scholarly journals Effects of Software Piracy on Economic Growth

2018 ◽  
Vol 10 (6) ◽  
pp. 1
Author(s):  
Rodrigo Nobre Fernandez ◽  
Felipe Garcia Ribeiro ◽  
Jean Marcel Del Ponte Duarte
Keyword(s):  
Economic Growth ◽  
Data Structure ◽  
Panel Data ◽  
Fixed Effects ◽  
Negative Impact ◽  
Software Piracy ◽  
The World ◽  
Non Linear

This study investigates the effects of software piracy on economic growth around the world for the years 2000 to 2014, using panel data structure with fixed effects to capture this relationship, plus year dummies. Our findings suggest, in general, that software piracy has a negative impact on growth and that this relationship seems to be non-linear.

scholarly journals The Non-Linear Effect of Corporate Taxes on Economic Growth

2015 ◽  
Vol 8 (s1) ◽  
pp. 14-31 ◽  
Author(s):  
Ján Huňady ◽  
Marta Orviská
Keyword(s):  
Economic Growth ◽  
Linear Relationship ◽  
Fixed Effects ◽  
Negative Impact ◽  
Strong Support ◽  
Tax Rates ◽  
Corporate Tax ◽  
Non Linear ◽  
Corporate Tax Rates ◽  
The Impact

Abstract The paper deals with the problem of taxation and its potential impact on economic growth and presents some new empirical insights into this topic. The main aim of the paper is to verify an assumed nonlinear impact of corporate tax rates on economic growth. Based on the theory of public finance and taxation, we hypothesize that at relatively low tax rates it is possible that the impact of taxation on economic growth become slightly positive. On the other hand when the tax rates are higher a negative impact of taxation on economic growth could be expected. Despite the fact that the most of the existing studies find a negative linear relationship between these variables, we can also find strong support for a non-linear relationship from several theoretical models as well as some empirical studies. Based on panel data fixed-effects econometric models, we, as well, find empirical evidence for a non-linear relationship between nominal and effective corporate tax rates and economic growth. Our data consists of annual observations for the period 1999 to 2011 for EU Member States. Based on the results, we also estimated the optimal level of the corporate tax rate in terms of maximizing economic growth in the average of the EU countries.

scholarly journals GROWTH AND OPENNESS RELATIONSHIP IN THE EU15: PANEL DATA ANALYSIS

Ekonomika ◽  
2010 ◽  
Vol 89 (2) ◽  
pp. 44-54 ◽  
Author(s):  
Erginbay Uğurlu
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Fixed Effects ◽  
Time Series Data ◽  
Negative Impact ◽  
Panel Data Analysis ◽  
Empirical Work ◽  
Series Data ◽  
The Impact ◽  
The Eu

Conventional wisdom suggests that openness of an economy promotes economic growth. There is still argument among economists concerning how a country’s macroeconomic variables and its economic growth interact in numerous econometric studies by using panel data. This paper examines the impact of openness on economic growth for the EU-15 area in 1996–2003. In our empirical work, we have used the panel data technique which is also called longitudinal data or cross-sectional time series data. Panel data is generally concerned with choosing among three alternative regressions that are named fixed effects, random effects and pooled model estimation. The variables used are growth, openness, price level, investment and government share of RGDP. We find that openness has had a weak but negative impact on economic growth in this region over this period. Also, we have found that an increase in investment and a decrease in government expenditure have supported economic growth in the EU-15 countries.

scholarly journals Bank Concentration and Economic Growth Nexus

2020 ◽  
Vol 9 ◽  
pp. 81-111
Author(s):  
Edib Smolo
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Negative Impact ◽  
System Gmm ◽  
Non Linear ◽  
The Impact ◽  
The Relationship ◽  
Bank Concentration

This paper examines the relationship between bank concentration and economic growth in Organization of Islamic Cooperation (OIC) countries. This is done using the system GMM estimators on a panel data sample consisting of 41 countries and 650 observations. Our analysis reveals that bank concentration has negative impact on economic growth and this relationship is non-linear. Furthermore, the impact of bank concentration on economic growth is found to be dependent on the country’s income and corruption levels. Therefore, it seems reasonable to conclude that bank concentration has negative impact on the economic growth in OIC countries.

