scholarly journals Analysis of daily reproduction rates of COVID-19 using Current Health Expenditure as Gross Domestic Product percentage (CHE/GDP) across countries

2021 ◽  
Author(s):  
Kayode Oshinubi ◽  
Mustapha Rachdi ◽  
Jacques Demongeot
Keyword(s):  
Public Health ◽  
Gross Domestic Product ◽  
Health Expenditure ◽  
Arima Model ◽  
Least Square ◽  
Domestic Product ◽  
Infectious Period ◽  
Current Health ◽  
Health Infrastructure ◽  
Second Wave

(1) Background: Impact and severity of coronavirus pandemic on health infrastructure vary across countries. We examine the role percentage health expenditure plays in various countries in terms of their preparedness and see how countries improved their public health policy in the first and second wave of the coronavirus pandemic; (2) Methods: We considered the infectious period during the first and second wave of 195 countries with their Current Health Expenditure as Gross Domestic Product percentage (CHE/GDP). Exponential model was used to calculate the slope of the regression line while the ARIMA model was used to calculate the initial autocorrelation slope and also to forecast new cases for both waves. The relationship between epidemiologic and CHE/GDP data was used for processing ordinary least square multivariate modeling and classifying countries into different groups using PC analysis, K-means and Hierarchical clustering; (3) Results: Results show that some countries with high CHE/GDP improved their public health strategy against virus during the second wave of the pandemic; and (4) Conclusions: Results revealed that countries who spend more on health infrastructure improved in the tackling of the pandemic in the second wave as they were worst hit in the first wave. This research will help countries to decide on how to increase their CHE/GDP in order to tackle properly other pandemic waves of the present Covid-19 outbreak and future diseases that may occur. We are also opening up a debate on the crucial role socio-economic determinants play during the exponential phase of the pandemic modelling.

scholarly journals Analysis of Reproduction Number R0 of COVID-19 Using Current Health Expenditure as Gross Domestic Product Percentage (CHE/GDP) across Countries

Healthcare ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1247 ◽  
Author(s):  
Kayode Oshinubi ◽  
Mustapha Rachdi ◽  
Jacques Demongeot
Keyword(s):  
Public Health ◽  
Gross Domestic Product ◽  
Health Expenditure ◽  
Arima Model ◽  
Least Square ◽  
Domestic Product ◽  
Infectious Period ◽  
Current Health ◽  
Health Infrastructure ◽  
Second Wave

(1) Background: Impact and severity of coronavirus pandemic on health infrastructure vary across countries. We examine the role percentage health expenditure plays in various countries in terms of their preparedness and see how countries improved their public health policy in the first and second wave of the coronavirus pandemic; (2) Methods: We considered the infectious period during the first and second wave of 195 countries with their current health expenditure as gross domestic product percentage (CHE/GDP). An exponential model was used to calculate the slope of the regression line while the ARIMA model was used to calculate the initial autocorrelation slope and also to forecast new cases for both waves. The relationship between epidemiologic and CHE/GDP data was used for processing ordinary least square multivariate modeling and classifying countries into different groups using PC analysis, K-means and hierarchical clustering; (3) Results: Results show that some countries with high CHE/GDP improved their public health strategy against virus during the second wave of the pandemic; (4) Conclusions: Results revealed that countries who spend more on health infrastructure improved in the tackling of the pandemic in the second wave as they were worst hit in the first wave. This research will help countries to decide on how to increase their CHE/GDP in order to properly tackle other pandemic waves of the present COVID-19 outbreak and future diseases that may occur. We are also opening up a debate on the crucial role socio-economic determinants play during the exponential phase of the pandemic modelling.

scholarly journals LONG-TERM MODEL AND MONTE CARLO SIMULATION OF THE PUBLIC HEALTH EXPENDITURE IN BULGARIA

2021 ◽  
Vol 27 (3) ◽  
pp. 3911-3918
Author(s):  
Nikolay Atanasov ◽  
Keyword(s):  
Public Health ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Gross Domestic Product ◽  
Health Expenditure ◽  
Domestic Product ◽  
Public Health Expenditure ◽  
The Public ◽  
Term Model

