scholarly journals HUBUNGAN KAUSALITAS ANTAR KETIMPANGAN PENDAPATAN, PERTUMBUHAN EKONOMI, DAN KEMISKINAN DI INONESIA

2021 ◽  
Vol 3 (1) ◽  
pp. 79
Author(s):  
Dicky Fernando ◽  
Syamsul Amar
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Income Inequality ◽  
Regression Model ◽  
Causal Relationship ◽  
Annual Report ◽  
Time Series Data ◽  
Series Data ◽  
Panel Regression ◽  
Causality Relationship

This study aims to explain the causality relationship between income inequality, economic growth, and poverty in Indonesia. In this study using a panel regression model. And data used are time series data from 2011-2017, Consisting of 32 provinces. This data is obtained from BPS annual report. The result of this study indicate that (1) There is no causal relationship between economic growth and poverty (2) There is a causal relationship between income inequality and poverty (3) There is a one-way causal relationship between economic growth and income inequality.

scholarly journals ANALISIS KAUSALITAS PERTUMBUHAN EKONOMI, KEMISKINAN, DAN KETIMPANGAN PENDAPATAN DI SUMATERA BARAT

2019 ◽  
Vol 1 (3) ◽  
pp. 781
Author(s):  
Riri Agustina Fratiwi ◽  
Mike Triani
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Income Inequality ◽  
Regression Model ◽  
Causal Relationship ◽  
Annual Report ◽  
Time Series Data ◽  
Series Data ◽  
Panel Regression

This stuudy”explains the analysis causality of economic”growth poverty, and income”inequality in west”sumatera. The method used is to a panel regression model. This data uses a combination of time series data”from 2013-2017, which consists of 19 city districts. Data obtained from BPS annual”report (Statistics Indonesia). The”results of”this study show that (1) there is no”causall relationship”between”economic”growth and poverty (2) there is a causal relationship”between”economic”growth”and inequality (3) there is no causal relationship”between poverty”and income”inequaality.

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 Analisis pengaruh produktivitas tenaga kerja, ketimpangan pendapatan, dan investasi terhadap pertumbuhan ekonomi di Indonesia periode 2009-2018

2021 ◽  
Vol 5 (2) ◽  
pp. 93-110
Author(s):  
Dwi Desnasari
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Income Inequality ◽  
Labor Productivity ◽  
Cross Section ◽  
Time Series Data ◽  
Fixed Effect Model ◽  
Series Data ◽  
Analysis Tool ◽  
Effect Model

This study aims to analyze the effect of labor productivity, income inequality, and investment oneconomic growth in Indonesia. The data used is panel data consisting of time series data for 2009 -2018 and a cross section of 34 provinces in Indonesia. The variables used are economic growth,labor productivity, income inequality, and investment. The analysis tool used is panel dataregression, namely the Fixed Effect Model (FEM). The results showed that labor productivity had apositive and significant effect on economic growth, income inequality had a negative andsignificant effect, while investment had no effect on economic growth in 34 provinces in 2009-2018.

scholarly journals KAUSALITAS KONTRIBUSI INDUSTRI PARIWISATA DAN JUMLAH KUNJUNGAN WISATAWAN TERHADAP PERTUMBUHAN EKONOMI

2018 ◽  
Vol 7 (4) ◽  
pp. 330
Author(s):  
COKORDA BAGUS YUDISTIRA ◽  
I WAYAN SUMARJAYA ◽  
LUH PUTU IDA HARINI
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Causal Relationship ◽  
Time Series Data ◽  
Tourism Industry ◽  
Series Data ◽  
Var Model ◽  
Vector Autoregressive ◽  
Foreign Tourist ◽  
The World

Bali is known as one of the most popular tourism destination in the world. The number of tourist visit to Bali increases every year. In 2010, there roughly 7 millions tourist visits to Bali and reach up to 14 million people by the end of 2017. This increased in number may affect the growth of tourism industries and economic growth in Bali Province. This study aims to analyze the patterns of causal relationship between tourism industry receipts, tourist visits, and economic growth in Bali based on time series data using vector autoregressive (VAR) model. The results conclude the following: (i) foreign tourist visits is significantly affect economic growth. In addition, economic growth, domestic tourist visits, and foreign tourist visits are significantly impact to tourism industry receipts, (ii) economic growth would affect the tourism industry receipts in the next four consecutive months, (iii) the forecasting result of economic growth with VAR model is highly accurated with MAPE 2%.

