scholarly journals POVERTY RATE DURING THE 1998 AND 2008 CRISIS PERIOD IN 5 ASEAN COUNTRIES

2018 ◽  
Vol 3 (1) ◽  
pp. 49
Author(s):  
Ridho Firmansyah ◽  
Sri Kusreni
Keyword(s):  
Population Growth ◽  
Government Spending ◽  
Fixed Effect Model ◽  
Poverty Rate ◽  
Gdp Per Capita ◽  
Effect Model ◽  
Panel Data Regression ◽  
Per Capita ◽  
Asean Countries ◽  
Distribution Of Income

This study aims to examine and analyze the effect of GDP per capita, Inequal distribution of income, unemployment, population growth and government spending on education on poverty in five ASEAN countries. This study uses panel data regression equation using the Fixed Effect Model (FEM). The results showed that the effect of GDP per capita, Inequal distribution of income, unemployment, population growth and government spending on education affects simultaneously on poverty. While partially each independent variable have different effect on poverty in five ASEAN countries.

scholarly journals Determinants of Structural Transformation in ASEAN

2020 ◽  
Vol 35 (2) ◽  
pp. 137
Author(s):  
Kalies Sirieh Puspitowati ◽  
Deden Dinar Iskandar
Keyword(s):  
Panel Data ◽  
Structural Transformation ◽  
Value Added ◽  
Fixed Effect Model ◽  
Dependency Ratio ◽  
Service Value ◽  
Income Per Capita ◽  
Effect Model ◽  
Per Capita ◽  
Asean Countries

This study aims to analyze the determinants of the structural transformation in ASEAN countries. This study uses quantitative panel data from 9 countries in ASEAN from 2000 to 2017, thus makes up for 162 observations. This study employs panel data regression analysis with fixed effect model approach. In this study, the shifting of sectoral value added away from agriculture sectors indicates structural transformation. In particular, sectoral value added consists of the industrial value added and service value added. The results of this study shows that dependency ratio, income per capita, education, and trade significantly affect the increase of industrial value added during observation period. On the other hand, total population, dependency ratio, income per capita, education, control of corruption, and trade significantly increase the service value added over time.

scholarly journals DAMPAK INKLUSI KEUANGAN TERHADAP STABILITAS SISTEM KEUANGAN DI ASIA

2016 ◽  
Vol 18 (4) ◽  
pp. 409-430 ◽  
Author(s):  
Azka Azifah Dienillah ◽  
Lukytawati Anggraeni
Keyword(s):  
Financial Stability ◽  
Pearson Correlation ◽  
Financial System ◽  
Fixed Effect Model ◽  
Financial Inclusion ◽  
Gdp Per Capita ◽  
Asian Countries ◽  
Effect Model ◽  
Per Capita ◽  
The Stability

Financial inclusion is one of strategy to increase inclusive growth in Asian countries. However, it may cause either stability or instability in the financial system. Therefore, this research aimed to analyze the relationship between financial inclusion and financial stability and to analyze factors that affect the stability of the financial system in seven Asian countries in the periode of 2007-2011. The methods used are Pearson correlation and Fixed Effect Model. The results show that there is negative correlation at 5% significant level between financial inclusion and financial stability. Factors that significantly affect the financial stability are financial inclusion, financial stability in the previous period, non-FDI capital flows to GDP, the ratio of current assets to deposits and Short-term funding, and GDP per capita. Thus the increase in financial inclusion, current assets of banking, GDP per capita, and the portfolio investment can become the strategies to improve the financial stability (Bank z score) on the determined and future year.

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI MIGRASI TENAGA KERJA KE LUAR NEGERI BERDASARKAN PROVINSI DI INDONESIA

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Wahyu Indah Puspitasari
Keyword(s):  
Labor Migration ◽  
Fem Analysis ◽  
Fixed Effect Model ◽  
Variable Number ◽  
Fixed Effect ◽  
Gdp Per Capita ◽  
Domestic Product ◽  
Effect Model ◽  
Per Capita ◽  
Regional Product

