Import Structure and Economic Growth: A Comparison of Cross-Section and Time-Series Data

1967 ◽  
Vol 15 (2, Part 1) ◽  
pp. 143-162
Author(s):  
Nassau A. Adams
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Cross Section ◽  
Time Series Data ◽  
Series Data

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 Pengaruh Investasi PMDN, PMA, dan Penyerapan Tenaga Kerja Terhadap Pertumbuhan Ekonomi dan Jumlah Penduduk Miskin Kabupaten/Kota di Provinsi Kalimantan Barat

2017 ◽  
Vol 6 (2) ◽  
pp. 97 ◽  
Author(s):  
Yetty Agustini ◽  
Erni Panca Kurniasih
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Cross Section ◽  
Foreign Investment ◽  
Time Series Data ◽  
Series Data ◽  
Domestic Investment ◽  
The West ◽  
West Kalimantan ◽  
Local Economic Growth

The purpose of the research is to know the influence of domestic investment, foreign investment, and the absorption of labor toward the local economic growth and the amount of people who live in poverty in regency/city in West Kalimantan. This study tested 6 (six) years data, from 2008 to 2013 using panel data in the form of time series data (2008-2013) and cross section (10 countries/ cities) in the West Kalimantan province. Data were analyzed using regression analysis via Eviews 6.0. The results of the research showed that: 1) Domestic Investment influnces positively and significant toward the growth of local economic in regency/city in West Kalimantan. 2) Foreign Investment influences positively and significant toward the growth of local economic in regency/city in West Kalimantan. 3) The Absorption of labor influences positively and is significant toward the amount of local economic growth in regency/city in West Kalimantan. 4) Economic growth influences negatively and significant toward the amount of people who live in poverty in regency/city in West Kalimantan

scholarly journals Does the Covid-19 Outbreak Impacts On Economic Growth? An Evidence from Indonesia

2021 ◽  
Vol 2 (3) ◽  
pp. 88-95
Author(s):  
Hilda Aprina ◽  
M. Sabri Abd. Majid ◽  
Vivi Silvia
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Cross Section ◽  
Direct Investment ◽  
Time Series Data ◽  
Regression Coefficient ◽  
Negative Impact ◽  
Percent Level ◽  
Series Data ◽  
P Value

This study aims to analyze the effectS of the COVID-19 pandemic, labor, domestic direct investment (DDI), AND foreign direct investment (FDI) on economic growth in Indonesia. The type of data used in this study is panel data, which is a combination of cross-section and THE time series data (Silvia, 2020). The cross-section data involves 34 provinces and time-series data covers the period from the first quarter of 2018 to the second quarter of 2021. The result found out that the regression coefficient of labor has a positive and significant effect at the 5 percent level, which means that if the number of workers increases by 1 percent, economic growth will increase by 0.03 percent. Furthermore, the FDI variable also has a significant and positive effect on economic growth in Indonesia. We can see in table 3.2 that the FDI variable is significant at the 5 percent level with a regression coefficient of 0.012, this means that an increase in FDI by 1 percent will accelerate economic growth by 0.012 percent. From the results of data processing obtained by the author, it can be seen that the DDI variable has a positive but not significant effect on economic growth in Indonesia, this can be seen from the p-value which is greater than 5 percent. The regression coefficient of -0.001 proves that the COVID-19 pandemic has a negative impact on economic growth in Indonesia. When the COVID-19 pandemic reached the territory of Indonesia, economic growth slowed by 0.001 percent.

scholarly journals Determinants of Regional Economics Growth

2020 ◽  
Vol 35 (1) ◽  
pp. 52
Author(s):  
Sri Nawatmi ◽  
Agung Nusantara ◽  
Agus Budi Santosa
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Cross Section ◽  
Time Series Data ◽  
Fiscal Decentralization ◽  
Regional Economics ◽  
Fixed Effect ◽  
Regional Economic Growth ◽  
Series Data ◽  
Regional Economic

<p>This study aims to determine what factors influence regional economic growth. The analysis technique used is to combine time series data and cross-section (pooling data). Time-series data from 2015 - 2017 and cross section data consisting of 34 provinces in Indonesia. The results of the model test using the redundant fixed effect test and random effect-Hausman test show that the best model is the fixed effect model (FEM). Regression results show that only the HDI (Human Development Index) variable is not significant, the other variables (fiscal decentralization, capital, and labor) have a significant positive effect on regional economic growth.</p>

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 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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