PENGARUH PENANAMAN MODAL ASING (PMA), PENANAMAN MODAL DALAM NEGERI (PMDN), KUALITAS SUMBERDAYA MANUSIA (SDM), DAN TINGKAT PARTISIPASI ANGKATAN KERJA (TPAK) TERHADAP PEREKONOMIAN DI INDONESIA

2019 ◽  
Vol 1 (1) ◽  
pp. 177
Author(s):  
Nilma Dely ◽  
Syamsul Amar ◽  
Alpon Satrianto
Keyword(s):  
Human Resources ◽  
Labor Force ◽  
Labor Force Participation ◽  
Foreign Investment ◽  
Average Length ◽  
Descriptive Analysis ◽  
Participation Rate ◽  
Domestic Investment ◽  
Inductive Analysis

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%.

scholarly journals Investasi di Sektor Pertambangan dan Tingkat Partisipasi Angkatan Kerja Sebagai Determinan Pertumbuhan Ekonomi di Kalimantan Selatan

2021 ◽  
Vol 16 (1) ◽  
pp. 17-27
Author(s):  
Ratnaningsih Hidayati
Keyword(s):  
Economic Growth ◽  
Labor Force ◽  
Labor Force Participation ◽  
Foreign Investment ◽  
Time Series Data ◽  
Participation Rate ◽  
Labor Force Participation Rate ◽  
Series Data ◽  
Domestic Investment ◽  
Mining Sector

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

scholarly journals THE IMPACT OF POPULATION FACTORS ON ECONOMIC GROWTH OF BANGKA BELITUNG ISLANDS - INDONESIA

2021 ◽  
Vol 6 (2) ◽  
pp. 280
Author(s):  
Ayu Sapitri
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Life Expectancy ◽  
Population Growth ◽  
Labor Force ◽  
Labor Force Participation ◽  
Population Growth Rate ◽  
Average Length ◽  
Participation Rate ◽  
Labor Force Participation Rate

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

scholarly journals PENGARUH PMA, PMDN, TPAK, PDRB PERKAPITA, PENGELUARAN PEMERINTAH TERHADAP DISPARITAS PENDAPATAN JAWA

2020 ◽  
Vol 3 (2) ◽  
pp. 21-34
Author(s):  
Lorentino Togar Laut ◽  
Arinda Sita Putri ◽  
Yustirania Septiani
Keyword(s):  
Economic Growth ◽  
Labor Force ◽  
Labor Force Participation ◽  
Foreign Investment ◽  
Government Spending ◽  
Gdp Per Capita ◽  
Domestic Investment ◽  
Economic Prosperity ◽  
Income Disparities ◽  
Per Capita

AbstrakDistribusi pendapatan di Pulau Jawa masih belum merata, pertumbuhan ekonomi di Pulau Jawa belum mampu mencapai kesejahteraan ekonomi yang merata. Sehingga penelitian ini bertujuan untuk mengetahui bagaimana pengaruh penanaman modal asing, penanaman modal dalam negeri, tingkat partisipasi angkatan kerja, PDRB perkapita, dan pengeluaran pemerintah terhadap disparitas pendapatan di Pulau Jawa tahun 2008-2018. Jenis data adalah data sekunder yang bersumber dari Badan Pusat Statistik Indonesia dan Badan Koordinasi Penanaman Modal. Analisis data menggunakan regresi data panel Eviews 7. Hasil penelitian menunjukkan bahwa penanaman modal asing, penanaman modal dalam negeri dan pengeluaran pemerintah tidak berpengaruh signifikan terhadap disparitas pendapatan di Pulau Jawa tahun 2008-2018. Sedangkan variabel tingkat partisipasi angkatan kerja, PDRB perkapita, berpengaruh signifikan terhadap disparitas pendapatan di Pulau Jawa tahun 2008-2018. Dari seluruh variabel berpengaruh secara simultan terhadap disparitas di Pulau Jawa tahun 2008-2018.Kata Kunci :  Disparitas pendapatan; Kesejahteraan Ekonomi; Pertumbuhan Ekonomi;AbstractThe distribution of income in Java Island is still uneven, economic growth in Java has not been able to achieve equitable economic prosperity. So this study aims to determine how the effect of foreign investment, domestic investment, labor force participation rate, GDP per capita, and government spending on income disparities in Java in 2008-2018. The type of data is secondary  data sourced from the Indonesian Central Bureau of Statistics and the Investment Coordinating Board. Data analysis used Eviews 7 panel data regression. The results showed that foreign investment, domestic investment and government spending did not have a significant effect on income disparities in Java in 2008-2018. Meanwhile, the variable of the level of labor force participation, GDP per capita, has a significant effect on income disparities in Java in 2008-2018. Of all the variables simultaneously influence disparities in Java in 2008-2018. Keywords :  Income disparity; Economic Prosperity; Economic growth;

