International Comparisons: Selected Mental Health Data

1992 ◽  
Vol 71 (3) ◽  
pp. 723-726
Author(s):  
Y. G. Pillay
Keyword(s):  
Gross Domestic Product ◽  
International Comparisons ◽  
Psychiatric Hospitals ◽  
Health Data ◽  
Psychiatric Services ◽  
Domestic Product ◽  
Data Set ◽  
Per Capita ◽  
Relationship Of ◽  
The Relationship

The data set from the Organization for Economic Cooperation and Development (OECD) was explored to investigate the relationship of gross domestic product (which provides an indication of the wealth of a country) and the provision of psychiatric services (specifically inpatient psychiatric services) in selected OECD countries. Gross domestic product per capita correlated .84 with expenditure per capita on psychiatric hospitals but r was zero between number of beds per 1000 population and length of stay.

Abstract P360: Hypertension Treatment Rates And Health Worker Density: An Analysis Of Worldwide Data

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Rajesh Vedanthan ◽  
Mondira Ray ◽  
Valentin Fuster ◽  
Ellen Magenheim
Keyword(s):  
Gross Domestic Product ◽  
Health Worker ◽  
World Bank ◽  
Domestic Product ◽  
Hypertension Treatment ◽  
Treatment Rate ◽  
Capita Gross Domestic Product ◽  
The World ◽  
Per Capita ◽  
The Relationship

Introduction: Hypertension is the leading global risk for mortality and its prevalence is increasing in many low- and middle-income countries. Hypertension treatment rates are low worldwide, potentially in part due to insufficient human resources. However, the relationship between health worker density and hypertension treatment rates is unknown. Objective: To conduct an econometric analysis of the relationship between health worker density and hypertension treatment rates worldwide. Methods: Hypertension treatment rates were collected from published reports between 1980 and 2010. Data on health worker (physician and nurse) density were obtained from the World Health Organization (WHO). Data for potential confounding variables--per capita gross domestic product, hospital bed density, burden of infectious diseases, land area and urban population--were obtained from WHO and World Bank databases. Potential interaction by per capita gross domestic product was evaluated. Multivariable logistic-logarithmic regression analysis was performed using Stata. Results: Full data were available from 146 countries spanning all World Bank income classification categories. Health worker density was significantly associated with hypertension treatment rate in the unadjusted model (beta = 0.23; p < 0.005). In the fully adjusted model, the association remained positive but was not statistically significant (beta = 0.30; p = 0.078) (Figure). Hypertension treatment rates were more strongly related to physician than nurse density (beta = 0.21 vs 0.08; p = 0.10 vs 0.49). Conclusion: Hypertension treatment rates across the world appear to be related to health worker density, although the relationship does not achieve strict statistical significance. Our results suggest that a 10% increase in health worker density is associated with a 2-3% increase in hypertension treatment rate. Given the global burden of hypertension and other chronic diseases, WHO guidelines for health workforce staffing may need to be reconsidered.

scholarly journals An analysis of the relationship of inflation and unemployment to the gross domestic product (gdp) in zimbabwe

2014 ◽  
Vol 1 (3) ◽  
pp. 156-162
Author(s):  
Tendai Makoni
Keyword(s):  
Time Series ◽  
Gross Domestic Product ◽  
Cointegration Test ◽  
Domestic Product ◽  
Long Run ◽  
Causality Tests ◽  
Granger Causality Tests ◽  
Relationship Of ◽  
The Relationship ◽  
Yearly Data

The time series yearly data for Gross Domestic Product (GDP), inflation and unemployment from 1980 to 2012 was used in the study. First difference of the logged data became stationary as suggested by the time series plots. Johansen Maximum Likelihood Cointegration test indicated a long-run relationship among the variables. Granger Causality tests suggested unidirectional causality between inflation and GDP, implying that GDP is Granger caused by inflation in Zimbabwe. Another unidirectional causality was noted between unemployment and inflation. The causality between unemployment and inflation imply that unemployment do affect GDP indirectly since unemployment influences inflation which in turn positively affect GDP.

scholarly journals Economic Crisis in Europe: Panel Analysis of Inflation, Unemployment and Gross Domestic Product Growth Rates

2017 ◽  
Vol 9 (10) ◽  
pp. 145 ◽  
Author(s):  
Bibi Rouksar-Dussoyea ◽  
Ho Ming-Kang ◽  
Raja Rajeswari ◽  
Benjamin Chan Yin-Fah
Keyword(s):  
Gross Domestic Product ◽  
Growth Rates ◽  
Fixed Effects ◽  
Domestic Product ◽  
Panel Analysis ◽  
Causality Test ◽  
Data Set ◽  
Gross Domestic Product Growth ◽  
European Crisis ◽  
The Relationship

