The impact of renewable and nonrenewable energy consumption on economic growth: a dynamic panel data approach

2018 ◽  
pp. 1-12 ◽  
Author(s):  
Burcak Polat
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Panel Data ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
The Impact ◽  
Nonrenewable Energy

scholarly journals The Determinants Of Renewable Energy Consumption: An Empirical Analysis For The Balkans

2016 ◽  
Vol 12 (11) ◽  
pp. 594 ◽  
Author(s):  
Basak Gul Akar
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Panel Data ◽  
Trade Openness ◽  
Dynamic Panel Data ◽  
Energy Sources ◽  
Renewable Energy Consumption ◽  
Dynamic Panel ◽  
The Balkans

As a measure of development, energy has a priority in economic literature. However, both economic and social costs caused by traditional energy sources have led to question on the importance of these resources. In addition to this, various problems such as pollution and dependence on foreign energy has brought about new researches instead of existing energy sources. Alternative and renewable energy sources, which are named as “clean energy”, are expected to take the place of the old method. However, there are many factors affecting the use of new energy sources. These factors include energy prices, energy production, energy dependence, economic growth, trade openness, and the use of carbon dioxide. Besides, development levels of countries have a significant influence on the degree of interaction between these factors. In the present study, firstly, renewable energy consumption and the determinants of this energy use were discussed in the theoretical context. Consequently, the required empirical tests were applied for Balkan countries - Albania, Bosnia-Herzegovina, Bulgaria, Croatia, Montenegro, Kosovo, Macedonia, Romania, Serbia, Slovenia, Turkey, and Greece. Dynamic panel data method was preferred for analysis. However, this panel covers a period between the years of 1998-2011. According to the results obtained through a dynamic panel data analysis, it was found that there is a negative and statistically significant relationship between economic growth and renewable energy consumption. On the other hand, trade openness and natural gas rents are determined to have a positive effect on renewable energy consumption in the Balkans.

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.

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.

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 An assessment about the relationship between educational inequality and economic growth in Brazilian Northeast region

2020 ◽  
Vol 5 (1) ◽  
pp. 1-12
Author(s):  
Frederico Uchoa
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Educational Inequality ◽  
Dynamic Panel Data ◽  
Economic Policies ◽  
Dynamic Panel ◽  
Unequal Distribution ◽  
Education Inequality ◽  
Panel Data Estimation ◽  
The Impact

In this paper we analyze the impact of education inequality on the income of formal workers in Northeast Brazil. For this study, we analyzed the data collected from censuses data and estimate a dynamic panel data model. Statistical analyses were performed by using the quasi-maximum likelihood linear dynamic panel data estimation, an approach that produce consistent estimates with large n and small T. We found a negative and statistically significant impact of education inequality on economic growth, which is convergent with the literature that advocates that an unequal distribution of education reduces growth. Our results suggest that economic policies should be targeted not only more at education but also more equal access to education.

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