability indicators in selected countries. Namely, the 1% increase in GDP and INF rise ROA for 0.47% and 0.48%, where inflation has a greater influence on ROA and ROE compared to GDP. The results of the random effect model show that the 1% increase in GDP and INF raise ROE for 0.49% and 0.42%. Likewise, real interest rate has no significant effect on ROA and ROE in selected countries. Based on empirical findings, policymakers should focus on rapid economic growth with controlled inflation that will enhance bank profitability in Central and Southeastern European countries.

scholarly journals PENGARUH INFRASTRUKTUR SOSIAL DAN EKONOMI TERHADAP PERTUMBUHAN EKONOMI INDONESIA TAHUN 2015 - 2019

2021 ◽  
Author(s):  
Kristian Wanandi
Keyword(s):  
Economic Growth ◽  
Average Length ◽  
Random Effect ◽  
Random Effect Model ◽  
Clean Water ◽  
Infrastructure Development ◽  
Social Infrastructure ◽  
Effect Model ◽  
Data Regression ◽  
Long Time

Infrastructure development in Indonesia has been going on for a long time and at a fairly large cost. The contribution of infrastructure development is quite significant in increasing economic growth, but there are still problems faced by our country. This study aims to determine the influence and contribution of economic and social infrastructure to economic growth in Indonesia, which is represented by Gross Regional Domestic Product per capita.Panel data regression analysis is used to see the magnitude of the influence of infrastructure on economic growth in Indonesia. The infrastructure studied includes: length of roads, distributed electricity, clean water that is distributed, health described by Life Expectancy (AHH), and education described by the Average Length of School (RLS). The analysis was carried out using panel data with a random effect model in 34 provinces in Indonesia and over a period of 5 years (2015-2019). The results obtained are that roads and education have a significant effect on economic growth. Electricity, clean water, and health do not have a significant effect.economic infrastructure, social infrastructure, economic growth

Sign in / Sign up

Export Citation Format

Share Document