This panel analysis study is conducted to examine the relationship between inflation rates (CPI) and unemployment rates (HUR) with the Gross Domestic Product growth rates (GDP), before and after the 2008 European crisis. Quarterly data for 18 consecutive years and six sample countries from Europe (Austria, France, Germany, Greece, Hungary and United Kingdom) have been considered in the panel. In order to get a more profound understanding of the impacts of the European crisis on the relationship between the variables, the panel data set has been classified into 3 separate panels, such that Panel 1 (1999Q1-2007Q4) represents before-crisis panel, Panel 2 (2008Q1-2016Q4) represents the during/after crisis panel and lastly, Panel 3 (1999Q1-2016Q4) represents the long-run panel. Panel 1 is subject to the Fixed Effects with LSDV model, whereby four out of the six countries are significant, and CPI and HUR are insignificant predictors of the GDP. Both Panel 2 and Panel 3 are subject to the Two-way Random Effects model, whereby both CPI and HUR have negative significant effect on GDP. Granger Causality test has also been carried out to determine whether causality is present among variables, based on each panel.

War Making and the Building of State Capacity: Expanding the Bivariate Relationship

2017 ◽  
Author(s):  
Karen A. Rasler ◽  
William R. Thompson
Keyword(s):  
Gross Domestic Product ◽  
Empirical Analysis ◽  
State Capacity ◽  
Point Of View ◽  
Regime Type ◽  
Domestic Product ◽  
Data Set ◽  
Representative Data ◽  
The Relationship ◽  
Do So

A central cleavage in the war making-state making literature is between advocates of the notion that warfare has been the principal path to developing stronger states and critics who argue that the relationship no longer holds, especially in non-European contexts. It is suggested that the problem is simply one of theoretical specification. Increasingly intensive warfare, as manifested in European combat, made states stronger. Less intensive warfare, particularly common after 1945, is less likely to do so. Empirical analysis of a more representative data set on state capacity (revenues as a proportion of gross domestic product [GDP]), focusing on cases since 1870, strongly supports this point of view. The intensiveness of war is not the only factor at work—regime type and win/loss outcomes matter as well—but the relationship does not appear to be constrained by the level of development.

scholarly journals The Asymmetrical Effects of Economic Development on Consumption-based and Production-based Carbon Dioxide Emissions, 1990 to 2014

2018 ◽  
Vol 4 ◽  
pp. 237802311877362 ◽  
Author(s):  
Xiaorui Huang ◽  
Andrew K. Jorgenson
Keyword(s):  
Carbon Dioxide ◽  
Economic Development ◽  
Gross Domestic Product ◽  
Carbon Dioxide Emissions ◽  
Domestic Product ◽  
Anthropogenic Emissions ◽  
National Data ◽  
Per Capita ◽  
The Relationship ◽  
Cross National

The authors examine the potentially asymmetrical relationship between economic development and consumption-based and production-based CO2 emissions. They decompose economic development into economic expansions and contractions, measured separately as increases and decreases in gross domestic product per capita, and examine their unique effects on emissions. Analyzing cross-national data from 1990 to 2014, the authors find no statistical evidence of asymmetry for the overall sample. However, for a sample restricted to nations with populations larger than 10 million, the authors observe a contraction-leaning asymmetry whereby the effects of economic contraction on both emissions outcomes are larger in magnitude than the effects of economic expansion. This difference in magnitude is more pronounced for consumption-based emissions than for production-based emissions. The authors provide tentative explanations for the variations in results across the different samples and emissions measures and underscore the need for more nuanced research and deeper theorization on potential asymmetry in the relationship between economic development and anthropogenic emissions.

Economic growth and the development of innovations in modern Russia

10.12737/437 ◽  
2013 ◽  
Vol 1 (1) ◽  
pp. 44-50
Author(s):  
Шишкин ◽  
Andrey Shishkin
Keyword(s):  
Economic Growth ◽  
Gross Domestic Product ◽  
Labour Force ◽  
Social Indicators ◽  
The State ◽  
Domestic Product ◽  
Innovation Development ◽  
Innovation Potential ◽  
Relationship Of ◽  
The Relationship

Analysis of terms associated with economic growth. In particular conducted a more detailed analysis of the gross domestic product. Describing the relationship of the gross domestic product, and social indicators connected with the movement of the labour force. The analysis of statistical indicators characterizing the innovation potential of the state. Touched upon the issues related to the preparation of personnel in the field of development of innovative processes. According to the survey of statistical data formed findings on the interaction of indicators characterizing the economic growth and indicators characterizing the innovative development of the state. Touched upon the issues of interaction of state corporations and the growth of the innovation development of the state, as well as the historical aspects of formation of state corporations. Analyzed the dependence between the development of innovation processes and the formation of human capital as a major factor of development of innovations. The conclusions which allow to compare the trends in the development of economic growth with the trends in the development of innovative processes.