AbstractLabor migration abroad is one of the alternatives to solveunemployment. However, overseas migration does not just happen, many factors influence. This study aimed to discuss the effects of unemployment, Gross Regional Domestic Product per capita, average years of education, and provperty to the labor migration to the outside Indonesia by province in Indonesia at 2010 to 2014. This study using Fixed Effect Model (FEM) analysis. The results of the analysis concluded that variable number of unemployed, the GDP per capita, average years of education, and provperty simultaneous signifikan effect on labor migration out of Indonesia. Unemployment and and provperty partially significantly affect on labor migration abroad. However, the average years of education and GDP per capita is partially not significant effect on labor migration. Keywords : Out Migration of Labor, Gross Domestic Regional Product, Unemployment, average years of education , Provperty

scholarly journals Determinan Pertumbuhan Ekonomi di 4 Negara ASEAN

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Tafeta Febryani
Keyword(s):  
Economic Growth ◽  
Population Growth ◽  
Panel Data Analysis ◽  
Fixed Effect Model ◽  
Research Area ◽  
Analysis Method ◽  
Important Indicator ◽  
Effect Model ◽  
Asean Countries ◽  
Result Analysis

AbstractEconomic growth is a very important indicator for assessing the performance of an economy, especially to analyze the results of the process of economic development in a country or region in order to create a better economic growth, especially in developing countries in ASEAN. This study aimed to analyze the effect of population growth, unemployment and inflation to economic growth in four ASEAN countries in 2003 to 2013. By using a panel data analysis method to approach Fixed Effect Model (FEM). Result analysis concludes that there is significant influence between population growth and unemployment to economic growth in four ASEAN countries, while inflation showed no significant relationship to economic growth in the four ASEAN countries. Keywords : Economic Growth, Population, Unemployment, Inflation Research Area: Indonesia, Malaysia, Philippines and Thailand

scholarly journals The Impact of Unemployment and Human Development Index on Poverty in Gorontalo Province 2008-2017

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Lian A Yusuf ◽  
Sri Indriyani Dai
Keyword(s):  
Human Development ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Fixed Effect Model ◽  
Poverty Rate ◽  
Development Index ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Impact

This research aims to analyze the impact of unemployment rate and human development index on poverty in Regecies and City in Gorontalo Province. This research uses Panel Data Regression analysis with fixed effect model (FEM). This research uses regional datasets from the Registration Management Information System (SIMREG) and datasets from Central Statistics Bureau (BPS) during 2008-2017. Main findings of this research indicates that (i) unemployment rate has positive but insignificant impact on poverty rate; (ii) human development index has positive and significant impact on poverty rate. Keywords: Unemployment Rate; Human Development Index (HDI); Poverty.

PENGARUH PERUBAHAN JUMLAH PENDUDUK TERHADAP KUALITAS AIR DI INDONESIA

2017 ◽  
Vol 15 (2) ◽  
pp. 207-215
Author(s):  
Nur Afiyah Maizunati ◽  
Mohamad Zaenal Arifin
Keyword(s):  
Water Quality ◽  
Population Growth ◽  
Water Quality Index ◽  
Urban Areas ◽  
Quality Index ◽  
Growth Control ◽  
Fixed Effect Model ◽  
Negative Influence ◽  
Effect Model ◽  
The Social

Ongoing population growth and urbanization can cause pressure on water systems, especially in urban areas. Several previous studies have found evidence of an influence between population and water quality. However, the phenomenon in Indonesia is slightly different, because although population growth has decreased trend, but the acquisition of water quality index still fluctuate in several years. This study aims to determine the significance influence of population on water quality in Indonesia. Data analysis is done through regression of panel data of 33 provinces with fixed effect model, The results showed that the population has a negative influence on water quality in Indonesia. An increase on population by 1,000 people tends to lower the water quality index by an average of 1.13 points (cateris paribus). Population growth control becomes absolute and priority in Indonesia. However, these efforts need to be accompanied by continuous improvement of competence and welfare, so that the social awareness and economic capacity of each population are increased in order to achieve a better maintenance on the quality of the environment.

