Impact of foreign direct investments on economic growth in Africa: Evidence from three decades of panel data analyses

2014 ◽  
Vol 68 (3) ◽  
pp. 248-256 ◽  
Author(s):  
Steve Loris Gui-Diby
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Foreign Direct Investments ◽  
Data Analyses

scholarly journals Media and Economic Growth: Country Groups Difference via Panel Data

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Viktoriia Ahapova
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Fixed Effects ◽  
Panel Data Analysis ◽  
Press Freedom ◽  
Foreign Direct Investments ◽  
Fixed Effects Model ◽  
Data Set ◽  
The Press ◽  
Per Capita

The present article investigates the link between economic growth, namely GDP per capita, and the media activity represented with the indicator of the press freedom alongside other factors such as infrastructure, institutional conditions, and foreign direct investments. A panel of 179 countries was used for the period from 2000 to 2015. In particular, we run two panel data analysis models, fixed effects and random effects models, and examined their output with Hausman’s specification test, which pointed the fixed effects model as more efficient for the presented data set. However due to the presence of serial correlation, heteroskedastic, and cross-panel dependence, a Prais-Winsten regression with panel corrected standard errors (PCSE) was implemented. The comparative analysis of models of four country groups, divided by GNI per capita, was conducted. Both statistically significant correlation coefficients and models’ output provided evidence of an association between economic growth and the press activity.

scholarly journals The Effects of FDI on Domestic Investments in Western Balkans

2021 ◽  
Vol 92 ◽  
pp. 07059
Author(s):  
Bilal Sucubasi ◽  
Borce Trenovski ◽  
Berkan Imeri ◽  
Gunter Merdzan
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Cross Sections ◽  
Value Added ◽  
Foreign Direct Investments ◽  
Western Balkans ◽  
Investment Policies ◽  
Technological Level ◽  
Domestic Investments ◽  
Trade And Investment

Research background: In order to contribute to economic growth, inward foreign direct investments (FDI) need to meet certain economic and social criteria. Besides the contribution to the level of education, technological level, financial development, tax system, trade and investment policies, and market size, FDI should also encourage domestic investments (crowding in-effect). Purpose of the article: This paper examines the importance and effects of the inward and outward direct investments, gross savings as well as real growth on domestic investments in the case of Western Balkan countries (North Macedonia, Serbia, Albania, Kosovo, Montenegro, and Bosnia & Herzegovina). Thus, the logic behind this research is to determine whether and in which direction are aimed effects of FDI. Methods: The relation between FDI and domestic investments has been analyzed by employing panel data approach with and without constrains on cross-sections. The study is based on a panel data of six countries for the period between 2007-2018, (i.e., in total, we have 66 observations). Findings & Value added: The general conclusion from this analysis confirm that inward foreign direct investments in the Western Balkans, as well as real economic growth both significantly and positively affect the domestic investments.

scholarly journals ANALISIS KETIMPANGAN PENDIDIKAN DI PROVINSI SUMATERA BARAT

2015 ◽  
Vol 4 (1) ◽  
pp. 63
Author(s):  
Putri Anik D ◽  
Ali Anis ◽  
Muhammad Irfan
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Correlation Coefficient ◽  
Negative Correlation ◽  
Gini Index ◽  
Hypothesis Test ◽  
Data Analyses ◽  
Education Expansion ◽  
Independent Variable

The purpose of this study was to analyze: (1) education imbalance, (2) the effect of education expansion on education imbalance, and (3) the correlate of education imbalance on economic growth in West Sumatera Province. This research is descriptive and asosiative, it’s describe the variable and found whether there is influence between independent variable with dependent variable. This study used Survey Sosial Ekonomi Nasional years 2005, 209 and 2013. The data examied totaled 57 observations. The analyses technique are descripyive and inductive. Inductive analyses include panel data analyses, determinant coefficient, hypothesis test and coreelation test.The result showed that: education imbalance in West Sumatera Province came to low imbalance, with the lowest imbalance on Padang City with education gini index as 0,2149. The result also showed that education imbalance on city has lower gini index than regency, (2) education expansion has a negative significantly impact on education imbalance in West Sumatera Province with regression coeffecient as 0,02557, (3) education imbalance has a negative correlation with economic growth with correlation coefficient as 0,001712.    Keywords : educatio imbalance, education expansion, economic growth

PENGARUH PEMBANGUNAN INFRASTRUKTUR TERHADAP PDRB DI PROVINSI INDONESIA

Wahana ◽  
2019 ◽  
Vol 22 (1) ◽  
pp. 15-27
Author(s):  
Suripto Suripto ◽  
Eva Dwi Lestari
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Panel Data ◽  
Infrastructure Investment ◽  
Water Infrastructure ◽  
Infrastructure Development ◽  
Road Infrastructure ◽  
Health Infrastructure ◽  
Spatial Coverage ◽  
The Government

Economic growth is one indicator to measure  the success of economic development in a country. Economic development is closely related to infrastructure. Infrastructure development will have an impact on economic growth both directly and indirectly. Therefore, the role of the government in determining infrastructure development policies is very important to increase economic growth in Indonesia. The purpose of this study is to determine the effect of infrastructure on economic growth in Indonesia including road infrastructure, electricity infrastructure, investment, water infrastructure, education infrastructure and health infrastructure in Indonesia in 2015-2017.The analytical tool used in this study is panel data regression with the approach of Fixed Effect Model. The spatial coverage of this study is all provinces in Indonesia, namely 34 provinces, with a series of data from 2015 to 2017 with a total of 102 observations. The data used is secondary data obtained from BPS Indonesia.The results of the study show that (1) the road infrastructure variables have a negative and not significant effect on GDRP. (2) electrical infrastructure variables have a negative and not significant effect on GDRP. (3) investment variables have a positive and significant effect on GDRP. (4) water infrastructure variables have a positive and not significant effect on GDRP. (5) educational infrastructure variables have a positive and not significant effect on GDRP. (6) health infrastructure variables have a positive and significant effect on GDRP. Keywords: development, infrastructure, investment, GDRP, panel data

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