Purpose: The aim of the study is to build a long-term model and conduct a Monte Carlo simulation of the public health expenditure (PHE) of Bulgaria with the gross domestic product (GDP) as an independent variable. Material/Methods: Statistical models are used for modeling the long-term dependence between the macroeconomic dynamic rows, testing of hypotheses of stationarity (Augmented Dickey-Fuller tests), for serial autocorrelation and others. Results: There is a well-defined, statistically significant long-term relationship between public health expenditure and gross domestic product. The long-term model of health expenditure has an estimate of the cointegration constant of 1.023 (p-value < 0.05). Monte Carlo simulations are presented with 1 000, 2 000 and 3 000 experiments, generated based on the normal distribution of the input variable. Conclusions: In the period after the year 1990, a well-defined long-term relationship between public health expenditure and GDP exists. The Monte Carlo simulation can be regarded as a reliable instrument for studying the most likely fluctuations in health expenditure caused by the GDP.

PENGARUH PENANAMAN MODAL ASING, PERDAGANGAN INTERNASIONAL, GDP PER KAPITA, SEKTOR PERTANIAN, DAN URBANISASI TERHADAP PENDUDUK BEKERJA DI INDONESIA

2017 ◽  
Vol 21 (2) ◽  
pp. 85-95
Author(s):  
John Marcell Rumondor
Keyword(s):  
International Trade ◽  
Gross Domestic Product ◽  
Foreign Investment ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Domestic Product ◽  
Working Population ◽  
Ordinary Least Square ◽  
Per Capita

This research aims to understand the influenceof foreign investment, international trade, Gross Domestic Product per capita, agriculture and urbanization of the working population. Country used as an object in this research is Indonesia. This research uses the method of analysis Ordinary Least Square (OLS) and the multiple linear regression analysis method. Research period are from 1997 – 2012. The results showed that the international trade, Gross Domestic Product per capita, agriculture and urbanization have significantpositive influenceon the population work in Indonesia, but foreign investment has no significanteffect on the working population in Indonesia.

Pengaruh Pertumbuhan Ekonomi, Foreign Direct Investment dan Tax Rate Terhadap Penerimaan PPh Badan Negara ASEAN

2020 ◽  
Vol 5 (4) ◽  
pp. 325-342
Author(s):  
Merry Inriama ◽  
Milla Sepliana Setyowati
Keyword(s):  
Foreign Direct Investment ◽  
Gross Domestic Product ◽  
Direct Investment ◽  
Random Effect ◽  
Random Effect Model ◽  
Least Square ◽  
Domestic Product ◽  
Tax Rate ◽  
Effect Model

Keterbukaan perekonomian menjadi penentu yang penting dalam pertumbuhan ekonomi. Kondisi perekonomian suatu negara dapat memberi dampak terhadap penerimaan sektor perpajakan. Hal ini dapat dilihat dari salah satu penerimaan pajak suatu negara yaitu melalui penerimaan PPh Badan. Tujuan dalam penelitian ini adalah untuk menganalisis pengaruh pertumbuhan ekonomi yang diukur dengan Gross Domestic Product (GDP), Foreign Direct Investment (FDI), dan Tax Rate terhadap besarnya penerimaan PPh Badan (CIT) dalam kasus lima negara ASEAN selama periode 1999-2018. Metode penelitian ini dilakukan dengan menggunakan regresi data panel dengan estimasi Random Effect Model atau Generalized Least Square (GLS) dengan program Eviews. Hasil penelitian ini secara simultan menunjukkan bahwa variabel independen yaitu GDP, FDI, dan tax rate memiliki pengaruh yang signifikan terhadap variabel dependen yaitu penerimaan PPh Badan (CIT). Secara parsial PDB dan tax rate memiliki pengaruh positif dan signifikan yang artinya kenaikan atau penurunan GDP dan tax rate akan mempengaruhi kenaikan atau penurunan penerimaan PPh Badan (CIT), sedangkan FDI tidak memiliki pengaruh terhadap penerimaan PPh Badan (CIT). Melalui penelitian ini diharapkan dapat mengukur variabel-variabel yang memiliki pengaruh terhadap penerimaan PPh Badan, sehingga penerimaan PPh Badan dapat ditingkatkan.

