ANALISIS KAUSALITAS FAKTOR-FAKTOR PERTUMBUHAN EKONOMI DI INDONESIA

2019 ◽  
Vol 1 (4) ◽  
Author(s):  
Yondri Fadhli ◽  
Syamsul Amar B ◽  
Alpon Satrianto
Keyword(s):  
Economic Growth ◽  
Causal Relationship ◽  
Money Supply ◽  
Time Series Data ◽  
Financial Institution ◽  
Secondary Data ◽  
Series Data ◽  
The Government ◽  
Causality Model ◽  
Auto Regression

The purpose of this study is to find out: How far is the Causality Relationship between the Amount of Money Supply, Investment, Savings and Economic Growth in Indonesia. This type of research is descriptive and associative. The type of data is secondary data. This study uses Time series data from 2005 Q1-2018 Q4 using the Vector Auto Regression (VAR) and Vector Estimation Causality Model (VECM) approaches. The results of this study show that: (1) there is a causal relationship between the money supply and economic growth. (2) There is no causal relationship between Investment and Economic Growth in Indonesia. (3) There is no causal relationship between Economic Growth Savings in Indonesia, but there is a one-way relationship namely Economic Growth affecting Savings. Based on the results of this study, the authors advise the Government to keep the national economy more stable and in a healthy financial institution. This will be able to facilitate the circulation of money in the community so that economic activity grows well.

scholarly journals KAUSALITAS INFRASTRUKTUR TRANSPORTASI, FOREIGN DIRECT INVESTMENT (FDI) DAN PERTUMBUHAN EKONOMI DI INDONESIA

Jurnal Ecogen ◽  
2019 ◽  
Vol 1 (3) ◽  
pp. 659
Author(s):  
Hana Raghdsifa A W ◽  
Hasdi Aimon ◽  
Mike Triani
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Causal Relationship ◽  
Direct Investment ◽  
Time Series Data ◽  
Secondary Data ◽  
Transportation Infrastructure ◽  
Series Data ◽  
Var Analysis ◽  
Auto Regression

The aims of this study are to analyze the causal relationship between transportation infrastructure, foreign direct investment (FDI) and economic growth in Indonesia. The type of research used was descriptive associative. This study used secondary data and using time series data from 1987-2017 which were analyzed using Vector Auto Regression (VAR) analysis and continued with VECM analysis. The results of the VAR analysis have indicated that there is a causal relationship between the variables of transportation infrastructure and foreign direct investment (FDI), there is a one-way relationship between the variables of transportation infrastructure affecting economic growth and there is a one-way relationship between economic growth variables affecting foreign direct investment (FDI).  Keywords: Transportation Infrastructure, foreign direct investment (FDI), economic growth (GDP)

scholarly journals THE INFLUENCE OF SMALL AND MEDIUM ENTERPRISE GROWTH, INVESTMENT, AND LABOR ON ECONOMIC GROWTH IN BATAM CITY

2020 ◽  
Vol 9 (1) ◽  
pp. 31
Author(s):  
Intan Utna Sari ◽  
Asron Saputra
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Small And Medium Enterprises ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Series Data ◽  
Analysis Model ◽  
The Government ◽  
Medium Enterprises

One of the important benchmarks in determining the success of economic development is economic growth. The role of the government in achieving development success is to determine the direction of development policies and to achieve these development targets a good development plan is needed to realize stable economic growth in order to improve people's welfare, namely by increasing Small and Medium Enterprises, Investment and Manpower. This study aims to determine the simultaneous and partial effect of Small and Medium Enterprises, Investment and Labor on the economic growth of Batam City. The data source is secondary data using panel data consisting of time series data for three years and cross section data of nine districts which resulted in 45 observations. The analysis technique used to solve the problem in this study is the multiple linear regression analysis model. The results of this study indicate that in terms of small and medium enterprises, investment and labor have a significant effect on economic growth in Batam City. This indicates that the number of SMEs (Small and Medium Enterprises), Investment and Manpower in Batam City can determine the level of economic growth in Batam City. This is because SMEs, investment and labor are activities that can produce goods or services. Partially Small and Medium Enterprises, Investment and Labor have a positive and significant effect on economic growth in Batam City, meaning that if the number of Small and Medium Enterprises, Investment and Labor is increased, economic growth will also increase.

scholarly journals Financial Development, Remittances Inflows and Economic Growth in Nigeria: A Time Series Analysis

2020 ◽  
pp. 37-43
Author(s):  
Eric Olabode Olabisi ◽  
Sunday Oseiweh Ogbeide
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Financial Development ◽  
Time Series Data ◽  
Financial Institution ◽  
Series Data ◽  
Significant Variable ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
The Government

