scholarly journals Impact of Socio-Economic Variables on Life Expectancy: An Empirical Study for 138 Countries

2021 ◽  
Vol 11 (1) ◽  
pp. 330
Author(s):  
Mahmoud MOURAD
Keyword(s):  
Life Expectancy ◽  
Negative Impact ◽  
Positive Impact ◽  
Multiple Linear Regression Model ◽  
Generalized Least Squares ◽  
Gdp Per Capita ◽  
Cross Sectional ◽  
Life Expectancy At Birth ◽  
Per Capita ◽  
The Impact

This study has examined the impact of mortality rate of children under five years of age (MORRATE), physicians (PMP), health expenditure per person (HEPP), access to electricity (AELEC) and GDP per capita on life expectancy at birth (LEB) for one hundred and thirty-eight countries taken as cross-sectional data. The MORRATE ranged from 2.4 to 160.2 (per 1,000 people), thus reflecting an inequality in LEB which fluctuates between 44.8 and 82.8. The PMP varies from 0.01 to 7.74, the HEPP between 16.92 and 8264 USD, the AELEC between 4.1% to 100% and finally the GDP per capita oscillates between 326.6 and 102,863 USD. The multiple linear regression model is estimated using the OLS method and several tests for heteroscedasticity are performed. The null hypothesis of homoscedasticity is rejected and therefore the Weighted Generalized Least Squares) WGLS) method is used to produce unbiased, efficient and consistent estimators. The results showed a negative impact of MORRATE on LEB. A single increase in the number of deceased children leads to a decrease of about 2.12 months in LEB. The HEPP has a positive impact on LEB, so if HEPP rises to 100 USD then the LEB rises by 33 days approximately. When introducing four binary variables characterizing the five continents, and taking Oceania as a reference, the life expectancy in an African country will be about 2.4 years less than the LEB reference. For the other continents, it seems that the values of LEB are very close.

scholarly journals Health Expenditure and Its Human Capital Determinants in Iran

2020 ◽  
Author(s):  
Ahmad MOAYEDFARD ◽  
Salar GHORBANI ◽  
Sara EMAMGHOLIPOUR SEFIDDASHTI
Keyword(s):  
Human Capital ◽  
Life Expectancy ◽  
Health Expenditure ◽  
Positive Impact ◽  
Least Square ◽  
Gdp Per Capita ◽  
Literacy Rate ◽  
Life Expectancy At Birth ◽  
Per Capita ◽  
Watson Statistic

Background: Human capital is an effective variable on the health condition of a society and its changing changes health expenditure as the proxy of health. This study aimed to investigate the relationship between human capital determinants and health expenditure. Methods: An empirical model was used with 7 variables included gender parity (GPI) index, literacy rate, life expectancy at birth, GDP per capita, physician per capita, and hospital’s bed as the independent variable and health expenditure as depended variable. After unit root test of data by using Zivot-Andrews method, the model was estimated by ordinary least square (OLS) method. Result: GPI had the negative and significant impact on health expenditure. Literacy had the positive and significant impact on depended variable. In addition, GDP per capita and life expectancy had positive and significant on health expenditure. Hospital bed and physician per capita did not have the significant relationship with health expenditure.  The value of R-squared and Durbin-Watson statistic were 0.99 and 1.95 respectively, which showed good model fit. Conclusion: literacy rate and GPI index as the proxy of human capital had the different impact on health expenditure. The first had positive and the latter had negative. GDP per capita had the positive impact that showed health was a normal good.

The impact of a country’s level of development on the nexus between bank lending structure and economic growth

2021 ◽  
pp. 51-70
Author(s):  
I. N. Gurov ◽  
E. Y. Kulikova
Keyword(s):  
Economic Growth ◽  
Low Income ◽  
Banking Sector ◽  
Negative Impact ◽  
Positive Impact ◽  
Bank Lending ◽  
Low Income Countries ◽  
Gdp Per Capita ◽  
Per Capita ◽  
The Impact

The purpose of this paper is to determine how the impact of the bank lending structure on economic growth differs depending on the level of a country’s development. The article provides suggestions on how much one can rely on the leading growth of corporate and consumer bank lending in order to promote economic growth. The study is based on the panel data for 211 countries for the period 1990—2019 using methods of qualitative and quantitative analysis. The authors have identified three groups of the countries where the impact of the bank lending structure on economic growth is different. In the least developed and low-income countries, the leading growth of both consumer and corporate lending has a positive impact on economic growth. As GDP per capita reaches 4,700—7,000 constant 2010 U.S. dollars, the outstripping growth of consumer lending begins to negatively affect economic growth, while corporate lending continues to have a positive impact. As GDP per capita continues to increase, corporate lending also begins to negatively affect economic growth. The GDP per capita threshold level, after which the negative impact of corporate lending begins, ranges from 6,000 to 42,000 constant 2010 U.S. dollars, some estimates allow us to specify these limits from 13,000 to 22,000 constant 2010 U.S. dollars. Such broad boundaries are determined by the fact that the role of the banking sector in investments financing may differ because of the financial sector model and the national economy structure. However, our results show that in the most developed and high-income countries, faster growth in corporate lending will not contribute to economic growth. The study also finds that the share of mortgage loans in GDP has a positive but insignificant effect on economic growth in all groups of the countries.

