Economic growth and health in India: a panel cointegration assessment

2012 ◽  
Vol 13 (4) ◽  
pp. 223 ◽  
Author(s):  
Rudra P. Pradhan ◽  
Tapan P. Bagchi
Keyword(s):  
Economic Growth ◽  
Panel Cointegration

Vicious Cycle of Economic Growth, Pm2.5 and COVID-19 Case of G7 Countries

2020 ◽  
Author(s):  
Rıdvan Karacan
Keyword(s):  
Economic Growth ◽  
Air Pollution ◽  
Particulate Matter ◽  
Fossil Fuels ◽  
Fine Particulate Matter ◽  
Panel Cointegration ◽  
Air Pollutant ◽  
Population Exposure ◽  
Causality Analysis ◽  
G7 Countries

<p>Today, production is carried out depending on fossil fuels. Fossil fuels pollute the air as they contain high levels of carbon. Many studies have been carried out on the economic costs of air pollution. However, in the present study, unlike the former ones, economic growth's relationship with the COVID-19 virus in addition to air pollution was examined. The COVID-19 virus, which was initially reported in Wuhan, China in December 2019 and affected the whole world, has caused many cases and deaths. Researchers have been going on studying how the virus is transmitted. Some of these studies suggest that the number of virus-related cases increases in regions with a high level of air pollution. Based on this fact, it is thought that air pollution will increase the number of COVID-19 cases in G7 Countries where industrial production is widespread. Therefore, the negative aspects of economic growth, which currently depends on fossil fuels, is tried to be revealed. The research was carried out for the period between 2000-2019. Panel cointegration test and panel causality analysis were used for the empirical analysis. Particulate matter known as PM2.5[1] was used as an indicator of air pollution. Consequently, a positive long-term relationship has been identified between PM2.5 and economic growth. This relationship also affects the number of COVID-19 cases.</p><p><br></p><p><br></p><p>[1] "Fine particulate matter (PM2.5) is an air pollutant that poses the greatest risk to health globally, affecting more people than any other pollutant (WHO, 2018). Chronic exposure to PM2.5 considerably increases the risk of respiratory and cardiovascular diseases in particular (WHO, 2018). For these reasons, population exposure to (outdoor or ambient) PM2.5 has been identified as an OECD Green Growth headline indicator" (OECD.Stat).</p>

Export-led Growth Hypothesis in MINT Countries: A Panel Cointegration Analysis

2017 ◽  
Author(s):  
Harun Bal ◽  
Shahanara Basher ◽  
Abdulla Hil Mamun ◽  
Emrah Akça
Keyword(s):  
Economic Growth ◽  
Large Population ◽  
Panel Cointegration ◽  
Secondary Data ◽  
Capital Formation ◽  
Cointegration Analysis ◽  
Promotion Strategy ◽  
Key Factor ◽  
Good Number ◽  
Growth Hypothesis

The contribution of exports to GDP in MINT countries that improve substantially just after their implantation of export promotion strategy in the late 1980s raises the issue of whether the growth in these countries is led by export or not. While a good number of studies have been found investigating whether economic growth is promoted by exports for developing countries having an outstanding share of export in GDP, no study investigating the export-led growth hypothesis for MINT countries has been found until recent times. The main purpose of this study is to fill up the void. The study employs panel cointegration technique with an aim to examine whether the export is the key factor of economic growth for MINT countries employing yearly secondary data that covers the period. Results of the study imply that economic growth of these countries is considerably exports driven. Moreover, there is an indication of improvement of efficiency as exports work along with the rise capital formation. As the employment opportunity of an economy is expanded through capital formation, the emerging MINT countries endowed with large population and favorable demographics are expected to become the major exporters with strong GDP growth by being able to attract adequate foreign investment.

Military Expenditures and Economic Growth in Central and Eastern EU Countries: Evidence from the Post-Cold War Era

2017 ◽  
Vol 25 (3) ◽  
pp. 453-462 ◽  
Author(s):  
Mert Topcu ◽  
İlhan Aras
Keyword(s):  
Economic Growth ◽  
Panel Cointegration ◽  
Eastern European ◽  
The European Union ◽  
New Members ◽  
Post Cold War ◽  
Long Run ◽  
Short Run ◽  
Military Expenditures ◽  
Eastern European Countries

Although the relationship between military expenditures and economic growth is well documented for the old members of the European Union, empirically little is known for the new members. Thus, the goal of this paper is to investigate the economic impact of military expenditures in Central and Eastern European countries employing panel cointegration and causality methods for the period 1993–2013. Findings indicate that the variables in question do not move together in the long run and the direction of causality in the short run is from economic growth to military expenditures. The implications of the results for international relations are discussed.

