scholarly journals Analisis determinasi tingkat kemiskinan di kabupaten/kota Provinsi Jambi

2021 ◽  
Vol 10 (1) ◽  
pp. 47-58
Author(s):  
Rekha Alfionika ◽  
Yulmardi Yulmardi ◽  
Hardiani Hardiani

This study aims to: 1) To analyze economic growth, unemployment rates, education levels, labor force participation rates (TPAK) and poverty rates in Jambi Province districts / cities in 2013-2018. 2) To analyze the effect of economic growth, unemployment rate, education level and labor force participation rate (TPAK) on poverty levels in Jambi Province in 2013-2018. Based on the results of panel data regression, it can be concluded that economic growth, unemployment rate, education level and TPAK together have a significant effect on poverty levels in districts / cities in Jambi Province. Partially, the variable of economic growth and the level of education have a significant and negative effect on the level of poverty, while the variable unemployment rate and the level of labor force participation do not significantly influence the level of poverty in the districts / cities in Jambi Province.

2019 ◽  
Vol 3 (2) ◽  
pp. 124-138
Author(s):  
Syamsu Pratama

Economic growth of a region can assess from various aggregate sizes, one of them is GDRP (Gross Regional Domestic Product). Based on theory, GDRP can influenced by several variables, including world commodity prices which have the largest share of GDP, labor force participation rate (LFPR), Human Development Index (HDI), income inequality, open unemployment rate and percentage of the poor. In 2015 Bangka Belitung Islands Province GRDP had a share of around 0.5 percent of Indonesia's GDP. The largest share is West Bangka Regency with 11.46 trillion rupiahs, while the smallest one is East Belitung with 6.112 trillion rupiahs.To find out picture of economic growth and the influence of variable prices of palm oil commodities, LFPR, HDI income inequality, open unemployment and the percentage of the poor on economic growth in the Bangka Belitung Islands Province 2008-2015, the method used is descriptive analysis and panel data regression.The best model for estimating GDRP growth in Bangka Belitung Islands Province in 2008-2015 is the fix effect model with Seemingly Uncorrelated Regression Method. With alpha 5 percent, the variables that significantly influence economic growth are HDI, the percentage of the poor, labor force participation rate (LFPR), income inequality, open unemployment rate and world commodity prices.economic growth


2017 ◽  
Vol 4 (2) ◽  
pp. 217 ◽  
Author(s):  
Adnan Khaliq ◽  
Dilawar Khan ◽  
Sultan Akbar ◽  
Muhammad Hamayun ◽  
Barkat Ullah

Female labor force plays a significant role in the economic development of a country. The core objective of this paper is to examine the nexus between female labor force participation rate and Pakistan’s economic growth using time series data for the period 1990-2014. The data was extracted from World Development Indicators database. Augmented-Dickey Fuller (ADF) test was applied to examine the data for unit root. The results show that both the variables--- female labor force participation rate and economic growth---are stationary at first difference i.e. I(1). The error correction model (ECM) and Johansen co-integration tests were used to examine the co-integration relation between the variables. The econometric results conclude that there is long-run and a U-shaped link between economic growth and women labor force participation rate of Pakistan. The results conclude that lower female labor force participation rate leads to lower economic growth in Pakistan. This paper has important policy implications, suggests that policies intend to remove such barriers could help to enhance the Pakistan’s economic growth.


Jurnal Ecogen ◽  
2018 ◽  
Vol 1 (4) ◽  
pp. 162
Author(s):  
Syurifto Prawira

This study aims to analyze the effect of economic growth, provincial minimum wage, and education level on open unemployment rate in Indonesia in 2011-2015, either simultaneously or partially. Using panel data with Fixed Efect Model (FEM) approach and using secondary data of 33 provinces in Indonesia. The model estimation results show that the variable of economic growth, provincial minimum wage, and education level simultaneously have significant effect on open unemployment rate in Indonesia. While the partial variable of economic growth has a negative effect but no significant effect on the unemployment rate. The provincial minimum wage variable is partially positive and significant to the unemployment rate. The variable of educational level also have positive and significant effect to unemployment rate. The government is expected to pay serious attention to economic growth, minimum wage system, improving the quality of education, the issue of availability of employment opportunities. Keyword: Economic Growth, Wage, Education, and Unemployment


Media Ekonomi ◽  
2019 ◽  
Vol 27 (1) ◽  
pp. 71
Author(s):  
Muhammad Ibnu Fatsabit ◽  
Husna Leila Yusran

<em>This study aim is to see the influence of economic openness, education level, and unemployment rate toward against income inequality at the provincial level in Indonesia.</em> <em>This study uses panel data regression analysis by using Eviews 8 analysis tools. The data used in this study is secondary data consisting of gini ratio, export/GDRB ratio, import/GDRB ratio, foreign direct investment/PDRB ratio, unemployment rate and average length of school, at 33 provinces in Indonesia in the period of 2007 to 2016. </em><em>The results obtained show that only the export ratio and unemployment rate have an effect on the level of inequality in Indonesia. The export ratio has a positive and significant effect, while the unemployment rate variable has a significant negative effect.</em>


