scholarly journals The components of economic freedom, income and growth: an empirical analysis

2007 ◽  
Vol 37 (3) ◽  
pp. 515-545 ◽  
Author(s):  
Raphael B. Corbi

This paper seeks to bring a better understanding of the relationship between economic growth and the disaggregated factors which constitute the elements of economic freedom. The two main objectives of this paper are to: (1) based on the Solow augmented growth model, test which of the elements of economic freedom demonstrate a statistically significant relationship to economic growth; and (2) establish which way the main causality direction between economic freedom and growth runs from. Finally, we identify desirable directions for further research and policy implications.

2014 ◽  
Vol 38 (1) ◽  
pp. 7-30
Author(s):  
Mariusz Próchniak

Abstract This study aims at assessing to what extent institutional environment is responsible for worldwide differences in economic growth and economic development. To answer this question, we use an innovative approach based on a new concept of the institutions-augmented Solow model which is then estimated empirically using regression equations. The analysis covers 180 countries during the 1993-2012 period. The empirical analysis confirms a large positive impact of the quality of institutional environment on the level of economic development. The positive link has been evidenced for all five institutional indicators: two indices of economic freedom (Heritage Foundation and Fraser Institute), the governance indicator (World Bank), the democracy index (Freedom House), and the EBRD transition indicator for post-socialist countries. Differences in physical capital, human capital, and institutional environment explain about 70-75% of the worldwide differences in economic development. The institutions-augmented Solow model, however, performs slightly poorer in explaining differences in the rates of economic growth: only one institutional variable (index of economic freedom) has a statistically significant impact on economic growth. In terms of originality, this paper extends the theoretical analysis of the Solow model by including institutions, on the one hand, and shows a comprehensive empirical analysis of the impact of various institutional indicators on both the level of development and the pace of economic growth, on the other. The results bring important policy implications.


Author(s):  
Hailu Abebe Wondirad

Abstract This paper empirically examines whether competition (measured by using the new measure of competition, the Boone Indicator) moderates the relationship between Microfinance Institutions’ (MFIs) social and financial performances using data from 183 Indian MFIs over the period 2005–2014. The findings indicate that MFIs’ social and financial performances have a positive significant relationship. Moreover, the form of the relationship is both lead-lag and cotemporal. The Indian microfinance market was very competitive over the period 2005–2014. The empirical findings show that competition positively moderates the relationship between MFIs’ social and financial performances. More precisely, the empirical analysis provides evidence that the association between MFIs’ depth of outreach and operational self-sufficiency is conditional upon competition. These results suggest that in a competitive market, the more MFI deepen their depth of outreach, the higher contribution it has to their operational self-sufficiency.


2013 ◽  
Vol 734-737 ◽  
pp. 1666-1670
Author(s):  
Fei Hu Yang ◽  
Peng Zhang ◽  
Xiao Wei Wang

Based on the co-integration test, error correction model and vector autoregressive model, the empirical analysis results show a long-term co-integration relationship between economic growth and energy utilization in China, energy consumption increased by 1%, GDP will increase by 1.342%. In order to raise the efficiency of energy utilization during China's economic development, suggestions like saving energy conservation, reducing emission and recycling economy have been proposed.


Author(s):  
Hilal Yıldız

Even though economic growth plays very important role in development, governments stressed the importance of happiness now. The crucial question is that what exactly is the relationship between happiness and money? Or, what can determine happiness? In recent years, the human well-being of its people has been accepted as a new economic inequalities measure. Not only economic performance of the country but also social, political and cultural performance of the country has been accepted as an indicator of better life of the people. Questions which will be discussed are thinking whether or not economic growth plays a major role in happiness and how the relation between economic growth and happiness. The purpose of this chapter is to investigate the relationship between economic growth and happiness in the MENA Region using an empirical analysis.


2001 ◽  
Vol 33 (7) ◽  
pp. 839-844 ◽  
Author(s):  
Jan-Egbert Sturm ◽  
Jakob De Haan

2020 ◽  
pp. 002190962094034
Author(s):  
Hong Hiep Hoang ◽  
Cong Minh Huynh

Using the Feasible Generalized Least Squares econometric method, the paper analyzes the impact of climate change on economic growth in Vietnam’s coastal South Central region over the period of 2006–2015. The results indicate that, after controlling for the main determinants in the growth model, the climate change with various proxies has a significantly negative impact on provinces’ economic growth in the region. In particular, local institutions not only increase economic growth, but also reduce the negative impact of climate change on economic growth as well. These results suggest some policy implications aimed at boosting the process of transforming the economic growth model for the coastal region adapting to climate change. JEL codes: F21, F23, E22


2018 ◽  
Vol 17 (2) ◽  
pp. 220-245 ◽  
Author(s):  
Francisca Rosendo Silva ◽  
Marta Simões ◽  
João Sousa Andrade

Purpose This study aims to analyse the relationship between health human capital and economic growth for a maximum sample of 92 countries over the period 1980-2010 taking into account countries’ heterogeneity by assessing how health variables affect different countries according to their position on the conditional growth distribution. Design/methodology/approach The paper estimates a growth regression applying the methodology proposed by Canay (2011) for regression by quantiles (Koenker, 1978, 2004, 2012a, 2012b) in a panel framework. Quantile regression analysis allows us to identify the growth determinants that present a non-linear relationship with growth and determine the policy implications specifically for underperforming versus over achieving countries in terms of output growth. Findings The authors’ findings indicate that better health is positively and robustly related to growth at all quantiles, but the quantitative importance of the respective coefficients differs across quantiles, in some cases, with the sign of the relationship greater for countries that recorded lower growth rates. These results apply to both positive (life expectancy) and negative (infant mortality rate, undernourishment) health status indicators. Practical implications Given the predominantly public nature of health funding, cuts in health expenditure should be carefully balanced even in times of public finances sustainability problems, particularly when growth slowdowns, as a decrease in the stock of health human capital could be particularly harmful for growth in under achievers. Additionally, the most effective interventions seem to be those affecting early childhood development that should receive from policymakers the necessary attention and resources. Originality/value This study contributes to the existing literature by answering the question of whether the growth effects of health human capital can differ in sign and/or magnitude depending on a country’s growth performance. The findings may help policymakers to design the most adequate growth promoting policies according to the behaviour of output growth.


2012 ◽  
Vol 253-255 ◽  
pp. 278-281
Author(s):  
Xiao Zhe Meng

Transport infrastructure makes important contribution to economic growth. At the same time, the economic growth provides support to the transport infrastructure. Based on the co-integration theory and Granger casualty analysis, using time series data in Tianjin from 1978 to 2010, empirically analyze the co-integration relationship and Granger causality between the index of all kinds of transport infrastructure and the GDP in Tianjin. Research shows that there are positive correlations between the length of road, railway, quay line and GDP. The length of road, railway and quay line is the Granger cause of GDP. However, GDP is not the Granger cause of transport infrastructure.


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