scholarly journals Determinants of economic growth in South - East Europe: A panel data approach

2011 ◽  
pp. 12-15 ◽  
Author(s):  
Marija Trpkova ◽  
Biljana Tashevska
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
East Europe ◽  
South East Europe ◽  
Determinants Of Economic Growth

scholarly journals The Determinants of Economic Growth in CEMAC through a Panel Data Approach

2016 ◽  
Vol 4 (2) ◽  
pp. 483
Author(s):  
Nzingoula Gildas Crepin
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Fixed Effects ◽  
Good Governance ◽  
Generalized Method Of Moments ◽  
Central Africa ◽  
Ordinary Least Squares ◽  
Fixed Effects Model ◽  
Main Determinants ◽  
Determinants Of Economic Growth

<div><p><em>This article highlights through a panel data approach the determinants of economic growth; observed over the last decade in the Economic and Monetary Community of Central Africa (CEMAC) and necessary to reach emerging economies stage. To do this, we essentially used Stata 12 software to come up with the results, and a panel data sample comprising six CEMAC member states, namely Congo, Cameroon, Gabon, Equatorial Guinea, Central African Republic and Chad, for the period ranging from 2000 to 2013. The results obtained after estimating ordinary least squares, fixed effects model, random effects model, generalized method of moments (GMM) and specification tests show that the best model to estimate these types of data is the fixed effects model. Besides, the main determinants of economic growth in CEMAC over that period are Foreign Direct Investment (FDI) and loans lending to the economy (LOAN). After estimation, FDI is found positive and significant on economic growth, while LOAN is significant and found negative maybe due to lack of good governance.</em></p></div>

scholarly journals trade for development. determinants of economic growth in COMESA region. A panel data approach.

2020 ◽  
Author(s):  
Gassahun Getenet Gelaye
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Trade Openness ◽  
Fixed Effect Model ◽  
Model Specification ◽  
Domestic Saving ◽  
Regression Result ◽  
Hausman Test ◽  
Fixed Capital Formation ◽  
Determinants Of Economic Growth

The objective of this paper is to analyze the determinants of economic growth in COMESA member countries from 1985-2015 using a panel data approach. In the study both descriptive and econometric analysis were used. For model specification a Hausman test and link tests were used. A Hausman test suggested for fixed effect model as an appropriate model in this study. In addition, other CLM assumptions were detected before the actual regression result and there were found a problem of serial correlation and heteroskedasticity. As a result, a cluster robust of standard error test was used to handle the problem. The regression result show that foreign direct investment, broad money, trade openness, and human capital growth were found to have positive and significant impact on economic growth in the region. In contrast, gross fixed capital formation in this study was found to have insignificant impact on economic growth in COMESA member countries. Moreover, government final consumption expenditure, inflation and population growth affects economic growth negatively and significantly in COMESA member countries. In this paper a policy recommendation appeal to appreciate domestic saving and investment from the residence, and reduction of tariff for imported capital goods and domestic innovation, reforms to be forwarded more open to global trade for the region (COMESA) member countries through reduction of trade barriers between the COMESA member countries and the rest of the world, and government consumption or investment in the region should be geared towards more productive activities for economic growth were discussed in this research paper.

scholarly journals Spatial Dimensions of Economic Growth in Brazil

2013 ◽  
Vol 2013 ◽  
pp. 1-19 ◽  
Author(s):  
Guilherme Mendes Resende
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Spatial Autocorrelation ◽  
Spatial Scales ◽  
Statistical Significance ◽  
State Level ◽  
The State ◽  
Omitted Variables ◽  
Spatially Correlated ◽  
Determinants Of Economic Growth

The contribution of this paper is to explore time and spatial scale dimensions of economic growth in Brazil using alternative panel data techniques to provide a measure of the extent of spatial autocorrelation (in kilometres) over three decades (1970–2000) as well as discussing the determinants of economic growth at a variety of geographic scales (minimum comparable areas, micro-regions, meso-regions, and states). The magnitude and statistical significance of growth determinants such as schooling, population density, population growth, and transportation costs are dependent on the scale of analysis. Moreover, the extent of residual spatial autocorrelation showed that it seems to vary across spatial scales. Indeed, spatial autocorrelation seems to be bounded at the state level and it shows positive and statistically significant values across distances of more than 1,500 kilometres at the other three spatial scales. Among other results, the study suggests that the nonspatial panel data techniques are not able to deal with spatially correlated omitted variables across different spatial scales, except for the state level where nonspatial panel data models seem to be appropriate to investigate growth determinants and convergence process in the Brazilian states case.

scholarly journals A Panel Data Analysis of Economic Growth Determinants in 34 African Countries

2021 ◽  
Vol 14 (6) ◽  
pp. 260
Author(s):  
Larissa Batrancea ◽  
Malar Mozhi Rathnaswamy ◽  
Ioan Batrancea
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Human Development ◽  
Low Income ◽  
Panel Data Analysis ◽  
African Countries ◽  
Gdp Growth Rate ◽  
Wide Range ◽  
Domestic Savings ◽  
Determinants Of Economic Growth

The research study investigated the economic determinants of economic growth in 34 countries across Africa during a two-decade period (2001–2019). For this purpose, the sample included a wide range of economies, from low income to high income and from low human development to high human development, according to recent international rankings provided by the World Bank and the United Nations Development Programme. By means of a multimodal approach centered on panel data modelling, we showed that economic growth, proxied by the GDP growth rate, was substantially influenced by economic indicators such as imports, exports, gross capital formation, and gross domestic savings. We also showed that foreign direct investment inflows and outflows play an important role for capital and savings. Our empirical results offer insights on strategies that national authorities could implement to boost economic growth and development across the African continent.

Capital Market and Economic Growth in Transition Countries: Evidence from South East Europe

2017 ◽  
Vol 2 (6) ◽  
pp. 23-31 ◽  
Author(s):  
Pablo Fernandez ◽  
◽  
Alberto Ortiz ◽  
Isabel Fernandez Acín ◽  
◽  
...  
Keyword(s):  
Economic Growth ◽  
Capital Market ◽  
Transition Countries ◽  
East Europe ◽  
South East Europe
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