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 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 The Relationship between Competitiveness and Economic Growth: A Panel Data Analysis on Selected Countries

2015 ◽  
Author(s):  
Ziya Çağlar Yurttançıkmaz ◽  
Ömer Selçuk Emsen ◽  
Ahmet Fatih Aydemir ◽  
Ahmet Alkan Çelik
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Panel Data ◽  
Positive Impact ◽  
Panel Data Analysis ◽  
Sustainable Growth ◽  
International Institute ◽  
Data Set ◽  
Business World ◽  
The Impact

As economic growth is very important for the development of individuals and the society, the importance of capital stocks and labor force for the economic growth of countries cannot be neglected. Additionally, the human capital component and especially the role of competitiveness increases on the growth process have been extensively discussed over the last two decades. This paper examines the impact of competitiveness increases on economic growth of selected middle-income countries including Turkey for the period of 1997-2012 using a balanced panel data analysis, which was relatively less studied in the literature. According to analysis results, an increase on the competitiveness index of countries in the panel, which were obtained from the data set of the International Institute for Management Development (IMD), positively increases per capita income level. This result may be interpreted as several factors that increase competitiveness including infrastructure, economic structure, business world and regulations and investments that ensure public efficiency may have a positive impact on economic growth. Therefore, this study suggests that future policies that concentrate on extensive growth instead of intensive dimension may contribute to efficient and sustainable growth.

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 The impact of corruption on the economic growth in Bangladesh, India and Pakistan: An ARDL approach

2021 ◽  
Vol 12 (8) ◽  
pp. 2079-2093
Author(s):  
Md. Mamun Miah ◽  
Tahmina Akter Ratna ◽  
Shapan Chandra Majumder
Keyword(s):  
Economic Growth ◽  
Correction Term ◽  
Negative Relationship ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Positive Influence ◽  
Fixed Effect ◽  
Ardl Model ◽  
Effect Model ◽  
The Impact

Purpose of the study: Main purpose of the paper is to find out the impact of corruption on the economic growth of Bangladesh, India, and Pakistan. At the same time, our other objectives are to find the long and short-run effects of corruption on growth in these countries. Methodology: For conducting the study, we have taken the data from Bangladesh, India, and Pakistan. For this study necessary secondary data have been collected from 1990 to 2016 based on countries like Bangladesh, India, and Pakistan. Data for economic growth (dependent) and trade (independent) are collected from World Development Bank and data for corruption are taken from International Country Risk published by the PRS Group. The study has used ECM ARDL Model and the Fixed Effect Model.  Findings: The result of the fixed effect model shows a 1percent increase in corruption decreases GDP by 0.07 units and shows a negative relationship with economic growth. Again if trade increases by 1 percent then growth will increase by 0.09 units on average and shows a positive relationship with economic growth. ECM ARDL Model shows the positive coefficient of corruption but not significant but trade has a long-run positive influence on economic growth. The error correction term indicating that the adjustment is corrected by 70% in these three countries. Contributions: This paper may be helpful for existing literature gap and also for further research. It will be helpful for policy makers to control corruption in three countries.

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 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.

scholarly journals Pengaruh Belanja Infrastruktur terhadap Pertumbuhan Ekonomi Provinsi Nusa Tenggara Timur

2019 ◽  
Vol 17 (2) ◽  
pp. 38-48
Author(s):  
Martin Luter ◽  
Irlan Indrocahyo ◽  
Islahwani Loka Vita Resti
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Panel Data ◽  
Construction Projects ◽  
Panel Data Analysis ◽  
Secondary Data ◽  
Building Construction ◽  
Water Networks ◽  
The Road ◽  
The Impact

This study investigates the impact of infrastructure spending on economic growth in Nusa Tenggara Timur (NTT). This study uses secondary data from 2010-2017 obtained Direktorat Jenderal Perimbangan Keuangan (DJPK) and Badan Pusat Statistik (BPS). Methods of this study applying panel data analysis to find out the effect of infrastructure spending on NTT’s economic growth. The finding of the study indicates that the road and construction infrastructure spending has a positive and significant effect on economic growth in Nusa Tenggara Timur. Thus, it would be better if government infrastructure spending could be prioritized on road and building construction projects. In addition, spending on other infrastructure such as bridges, water networks, electrical and telephone installations is better governed, so that more effective in increasing NTT's economic growth.