scholarly journals Impacts from Economic Development and Environmental Factors on Life Expectancy: A Comparative Study Based on Data from Both Developed and Developing Countries from 2004 to 2016

2021 ◽  
Vol 18 (16) ◽  
pp. 8559
Author(s):  
Zhiheng Chen ◽  
Yuting Ma ◽  
Junyi Hua ◽  
Yuanhong Wang ◽  
Hongpeng Guo
Keyword(s):  
Developing Countries ◽  
Economic Development ◽  
Gini Coefficient ◽  
Negative Impact ◽  
Positive Impact ◽  
Developed Countries ◽  
Environmental Indicators ◽  
Gdp Per Capita ◽  
Per Capita ◽  
Urbanization Rate

Both economic development level and environmental factors have significant impacts on life expectancy at birth (LE). This paper takes LE as the research object and selects nine economic and environmental indicators with various impacts on LE. Based on a dataset of economic and environmental indicators of 20 countries from 2004 to 2016, our research uses the Pearson Correlation Coefficient to evaluate the correlation coefficients between the indicators, and we use multiple regression models to measure the impact of each indicator on LE. Based on the results from models and calculations, this study conducts a comparative analysis of the influencing mechanisms of different indicators on LE in both developed and developing countries, with conclusions as follow: (1) GDP per capita and the percentage of forest area to land area have a positive impact on LE in developed countries; however, they have a negative impact on LE in developing countries. Total public expenditure on education as a percentage of GDP and fertilizer consumption have a negative impact on LE in developed countries; however, they have a positive impact on LE in developing countries. Gini coefficient and average annual exposure to PM2.5 have no significant effect on LE in developed countries; however, they have a negative impact on LE in developing countries. Current healthcare expenditures per capita have a negative impact on LE in developed countries, and there is no significant impact on LE in developing countries. (2) The urbanization rate has a significant positive impact on LE in both developed countries and developing countries. Carbon dioxide emissions have a negative impact on LE in both developed and developing countries. (3) In developed countries, GDP per capita has the greatest positive impact on LE, while fertilizer consumption has the greatest negative impact on LE. In developing countries, the urbanization rate has the greatest positive impact on LE, while the Gini coefficient has the greatest negative impact on LE. To improve and prolong LE, it is suggested that countries should prioritize increasing GDP per capita and urbanization level. At the same time, countries should also work on reducing the Gini coefficient and formulating appropriate healthcare and education policies. On the other hand, countries should balance between economic development and environmental protection, putting the emphasis more on environmental protection, reducing environmental pollution, and improving the environment’s ability of self-purification.

scholarly journals Impacts of Capital Structure and Dividend Policy on the Financial Performance of Listed Companies on Vietnamese Stocks Market

2021 ◽  
Author(s):  
Loan T. Vu ◽  
Anh T. H. Vu ◽  
Thao T. P. Nguyen
Keyword(s):  
Dividend Policy ◽  
Negative Impact ◽  
Positive Impact ◽  
Stock Exchange ◽  
Generalized Least Squares ◽  
Listed Companies ◽  
Dividend Yield ◽  
And Performance ◽  
The Impact ◽  
The Relationship

This study is taken to describe the relationship between the levels of debt, dividend policy and the performance of firms listed in Vietnamese stock market. The dividend policy is proxied by the dividend yield while firm’s performance is measured by ROE, ROA, and P/E. The total number of observations is 552, collecting from 92 listed companies on Hochiminh Stock Exchange during 2012 and 2019. The analysis results from generalized least squares (GLS) models report that the choice of firm’s performance proxy affects the relationship between firm’s performance and leverage as well as dividend policy. While leverage has positive impact on ROE and ROA, it has negative impact on P/E. In contrast, dividend yield ratio is negatively correlated with ROA and P/E but positively correlated with ROE. However, the impact of debt levels on firm’s performance is independent with the choice of leverage proxy. The findings of this research are expected to provide better understanding about the connection between debt, dividend and performance of the firm that can support the managers to make relevant decisions.

scholarly journals Dampak Kebijakan Tarif dan Non-tarif Negara-Negara Importir atas Ekspor Tuna Olahan Indonesia

