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This research analyzes economic growth from the theory of dynamic efficiency, using a global indicator of competitiveness and one of global economic freedom, starting from the hypothesis that greater economic freedom translates into greater competitiveness and economic growth. The dynamic efficiency supported by authors of the Austrian economy aims to explain how the increase in profitability and productivity in the production of goods and services depends mainly on business creativity. From the methodological point of view, the study is descriptive, correlational and prospective, using panel data from the 20 largest economies in the American continent. The study analyzes the main macroeconomic indicators, the quality of institutions, health, primary education, infrastructure and the degree of business innovation, correlated with variables that measure the level of freedom to do business, fiscal pressure, size of government, security Legal, competitiveness is measured through the factors that determine the productivity of an economy. Among the main results, it was found that the index of economic freedom and the GDP per capita show a bidirectional causal relationship in the Granger sense, thus revealing an endogenity relationship between both variables. The degree of cointegration, causality and explanation of competitiveness and economic freedom with economic growth was demonstrated.
The Empirical Economics Letters, 2018
This paper examines the effect of economic freedom on economic growth in 35 OECD countries using 1996-2015 annual data by panel data analysis. For this purpose, the economic freedom index produced by the Heritage Foundation is used and a three-step econometric method is followed. In the first stage, the stationarities of the variables, which are the index of economic freedom and GDP per capita, are investigated and the variables are found stationary at the first differences. In the second stage, long run relationships are found between the variables. In the third stage, the long run relationships between the variables are estimated by FMOLS (Fully Modified Ordinary Least Squares) and DOLS (Dynamic Ordinary Least Squares) methods. According to the findings, it is found that 1-unit increase in the index of economic freedom leads to 860 dollars increase in GDP per capita approximately in terms of panel. On the other hand, in terms of Turkey case, 1-unit increase in the index of economic freedom leads to 287 dollars increase in GDP per capita.
Economies, 2016
This study looks at some non-conventional determinants of economic growth, with the help of the newly developed economic freedom index datasets of the Heritage Foundation/Wall Street Journal(HF/WSJ), which is a cumulative index derived from several sub-indices (trade freedom index, financial freedom, labor freedom, business and fiscal freedom index). The cumulative economic freedom index show us how open and business friendly a country is. The sub-indices show us openness across different sector of the economy, for example, the financial sector or the trade sector etc. Traditional neo-classical economic theories have explained economic growth looking at the supply of labor, capital and state of technology, with little attention being paid to institutional factors. The study presents evidence based on two panel data-sets. The first set consists of 186 countries over the period 2013, 2014 and 2015 that show institutional factors play a crucial role in economic growth. A second data-set with data for 57 countries for the period 2004-2014 also show a positive impact on the index on the growth rate of per capita GDP.
Revista Latinoamericana de Desarrollo Económico, 2005
2014
There has appeared a large body of literature on the subject of Economic Freedom (EF) and its relation to Economic Growth (EG). This paper takes the view that the notion of EF is still in process of being defined and therefore the tools of measuring the same are still evolving. Correlations indicated by empirical research are under debate.
Competitio, 2010
This paper, relying on a conceptualization of economic freedom in terms of kinds of government actions, develops a new measure of economic freedom. However, this is not art for art’s sake; instead, it allows us to provide an explanation for how particular institutions of economic freedom enhance economic development, a view upon which scholars agree. We develop two concepts related to economic freedom, namely the freedom-compatible and freedom-non-compatible institutions and use them as tools in an analysis of the process of economic growth, especially the relationship between economic freedom and long-run income. The major argument is that freedom-compatible institutions are primary determinants of income, while freedom-non-compatible institutions depend upon them and are partly the outcomes of the growth process itself, a fact which is explained by the Misesian theory of interventionism. Our regression analyses support our theoretical insights. JEL Classification: B53, H10, O10
The present economic enviroment is highly volatile and very dynamic, both from the point of view of its financial characteristics, as well as its economical pecularities. This paper comes in an attempt to demonstrate the influences that manifest on growth, studying the correlations between it and its determinants, supporting the original understanding of existing methods for verification of several correlation in the literature, and subsequently retaining three of them, the MRW model in two forms: one under development of authors, one adding other macroeconomic control variables; and a dynamic model of economic growth. Additionally, these models use empirical analysis on two types of countries: OECD developed countries and developing countries in Central and Eastern Europe and Central Asia. In the end the analysis shows that the most significant influence in both areas is the education and, futher, that states under development present greater opportunities to promote growth through macroeconomic policies aimed at developing human capital.