scholarly journals An Association of Total Health Expenditure with GDP and Life Expectancy

2017 ◽  
Vol 1 (2) ◽  
pp. AU7-AU12 ◽  
Author(s):  
Sojib Bin Zaman ◽  
Naznin Hossain ◽  
Varshil Mehta ◽  
Shuchita Sharmin ◽  
Shakeel Ahmed Ibne Mahmood
Keyword(s):  
Developing Countries ◽  
Life Expectancy ◽  
Gross Domestic Product ◽  
Health Expenditure ◽  
Health Spending ◽  
Domestic Product ◽  
Fiscal Year ◽  
Total Health Expenditure ◽  
Registration System ◽  
Individual Level

Introduction: Gradual  total health expenditure (THE) has become a major concern. It is not only the increased THE, but also its unequal growth in  overall economy, found among the developing countries. If increased life expectancy is considered as a leverage for an individual’s investment in health services, it can be  expected that as the life expectancy increases, tendency of health care investment will also experience a boost up. Objective: The aim of the present study was to explore and identify the association of healthcare expenditure with the life expectancy and Gross Domestic Product (GDP) in developing countries, especially that of Bangladesh. Methodology: Data were retrospectively collected from “Health Bulletin 2011” and “Sample Vital Registration System 2010” of Bangladesh considering the fiscal year 1996 to fiscal year 2006. Using STATA, multivariable logistic regression was performed to find out the association of total health expenditure with GDP and life expectancy. Results: A direct relationship between GDP and total health expenditure was found through analysing the data. At the individual level, income  had a direct influence on health spending. However, there was no significant relationship between total health expenditure with increased life expectancy. Conclusion: The present study did not find any association between life expectancy and total health expenditure. However, our analysis found out that total health expenditure is more sensitive to gross domestic product rather than life expectancy.

scholarly journals Economic interventions to ameliorate the impact of COVID-19 on the economy and health: an international comparison

2020 ◽  
Author(s):  
Shaun Danielli ◽  
Raman Patria ◽  
Patrice Donnelly ◽  
Hutan Ashrafian ◽  
Ara Darzi
Keyword(s):  
Life Expectancy ◽  
Gross Domestic Product ◽  
International Comparison ◽  
Real World ◽  
Domestic Product ◽  
Real World Data ◽  
Economic Collapse ◽  
Available Information ◽  
The Impact ◽  
Second Wave

Abstract Background The COVID-19 pandemic continues to challenge governments and policymakers worldwide. They have rightfully prioritised reducing the spread of the virus through social distancing interventions. However, shuttered business and widespread restrictions on travel and mobility have led to an economic collapse with increasing uncertainty of how quickly recovery will be achieved. Methods The authors carried out a review of publicly available information on the economic intervention’s countries have put in place to ameliorate the impact of COVID-19. Results The strategies and scale of economic interventions have been broad, ranging from 2.5% to a reported 50% of Gross Domestic Product. Conclusions Numerous countries are beginning to ease lockdown restrictions and restart economies in different ways. There is therefore evolving, real-world data that should be used dynamically by governments and policymakers. The strategies on restarting the economy must be balanced against the uncertainty of a possible second wave of COVID-19. A nuanced approach to easing restrictions needs to take into account not only immediate risk to life but longer-term risks of widening inequalities and falling life expectancy.

scholarly journals Analisis Pengaruh Infrastruktur Listrik, Jalan Dan Kesehatan Terhadap Produk Domestik Regional Bruto Di Kabupaten Sidoarjo

2021 ◽  
Vol 12 (1) ◽  
pp. 54
Author(s):  
Yurike Aldona ◽  
Wiwin Priana Primandhana ◽  
Muhammad Wahed
Keyword(s):  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Domestic Product ◽  
Economic Activities ◽  
Ordinary Least Square ◽  
Health Infrastructure ◽  
Analysis Technique ◽  
Efficiency And Effectiveness

