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

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.

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ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PENYALURAN PENGARUH TINGKAT SUKU BUNGA, NISBAH BAGI HASIL DEPOSITOMUDHARABAH, DAN PERTUMBUHAN EKONOMI TERHADAPPERTUMBUHAN DEPOSITO MUDHARABAH DI BANK SYARIAH MANDIRI PERIODE 2006:01-2011:12

Media Ekonomi ◽

10.25105/me.v20i3.788 ◽

2017 ◽

Vol 20 (3) ◽

pp. 73

Author(s):

Iqra Aulia

Keyword(s):

Interest Rate ◽

Unit Root Test ◽

Secondary Data ◽

Dynamic Impact ◽

Causality Test ◽

Var Analysis ◽

Disturbance Factor ◽

Vector Auto Regression ◽

The Interest Rate ◽

Auto Regression

<p>Vector Auto Regression (VAR) is an analysis or statistic method which can be used to predict time series variable and to analyst dynamic impact of disturbance factor in the variable system. In addition, VAR analysis is very usefull to assess the interrelationship between economics variable. This research through the following test phases: unit root test, optimal lag test, granger causality test, and form a vector auto regression model (VAR). The data used in this research is interest rate (i), profit low sharing of mudharabah deposits (nBH), economic growth (gGDP, growth of mudharabah deposits volume (gVM) in the period 2006:01-2011:12. The effectiveness was measured by two indicators. This study used secondary data issued by Syariah Mandiri Bank & Bank Indonesia. The result of the study shows that response velocity of variable in growth of mudharabah deposits volume (gVM) towards shock instrument of interest rate(i) until reach the final target about 4 months. Thus we can conclude that growth of mudharabah deosits volume through Interest Rate is not effective in Indonesia period of 2006:01-2011:12. Keyword: Vector Auto Regression (VAR), growth of mudharabah deposits volume (gVM), The Interest Rate.</p>

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

Jurnal Kajian Ekonomi dan Pembangunan ◽

10.24036/jkep.v1i1.5364 ◽

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%.

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HUBUNGAN KAUSALITAS INVESTASI DENGAN PERTUMBUHAN EKONOMI INDONESIA

Signifikan Jurnal Ilmu Ekonomi ◽

10.15408/sjie.v2i1.2370 ◽

2013 ◽

Vol 2 (1) ◽

Author(s):

Fitri Amalia

Keyword(s):

Time Series ◽

Gross Domestic Product ◽

Private Sector ◽

Secondary Data ◽

Domestic Product ◽

Government Investment ◽

Causality Test ◽

Know How ◽

Vector Auto Regression ◽

Auto Regression

This research aim to know how the relation of causality between investment, in this case governmental investment and investment of private sector with growth of Indonesia. Data applied is data time series during 36 years and is secondary data. There are some variable applied in this research, that is: growth of chartered investment counsel proxy with value GDP, investment of government proxy with disbursement of government, investment of foreign private sector (PMA) and investment of domestic private sector (PMDN). Method applied analyst to the relation of causality is with approach of model Vector Auto Regression (VAR). To test there are no of the relation of causal between variable is applied [by] causality test Granger. Result of testing of Granger indicates that there are three the relation of concurrent. Based on the result, hence chartered gross domestic product (GDP), governmental investment and investment of domestic private sector (PMDN) in significant influences investment of foreign private sector (PMA) and not happened on the contraryDOI: 10.15408/sjie.v2i1.2370

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ANALISIS KAUSALITAS ANTARA KETIMPANGAN PENDIDIKAN, KETIMPANGAN PENDAPATAN, DAN KEMISKINAN DI INDONESIA

Jurnal Kajian Ekonomi dan Pembangunan ◽

10.24036/jkep.v2i1.8856 ◽

2020 ◽

Vol 2 (1) ◽

pp. 65

Author(s):

Nur Azmi Randa ◽

Sri Ulfa Sentosa

Keyword(s):

