scholarly journals Social Security and Sustainable Economic Growth: Based on the Perspective of Human Capital

2019 ◽  
Vol 11 (3) ◽  
pp. 662 ◽  
Author(s):  
Ming Zhang ◽  
Xiaorong Zou ◽  
Long Sha
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Panel Data ◽  
Social Security ◽  
Threshold Model ◽  
Threshold Effect ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Sustainable Economic Growth ◽  
The Impact

China’s social security expenditure has rapidly grown during the past decade, and concerns about the impact of social security on productivity and sustained economic growth have attracted attention. Based on Chinese provincial panel data over the period 2007–2016, a threshold model analysis found that the impact of social security on productivity has a “double threshold” on human capital. Using dynamic panel data models and system General Moment Method estimators also found the existence of this threshold effect: When the human capital level is low or high, social security is favorable for sustained economic growth. However, if the human capital level is at the intermediate level, the function of social security is weak. The main conclusions were still valid after we examined the robustness of our results with several methods.

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 Impact of Population Growth on Economic Growth in Africa: A Dynamic Panel Data Approach (1980 -2015)

2018 ◽  
Vol 6 (4) ◽  
Author(s):  
Amade Peter ◽  
Ibrahim H. Bakari
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Population Growth ◽  
Negative Impact ◽  
Positive Impact ◽  
Dynamic Panel Data ◽  
African Countries ◽  
Dynamic Panel ◽  
System Gmm ◽  
The Impact

This study examines the impact of population growth on the economic growth of African countries using panel data approach from 1980 -2015. The impact of population growth on economic growth is still largely controversial at national and regional levels. The study used annual secondary data of fifty three (53) African countries sourced from the World Development Indicators database. Data were collected for economic growth, proxied by GDP, population growth, fertility rate, crude death rate and inflation rate. The data were analyzed using descriptive statistics, as well as dynamic panel models of difference and system GMM. The results of the difference and system GMM suggest that population growth exerts a positive impact on economic growth of Africa while fertility has a negative impact on economic growth of Africa. The paper concludes and recommends that population growth impacts positively on economic growth and thus African countries should adopt and implement pragmatic policy measures that will enhance the productivity of its population so as to reap more demographic dividends.

An Application of GMM Method in the Test of Relationship between Urbanization and Circulation Economic Growth

2013 ◽  
Vol 712-715 ◽  
pp. 3207-3210
Author(s):  
Yue Xi Liu ◽  
Zhen Bo Zhang
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Data Model ◽  
Dynamic Panel Data ◽  
Labor Input ◽  
Dynamic Panel ◽  
Dynamic Panel Data Model ◽  
Impact Of Urbanization ◽  
The Impact ◽  
Positive Effect

To explore the impact of urbanization and economic growth on the development of circulation industry, this paper uses GMM method to estimate dynamic panel data model, based on panel data at provincial-level from 2001 to 2010 in China, after testing the endogeneity of urbanization and economic growth. The findings indicate that regional economic development, labor input and fixed investment has significant positive effect on output of circulation, while lagged output of circulation and level of urbanization has no significant effect on it.

scholarly journals Human capital formation and economic growth across the world: a panel data econometric approach

2019 ◽  
pp. 25-54
Author(s):  
Víctor Manuel Cuevas Ahumada ◽  
Cuauhtémoc Calderón Villarreal
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Panel Data ◽  
Measurement Errors ◽  
Institutional Development ◽  
Capital Formation ◽  
Dynamic Panel Data ◽  
Policy Implications ◽  
Human Capital Formation ◽  
The Impact

This paper estimates 12 dynamic panel data models to assess the impact of human capital formation and other key variables on the economic growth of 52 countries over a 13-year period. Several methodological and empirical contributions are made to assemble country groups, lower measurement errors and reduce the omitted variable bias while keeping the models parsimonious. Among other things, the evidence indicates that the responsiveness of economic growth to physical capital accumulation, institutional development, human capital formation, and total factor productivity varies across country groups to a certain extent. The policy implications of these findings are relevant on several grounds.

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