2021 ◽  
Vol 26 (3) ◽  
pp. 468-478
Author(s):  
Maharani Tristi ◽  
Harianto Harianto ◽  
Amzul Rifin
Keyword(s):  
Exchange Rates ◽  
Export Performance ◽  
Gdp Per Capita ◽  
Cross Sectional ◽  
Export Prices ◽  
Economic Distance ◽  
Negative Effect ◽  
Per Capita ◽  
Actual Exchange ◽  
The Impact

This study aims to analyze the impact of the tariff and non-tariff policies implementation of the importing countries on the export performance of Indonesian processed tuna. A cross-sectional gravity model analysis was conducted to find out the impact of these policies on exports. The variables used include GDP per capita of the importing countries, population, economic distance, export prices, actual exchange rates, tariff policies, and non-tariff policies in the form of sanitary and phytosanitary (SPS) and technical barriers to trade (TBT). The estimation shows that the variables of GDP per capita of the importing countries, population, exchange rates, export prices, and SPS give a positive and significant effect on the trade of Indonesian processed tuna commodities. On the other hand, economic distance and TBT policy give a negative and significant impact on the volume of this particular commodity. Meanwhile, the tariff policy implementation also give a negative effect on the export volume, but it is not significant.   Keywords: cross sectional gravity, export performance, non-tariffs, tariffs

scholarly journals The Determinants of Non-Performing Loans in the Polish Banking Sector – the Household Loans Portfolio

2022 ◽  
Vol 19 ◽  
pp. 247-258
Author(s):  
Sławomir I. Bukowski ◽  
Aneta M. Kosztowniak
Keyword(s):  
Response Function ◽  
Banking Sector ◽  
Negative Impact ◽  
Positive Impact ◽  
Gdp Per Capita ◽  
Forecast Period ◽  
Lending Rates ◽  
Per Capita ◽  
Main Determinants

The study aims to identify changes in non-performing household loans (NPLs) and their main determinants in the Polish banking sector for the period 2009-2021. Specifically, we look at the main determinants of creditworthiness of households which determine the possibility of repayment of principal installments and interest within the prescribed period. The results of the VECM model confirm the considerable significance of GDP per capita, gross salaries and lending rates to NPL loans of households. The results of the response function show a positive impact of GDP per capita and lending rates on NPLs and a negative impact of real salaries on NPLs. The decomposition of variance in the forecast period confirms an increased level of explanation of NPL by GDP per capita, gross salaries, and the lending rates.

Factors affecting the international competitiveness of polish economy system in 2004-2019

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Konrad Rojek
Keyword(s):  
Econometric Model ◽  
Negative Impact ◽  
Economic Effect ◽  
International Competitiveness ◽  
Gdp Per Capita ◽  
Content Type ◽  
Per Capita ◽  
The Government ◽  
Polish Economy ◽  
The Impact

Purpose This study aims to present the issue of the international systemic competitiveness of the Polish economy. The essence of this concept was shown, as well as the measures and methods of analysis used. The aim of the research was to identify the factors that had the greatest impact on the formation of the international systemic competitiveness of the Polish economy. Design/methodology/approach An econometric model was constructed to explain the shaping of the value of the dependent variable (gross domestic product [GDP] per capita) in the years 2004–2019. For this purpose, explanatory variables were used selected from among the measures of the international systemic competitiveness of the Polish economy. The developed econometric model was verified to check its practical usefulness. This process was performed using the Gretl program. The research also used the Pentagon Model of Macroeconomic Stabilization, which was used to examine the general economic development of Poland because of which it is possible to conclude about the international systemic competitiveness of the economy. Findings In the analyzed period (2004–2019), the international systemic competitiveness of the Polish economy was to the greatest extent conditioned by such factors as government integrity, tax burdens and investment freedom. It is significant that the integrity of the government had a negative impact on the value of GDP per capita. Practical implications The results of the conducted research may be particularly useful for the institutional sphere. They indicate systemic factors that had the greatest impact on the prosperity of Polish society in the analyzed period. This enables the weakest elements of the policy to be identified and improved. Proper applications and appropriate corrective actions will have a positive economic effect. Originality/value So far, it has not been possible to develop/indicate a uniform and generally accepted measure and method of analyzing international systemic competitiveness. Therefore, all attempts to assess and measure systemic competitiveness have a high research value. The vast majority of studies on the international competitiveness of the economy focus only on assessing its level (growth, decline and comparison with other countries). When building an econometric model (based on the 2004–2019 time series), the author also checks the impact of its individual components, not only its level. On this basis, it can be deduced, which factors influenced the competitiveness in a given period to a greater extent, positively or negatively.

Sign in / Sign up

Export Citation Format

Share Document