scholarly journals ANALISIS VARIABEL-VARIABEL YANG MEMPENGARUHI PERTUMBUHAN EKONOMI DI PROVINSI KEPULAUAN BANGKA BELITUNG TAHUN 2008-2015

2019 ◽  
Vol 3 (2) ◽  
pp. 124-138
Author(s):  
Syamsu Pratama
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Labor Force ◽  
Labor Force Participation ◽  
Unemployment Rate ◽  
Descriptive Analysis ◽  
Commodity Prices ◽  
Participation Rate ◽  
Labor Force Participation Rate ◽  
The Poor

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

scholarly journals PENGARUH INVESTASI LUAR NEGERI, PENDIDIKAN DAN TEKNOLOGI INFORMASI-KOMUNIKASI TERHADAP TINGKAT PARTISIPASI ANGKATAN KERJA DI INDONESIA

2019 ◽  
Vol 1 (3) ◽  
pp. 897
Author(s):  
Cherrly Wahyuni ◽  
Ali Anis
Keyword(s):  
Labor Force ◽  
Labor Force Participation ◽  
Foreign Investment ◽  
Participation Rate ◽  
Fixed Effect Model ◽  
Labor Force Participation Rate ◽  
Least Square ◽  
Information Communication ◽  
Result Show ◽  
Library Studies

This research aims toαexamined theαeffectαof foreign investment, education and information-communication technologhy on labor force participation rate in Indonesia with the selected model is the fixed effect model (FEM). Theαdata αused isαpanelαdataαduringαtheαperiod 2013-2017, with tewchnique of collecting documentation data and library studies obtained fromm relevant institution and agencies.The variables use are labor force participation rate, foreign invesment, education and information-communication technologhy . the research method used is Ordinary Least Square (OLS). The estimation result show that, foreign investment have a positive and its  significant effect on labor force participation rate in Indonesia. Education have a neegative and significannt effect on labor forcce participation rate in Indonesia. Information- communication technologhy have a negative and its  significant  effect on labor force participation rate in Indonesia. Meanwhile simultaneously foreign invesmnet, education and information-communication technologhy affect the labor force participation rate in Indonesia.

scholarly journals KAUSALITAS PENANAMAN MODAL DALAM NEGERI, PENANAMAN MODAL ASING DAN PENYERAPAN TENAGA KERJA DI INDONESIA

2020 ◽  
Vol 2 (1) ◽  
pp. 177
Author(s):  
Mutia Ferina ◽  
Ali Anis
Keyword(s):  
Foreign Investment ◽  
Descriptive Analysis ◽  
Panel Cointegration ◽  
Secondary Data ◽  
Test Panel ◽  
Domestic Investment ◽  
Causality Test ◽  
Vector Auto Regression ◽  
Auto Regression ◽  
Inductive Analysis