Income Inequality ◽

Causal Relationship ◽

Educational Inequality ◽

Descriptive Analysis ◽

Unit Root Test ◽

Secondary Data ◽

Stability Test ◽

Variable Response ◽

Causality Test ◽

Inductive Analysis

This study aims to find out the causal relationship between educational inequality, income inequality, and poverty in Indonesia. The data used are secondary data in the form of panel data from 2011 to 2018. Data analysis used is descriptive analysis and inductive analysis. In inductive analysis there are several tests, namely (1) Root Root Test (Unit Root Test), (2) Cointegration Test, (3) Optimum Lag Test, (4) Granger Causality Test, (5) Stability Test (Stability Test), (6) Variable Response Test (Impulse Response Finction), (7) Variance Decomposition Test. The results of this study indicate that: (1) There is a causal relationship between educational inequality and income inequality. (2) There is no causal relationship between inequality in education and poverty. (3) there is no causal relationship between income inequality and poverty. But there is a one-way relationship between income inequality and poverty.

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ANALISIS KAUSALITAS FERTILITAS DENGAN PERTUMBUHAN EKONOMI DAN KEMISKINAN DI SUMATERA BARAT

Jurnal Kajian Ekonomi dan Pembangunan ◽

10.24036/jkep.v2i3.10284 ◽

2020 ◽

Vol 2 (3) ◽

Author(s):

Robby Saputra ◽

Sri Ulfa Sentosa

Keyword(s):

Economic Growth ◽

Causal Relationship ◽

Direct Relationship ◽

Secondary Data ◽

Granger Causality Test ◽

Causality Test ◽

West Sumatra ◽

Causality Relationship ◽

Vector Auto Regression ◽

Auto Regression

Abstract: This study aims to determine the causal relationship between fertility, economic growth and poverty in West Sumatra. This type of research is descriptive and associative research. The data used are secondary data in the form of panel data from 2010 to 2017. The research methods used are: (1) Vector Auto Regression Analysis, (2) Granger Causality Test. The results showed that (1) There was no causality relationship between fertility and economic growth in West Sumatra, but there was a direct relationship between fertility and economic growth. (2) There is no causality relationship between fertility and poverty in West Sumatra, but there is a direct relationship between poverty and fertility. (3) There is no causal relationship between economic growth and poverty in West Sumatra, but there is a direct relationship between poverty and economic growth.Keywords: Fertility, Economic Growth, Poverty

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

Jurnal Kajian Ekonomi dan Pembangunan ◽

10.24036/jkep.v1i1.5354 ◽

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

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ANALISIS KAUSALITAS STUNTING, PERTUMBUHAN EKONOMI DAN KEMISKINAN DI INDONESIA

Jurnal Kajian Ekonomi dan Pembangunan ◽

10.24036/jkep.v2i2.8964 ◽

2020 ◽

Vol 2 (2) ◽

Author(s):

Dedek Aulia Damayanti ◽

Sri Ulfa Sentosa

Keyword(s):

Economic Growth ◽

Significant Relationship ◽

Descriptive Analysis ◽

Unit Root Test ◽

Secondary Data ◽

Granger Causality Test ◽

Variance Decomposition ◽

Causality Test ◽

Causality Relationship ◽

Inductive Analysis

This study intends to look at the causality relationship between stunting, economic growth, and poverty in Indonesia. the type of data used is secondary data in the form of panel data from 2011 to 2018. Analysis of the data used is descriptive analysis and inductive analysis. In inductive analysis there are several tests, namely (1) Root Root Test (Unit Root Test), (2) Cointegration Test, (3) Optimum Lag Test, (4) Granger Causality Test, (5) Stability Test, (6) Impulse Response Finction Test, (7) Variance Decomposition Test. The results of this study show that: (1) There is a significant relationship exists between stunting and economic growth. (2) There is no significant relationship between economic growth and poverty. (3) there is a significant relationship between poverty and stunting in Indonesia.