scholarly journals ANALYSIS OF INFRASTRUCTURE EFFECT ON INDONESIA'S ECONOMIC GROWTH YEAR 2007 - 2014

2019 ◽  
Vol 4 (02) ◽  
pp. 121
Author(s):  
Rismanto Irawan ◽  
Deden Dinar Iskandar
Keyword(s):  
Economic Growth ◽  
Positive Impact ◽  
Capital Expenditure ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Social Infrastructure ◽  
Institutional Infrastructure ◽  
Effect Model ◽  
Panel Data Regression ◽  
Increase Productivity

<p><em>A production process requires inputs to be used to produce output. The input according to Solow is the capital and labor described in the Cobb – Douglas function. Infrastructure can be said as capital in an effort to increase productivity, since labor requires supporting facilities that can increase their productivity. Therefore infrastructure is seen as having an important role in driving economic growth, so that adequate infrastructure is expected to have a positive impact on economic growth. This study aims to analyze the influence of the availability of infrastructure that is divided into economic infrastructure, social infrastructure and institutional infrastructure, on the economy in Indonesia which is described by the GDP. This study uses secondary data in 33 provinces in Indonesia in 2007-2014. This study uses panel data regression using the fixed effect model and correction of Heteroscedasticity and Autocorrelation Consistent (HAC). </em><em>Based on the results of econometric regression, it is known that the variables of road, electricity, education, health and capital expenditure have a positive and significant effect. While the employee expenditure variable has a positive but not significant relationship. In addition, it is known that telephone variables have a negative and insignificant relationship. The results of this study also show that electricity infrastructure has the biggest influence on economic growth..</em></p>

scholarly journals Impact of Digitalization on the Farmers in India: Evidence using Panel Data Analysis

2021 ◽  
Vol 6 (1) ◽  
pp. 5-12
Author(s):  
Rahul Singh Gautam ◽  
◽  
Venkata Mrudula Bhimavarapu ◽  
Dr. Shailesh Rastogi ◽  
◽  
...  
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Secondary Data ◽  
Development Model ◽  
Agriculture Sector ◽  
Economic Progress ◽  
New Development ◽  
The Impact ◽  
Financial Technology

The composition of digitalization and financial technology has brought about a new development model for the agriculture sector. What is the impact of digitization on India’s farmers? To answer this issue, this article examines the effects of digitalization on farmers in India using secondary data from 2018 to 2020, based on the idea of digitalization. It analyses the transmission of digitalization among Indian farmers using panel data analysis. The conclusions are as follows: Farmers' income can be significantly increased by digitalization, and farmers' digitization has resulted in agriculture sector development and contributed to economic progress.

scholarly journals Learning Losses Caused by the Covid-19 Pandemic - A Significant Threat to Economic Development

2021 ◽  
Vol 4 (1) ◽  
pp. 92
Author(s):  
Tea Kasradze ◽  
Nino Zarnadze
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
International Organizations ◽  
Positive Impact ◽  
Secondary Data ◽  
Market Demand ◽  
Local Policy ◽  
Education Systems ◽  
Increase Productivity ◽  
The Impact

Numerous studies show that there is a positive correlation between education and the economic development of the country. Strong education systems have a positive impact not only on the success of individuals but also on the economy of the entire country. Graduates equipped with the skills required by the labor market can easily find a place in this market. Knowledge and skills relevant to market demand increase productivity have a positive impact on economic growth and development. Unfortunately, Covid Pandemic has severely damaged the education systems. Governments, scientists, and experts provide us with statistical information daily around the world about both the slowdown in economic growth as a whole and the problems of individual sectors of the economy. These are the problems and numbers that are already visible and it can be said that the losses are easily measurable. However, the damage caused to the economy by education systems affected by the pandemic will be felt by countries and humanity years later, nor will it be easy to calculate. The problem is even more difficult in poor and developing countries. This paper aims to study the impact of the Covid Pandemic on the education system and economy in Georgia. The research examines the reports and studies of various international organizations, analyzing the secondary data obtained from them. Local policy documents, government reports and regulations, and papers of different researchers have also been studied, conclusions have been made and relevant recommendations have been developed.

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