2011
The generous theoretical and empirical debates are available on institutional freedom and economic growth, but unsuccessful to facilitate stationary conclusion regarding the nature of connection. It is still confusing that either economic freedom cause economic growth or economic growth widens the foundation for economic freedom. The finale will be more puzzled if the analysis based on different kinds of economies.
Review of Socio-Economic Research and Development Studies, 2024
In recent times, endogenous factors such as institutional quality and economic liberty have become prerequisites for economic growth and development. As such, evidence on the association between unconventional growth determinants and national income is crucial for informed policymaking. Against this backdrop, the focus of this study is to explore the bivariate relationship between economic liberty and economic growth in the Southern African Development Community (SADC) region. Given the characteristics of the variables, the study made use of the Panel Estimated Generalized Least Squares technique and Granger causality analysis. The study established the presence of a positive and robust association between components of economic liberty and economic growth. This implies that less government interference in the economic and financial system as well as the absence of tariff and non-tariff barriers, bolster economic growth at least in the SADC region. Furthermore, findings from the Granger causality analysis revealed that economic liberty and economic growth are jointly determined. In light of the above positive findings, there exists a need to deepen regional integration among SADC member states through increased intra-regional trade and financial integration, identifying potential value chains and implementing both hard and soft infrastructure to reduce the cost of doing business.
2010
The economics of growth has shown that countries not only grow by deploying higher levels of inputs to production, but also by better allocating whatever resources are at their disposal and by introducing productivity-enhancing innovations. We proffer arguments as to why and how entrepreneurship as well institutions of liberty (i.e., economic freedom, including the rule of law, easy regulations, low taxes and limited government interference in the economy) positively impact total factor productivity (TFP): These institutions allow entrepreneurial experimentation with the combination of factors to take place at low transaction costs. We test these ideas on a unique panel data set derived from Compendia, World Bank data and the Fraser Institute's economic freedom data. We find that while entrepreneurship positively impacts TFP, the marginal contribution of entrepreneurship to TFP is strongest in economies with substantial government activity.
Public Choice, 2002
Most studies of the relation between economic freedom andgrowth of GDP have found a positive relation. One problem inthis area is the choice of economic freedom measure. A singlemeasure does not reflect the complex economic environment anda highly aggregated index makes it difficult to draw policyconclusions. In this paper we investigate what specific typesof economic freedom measures that are important
European Journal of Political Economy, 2006
In this paper we apply meta-analytic techniques to the literature on the impact of economic freedom on economic growth and find an overall positive direct association between economic freedom and economic growth. A positive indirect effect of economic freedom on economic growth through the stimulation of physical capital is also identified. However, the literature is affected by specification bias with respect to controls for physical capital. The omission of physical capital results in larger estimates of the economic freedom-economic growth association. Further, the use of panel data leads to smaller estimates of the impact of economic freedom on economic growth. The meta-analysis is confirmed by primary cross-sectional and panel data analysis of 82 countries for the period 1970-1999. D
2017
In this study we evaluate how country-level entrepreneurship—measured via the national system of entrepreneurship—impacts total factor productivity, and how the national system of entrepreneurship triggers productivity by increasing the beneficial effects of different types of entrepreneurship, namely Kirznerian and Schumpeterian entrepreneurship. Using a comprehensive database for 73 countries during 2002-2013, we employ a non-parametric technique—Data Envelopment Analysis—to build the world technology frontier and compute the Malmquist total factor productivity index and its components. The results are consistent with the notion that the national system of entrepreneurship is positively associated with total factor productivity at the country level. Additionally, the findings reveal that the national system of entrepreneurship enhances efficiency change via enhanced Kirznerian entrepreneurship in the short-run, while the positive effect on total factor productivity of Schumpeteria...
2008
Altman (2007) examines the impact of economic freedom, including its various component parts, on aggregate economic performance across countries. He claims that some of the component parts of economic freedom, measured primarily with the Economic Freedom of the World index, are correlated positively with higher levels of per capita income and growth while others are not. He also attempts to identify "threshold effects" within the data that indicate differential impacts of economic freedom on economic performance at different levels. Although both questions are worthwhile, ultimately his efforts are unconvincing for both theoretical and empirical reasons which we discuss. The authors would like to thank John Conley and an anonymous referee for helpful comments. The usual disclaimer applies.