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.

scholarly journals ANALISIS KAUSALITAS KEBIJAKAN FISKAL EKSPANSIF, KEBIJAKAN MONETER EKSPANSIF DAN PERTUMBUHAN EKONOMI DI INDONESIA

2020 ◽  
Vol 2 (1) ◽  
pp. 55
Author(s):  
Fadhliah Yuniwinsah ◽  
Ali Anis
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Monetary Policy ◽  
Fiscal Policy ◽  
Time Series Data ◽  
Vector Autoregression ◽  
Series Data ◽  
Vector Autoregression Model ◽  
Autoregression Model

This study examined the causality between expansionary fiscal policy, expansionary monetary policy and economic growth in Indonesia’s using a time series data with vector autoregression model (VAR) in the period of 1969-2018. The results of this study showed that are there is no causality between expansionary fiscal policy and expansionary monetary policy but there one-way relationship between them, it is the expansionary monetary policy gives influence to expansionary fiscal policy. There is no causality between expansionary fiscal policy and economic growth but there one-way relationship between them, It is economic growth gives influence to expansionary fiscal policy. And there is no causality between expansionary monetary policy and economic growth but there one-way relationship between them, it is economic growth gives influence to expansionary monetary policy.

scholarly journals Political Stability and its Impact on Economic Growth of Pakistan (1988-2018): A Time Series Analysis

2020 ◽  
Vol 6 (1) ◽  
pp. 273-282
Author(s):  
Majid Hussain Phul ◽  
Muhammad Saleem Rahpoto ◽  
Ghulam Muhammad Mangnejo
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Time Series Data ◽  
Political Stability ◽  
Series Data ◽  
Explanatory Variables ◽  
Long Run ◽  
Short Run ◽  
The Impact ◽  
Positive Effect

This research paper empirically investigates the outcome of Political stability on economic growth (EG) of Pakistan for the period of 1988 to 2018. Political stability (PS), gross fixed capital formation (GFCF), total labor force (TLF) and Inflation (INF) are important explanatory variables. Whereas for model selection GDPr is used as the dependent variable. To check the stationary of time series data Augmented Dickey Fuller (ADF) unit root (UR) test has been used,  and whereas to find out the long run relationship among variables, OLS method has been used. The analysis the impact of PS on EG (EG) in the short run, VAR model has been used. The outcomes show that all the variables (PS, GFCF, TLF and INF) have a significantly positive effect on the EG of Pakistan in the long run period. But the effect of PS on GDP is smaller. Further, in this research we are trying to see the short run relationship between GDP and other explanatory variables. The outcomes show that PS does not have such effect on GDP in the short run analysis. While GFCF, TLF and INF have significantly positive effect on GDP of Pakistan in the short run period.

scholarly journals How applicable is export-led growth and import-led growth hypotheses to South African economy?

2015 ◽  
Vol 4 (2) ◽  
pp. 15-24
Author(s):  
Ntebogang Dinah Moroke ◽  
Molebogeng Manoto
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Adverse Effect ◽  
Time Series ◽  
South African ◽  
Time Series Data ◽  
Series Data ◽  
Long Run ◽  
Reserve Bank ◽  
Equilibrium Relationship

This paper investigated exports, imports and the economic growth nexus in the context of South Africa. The paper sets out to examine if long-run and causal relationships exist between these variables. Quarterly time series data ranging between 1998 and 2013 obtained from the South African Reserve Bank and Quantec databases was employed. Initial data analysis proved that the variables are integrated at their levels. The results further indicated that exports, imports and economic growth are co-integrated, confirming an existence of a long-run equilibrium relationship. Granger causal results were shown running from exports and imports to GDP and from imports to exports, validating export-led and import-led growth hypotheses in South Africa. A significant causality running from imports to exports, suggests that South Africa imported finished goods in excess. If this is not avoided, lots of problems could be caused. A suggestion was made to avoid such problematic issues as they may lead to replaced domestic output and displacement of employees. Another dreadful ramification may be an adverse effect on the economy which may further be experienced in the long-run.

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