Индустријализација и раст бруто друштвеног производа // The Industrialization and Growth of Gross Domestic Product

2018 ◽  
Vol 13 (22) ◽  
pp. 151
Author(s):  
Брано Маркић ◽  
Сања Бијакшић ◽  
Арнела Беванда
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Gross Domestic Product ◽  
Industrial Production ◽  
Growth And Development ◽  
Manufacturing Sector ◽  
Domestic Product ◽  
Data Set ◽  
The Impact ◽  
The Relationship

Резиме: Рад је истраживање и емпиријска верификација закона Ницхолас Калдора о утицају индустријске производње на раст бруто друштвеног производа. Калдор је формулисао принципе економског раста у облику три закона који настоје утврдити кључне узроке економског раста. Први његов закон тврди да је стопа раста привреде позитивно корелирана са стопом раста њезина производног сектора. Индустрија као најважнија снага развоја привреде се поодавно анализира у литератури о привредном развоју: Hirschman (1961), Rosenstein-Rodan (1943), Th irnjall (2013), Cornnjall (1977). Циљ рада је емпиријски провјерити Калдоров приступ расту и развоју у Федерацији Босне и Херцеговине. Стога је обликован посебан скуп података кога чине дводимензионалне табеле и временске серије. Регресијском анализом је квантификована повезаност између стопа раста бруто друштвеног производа и стопе раста индустријске производње.Summary: The paper the industrialization and the growth of gross domestic product is a research and empirical verification of Nicholas Kaldor laws on the impact of industrial production to GDP growth. Kaldor has formulated the principles of economic growth in the form of three laws that tend to identify key causes of economic growth. His first law asserts that the rate of economic growth is positively correlated with the rate of growth of its manufacturing sector. Industry as the most important force of economic development is widely analyzed in the literature on economic development (Hirschman (1961), Rosenstein-Rodan (1943), Thirwall (2013), Cornwall (1977)). The aim is to empirically test the Kaldor’s approach to growth and development in the Federation of Bosnia and Herzegovina. It is therefore designed a special data set consisting of two-dimensional tables and time series. Using regression analysis was quantified the relationship between the growth rate of gross domestic product and the growth of industrial production. 

scholarly journals Continuous national gross domestic product (GDP) time series for 195 countries: past observations (1850–2005) harmonized with future projections according to the Shared Socio-economic Pathways (2006–2100)

2018 ◽  
Vol 10 (2) ◽  
pp. 847-856 ◽  
Author(s):  
Tobias Geiger
Keyword(s):  
Time Series ◽  
Economic Development ◽  
Gross Domestic Product ◽  
Climate Impact ◽  
Domestic Product ◽  
Data Set ◽  
The Past ◽  
Online Archive ◽  
Per Capita ◽  
Climate Impact Research

Abstract. Gross domestic product (GDP) represents a widely used metric to compare economic development across time and space. GDP estimates have been routinely assembled only since the beginning of the second half of the 20th century, making comparisons with prior periods cumbersome or even impossible. In recent years various efforts have been put forward to re-estimate national GDP for specific years in the past centuries and even millennia, providing new insights into past economic development on a snapshot basis. In order to make this wealth of data utilizable across research disciplines, we here present a first continuous and consistent data set of GDP time series for 195 countries from 1850 to 2009, based mainly on data from the Maddison Project and other population and GDP sources. The GDP data are consistent with Penn World Tables v8.1 and future GDP projections from the Shared Socio-economic Pathways (SSPs), and are freely available at http://doi.org/10.5880/pik.2018.010 (Geiger and Frieler, 2018). To ease usability, we additionally provide GDP per capita data and further supplementary and data description files in the online archive. We utilize various methods to handle missing data and discuss the advantages and limitations of our methodology. Despite known shortcomings this data set provides valuable input, e.g., for climate impact research, in order to consistently analyze economic impacts from pre-industrial times to the future.

scholarly journals Using big data to map the relationship between time perspectives and economic outputs

2019 ◽  
Vol 42 ◽  
Author(s):  
Christopher Y. Olivola ◽  
Helen Susannah Moat ◽  
Tobias Preis
Keyword(s):  
Big Data ◽  
Gross Domestic Product ◽  
Search Engine ◽  
Population Level ◽  
Domestic Product ◽  
Complex Relationship ◽  
Capita Gross Domestic Product ◽  
Time Perspectives ◽  
Per Capita ◽  
The Relationship

Abstract Recent studies have shown that population-level time perspectives can be approximated using “big data” on search engine queries, and that these indices, in turn, predict the per-capita Gross Domestic Product of countries. Although these findings seem to support Baumard's suggestion that affluence makes people more future-oriented, they also reveal a more complex relationship between time perspectives and economic outputs.

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