2021 ◽  
Vol 6 (2) ◽  
pp. 280
Author(s):  
Ayu Sapitri

This study aims to analyze and determine the effect of population factors on economic growth in the Province of the Bangka Belitung Islands. The analysis method used is panel data regression. The type of data is quantitative data in the form of ADHK GRDP data by Regency/City, population growth rate, labor force participation rate, average length of schooling and life expectancy from 2010-2019. The data source is secondary obtained from the Central Bureau of Statistics of the Bangka Belitung Islands Province. The results showed that the population growth rate had a negative and significant effect on economic growth while the labor force participation rate had a positive and insignificant effect on economic growth, the average length of schooling had a positive and significant effect on economic growth and life expectancy had a positive and significant effect on growth. the economy of the Bangka Belitung Islands Province. Simultaneously the population growth rate, labor force participation rate, average length of schooling and life expectancy have a positive and significant impact on economic growth in the Province of the Bangka Belitung Islands.Keywords: Economic Growth, Population Growth Rate, Labor Force Participation Rate, Average Length of Schooling, and Life Expectancy.JEL :  O40, J11, J21, P36


2018 ◽  
Vol 7 (2) ◽  
pp. 33
Author(s):  
Putri Susanti ◽  
Cut Putri Mellita Sari

This study aims to determine the effect of economic growth and population growth on labor force participation rate (LFPR) in Lhokseumawe city from 2007 to 2015. The data used in this study is secondary data obtained from the Central Bureau of Statistics (BPS) during 2007 to 2015. Data analysis method used in this research is Multiple Linear regression analysis method with the help of EVIEWS. The results partially (t-test) show that economic growth has a positive and significant effect on labor force participation rate (LFPR) in Lhokseumawe City from 2007 to 2015 and population growth has a positive and significant effect on labor force participation rate (LFPR) in Lhokseumawe City from 2007 to 2015. Simultaneously (F test) indicates that economic growth and population growth have a positive and significant effect on labor force participation rate (LFPR) in Lhokseumawe City from 2007 to 2015. Economic growth and population growth affect labor force participation rate (LFPR) by 14.7863% and the rest 85.2137% is influenced by other variables outside of this study. 


2021 ◽  
Vol 9 (3) ◽  
pp. 245-256
Author(s):  
Nengsi Puspita Dewi ◽  
Tanti Novianti ◽  
Dedi Budiman Hakim

This study analyzes the spatial autocorrelation of economic growth and labor and the factors that influence economic growth between districts/cities in the Southern Sumatra region. The data used is secondary data sourced from the Bureau of Central Statistics. The method used is a quantitative approach by applying the Moran Index, LISA, and multiple regression models. This study shows that the spatial autocorrelation of economic growth did not occur in the Southern Sumatra region. Meanwhile, the spatial autocorrelation of labor occurs in this region so that it affects each other. This study’s finding that jointly the variables of potential market indicator, fixed capital investment, human capital, and labor force participation rate have a significant effect on GRDP. Likewise, partially the potential market indicators, capital fixed asset investment, human resources, and labor force participation rates have a positive and significant effect on GRDP.


Author(s):  
Jonada Tafa

This thesis examines the relationship of corruption with economic growth, poverty and gender inequality in Albania. Albania is a developing country with a GDP growth rate of 1.6% (World Bank, 2012) and income inequality is a serious problem that government has to deal with. Regarding gender discrimination a lot of progress is made. The current government counts six female ministers in its body. Corruption in Albania is a widespread phenomenon and is found almost in every sector of life. TI CPI index ranks Albania in the 116 place out of 177 countries observed. To study this relationship a multiple regression analysis is conducted. Data for this analysis correspond to years 2000 to 2012 and is accessed from World Bank database. in this analysis CC from World Bank is the dependent variable, while FDI, GDP growth rate, GNI per Capita, Unemployment Rate, Proportion of Women in Parliamentary Positions and Women's share in Labor Force Participation Rate are the explanatory variables. The first two variables are used as indicators of economic growth. GNI per capita and Unemployment rate account for poverty, while the last two variables account for gender inequality. The results have shown that when the level of FDIs in Albania is increased government performance in control of corruption is improved. From the analysis it is understood that a decrease in unemployment rate would increase government performance in control of corruption. The results of the analysis showed that when unemployment rate increase, CC decreases. Regarding the link of corruption with GDP growth rate and GNI per capita, an inverse relationship is observed. With an increase in either GDP growth rate or GNI per capita, CC will decrease. Even the relationship with number of women in parliament and their share in labor force participation rate with corruption resulted to be negative. An increase in either proportion of women in parliamentary positions or share of them in labor force participation rate has shown to worsen government performance in control of corruption.


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