Health Care Expenditure and Economic Growth in SAARC Countries (1995–2012): A Panel Causality Analysis

2015 ◽  
Vol 11 (3) ◽  
pp. 639-661 ◽  
Author(s):  
Habib Nawaz Khan ◽  
Muhammad Arshad Khan ◽  
Radzuan B. Razli ◽  
Afz’a Binti Sahfie ◽  
Gulap Shehzada ◽  
...  
2017 ◽  
Vol 1 (2) ◽  
pp. 71 ◽  
Author(s):  
Hasan Dinçer ◽  
Serhat Yüksel ◽  
Zafer Adalı

The main purpose of this study is to evaluate the causality relationship between energy consumption and economic growth for developed countries. Within this context, annual data of 22 developed countries was examined by using Dumitrescu Hurlin panel causality analysis. As a result, it was determined that that there is a bidirectional relationship between energy consumption and economic improvement for developed countries. This condition provides two different results. Firstly, energy consumption has an influence on economic development for these countries. While considering this result, it can be said that any limitation in energy consumption will restrict economic growth. Moreover, it was also concluded that level of economic growth is the main reason of energy consumption for developed countries. In other words, developed countries tend to have more energy consumption when their economies are growing.


2007 ◽  
Vol 12 (1) ◽  
pp. 1-34 ◽  
Author(s):  
A.R. Kemal ◽  
Abdul Qayyum Abdul Qayyum ◽  
Muhammad Nadim Hanif

This paper examines the empirical relationship between financial development and economic growth for high income countries. The study focuses on both indirect finance and direct finance, separately as well as jointly. Applying the methodology of Nair-Reichert and Weinhold (2001) for causality analysis in heterogeneous panel data, two sets of results are reported. First, the evidence regarding the relationship between financial development and economic growth from a contemporaneous non-dynamic fixed effects panel estimation is mixed. Negative and statistically significant estimates of the coefficient of the inflation and financial development interaction variable indicate that financial sector development may even be harmful to economic growth when inflation is rising. Second, in contrast with the recent evidence of Beck and Levine (2003), heterogeneous panel causality analysis applied on a refined model indicates that there is no definite evidence that finance spurs economic growth or growth spurs finance. Most of our findings are in line with the Lucas (1988) view that the importance of financial matters is overstressed. The only exception is the case of activity in stock markets where our result supports the Robinson (1952) view that finance follows enterprise.


2020 ◽  
Vol 71 (4) ◽  
pp. 407-430
Author(s):  
Özgür Bayram Soylu

The tourism has economic, social and political effects and contributes to the economic development of many countries. Interaction levels of national economies increase with tourism through globalization. This study aims to test the causality relationship between the components of the tourism and economic growth. The causality relationship between the components of the tourism and economic growth by using panel causality analysis method. The findings indicate a bi-directional causality relationship between growth and tourism expenditures and tourism revenues. Tourism expenditures, tourism receipts and number of international arrivals are parameters of the tourism. Real gross domestic product ratio is used as a growth indicator. The top eight tourist destinations are analyzed; Spain, Italy, Russia, Turkey, France, China, USA, UK. In this context; A panel dataset was created for the top eight tourism countries over the period 1995–2017. The arrivals of tourists, expenditure levels of tourists and tourism receipts are important indicators for the national economies. The positive effects of these indicators on the balance of payments, being a source of foreign exchange, employment creation, triggering investment in infrastructure and superstructure and creating a revitalizing effect in other sectors, have an important place in the region and country economy with their socio-cultural reflections.


-Evidence shows that human capital is a leading driver and one of the most important factors affecting economic development. Economic growth models emphasize the effect that human capital has on the growth and prosperity of a country. The indicators used to measure human capital vary. In this article we will use total health expenditure as a measure for human capital. A healthier population will obviously lead to increased productivity and consequently a higher income for the individual. By increasing public health investments, the workforce will potentially be healthier and consequently human productivity will increase. One of the most important lessons to be learned from the coronavirus pandemic is the importance of investments in health care services, human resources and technical infrastructure for the economy. The aim of this article is to study the relationship between Health Care Expenditure (HCE) per capita and Gross Domestic Product GDP per capita in Albania. The data (in $) is taken from the World Health Organization website, for the time period 1996-2017. The methods used are the ARDL Bounds testing approach for co-integration and the Granger causality test. The main results are: the variables per capita GDP and per capita HCE are not cointegrated. The ARDL(1,1) model estimation points out the positive relationship between the two variables. Also, our study confirms the existence of joint causality between per capita GDP and per capita HCE.


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