Tingkat Kemiskinan di Sumatra Selatan dan Analisisnya

2020 ◽  
Vol 8 (2) ◽  
pp. 127-133
Author(s):  
Doni Putra ◽  
Rifki Khoirudin
Keyword(s):  
Research Method ◽  
Random Effect ◽  
Random Effect Model ◽  
Poverty Rate ◽  
Variable Number ◽  
Regression Method ◽  
Poverty Level ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

This study aims to determine the factors that affect the poverty rate of regencies / cities in South Sumatra Province in 2011 to 2017. In this study the factors that affect poverty rates are related to unemployment, HDI, MSE, and population. The research method used is the panel data regression method using the help of Eviews software. The final thanks is the Random Effect Model. The results of this study are the variable Number of Population has a significant effect on the level of poverty in the District / City in South Sumatra Province. However, the Unemployment Rate Variable, HDI, and UMK were not significant to the poverty level in the regencies / cities in South Sumatra Province.

scholarly journals ANALISIS INTERVENSI FISKAL TERHADAP KEMISKINAN (STUDI KASUS DANA DESA PULAU KALIMANTAN)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
M. Zaky Mubarak Lubis ◽  
Aprian Subhan Dahraini
Keyword(s):  
Panel Data ◽  
Data Model ◽  
Fixed Effect Model ◽  
Poverty Rate ◽  
Panel Data Model ◽  
Fund Allocation ◽  
Effect Model ◽  
Descriptive Approach ◽  
Quantitative Descriptive ◽  
The Village

ABSTRACTOne of the government's strategies to help the village become independent and autonomous by giving the allocation of village funds. The funds allocated for the rural area, and expected to support the implementation of the people’s empowerment and the rural development, so that funds can improve the people’s prosperity. Furthermore, the aims of this study to look at the influence of Fiscal Intervention which are representated by Village Fund, Village Fund Allocation, and part of Local Earning and Retribution toward Poverty which is representated by Poverty Rate of Residences/Cities in Kalimantan Island during 2015-2017. This research used quantitative descriptive approach with Panel Data Model. The result showed of Fixed Effect Model regression that, Village Fund, Village Fund Allocation, and part of Local Earning and Retribution have have negative significant influence at Poverty Rate for 47 Residences/Cities in Kalimantan Island.

scholarly journals Determinants of the development of the Mazowieckie Province in 2007-2016

2018 ◽  
Vol 4 (2) ◽  
pp. 65-74
Author(s):  
Łukasz Grzęda
Keyword(s):  
Population Growth ◽  
College Graduates ◽  
National Average ◽  
Gdp Per Capita ◽  
Demographic Situation ◽  
Factors Influencing ◽  
Central Statistical ◽  
Central Statistical Office ◽  
Per Capita ◽  
Positive Population

The article presents the results of the analysis of factors influencing the development of the Mazowieckie Province (Masovia) in the years 2007–2016. Data for the study were collected from the Central Statistical Office and Statistical Yearbooks of the Mazowieckie Province. The results indicate that the level of development of Masovia is considerably higher than of other provinces in the country. At the end of the analyzed period, in Masovia the GDP per capita was almost twice as high as the national average. Masovia held the highest share in Poland’s GDP (22%). Important factors positively affecting the development of Masovia are: positive population growth and improving demographic situation, and broad access to telecommunications. Additional factors of the dynamic Masovia’s development are: extensive transportation infrastructure (104.3 km per 100 km2) and high number of students (236.5 thousand) and college graduates (60.8 thousand) who constitute the future substantive resources of the province’s economy.

The Loan Shark in ASEAN

2020 ◽  
pp. 252-277
Author(s):  
Khairunnisa Musari
Keyword(s):  
Gross Domestic Product ◽  
Capita Income ◽  
Southeast Asian ◽  
Gdp Per Capita ◽  
Domestic Product ◽  
Per Capita Income ◽  
The World ◽  
Per Capita ◽  
Asean Countries ◽  
Loan Shark

Loan shark is a humanitarian problem faced by many countries in the world, including in Asia, even in the Association of Southeast Asian Nations (ASEAN)'s countries. Loan shark activities are found not only in Myanmar and Cambodia, which has the lowest per capita income in ASEAN but also in Indonesia, Thailand, Malaysia, Brunei, and even Singapore, which are the five countries with the highest gross domestic product (GDP) per capita in ASEAN. How are loan shark practices in ASEAN countries? Can nanofinance overcome the microfinance gap to fight the loan shark? How the practice of Bank Wakaf Mikro (BWM) in Indonesia to nanofinance with qardhul hassan contract? Find the answers in this chapter.

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