The aim of this paper is to find a new answer to an old question “Is economic freedom good or not for economies?” which was refreshed after the Global Financial Crisis of 2008. For this purpose, the relationship between economic freedom and economic growth, and the relationship between economic freedom and total factor productivity in OECD countries were investigated by using panel data for the period of 1995-2009. Study employed the recently developed cointegration test byWesterlund (2007) and the estimation technique by Bai and Kao (2006) which account for cross-sectional dependence that is an important problem in the panel data studies. Although no significant relationship found between economic freedom and total factor productivity, cointegration analysis revealed that economic freedom matters for economic growth in OECD countries in the long-run, and estimation results showed that direction of the impact is negative.
The objective of the study is to investigate the relationship between economic growth and economic freedom for different income groups. Therefore, the data were collected from 94 different countries belonging to five different income groups in order to cover the period from 2000 to 2010. In the study, relationship between the economic growth of the country and the level of freedom index which Fraser Institute measured and its sub-components constituting was questioned through the panel data analysis method. As a result of the analyses, it was found that there is a statistically significant positive relationship between the level of economic freedom for all income groups and economic growth. With the inclusion of sub-components of freedom index into the model, the effects of such sub-components vary depending on the income groups.
The Cato Journal, 2003
Most studies of the relationship between economic freedom and growth of GDP have found a positive correlation. One problem in this area is the choice of measure of economic freedom. A single measurement does not reflect the complex economic environment and a highly aggregated index makes it difficult to draw policy conclusions. This paper attempts to answer the question: How does economic freedom impact economic growth? Using data from 13 selected MENA countries over the period of 2000 to 2009, this paper investigates the relationship between economic freedom and economic growth. The results of panel data analysis show that economic institutions, specifically economic freedom, play a significant role in economic development independently and the overall index of economic freedom is positively correlated with growth. It is found that economic freedom does matter for growth. This does not mean that increasing economic freedom, defined in general terms, is good for economic growth since some of the categories in the index are insignificant and some of the significant variables have negative effects
Article Review, 2023
The article examined the impact of economic freedom on the economic development of European countries. The author assessed the degree of achievement of economic freedom in various countries based on their level of economic performance. For this purpose, the data of the Heritage Foundation was employed. The nonparametric method-data analysis was used during the research. The result of the study confirmed that the quality of institutions, economic performance, and economic freedom have positive correlations.
2008
Several studies show a positive and significant link between economic freedom and economic growth. Based on this result many economists recommend an abrupt and total disengagement of the State from the economic activity. Our objective in this paper is double. Initially, we show that the use of an aggregate index of economic freedom can mask the specificity of the link between the latter and the growth. In a second time, we use the method to demonstrate the presence of threshold variables rejecting the linearity of the relation between variables on the entire sample. The GDP per capita and the initial enrollment rate in secondary school divide the sample in two groups of countries characterized by different relations. One of our principal results is that the reduction of the size of the government is not effective in countries having an initial GDP per capita and an enrollment rate in 1990 higher than the thresholds values. This enables us to put into perspective the need for a reduction of the size of the government and to insist on the effectiveness of economic policies in developing countries.
In this research, the effects of the economic freedoms on the economic growth for EU and COMCEC countries at different development/income level are econometrically analyzed via panel data analysis for the period of 1996-2014 by being considered the improvement of economic growth theories for the key determinants of economic growth. From this aspect, it is aimed at this research that to evaluate the effects of the economic freedoms on the long termed economic growth performances and income level differences of EU and COMCEC countries which have different statuses in terms of economic freedoms and income level indicators. It is determined at the end of the study that the economic freedoms have a positive and statistically significant effect on the economic growth of EU countries in investigation period, on the other hand, these freedoms have not any effect on the economic growth of COMCEC countries. Moreover, the existence of a one-way causality relation operates from economic freedoms to the economic growth in EU countries is specified while there is any causality link found between these freedoms and the economic growth for the countries in COMCEC group. All these results indicate that also the economic freedoms besides the physical human capital accumulation, in other words, whether the EU and COMCEC countries have a market economy adopts outward-oriented liberal fiscal policies plays a major role in differentiating the income levels or the economic growth performances.
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