scholarly journals REGRESI NONPARAMAETRIK SPLINE PADA DATA LAJU PERTUMBUHAN EKONOMI DI KALIMANTAN

2020 ◽  
Vol 14 (3) ◽  
pp. 343-356
Author(s):  
Tirta Purnaraga ◽  
Sifriyani Sifriyani ◽  
Surya Prangga

The Economic Growth Rate (EGR) is an important indicator to measure the success of economic development.The welfare and progress of an economy is determined by the amount of growth shown by changes in the quantity of goods and services produced nationally. High economic growth is a goal that is expected to be achieved in a developing country. Many factors affect EGR in Kalimantan, so it is necessary to do modeling to find out the factors that significantly affect EGR. This study uses 6 factors that are suspected to influence EGR, namely the labor force participation rate, the number of large and medium industries, the average length of schooling, regional income and expenditure budgets, general allocation funds and rice productivity. The data is 2017 data obtained from the Central Statistical Agency (CSA) in 5 provinces in Kalimantan. The method used to model EGR is spline nonparametric regression and obtained the optimal knot point with the smallest GCV (Generalized Cross Validation) value of three knots. Based on the research results obtained an R2 of 82.15 percent which shows that the model formed is suitable to be used to model data patterns and there are 6 variables that have a significant effect on EGR namely labor force participation rates, number of large and medium industries, average length of schooling, regional income and expenditure budgets, general allocation funds and rice productivity.

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


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.


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. 


2019 ◽  
Vol 1 (1) ◽  
pp. 177
Author(s):  
Nilma Dely ◽  
Syamsul Amar ◽  
Alpon Satrianto

This study aims to determine and analyze the effect of Foreign Investment (PMA), Domestic Investment (PMDN) on Human Resource Quality (HR) and Labor Force Participation Rate (TPAK) on the Economy in Indonesia, where the quality of human resources is measured using the average length school residents aged 15 years and over. This type of research is descriptive and associative research, namely research that describes the research variable and finds the presence or absence of influence between independent variables and dependent variables. The types of data in this study are secondary data and panel data from 2012-2016 per Province in Indonesia. Data analysis used is descriptive analysis and inductive analysis. In inductive analysis there are several tests, namely: Panel Regression Model, Classical Assumption Test, t Test. The results of this study indicate that (1) Foreign investment (PMA) has a positive and significant effect on the economy in Indonesia, (2) domestic investment (PMDN) has a negative and not significant effect on the economy in Indonesia, (3) the quality of human resources has a positive effect and significant to the economy in Indonesia, (4) the level of labor force participation (TPAK) has a positive and significant effect on the economy in Indonesia. By using α = 5%.


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.


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


2018 ◽  
Author(s):  
Andi Sessu

Export trade balance, oil and non-oil imports, Indonesia is in an active state or economy to prosper, while the results of multiple regression analysis showed that the export of non oil/gas, non oil/gas import, oil and gas imports and economic growth positive effect on the labor force participation rate, which means every increased four variables also increased labor force participation rate, while oil and gas exports have negative effect means that any increased export of oil and gas resulting in a decline in labor force participation rates and significant effect of all the variables of the labor force participation rate in Indonesia. Multiple correlation coefficients obtained r = 0.998 shows the effect of variable export of non oil/gas, non oil/gas import, export of oil and gas, oil and gas imports, economic growth together very strong and the coefficient of determination together the five variables can be R = 0.996 shows the percentage contribution of influence together of 99% means that only 0.01% contribution of other variables influence the level of labor force participation in Indonesia. It can be concluded that the development of oil and gas trade and non-oil and gas in Indonesia still need cooperation between individual communities, private sector, civil society and government in an effort to increase trade in Indonesia, because it is very big influence on the labor force participation rate that could lower the unemployment rate and can automatically reducing poverty, because unemployment and poverty in Indonesia is still high when compared with some other countries in the world


2019 ◽  
Vol 8 (2) ◽  
pp. 82-95
Author(s):  
Tri Utari ◽  
Junaidi Junaidi ◽  
Hardiani Hardiani

This research aims to analyze the state of population growth, dependency ratio, labor force participation rate, contribution of the agricultural sector and economic growth in regencies/cities in Jambi Province. In addition, it also analyzes the influence of population growth, the dependency ratio, the level of labor force participation and the contribution of the agricultural sector to economic growth in regencies/cities in Jambi Province in 2012-2017. The method of analysis in this research is panel data analysis with the fixed effect method. The results of the study provide the conclusion that population growth and the dependency load ratio have a positive and significant effect on economic growth in regencies/cities in Jambi Province. The level of labor force participation and the contribution of the agricultural sector have no significant effect on economic growth in the regencies/cities of Jambi Province. Keywords: Population Growth, Dependency Ratio, Labor Force Participation Rate, Agricultural Sector Contribution, and Economic Growth.


2021 ◽  
Vol 16 (1) ◽  
pp. 17-27
Author(s):  
Ratnaningsih Hidayati

Investment and labor are factors that affect the economic growth of a region. Economic growth is measured by Gross Regional Domestic Product (GRDP). The purpose of this study is to explain the effect of investment in the mining sector and the labor force participation rate on the GRDP of South Kalimantan. This study employs a quantitative approach with secondary data on macroeconomic indicators obtained from the Central Statistics Agency of South Kalimantan. The data used is panel data which is a combination of time series data with cross-section data. The estimation results of the Fixed Effect Model show that foreign investment, domestic investment, and the level of labor force participation simultaneously have a significant effect on economic growth in South Kalimantan. Partially, foreign investment on mining sector has a negative and insignificant effect; domestic investment on mining sector has a positive and significant effect, and Labor Force Participation Rate has a negative and significant effect on economic growth in South Kalimantan


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