scholarly journals Economic Globalization and Financial Development in East Asia: A Panel Cointegration and Causality Analysis

2014 ◽  
Vol 50 (1) ◽  
pp. 210-225 ◽  
Author(s):  
Siong Hook Law ◽  
W. N. W. Azman-Saini ◽  
Hui Boon Tan
Keyword(s):  
East Asia ◽  
Financial Development ◽  
Panel Cointegration ◽  
Economic Globalization ◽  
Causality Analysis

scholarly journals The relationship between tourism and economic growth among BRICS countries: a panel cointegration analysis

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Haroon Rasool ◽  
Shafat Maqbool ◽  
Md. Tarique
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Panel Cointegration ◽  
Cointegration Analysis ◽  
International Tourism ◽  
Causality Analysis ◽  
Panel Ardl ◽  
Brics Countries ◽  
Inbound Tourism ◽  
The Relationship

AbstractTourism has become the world’s third-largest export industry after fuels and chemicals, and ahead of food and automotive products. From last few years, there has been a great surge in international tourism, culminates to 7% share of World’s total exports in 2016. To this end, the study attempts to examine the relationship between inbound tourism, financial development and economic growth by using the panel data over the period 1995–2015 for five BRICS (Brazil, Russia, India, China and South Africa) countries. The results of panel ARDL cointegration test indicate that tourism, financial development and economic growth are cointegrated in the long run. Further, the Granger causality analysis demonstrates that the causality between inbound tourism and economic growth is bi-directional, thus validates the ‘feedback-hypothesis’ in BRICS countries. The study suggests that BRICS countries should promote favorable tourism policies to push up the economic growth and in turn economic growth will positively contribute to international tourism.

The Nexus between Financial Development and Human Development: The Case of Developing Countries

2020 ◽  
Vol 8 (2) ◽  
pp. 68
Author(s):  
Bilgehan Tekin
Keyword(s):  
Developing Countries ◽  
Private Sector ◽  
Human Development ◽  
Financial Development ◽  
Cointegration Analysis ◽  
Annual Data ◽  
Causality Analysis ◽  
Development Index ◽  
Development Levels ◽  
The Relationship

The purpose of this study to examine the relationship between financial development and human development in the health and welfare dimensions of developing countries. This study aims to determine whether the financial developments of the countries have an effect on the basic human development of the individuals and whether human development indicators have an impact on financial development. In this study, the relationship between financial development and human development has been tried to be revealed by using data obtained from developing countries. Financial development levels of the countries were measured with the developed financial development index. The index is calculated by using M3 / GDP, private sector loans / GDP and loans to banks from private sector / GDP ratios. The human development index is calculated by considering various health indicators and GNP per capita. The data includes annual data for the period 1970-2016. Pedroni and Kao cointegration analysis and Dumitrescu & Hurlin panel causality analysis were performed in the study. According to the results of the study, the cointegration relationship was determined between the two variables. There is also a two-way causality between the variables.

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>

scholarly journals The Nexus between Financial Development and Economic Growth: Panel Data Evidence from Developing Countries

2021 ◽  
Vol 14 (10) ◽  
pp. 489
Author(s):  
E. M. Ekanayake ◽  
Ranjini Thaver
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Panel Data ◽  
Least Squares ◽  
Financial Development ◽  
Panel Cointegration ◽  
Sub Saharan Africa ◽  
Explanatory Variables ◽  
Cointegration Tests ◽  
Sub Saharan

The objective of this study is to investigate the nexus between financial development (FD) in economic growth (GROWTH) in developing countries. The study uses panel data from 138 developing countries during the period 1980–2018. The relationship between financial development and economic growth is investigated using four explanatory variables that are commonly used to measure the level of financial development and several other control variables, including a dummy variable representing the financial and banking crises. The sample of 138 developing countries is also classified into six geographic regions. We have carried out panel unit-root tests and panel cointegration tests before estimating the specified models using both Panel Least Squares (Panel LS) and Panel Fully Modified Least Squares (FMOLS) methods. In addition, panel Granger causality tests have been conducted to identify the direction of causality between FD and GROWTH for each of the regions. The results of the study provide evidence of a direct relationship between FD and GROWTH in developing countries. Furthermore, there is evidence of bi-directional causality running from FD to GROWTH and from GROWTH to FD in samples of Europe and Central Asia, South Asia, and all countries, but not in East Asia and Pacific, Latin America and the Caribbean, Middle East and North Africa, and Sub-Saharan Africa.

scholarly journals The Causal Relationship between Inflation and Unemployment: A Panel Cointegration and Causality Analysis

2014 ◽  
Author(s):  
Ekrem Gül ◽  
Ahmet Kamacı ◽  
Serkan Konya
Keyword(s):  
Phillips Curve ◽  
Causal Relation ◽  
Panel Data Analysis ◽  
Consumer Price Index ◽  
Panel Cointegration ◽  
Causality Analysis ◽  
Causality Test ◽  
Panel Causality ◽  
Unemployment Rates ◽  
The Difference

Central Asian Republics have been facing high unemployment rates and inflation problems since they established. This work is based on the Phillips curve, which deals the opposite relationship between inflation and unemployment. In the article, unemployment rates and Consumer Price Index (CPI) are used. Within this work, the relationship between inflation and unemployment is examined by the panel data analysis for Azerbaijan, Kazakhstan, Kyrgyzstan, Macedonia and Turkey (1996-2012).We acquired the data of this work from the web site of the IMF. Panel Unit Root Tests are used in order to test stagnation of the data. Afterwards Cointegration Test and Panel Causality Test are used. After that panel cointegration and panel causality tests were made to learn if a cointegral relationship was occurred between inflation and unemployment rate or not. As a result of this study we done, the data level is not stable. Because of that reason, we took the difference of them. There is a one-sided causal relation from inflation to unemployment rates in Turkey and other countries.

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