Assessing the Impact of the Factors in the Digital Transformation on the Regional Economic Growth

REGIONOLOGY ◽  
2021 ◽  
Vol 29 (3) ◽  
pp. 486-510
Author(s):  
Tatyana V. Mirolyubova ◽  
Marina V. Radionova
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Fixed Effects ◽  
Digital Transformation ◽  
Regional Economic Growth ◽  
Regional Economic ◽  
The Russian Federation ◽  
Regional Product ◽  
The Impact ◽  
Regions Of Russia

Introduction. The scientific problem under consideration is of particular relevance due to the need to assess the impact of the factors in the digital transformation of the regional economy and in the economic growth on the economic development of the regions of the Russian Federation. Based on the research conducted, the article presents an econometric assessment of the dependence of the level of the gross regional product per capita in the regions of Russia on such factors as digital labor and digital capital. Materials and Methods. The authors analyzed panel data from the Federal State Statistics Service covering 87 regions of Russia for the period from 2010 to 2018. The research methodology is based on the use of the Cobb–Douglas production function, statistical and correlation data analysis, as well as on econometric methods for studying panel data. Results. To analyze the impact of the digital transformation of the economy on the regional economic growth of the regions of Russia, various models based on panel data have been considered, such as the pooled model, fixed effects models, random effects models, as well as time-varying effects models using dummy variables. Based on statistical criteria, the best model has been chosen and conclusions have been drawn about the nature of the impact of the digital transformation indicators on the gross regional product per capita in the regions of Russia. Discussion and Conclusion. The results of econometric modeling have demonstrated that digital factors in economic growth (digital labor, digital capital), along with common factors in economic growth (labor and capital), affect the regional economic growth. According to the regional data for the period from 2010 to 2018, the time fixed effects model has proved to be the best model of the impact of the factors in economic growth and digital transformation on the economic development of the regions of the Russian Federation. The research results can be used when developing a public policy aimed at stimulating the digital transformation of the regional economy.

scholarly journals How do Poverty and Income Inequality affect Economic Growth in Developing Countries?

2021 ◽  
Vol 4 (2) ◽  
pp. 547-558
Author(s):  
Hamza Saleem ◽  
Fatima Farooq ◽  
Muhammad Aurmaghan
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Panel Data ◽  
Income Inequality ◽  
Negative Impact ◽  
Positive Impact ◽  
Development Indicators ◽  
The Relationship ◽  
Positive Effect ◽  
World Development

The major objective of this research is to examine the relationship between poverty, income inequality and economic growth from some selected developing countries. This study uses panel data for the period of 2002-2015. All the data is taken from world development indicators (WDI). To find out the results, we have used Hausman test an econometrics technique for panel data in this research. The results of the study indicate that poverty and income inequality have a negative impact on economic growth on the other hand Gross capital formation, labor force, total population and government consumption and expenditure have a positive impact on economic growth. The result tells us that changes in these variables have a significant and positive effect on the dependent variable. To achieve the goal of economic growth developing countries should reduce poverty and take meaningful steps to overcome the problem of inequality in the society which can be very helpful in achieving the goal of economic growth.

