Robust analysis of the determinants of healthcare expenditure growth: evidence from panel data for low-, middle- and high-income countries

2016 ◽  
Vol 31 (4) ◽  
pp. 580-601 ◽  
Author(s):  
Moheddine Younsi ◽  
Mohamed Chakroun ◽  
Amine Nafla
Keyword(s):  
Panel Data ◽  
Healthcare Expenditure ◽  
High Income ◽  
Robust Analysis ◽  
Expenditure Growth

scholarly journals Heterogeneity in the Effect of Common Shocks on Healthcare Expenditure Growth

2016 ◽  
Vol 25 (9) ◽  
pp. 1090-1103 ◽  
Author(s):  
Katharina Hauck ◽  
Xiaohui Zhang
Keyword(s):  
Healthcare Expenditure ◽  
Common Shocks ◽  
Expenditure Growth

The impact of economic and financial development on environmental degradation

2015 ◽  
Vol 32 (4) ◽  
pp. 485-502 ◽  
Author(s):  
Samia Nasreen ◽  
Sofia Anwar
Keyword(s):  
Panel Data ◽  
Financial Development ◽  
Environmental Degradation ◽  
Low Income ◽  
Ordinary Least Squares ◽  
Dynamic Panel Data ◽  
High Income ◽  
Empirical Literature ◽  
Content Type ◽  
The Impact

Purpose – The purpose of this study is to validate the impact of economic and financial development along with energy consumption on environmental degradation using dynamic panel data models for the period 1980-2010. The study uses three sub-panels constructed on the basis of income level to make panel data analysis more meaningful. Design/methodology/approach – Larsson et al. panel cointegration technique, fully modified ordinary least squares and vector error correction model causality analysis are applied for empirical estimation. Findings – Main empirical findings demonstrate that financial development reduces environmental degradation in the high-income panel and increases environmental degradation in the middle- and low-income panels. Hypothesis of the environmental Kuznets curve is accepted in all income panels. Granger causality results show the evidence of bidirectional causality between financial development and CO2 emission in the high-income panel, and unidirectional causality from financial development to CO2 emission in the middle- and low-income panels. Originality/value – In empirical literature, only a few studies explain the effect of financial development on environment. The present study is an effort to fill this gap by exploring the effect of economic and financial development on environmental degradation.

scholarly journals THE IMPACT OF HEALTHCARE EXPENDITURE AND HEALTHCARE SECTOR GROWTH ON CO2 EMISSION USING DYNAMIC PANEL DATA SYSTEM GMM ESTIMATION MODEL DURING COVID 19 CRISIS

2020 ◽  
Vol 10 (6) ◽  
pp. 235-241
Author(s):  
Irza Hanie Abu Samah ◽  
Intan Maizura Abd Rashid ◽  
Wan Ahmad Fauzi Wan Husain ◽  
Suraiya Ibrahim ◽  
Hariri Hamzah ◽  
...  
Keyword(s):  
Panel Data ◽  
Co2 Emission ◽  
Healthcare Expenditure ◽  
Dynamic Panel Data ◽  
Data System ◽  
Healthcare Sector ◽  
Estimation Model ◽  
Dynamic Panel ◽  
Gmm Estimation ◽  
The Impact

The Influence of Tourism on Income Inequality

2020 ◽  
pp. 004728752095453
Author(s):  
Canh Phuc Nguyen ◽  
Christophe Schinckus ◽  
Thanh Dinh Su ◽  
Felicia Hui Ling Chong
Keyword(s):  
Panel Data ◽  
Income Inequality ◽  
Institutional Quality ◽  
High Income ◽  
International Tourism ◽  
Institutional Adjustment ◽  
Middle Income ◽  
Income Inequalities ◽  
Do So

This article examines the influence of tourism on income inequality on a global sample. Our analysis uses various econometric techniques for panel data including 97 countries over the period 2002–2014 categorized into three subsamples: 30 low- and lower-middle-income economies (LMEs), 25 upper-middle-income economies (UMEs), and 42 high-income economies (HIEs). Our empirical findings are interesting. First, both domestic and international tourism reduce income inequality whereas a better institutional quality increases the income inequality. Our findings also clearly indicate that international tourism contributes to the reduction of income inequalities while the national tourism requires an institutional adjustment in the LMEs and the UMEs to do so. This observation highlights the important roles of tax and transfer policies in fighting against income inequality.

scholarly journals THE CHAOTIC GROWTH MODEL: INTERNATIONAL TOURISM

2020 ◽  
pp. 29-38
Author(s):  
Vesna D. Jablanovic ◽  
Keyword(s):  
Growth Model ◽  
High Income ◽  
International Tourism ◽  
Middle Income ◽  
Middle Income Countries ◽  
Expenditure Growth ◽  
Stable Equilibria ◽  
Stable Growth ◽  
Set Up ◽  
Chaotic Growth

The basic aims of this paper are: firstly, to create a relatively simple chaotic international tourism expenditure growth model that is capable of generating stable equilibria, cycles, or chaos; and secondly, to set up a relatively simple chaotic international tourism receipts growth model. This paper confirms stable growth of the international tourism receipts and expenditures in high-income countries, low & middle-income countries, lower-middle-income countries, middle-income countries, and upper-middle-income countries in the period 1995-2018.

scholarly journals On the Network Transmission Mechanisms of Disease-Specific Healthcare Expenditure Spillovers: Evidence from the Connectedness Network Analyses

Healthcare ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 319
Author(s):  
Wen-Yi Chen
Keyword(s):  
Healthcare Expenditure ◽  
Least Square ◽  
Care Utilization ◽  
Healthcare Expenditures ◽  
Network Analyses ◽  
Transmission Mechanisms ◽  
Factors Influencing ◽  
Expenditure Growth ◽  
Network Transmission ◽  
Disease Specific

Previous studies investigating factors influencing healthcare expenditure growth ignored the network transmission mechanisms of disease-specific healthcare expenditure spillovers and regarded the processes culminating in healthcare expenditure growth as a black box. In this study, we investigated factors influencing the network transmission mechanisms underlying the determinants of healthcare expenditure growth through the dynamic connectedness network and the robust least square regression analyses. Our results indicate that demographic transition and business cycles are key factors increasing interconnectedness of different disease-specific healthcare expenditures, and that promotion of primary care utilization would reduce total healthcare expenditure spillovers. In order to reduce diffusion of disease-specific healthcare expenditures, health promotion activities should focus on those clinical diagnosis-related groups of diseases classified as pure net transmitters of spillover, and preventive interventions targeting different diseases should be activated in different phrases of the business cycle.

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