This study examines whether financial development promotes remittances inflows and Nigerian economic growth. Using a time-series data for a period of 1985-2017, the Autoregressive Distributed Lag (ARDL) technique was employed. The results suggest that financial development in Nigeria exerted no significant impact on economic growth. It is an indication that financial development is not a significant variable for promoting remittances inflows into Nigeria. However, the study concludes that remittances inflows are a substitute for promoting individual’s financial business opportunities and economic growth. The study therefore recommends that the government should strengthen the Nigeria financial institution, and also institute a financial reform initiative that can enhance financial security as well as ease of accessing remittances inflows.

scholarly journals PENGARUH PAJAK, PENANAMAN MODAL DALAM NEGERI (PMDN) DAN TENAGA KERJA TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA

2019 ◽  
Vol 1 (2) ◽  
pp. 533
Author(s):  
Melni Yunita ◽  
Sri Ulfa Sentosa
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
High Capacity ◽  
Secondary Data ◽  
Series Data ◽  
Annual Data ◽  
Significant Positive Effect ◽  
The Government ◽  
Security Guarantees ◽  
Positive Effect

This study aims to determine the effect simultaneously or partially between tax, investment (PMDN) and labor towards economic growth in Indonesia. The type of data in this study is secondary data and time series data in the form of annual data from 1987 to 2017, the analysis technique used in this study is multiple linear regression. Based on the results of testing, simultaneously tax, investment (PMDN) and labor have a significant effect on economic growth in Indonesia from 1987 to 2017. Partially the tax variable has a significant positive effect, investment (PMDN) has a significant positive effect, labor has a significant positive effect towards economic growth in Indonesia from 1987 to 2017. In the future, it is recommended that policy makers, especially the government, must maximize national tax acquisition as a source of development costs. Increasing the value of investment in Indonesia by providing better security guarantees to investors, simplifying the licensing process and keeping the Indonesian economy stable and conducive. In addition, increasing the capacity and skills of the workforce is also very necessary given the increasingly global competition and as an effort to attract third parties to come to areas that have high capacity resources.

scholarly journals Hypothesizing directional causality between the governance indicators and economic growth: the case of Afghanistan

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Mohammad Naim Azimi ◽  
Mohammad Musa Shafiq
Keyword(s):  
Economic Growth ◽  
Rule Of Law ◽  
Time Series Data ◽  
Political Stability ◽  
Wald Test ◽  
Series Data ◽  
Vector Autoregressive ◽  
Government Effectiveness ◽  
Governance Indicators ◽  
The Government

AbstractThis paper examines the causal relationship between governance indicators and economic growth in Afghanistan. We use a set of quarterly time series data from 2003Q1 to 2018Q4 to test our hypothesis. Following Toda and Yamamoto’s (J Econom 66(1–2):225–250, 1995. 10.1016/0304-4076(94)01616-8) vector autoregressive model and the modified Wald test, our empirical results show a unidirectional causality between the government effectiveness, rule of law, and the economic growth. Our findings exhibit significant causal relationships running from economic growth to the eradication of corruption, the establishment of the rule of law, quality of regulatory measures, government effectiveness, and political stability. More interestingly, we support the significant multidimensional causality hypothesis among the governance indicators. Overall, our findings not only reveal causality between economic growth and governance indicators, but they also show interdependencies among the governance indicators.

Impact of Health and Agriculture Financing on Economic Growth in Nigeria

2021 ◽  
Vol 7 (18) ◽  
pp. 37-58
Author(s):  
Rasaki Olufemi KAREEM ◽  
◽  
Olawale LATEEF ◽  
Muideen Adejare ISIAKA ◽  
Kamilu RAHEEM ◽  
...  
Keyword(s):  
Economic Growth ◽  
Federal Government ◽  
Causal Relationship ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Capital Expenditure ◽  
Government Expenditure ◽  
Health Sector ◽  
Series Data ◽  
The Impact

The study focused on the impact of health and agriculture financing on economic growth in Nigeria from 1981 to 2019. The study utilized the time series data which was extracted from Central Bank of Nigeria annual statistical bulletin. Unit Root test was performed with the use of Augmented Dickey-Fuller test in order to ascertain the stationarity of all the variables and they were all found to be stationary at order 1 in the two specified models (composite and disaggregated). Error Correction Model (ECM) was used to analyze the data in order to determine the speed of adjustment from the short run to the long run equilibrium state. Casualty test was used to confirm causal relationship among the variables of interests. The study revealed that Federal Government expenditure in Health sector has a significant effect on economic growth in Nigeria. Federal Government expenditure in Agricultural sector equally had a positive effect on economic growth but surprisingly not significant. Considering the disaggregated form, Federal Government capital expenditure in both Health and Agricultural sectors have positive and statistically significant effect on economic growth while Federal Government recurrent expenditure on health has a positive and statistically insignificant effect in economic. It was also revealed that there is causal relationship among the variables. Based on the findings, the study concluded that Federal Government Expenditure in Health Sectors and Agriculture Sectors have effect on economic growth in Nigeria.