Institutional Change and Economic Growth in East Asia after the Asian Financial Crisis, 1997-98

2020 ◽  
Vol 35 (1) ◽  
pp. 29-51
Author(s):  
Kee Hoon Chung
Keyword(s):  
Economic Growth ◽  
Financial Crisis ◽  
Institutional Change ◽  
East Asia ◽  
Fixed Effects ◽  
Panel Data Analysis ◽  
Institutional Quality ◽  
Asian Financial Crisis ◽  
Fixed Effects Model ◽  
The World

Theories on institutional change assert that exogenous shocks are critical in transforming path-dependent institutions. There is not much empiric research, however, that has investigated whether that is indeed the case. To fill this gap, this study investigates the effects of institutional quality on economic growth with a focus on East Asia before and after the 1997-98 Asian financial crisis, which delivered a critical shock in economic activities and institutions in East Asia. Using panel data analysis from 1981 and 2007, I investigate whether the effect of institutional quality on economic growth differed in East Asia compared to rest of the world before the crisis and whether such relationship changed after the crisis. Using two-way fixed effects model, the estimation shows that the effect of institutional quality on economic growth was positive on average for the rest of the world after the crisis but negative for East Asia. The negative coefficient was particularly strong for the three countries—South Korea, Indonesia, and Thailand—that suffered the most during the crisis. However, in the long term, there was no significant change of this negative effect.

The Impact of Population Aging on Economic Growth: Panel Data Evidence from Middle East Countries

2021 ◽  
pp. 67-86
Author(s):  
Abdullah Abdulaziz Bawazir ◽  
Mohamed Aslam ◽  
Ahmad Farid Osman
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Middle East ◽  
Fixed Effects ◽  
Population Aging ◽  
Developed Countries ◽  
Ordinary Least Squares ◽  
Dependency Ratio ◽  
Middle East Countries ◽  
The Developed Countries

This study examines the relationship between population aging and economic growth in a panel of 10 selected Middle East countries for the period of 1996–2016. For this purpose, this study uses two different measures of population aging, namely population aged 65 and over and old dependency ratio, to investigate their impacts on economic growth. The study utilizes the three alternative models of static panel data comprised of the pooled ordinary least squares, random effects, and fixed effects. The results of the robust fixed effects model indicate that the population aged 65 and over and the old dependency ratio have a positive effect on economic growth. The finding supports the argument indicating that an aging population does not necessarily adversely affect economic growth in the developing countries as it does in the developed countries. Therefore, the elderly population is not a matter of concern for the Middle East and the mechanisms through which the effect can take place are savings behavior and human capital accumulation of the individuals.

Islamic Banking and Economic Growth

2020 ◽  
pp. 86-114
Author(s):  
Bilal Kchouri ◽  
Thorsten Lehnert
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Panel Data ◽  
Economic Performance ◽  
Fixed Effects ◽  
Banking Industry ◽  
Financial Structure ◽  
Islamic Banking ◽  
Total Size ◽  
Macroeconomic Factors

This chapter measures the effect of growth in Islamic Banking assets on economic performance in a sample of 32 developed and developing countries based on data for the period 2000-2017. The findings show that, although Islamic banks are considered small relative to the total size of the financial sector, these are positively correlated with economic growth even after controlling for financial structure, macroeconomic factors and other variables. The outcome is robust across different econometric specifications like pooling OLS, fixed effects, and panel data with over-identified GMM. The results are confirmed on two different indicators of Islamic banking and hold for different periods. Empirical findings confirm theoretical expectations that although Islamic banking still represents a relatively very small share of the financial system, it is growing and generating an economic boost to ensure a stable banking industry.

scholarly journals Foreign finance, economic growth and CO2 emissions Nexus in OECD countries

2019 ◽  
Vol 12 (2) ◽  
pp. 161-181 ◽  
Author(s):  
Faris Alshubiri ◽  
Mohamed Elheddad
Keyword(s):  
Economic Growth ◽  
Linear Relationship ◽  
Environmental Quality ◽  
Foreign Investment ◽  
Fixed Effects ◽  
Oecd Countries ◽  
Content Type ◽  
Non Linear ◽  
The Relationship ◽  
Threshold Point