scholarly journals The Causality between Education and GDP Growth in Asian Countries

2015 ◽  
Vol 50 ◽  
pp. 28-35 ◽  
Author(s):  
Mohsen Mehrara ◽  
Maysam Musai
Keyword(s):  
Economic Growth ◽  
Formal Education ◽  
Panel Cointegration ◽  
Capital Formation ◽  
Cointegration Analysis ◽  
Point Of View ◽  
Asian Countries ◽  
Variable Model ◽  
Long Run ◽  
Educational Investments

This paper investigates the causal relationship between education and GDP in 40 Asian countries by using panel unit root tests and panel cointegration analysis for the period 1970-2010. A three-variable model is formulated with capital formation as the third variable. The results show a strong causality from investment and economic growth to education in these countries. Yet, education does not have any significant effects on GDP and investment in short- and long-run. It means that it is the capital formation and GDP that drives education in mentioned countries, not vice versa. So the findings of this paper support the point of view that it is higher economic growth that leads to higher education proxy. It seems that as the number of enrollments raise, the quality of the education declines. Moreover, the formal education systems are not market oriented in these countries. This may be the reason why huge educational investments in these developing countries fail to generate higher growth. By promoting practice-oriented training for students particularly in technical disciplines and matching education system to the needs of the labor market, it will help create long-term jobs and improve the country’s future prospects.

scholarly journals Does Renewable Energy Matter for Economic Growth in Central and Eastern European Countries? Empirical Evidence from Heterogeneous Panel Cointegration Analysis

2021 ◽  
Vol 31 (1) ◽  
pp. 34-59
Author(s):  
Olimpia Neagu ◽  
Cristian Haiduc ◽  
Andrei Anghelina
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Empirical Evidence ◽  
Panel Cointegration ◽  
Cointegration Analysis ◽  
Eastern European ◽  
Renewable Energy Consumption ◽  
Eastern European Countries ◽  
Heterogeneous Panel

AbstractThe aim of the paper is to provide empirical evidence in support of the relationship between renewable energy consumption and economic growth in eleven Central and Eastern European (CEE) countries over the period 1995-2015 within a multivariate panel data analysis. Based on World Bank data, the panel cointegration analysis reveals that renewable energy consumption and economic growth are positively associated in the long run in CEE countries. The heterogeneous panel causality test indicates a bi-directional causality relationship in support of the feedback hypothesis between economic growth and renewable energy consumption in Central and Eastern European countries.

scholarly journals Economic freedom and growth: A panel cointegration approach

2016 ◽  
Vol 63 (5) ◽  
pp. 541-562 ◽  
Author(s):  
Bernur Acikgoz ◽  
Anthony Amoah ◽  
Mine Yilmazer
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Economic Freedom ◽  
Panel Cointegration ◽  
Government Regulations ◽  
Policy Makers ◽  
Country Group ◽  
Long Run ◽  
Growth Prospects

This study uses three-country group panel data from 1993 to 2011 in examining the long-run effect of tax burdens (Fiscal index) and government regulations of business (Business index) on economic growth. The outcome of the panel cointegration approach suggests that the variables have a long-run relationship with economic growth. The study finds all the signs of the variables used to be consistent with theoretical expectations. Regarding the variables of interest, it is also found that the Fiscal index has a positive and significant effect on economic growth for all three-country groups. In addition, the Business index has a positive and significant effect for only two-country groups. The study finds that tax burdens and government regulations play an important role on economic growth for most countries in the sample. To harness economic growth prospects, the study offers recommendations for policy makers to consider.

scholarly journals Are There Significant Externality Effects of Remittances in Asian Economic Growth?

2018 ◽  
Vol 64 (2) ◽  
pp. 127-135
Author(s):  
Gazi M. Hassan ◽  
Shamim Shakur
Keyword(s):  
Economic Growth ◽  
Endogenous Growth ◽  
Production Function ◽  
Panel Cointegration ◽  
Education Sector ◽  
Asian Countries ◽  
Dynamic Ols ◽  
Jel Classifications

Abstract This article estimates the externality effects of remittances in a sample of Asian countries. According to Romer (1986) externality generated by education sector can raise nationwide productivity. Because a significant portion of remittances income is invested on education, remittances stock can also generate such externalities. Using a Romer type production function and with the aid of panel cointegration technique applied to the data, we find evidence in favour of a highly significant externality effects of remittances, although these estimates are small in magnitude. JEL classifications: F24; F43; O11; O15 Keywords: Remittances; Externality Effects; Endogenous Growth; Panel Cointegration, group-mean panel dynamic OLS

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