This study aims to determine and analyze the causality of Domestic Investment (PMDN), Foreign Investment (PMA), and Labor Absorption in Indonesia. This type of research is descriptive and associative research that is research that describes the research variables and find the presence or absence of causality between each of these variables. The type of data in this study are secondary data and panel data from 2013-2017 per Province in Indonesia. Analysis of the data used is descriptive analysis and inductive analysis. In inductive analysis there are several tests, namely: Analysis of Vector Auto Regression (VAR), Empirical Model Analysis of Vector Auto Regression (VAR), Steps of Analysis of Vector Auto Regression (VAR) such as: Root Unit Test (Panel Root Test), Coordination Test ( Panel Cointegration Test), Optimum Lag, Granger Causality Test, Stability Test, Implementation of Vector Auto Regression (VAR) Models. The results of this study indicate that (1) domestic investment and foreign investment are not qualified in Indonesia, (2) foreign investment and absorption of unsuspected workers in Indonesia, (3) domestic investment and absorption of qualified workers in Indonesia.

scholarly journals ANALISIS KAUSALITAS PERTUMBUHAN EKONOMI, PENGELUARAN PEMERINTAH DAN KUALITAS SUMBERDAYA MANUSIA DI PROVINSI SUMATERA BARAT

2019 ◽  
Vol 1 (1) ◽  
pp. 97
Author(s):  
Hanifa Novela ◽  
Hasdi Aimon
Keyword(s):  
Economic Growth ◽  
Human Resources ◽  
Government Spending ◽  
Descriptive Analysis ◽  
Government Expenditure ◽  
Secondary Data ◽  
Literature Study ◽  
Causality Test ◽  
Inductive Analysis

This study aims to analyze the causal relationship between economic growth, government expenditure and the quality of human resources in West Sumatra. This type of research is descriptive and associative research, where the data used is secondary data in the form of panel data from 2010 to 2017 with the technique of collecting documentation data and literature study obtained from related institutions and institutions. The data analysis used is the data used is descriptive analysis and inductive analysis. In inductive analysis there are several tests, namely: (1) Unit Root Test (2)Cointegration Test (3) Optimal Lag Determination (4) Granger Causality Test (5) PVAR Test. The results of this study indicate that (1) economic growth and government expenditure have a one-way relationship where economic growth affects government spending while government spending does not affect economic growth (2) economic growth and quality of resources humans have a one-way relationship where economic growth affects the quality of human resources and the quality of human resources does not affect economic growth (3) government expenditure and the quality of human resources do not have one-way or two-way relationships ( causality) where government spending does not affect the quality of human resources as well as the quality of human resources does not affect government spending during the study period

scholarly journals PEMODELAN REGRESI SPASIAL DEPENDENSI PADA TINGKAT PARTISIASI ANGKATAN KERJA DI INDONESIA TAHUN 2020

2021 ◽  
Vol 15 (4) ◽  
pp. 687-696
Author(s):  
Rahmayunda Usali ◽  
Nurwan Nurwan ◽  
Franky Alfrits Oroh ◽  
Muhammad Rezky Friesta Payu
Keyword(s):  
Labor Force ◽  
Labor Force Participation ◽  
Average Length ◽  
Spatial Regression ◽  
Participation Rate ◽  
Labor Force Participation Rate ◽  
Spatial Error ◽  
Factors Affecting ◽  
Sar Model ◽  
Spatial Autoregressive

This study discusses the regression modeling with spatial dependence to determine the factors affecting the labor force participation rate in Indonesia 2020. The spatial regression models used in this study are spatial Autoregressive Model (SAR) and Spatial Error Model (SEM), The finding concludes that the SAR model is better used in spatial modeling. At the same time, provincial minimum wage, the average length of school or educational level, and population are factors that affect the labor force participation rate in Indonesia 2020.

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
Keyword(s):  
Economic Growth ◽  
Labor Force ◽  
Labor Force Participation ◽  
Average Length ◽  
Participation Rate ◽  
Regional Income ◽  
Important Indicator ◽  
Rice Productivity ◽  
Goods And Services ◽  
Central Statistical

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.

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