CAUSAL RELATIONSHIP OF ENERGY CONSUMPTION AND ECONOMIC GROWTH – A CASE STUDY OF PAKISTAN

2021 ◽  
Vol 9 (1) ◽  
pp. 139-164
Author(s):  
Saddam Hussain ◽  
Chunjiao Yu
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Energy Consumption ◽  
Causal Relationship ◽  
Inflation Rate ◽  
Time Series Data ◽  
Consumer Price Index ◽  
Series Data ◽  
Relationship Of

This paper explores the causal relationship between energy consumption and economic growth in Pakistan, applying techniques of co-integration and Hsiao’s version of Granger causality, using time series data over the period 1965-2019. Time series data of macroeconomic determi-nants – i.e. energy growth, Foreign Direct Investment (FDI) growth and population growth shows a positive correlation with economic growth while there is no correlation founded be-tween economic growth and inflation rate or Consumer Price Index (CPI). The general conclu-sion of empirical results is that economic growth causes energy consumption.

scholarly journals PENGARUH KONSUMSI ENERGI DAN REZIM TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA

2019 ◽  
Vol 1 (2) ◽  
pp. 401
Author(s):  
Zakiah Husna ◽  
Idris Idris
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Renewable Energy Consumption ◽  
Energy Regime ◽  
Negative Effect ◽  
Positive Effect

This study aims to determine the effect of energy consumption and regime on economic growth in Indonesia. The data used is secondary data in the form of time series data from 1988-2017, with documentation and library study data collection techniques obtained from relevant institutions and agencies. the variables used are economic growth (GDP), non-renewable energy consumption, renewable energy consumption and regime, the research methods used are: (1) Multiple Regression Analysis (OLS), (2) Classical Assumption Test results of research stating that: ( 1) non-renewable energy consumption has a positive effect on economic growth in Indonesia. (2) consumption of renewable energy has a positive effect on economic growth in Indonesia. (3) the energy regime has a negative effect on economic growth in Indonesia. (4) non-renewable energy consumption, renewable energy consumption and energy regime have a significant effect on economic growth in Indonesia. so only the energy regime has a negative effect on economic growth in Indonesia.

scholarly journals ANALISIS FAKTOR PENENTU INDEKS HARGA SAHAM GABUNGAN DI INDONESIA

2019 ◽  
Vol 1 (4) ◽  
pp. 37
Author(s):  
Yulizar Fikri ◽  
Ali Anis
Keyword(s):  
Economic Growth ◽  
Foreign Exchange ◽  
Stock Price ◽  
Price Index ◽  
Time Series Data ◽  
Secondary Data ◽  
Coefficient Of Determination ◽  
Series Data ◽  
Foreign Exchange Reserves ◽  
Stock Price Index

This study aims to determine the analysis of the determinants of the composite stock price index in Indonesia. The independent variables in this study are inflation as X1, foreign exchange reserves as X2, exchange rates as X3, and economic growth as X4, and the dependent variable of the composite stock price index as Y. The data used are secondary data in the formof time series data from 2010Q1 until 2019Q2, with data collection techniques, namely documentation from Bank Indonesia publications, the Central Statistics Agency, investing. comsite and library research. The research methods used are: (1) Multiple Linear Regression, (2) Classical Assumption Test (3) coefficient of determination. The results of this study indicate that:(1) inflation does not significantly influence the composite stock price index. (2) foreign exchange reserves have a significant positive effect on the composite stock price index. (3) the rupiah exchange rate has an influence on the composite stock price index and (4) economic growth hasno significant effect on the composite stock price index.

scholarly journals ANALISIS PENGARUH REMITANSI, INVESTASI ASING LANGSUNG, IMPOR DAN PERTUMBUHAN EKONOMI DI INDONESIA

2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Regina Septriani Putri ◽  
Ariusni Ariusni
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Time Series Data ◽  
Positive Impact ◽  
Series Data ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
Positive Effect

Abstract : This study examined and analysis the effect of remittances, foreigndirect investment, imports, and economic growth in Indonesia in the long run andshort run. This study using Error Correction Model (ECM) method and using theannual time series data from 1989 to 2018. This study found that: (1) remittancehave an insignificant positive effect on economic growth in the long run and shortrun,(2)foreign direct investment have a significant positive impact on economicgrowth in the long run and short run, (3) import have an insignificant positiveimpact on economic growth both in the long run and short run. To increase theeconomic growth in the future, this study suggests the government to decresingimports of consume goods and increasing the inflow of capital goods, rawmaterial goods, remittances and foreign direct investment.Keyword : Remittance, Foreign Direct Investment, Import, Economic Growth andECM

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