scholarly journals Malnutrition and Economic growth, Dynamic panel data analysis of developing countries

2021 ◽  
Vol 26 ◽  
pp. 455-465
Author(s):  
Sawssen Nafti
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Developing Countries ◽  
Food Security ◽  
Panel Data ◽  
National Level ◽  
Dynamic Panel Data ◽  
Sub Saharan Africa ◽  
Dynamic Panel ◽  
Under Nutrition

This paper concentrates on the empirical analysis of the pace of change in the food security situation in developing countries. We used dynamic panel data modeling by the GMM technique of Blundel and Bond (1998) during the period which range from 1990-2018 in order to estimate the relationship between the growth rate of GDP per capita and the growth rate of under nutrition prevalence in 26 developing countries belonging to the three different regions, namely Latin America, Sub-Saharan Africa and Asia. Food security was used at a national level as measured by the prevalence of under nutrition and the magnitude of the food deficit. The results of the estimates clearly show a negative relationship between economic growth rate and under nutrition prevalence; however, the economic growth of developing countries seems to be a key factor in reducing poverty and the proportion of the undernourished population.  

scholarly journals Education and Economic Growth in Developing Countries: Empirical Evidence from GMM Estimators for Dynamic Panel Data

2021 ◽  
Vol 34 (1) ◽  
pp. 14-29
Author(s):  
Wafa Sebki
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Panel Data ◽  
Tertiary Education ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Negative Effect ◽  
The Difference ◽  
Difference Gmm ◽  
Positive Effect

Abstract The paper aims at studying the effect of education measured by enrolment ratios in secondary and higher education on economic growth measured by the rate of GDP growth in a sample of 40 developing countries during the period from 2002 to 2016 using the dynamic panel data estimators. The results of estimating the model of this study using the difference GMM estimator or what is known as the Arellano and Bond estimator showed that the proportions of those enrolled in tertiary education had a significant positive effect on economic growth, while the proportions of those enrolled in secondary education had a significant negative effect.

scholarly journals PERAN RISET DAN PENGEMBANGAN (R&D) AKADEMIS TERHADAP PERTUMBUHAN EKONOMI

2020 ◽  
pp. 115
Author(s):  
Abdul Khaliq
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Panel Data ◽  
Research And Development ◽  
Panel Data Analysis ◽  
Academic Research ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Advanced Economies ◽  
Positive Effect

This study empirically examines the role of research and development (R&D) in the universities on economic growth. Using yearly data over the period 1996-2013 for 32 advanced economies and 46 developing countries in the world, the empirical results are estimated by static- and dynamic-panel data to provide evidence in favor of the impact of academic research and development on economic growth. The empirical evidence suggests that the static- and dynamic-panel data analysis estimates well characterize how academic research and development (R&D) influences economic growth in advanced economies and developing countries. Static panel data analysis in the light of fixed effect method (FEM) suggest positive effect of academic research and development on economic growth both in advance economies and developing countries. Moreover, dynamic panel data (Arrelano-Bond and Blundell-Bond) analysis finds academic research and development has consistently positive effect on economic growth in advanced economies, unfortunately academic R&D has negative effect on economic growth in developing countries. Based on the results, this study recommends for developing countries especially Indonesia to pay specific attention to academic R&D at universities by commercialization of new inventions and knowledge to attract industry.

Human capital and economic growth revisited: A dynamic panel data study

2002 ◽  
Vol 8 (3) ◽  
pp. 177-187 ◽  
Author(s):  
G. Agiomirgianakis ◽  
D. Asteriou ◽  
V. Monastiriotis
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Panel Data ◽  
Dynamic Panel Data ◽  
Dynamic Panel

scholarly journals Service Export Sensitivity to Internet Adoption: Evidence From Dynamic Panel Data Analysis

2020 ◽  
Vol 11 (6) ◽  
pp. 259
Author(s):  
Walid Chatti ◽  
Haitham Khoj
Keyword(s):  
Developing Countries ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Developed Countries ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Internet Adoption ◽  
The Impact ◽  
Dynamic Panel Data Analysis ◽  
Service Export

This study aims to examine the causal linkages relating service exports to internet penetration for 116 countries over the period 2000-2017. Taking into account a wide panel of countries, we apply 2-Step GMM methodology for dynamic panel data models. The results show a bi-directional causality relating service exports to internet adoption for developed countries. For the global panel and developing countries, we find those same results attest a positive relationship between the internet adoption and service exports, but in the opposite way; the impact is very low and not significant. Regarding developing countries, despite the fact that internet positively affects service exports, it is considered less efficient than in developed countries.

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