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 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 Analysis Of Effect Of ZIS (Zakat, Infaq, And Shadaqah), Regional Domestic Products Of Bruto, Regional Minimum Wage And Inflation On Levels Poverty In Indonesia 2012 – 2016

2019 ◽  
Vol 2 (2) ◽  
pp. 193-211
Author(s):  
Fiky Nila Mustika ◽  
Eni Setyowati ◽  
Azhar Alam
Keyword(s):  
Panel Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Minimum Wages ◽  
Effect Model ◽  
Panel Data Regression ◽  
The Impact ◽  
Poverty Levels ◽  
Domestic Products

This study investigated the impact of ZIS (Zakat, Infaq, and Sadaqah) Gross Regional Domestic Products, Regional Minimum Wages, and Inflation on Poverty Levels in Indonesia during the 2012-2016 period. .This paper used secondary data in the panel data form. This research conducted a quantitative approach using panel data regression. Based on the results of the panel data testing, the best model chosen is the Random Effect Model (REM). Variables of gross regional domestic products and regional minimum wages have a significant effect on poverty levels in Indonesia while the variables of zakat, infaq, and shadaqah (ZIS) and inflation do not influence the level of poverty in Indonesia.

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 COMPARISON OF VILLAGE DEVELOPMENT BEFORE AND AFTER VILLAGE FUND IMPLEMENTATION IN NAGAN RAYA DISTRICT

2021 ◽  
pp. 18-35
Author(s):  
Arroyyan Ramly
Keyword(s):  
Time Series Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Primary Data ◽  
Series Data ◽  
P Value ◽  
Analysis Method ◽  
Effect Model ◽  
The Village

This study aims to analyze and see the effectiveness of the distribution of the use of village funds in Kuala Subdistrict, Nagan Raya Regency and its relationship with poverty levels. The data used is in the form of time series data from 2015 to 2018 which is collected through primary and secondary data. Primary data were obtained by directly visiting villages in the Kuala sub-district. Meanwhile, secondary data were obtained from the website of the Central Statistics Agency (BPS), document review, articles related to the object of research. This study conducted observations of 10 villages as a sample of 17 villages in Kuala District. The analysis method uses panel data regression with the random effect model (REM) analysis method. From the regression results of the random effect model, it was found that the village fund variable had a positive and significant effect on poverty with a probability of 0.0000 = p-value α = 5%. Then the village fund allocation variable has a significant negative effect on poverty with a probability of 0.0000 = p-value α = 5%. This means that adding 1% of village funds or increasing village funds will reduce poverty in Kuala Subdistrict, Nagan Raya Regency.

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 Effect of Inflation and Economic Growth on The Rate of Unemployment

2021 ◽  
Vol 7 (4) ◽  
pp. 609-617
Author(s):  
Azaluddin Azaluddin ◽  
Lia Hanifa
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Linear Regression ◽  
Unemployment Rate ◽  
Quantitative Research ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Research Data ◽  
Effect Model

This study aims to determine the effect of inflation and economic growth on the unemployment rate in Indonesia. This research is a quantitative research. Data analysis in this study used multiple linear regression with a random effect model, which was processed using the EViews 10 application. The population in this study was all provinces in Indonesia in 2016-2018. The sample in this study was 34 provinces in Indonesia. The data used in this study is secondary data obtained from the Central Statistics Agency. The results of this study indicate that inflation and economic growth have a negative and insignificant effect on the unemployment rate in Indonesia. Based on the F test and t test, inflation and economic growth variables have no significant effect on the unemployment rate in Indonesia, either partially or simultaneously.

scholarly journals The Impact of Insurance Company's Profitability on the Economic Growth

2019 ◽  
Vol 8 (6S3) ◽  
pp. 693-699
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Negative Impact ◽  
Positive Impact ◽  
Random Effect ◽  
Random Effect Model ◽  
Hausman Test ◽  
Return On Equity ◽  
Effect Model ◽  
The Impact

This paper investigates the impact of Jordanian insurance company's profitability on the economic growth during the period 2007-2016. Regression analysis using random effect model was adopted after applying Hausman test. The results reveals that earning per share, and net realized premiums to shareholders equity have a negative impact on the economic growth, also a significant positive impact for the return on equity on the economic growth has been founded. According to the results the study recommended to encourage individuals and investors to participate in insurance in various fields.

scholarly journals The Impact of Economic Growth and Unemployment Rate on Poverty in Sulawesi

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Roflan R Badu ◽  
Syarwani Canon ◽  
Fitri Hadi Yulia Akib
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Unemployment Rate ◽  
Positive Impact ◽  
Panel Data Analysis ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Poverty Rate ◽  
Effect Model ◽  
The Impact

This research aims to analyze several fators that may impact the provincial poverty rate in Sulawesi. Several factors considered in this research is the economic growth (growth of Gross Regional Domestic Product) and Unemployment Rate. This research uses secondary data from Central Statistics Bureau (Badan Pusat Statistik, BPS). This research uses panel data analysis on six provinces in Sulawesi during 2010-2017. This research uses Fixed Effect Model (FEM). Based on the results, it is found that economic growth and unemployment rate has significant and positive impact on poverty rate in Sulawesi. Keywords: Economic Growth; Unemployment Rate; Poverty.

scholarly journals Effect of Special Allocation Funds (DAK), Capital Expenditures, and Investment on Economic Growth in the Sulawesi Region

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Fera Nur Ariyani Ibrahim ◽  
Irawati Abdul
Keyword(s):  
Economic Growth ◽  
Significant Influence ◽  
Capital Expenditure ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Capital Expenditures ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

This study aims to analyze the effect of Special Allocation Funds, Capital Expenditures and Investment on Economic growth in the Sulawesi region. The data used are secondary data obtained from Simreg Bappenas and the Central Statistics Agency during 2007-2016. The unit of analysis is 6 provinces in the Sulawesi region. This study uses a panel data regression model with the Random Effect Model (REM) method. The results of this study indicate that, (i) the Special Allocation Fund has a negative and significant effect on economic growth in the Sulawesi region. (ii) Capital expenditure shows a positive and significant influence on economic growth in the Sulawesi region. (iii) Investment shows a positive and significant influence on economic growth in the Sulawesi region.Keywords: Special Allocation Funds, Capital Expenditures, Investment, Economic Growth, Random Effect Model (REM).

scholarly journals The Impact of Economic Growth and Unemployment Rate on Poverty in Sulawesi

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Roflan R Badu ◽  
Syarwani Canon ◽  
Fitri Hadi Yulia Akib
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Unemployment Rate ◽  
Positive Impact ◽  
Panel Data Analysis ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Poverty Rate ◽  
Effect Model ◽  
The Impact

This research aims to analyze several fators that may impact the provincial poverty rate in Sulawesi. Several factors considered in this research is the economic growth (growth of Gross Regional Domestic Product) and Unemployment Rate. This research uses secondary data from Central Statistics Bureau (Badan Pusat Statistik, BPS). This research uses panel data analysis on six provinces in Sulawesi during 2010-2017. This research uses Fixed Effect Model (FEM). Based on the results, it is found that economic growth and unemployment rate has significant and positive impact on poverty rate in Sulawesi. Keywords: Economic Growth; Unemployment Rate; Poverty.

Sign in / Sign up

Export Citation Format

Share Document