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Relationship Economic Growth with Foreign Direct Investment

Journal of International Conference Proceedings ◽

10.32535/jicp.v2i5.929 ◽

2020 ◽

Vol 3 (3) ◽

pp. 49-68

Author(s):

Prince Charles Heston Runtunuwu

Keyword(s):

Economic Growth ◽

Foreign Direct Investment ◽

Foreign Investment ◽

Direct Investment ◽

Positive Impact ◽

Secondary Data ◽

Causality Test ◽

Long Run ◽

Causality Relationship ◽

The One

This study aims to determine the one-way causality relationship between foreign investment and economic growth, a one-way causality relationship between economic growth and foreign investment, and a two-way causality relationship between foreign investment and economic growth in Indonesia. This was conducted in Indonesia, the data are secondary data taken using the method time series from 1971 to 2018 from the official websites, the Investment Coordinating Board, and literature sources, Foreign Investment and Gross Domestic Product. (1) in the long run the Economic Growth variable has a significant effect on Foreign Direct Investment, and vice versa; and (2) the Foreign Direct Investment variable has a significant effect on Economic Growth; (3) in the short term, the Economic Growth variable has an influence on Foreign Direct Investment, and vice versa; and the Foreign Direct Investment variable has an influence on Economic Growth. It is possible to have a better long-term relationship, bringing positive impact on economic growth in Indonesia when investment in Indonesia increases. Conversely, when economic growth decreases, it means that foreign investment is also low. Granger Causality test, shows a two-way causality relationship between Economic Growth and Foreign Direct Investment and vice versa. It is necessary to maintain growth to attract foreign direct investment, as well as foreign investment. Investment climate needs to be improved enabling to invest in Indonesia.

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Pengaruh penanaman modal dalam Negeri, penanaman modal asing dan ekspor terhadap PDRB Provinsi Jambi Periode 2000- 2016

e-Journal Perdagangan Industri dan Moneter ◽

10.22437/pim.v8i3.7273 ◽

2020 ◽

Vol 8 (3) ◽

pp. 155-164

Author(s):

Tarmizi Tarmizi ◽

Siti Hodijah ◽

Rosmeli Rosmeli

Keyword(s):

Quantitative Analysis ◽

Foreign Investment ◽

Descriptive Analysis ◽

Domestic Investment ◽

Analysis Method ◽

Analysis Methods ◽

Study Results ◽

Investment Growth

This study aims to analyze the development of GRDP, domestic investment, foreign investment, and exports in Jambi Province for the period 2000-2016, as well as to study the effect of domestic investment, foreign investment, and exports on the growth of GRDP of Jambi Province in the period 2000-2016. 2016. This research uses descriptive and quantitative analysis methods. The descriptive analysis method is used to analyze the development of each research variable, namely domestic investment, foreign investment, and exports. Quantitative analysis methods are used to analyze the effect of domestic investment, foreign investment, and exports on the growth of GRDP in Jambi province for the period 2000-2016. Based on the study results, the Jambi Province GRDP growth for the 2000-2016 period was 7.21 percent, domestic investment growth was 11.64 percent, foreign investment was 18.69 percent, and export development was 17.83 percent. And during the period 2000-2016, domestic investment, foreign investment, and exports had a significant effect on GRDP growth in Jambi Province. Keywords: Domestic investment, Foreign investment, Exports, PDRB Growth

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Carbon Dioxide Emissions, Urbanization Level and Industrial Structure: Empirical Evidence from North China

10.21203/rs.3.rs-342919/v1 ◽

2021 ◽

Author(s):

Zhuoya Siqin ◽

Dongxiao Niu ◽

Mingyu Li ◽

Hao Zhen ◽

Xiaolong Yang

Keyword(s):

Carbon Dioxide ◽

Carbon Dioxide Emissions ◽

North China ◽

Industrial Structure ◽

Unit Root Test ◽

Panel Cointegration ◽

Test Panel ◽

Causality Test ◽

Cross Sectional ◽

Urbanization Level

Abstract This paper aims to examine the nexus among carbon dioxide (CO2) emissions, urbanization level and industrial structure in North China over the period 2004–2019, according to an expanded Cobb-Douglas production function. The panel econometric techniques are employed to complete the empirical analysis, including cross-sectional correlation test, panel unit root test, panel cointegration test and panel Granger causality test. The empirical results support the long-term equilibrium relationship among CO2 emissions, urbanization level and industrial structure in North China, and the urbanization level contributes most to CO2 emissions, followed by fossil energy consumption. Furthermore, the bidirectional causality between CO2 emissions and urbanization level and unidirectional causality from industrial structure to CO2 emissions are found in North China, indicating that urbanization level and industrial structure have significant impacts on CO2 emissions. Finally, according to the empirical findings, several policy suggestions are proposed for the purpose of reducing CO2 emissions in North China.

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