Purpose This study aims to examine the relationship between foreign finance, economic growth and CO2 to investigate if the environmental Kuznets curve (EKC) exists as an empirical evidence in 32 selected Organization for Economic Co-operation and Development (OECD) countries. Design/methodology/approach This study used quantitative analysis to test two main hypotheses: H1 is the U-shape relationship between foreign finance and environment, and H2 is the N-shaped association between economic growth and environment. In doing so, this study used panel data techniques. The panel set contained 32 countries over the period from 1990 to 2015, with 27 observations for each country. This study applied a panel OLS estimator via fixed-effects control to address heterogeneity and mitigate endogeneity. Generalized method of moments (GMM) with fixed effects-instrumental variables (FE-IV) and diagnostic tests were also used. Findings The results showed that foreign finance and environmental quality have an inverted U-shaped association. The three proxies’ foreign investment, foreign assets and remittance in the first stages contribute significantly to CO2 emissions, but after the threshold point is reached, these proxies become “environmentally friendly” by their contribution to reducing CO2 emissions. Also, a non-linear relationship denotes that foreign investment in OECD countries enhances the importance, as a proxy of foreign finance has greater environmental quality than foreign assets. Additionally, empirical results show that remittances received is linked to the highest polluted levels until a threshold point is reached, at which point it then helps reduce CO2 emissions. The GMM and FE-IV results provide robust evidence on inverse U-shaped relationship, while the N-shaped relationship explains that economic growth produces more CO2 emissions at the first phase of growth, but the quadratic term confirms this effect is negative after a specific level of GDP is reached. Then, this economic growth makes the environment deteriorate. These results are robust even after controlling for the omitted variable issue. The IV-FE results indicate an N-shaped relationship in the OECD countries. Practical implications Most studies have used different economic indicators as proxies to show the effects of these indicators on the environment, but they are flawed and outdated regarding the large social challenges facing contemporary, socio-financial economic systems. To overcome these disadvantages, the social, institutional and environmental aspects of economic development should also be considered. Hence, this study aims to explain this issue as a relationship with several proxies in regard to environmental, foreign finance and economic aspects. Originality/value This paper uses updated data sets for analyzing the relationship between foreign finance and economic growth as a new proxy for pollution. Also, this study simulates the financial and environmental future to show their effect on investments in different OECD countries. While this study enhances the literature by establishing an innovative control during analysis, this will increase to add value. This study is among the few studies that empirically investigate the non-linear relationship between finance and environmental degradation.

scholarly journals Trade Balance Effects on Economic Growth: Evidence from European Union Countries

Economies ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 54
Author(s):  
Deimante Blavasciunaite ◽  
Lina Garsviene ◽  
Kristina Matuzeviciute
Keyword(s):  
Economic Growth ◽  
European Union ◽  
Trade Balance ◽  
Fixed Effects ◽  
Negative Impact ◽  
Trade Deficit ◽  
Multivariate Regression Analysis ◽  
The European Union ◽  
Linear Effect ◽  
The Impact

A growing number of recent research analyse the trade balance impact on economic growth. However, ambiguous results of studies imply the need for the research as the deteriorating trade balance hinders economic growth. This research aims to investigate the impact of the trade balance on economic growth as well as to evaluate it during the periods of trade deficit. Our estimations are based on the European Union (EU) 28 countries panel data over the period of 1998–2018, using the OLS method of multivariate regression analysis with fixed effects and focusing on two strategies: (i) including all trade balance periods, and (ii) adding deficit dummy variable seeking to evaluate whether during deficit periods we can find different and significant effect on economic growth. Evaluating all trade balance periods, the obtained results indicate the negative and lagging impact of the trade balance on economic growth, and no significant differences of the impact were identified during the deficit periods. The deterioration of trade balance reduces average economic growth and from linear relationship evaluation, we can state that it does not matter whether it starts from trade deficit or surplus result. The results obtained may also obscure the possibility of a non-linear effect, which would suggest a stronger negative impact on economic growth when the trade balance deteriorates in the presence of a large trade deficit. When discussing directions for further research it would make sense to consider other factors, such as the size of the deficit and its permanence.

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