Gross Regional Domestic Product (GDP) is one of the economic indicators according to various economic instruments in which clearly visible macro-economic conditions of a region. Infrastructure is the most primary public infrastructure in supporting a country's economic activities, and the availability of infrastructure greatly determines the level of efficiency and effectiveness of economic activities. This study aims to analyze how much electricity, road, and health infrastructure affects gross regional domestic product in Sidoarjo Regency. This research covers the area of Sidoarjo Regency. This study uses secondary data obtained from the Central Statistics Agency with a period of 15 years from 2005-2019. The analysis technique used is Multiple Linear Regression Analysis with Ordinary Least Square (OLS) model using computer tools SPSS program (Statistic Program For Social Science) Version 13.0 that shows the influence between free variables and bound variables. The end result is that electricity infrastructure variables have a positive and significant influence on gross regional domestic product in Sidoarjo Regency. Variable road infrastructure and health infrastructure have a positive but insignificant influence on gross regional domestic product in Sidoarjo Regency.

scholarly journals DETERMINANTS OF ISLAMIC BANKING PERFORMANCE: AN EMPIRICAL STUDY IN MALAYSIA (2007 TO 2016)

2019 ◽  
Vol 7 (6) ◽  
pp. 380-401 ◽  
Author(s):  
Lee Jun Quan ◽  
Suganthi Ramasamy ◽  
Devinaga Rasiah ◽  
Yuen Yee Yen ◽  
Shalini Devi Pillay
Keyword(s):  
Empirical Study ◽  
Gross Domestic Product ◽  
Credit Risk ◽  
Fixed Effect Model ◽  
Least Square ◽  
Capital Adequacy ◽  
Domestic Product ◽  
Islamic Banking ◽  
Ordinary Least Square ◽  
Effect Model

performance. Methodology: The methodology being used to analysis are an ordinary least square model (OLS) and fixed-effect model. The analysis was conducted in Malaysia for a period of 10 years from 2007 to2016. 10 Islamic banks in Malaysia were chosen to be tested for its performance. The study examines internal factors such as bank size, capital adequacy, liquidity, credit risk, and expense management and external factors such as Gross Domestic Product (GDP) and inflation effect on Islamic Bank’s performance in terms of return on asset and return on equity. Result: The findings showed that only capital adequacy and inflation significantly affect the Islamic bank’s performance. However, bank size, liquidity, credit risk, expense management, and Gross Domestic Product were found to be insignificantly affecting the Islamic bank’s performance. The analysis was carried out by applying ordinary least square model (OLS) regression and fixed-effect model. Applications: This research can be used for universities, teachers, and students. Novelty/Originality: In this research, the model of the Determinants of Islamic Banking Performance: An Empirical Study in Malaysia is presented in a comprehensive and complete manner.

scholarly journals The Effect Of Credit To The Inflation Rate Through Gross Domestic Product In Indonesia

2018 ◽  
Vol 5 (2) ◽  
pp. 78
Author(s):  
Anas Iswanto Anwar ◽  
Ali Akbar
Keyword(s):  
Gross Domestic Product ◽  
Inflation Rate ◽  
Secondary Data ◽  
Least Square ◽  
Bank Credit ◽  
Domestic Product ◽  
Working Capital ◽  
Ordinary Least Square ◽  
Credit Channels ◽  
Transmission Of Monetary Policy

Credit markets are not always balanced because of unbalanced information and other causes. There are two credit channels that influence the transmission of monetary policy from finance to the real sector, namely bank credit channels that are more concerned with the behavior of banks that are more selective in credit selection because of asymmetric information.This study aims to determine the effect of credit that consists of investment credit, working capital credit and consumption credit to the inflation rate through Gross Domestic Product (GDP) in Indonesia. The overall data used in this study is secondary data from the result of systematic recording in the form of time series from 2007 to 2016 obtained from the Central Bureau of Statistics, Bank Indonesia Report and Indonesian Banking Statistics. Data were analyzed by using multiple regression with Ordinary Least Square (OLS) approach. Based on the results of the research, simultaneous credit has a positive and significant effect on inflation through GDP and partially found that investment credit and working capital credit have positive and significant effect to inflation through GDP, while consumption credit has positive and insignificant effect.

Sign in / Sign up

Export Citation Format

Share Document