scholarly journals Capital socioterritorial e indicadores de desenvolvimento: um estudo comparativo no Brasil

GeoTextos ◽  
2017 ◽  
Vol 13 (1) ◽  
Author(s):  
Sylvio Bandeira de Mello e Silva ◽  
Barbara-Christine Nentwig Silva ◽  
Maina Pirajá Silva
Keyword(s):  
Gdp Per Capita ◽  
Capital Social ◽  
Socioeconomic Indicators ◽  
Non Profit ◽  
Metropolitan Regions ◽  
Development Indicators ◽  
Life Expectancy At Birth ◽  
The Social ◽  
Per Capita ◽  
Upper Level

Este trabalho analisa, com base em dados de 2010, a organização social no Brasil, medida pela distribuição das Fundações Privadas e Associações sem Fins Lucrativos (FASFIL), comparando-as com os principais indicadores socioeconômicos. Para tanto, é adotado o conceito, apoiado na noção de capital social (PUTNAM, 1996), de capital socioterritorial, que valoriza o enredamento territorial, os laços de coesão e de cooperação e o enraizamento territorial. Inicialmente, é feita uma análise da relação Pessoas por FASFIL com o PIB per capita para as Grandes Regiões e para as Unidades da Federação. Os resultados confirmam os desequilíbrios regionais e os desequilíbrios interestaduais, isto é, onde a relação Pessoas/ FASFIL é mais favorável, a renda per capita é maior. Em seguida, a análise é feita para as principais regiões metropolitanas e para as metrópoles, envolvendo, além do PIB per capita, sete indicadores socioeconômicos (IDH, Índice de Gini, Esperança de vida ao nascer, Mortalidade infantil, Pessoas com nível superior completo, Porcentagem de vulneráveis à pobreza e Formalização dos ocupados). Os resultados são mais expressivos do que na escala das Unidades da Federação, especialmente no nível das metrópoles, ou seja, expressam mais destacadamente a relação entre FASFIL e capital socioterritorial. Abstract SOCIO-TERRITORIAL CAPITAL AND DEVELOPMENT INDICATORS: A COMPARATIVE STUDY IN BRAZIL This paper analyzes, based on data from 2010, the social organization in Brazil, measured by the distribution of Private Foundations and Non-Profit Associations (FASFIL), comparing them with the main socioeconomic indicators. The concept of socio-territorial capital is adopted, based on the notion of social capital (PUTNAM, 1996). This concept values the territorial networking, the bonds of cohesion and cooperation and the territorial rooting, that is, the interaction in different sectors and scales. An analysis is made for the relation between by FASFIL and GDP per capita for the Major Regions and for the Federation Units. The results confirm regional imbalances and interstate imbalances, that is, where there is more FASFIL income is higher. The analysis is also done for the main metropolitan regions and for the metropolises, now involving, in addition to GDP per capita, seven socioeconomic indicators (HDI, Gini index, Life expectancy at birth, Infant mortality, Persons with complete upper level, Percentage of vulnerable to poverty and Formalization of the employed). The results are more expressive than in the scale of the Federation Units, especially at the level of the metropolises, that is, they express more prominently the relation between FASFIL and socio territorial capital.

scholarly journals Analysis of the Sustainable Development Indicators in the OECD Countries

2018 ◽  
Vol 10 (12) ◽  
pp. 4554 ◽  
Author(s):  
Silvia Megyesiova ◽  
Vanda Lieskovska
Keyword(s):  
Sustainable Development ◽  
Principal Component ◽  
Oecd Countries ◽  
Social Needs ◽  
Gdp Per Capita ◽  
Noncommunicable Diseases ◽  
The Sustainable Development ◽  
Development Indicators ◽  
Life Expectancy At Birth ◽  
Per Capita

Sustainable development is a key task for governments that should end poverty, ensure prosperity, create better conditions for health, education or social needs. The set of indicators to be monitored for evaluation of successes or failures of the sustainable development varies by intergovernmental organizations like OECD or EU. To discover the status and dynamics of variables which are part of the sustainable development goals of the OECD countries is the main aim of the presented analysis. To measure the convergence of socio-economic indicators the coefficient of variation was used. The Pearson’s correlations coefficient and regression analysis were applied to detect the linear relationship between a pair of variables. The OECD countries were compared not only by using univariate statistical methods but also by applying a multivariate approach. The cluster analysis and principal component analysis were used for a set of indicators to monitor the countries from a wider perspective. The analyzed indicators GDP per capita or real change in GDP per capita belong to variables of economic activity. Variables of life expectancy at birth, standardized death rates for noncommunicable diseases belong to indicators of health. Altogether fifteen selected indicators were used for a multivariate analysis of OECD countries in two periods of time.

scholarly journals The Causality Relationship between Technological Development Indicators and Economic Growth: The Case of Turkey

2017 ◽  
Author(s):  
Neşe Algan ◽  
Müge Manga ◽  
Muammer Tekeoğlu
Keyword(s):  
Economic Growth ◽  
Technological Development ◽  
Granger Causality Test ◽  
Gdp Per Capita ◽  
High Tech ◽  
Causality Test ◽  
Development Indicators ◽  
Causality Relationship ◽  
Patent Applications ◽  
Per Capita

The improvements in technological development indicators play a driving role in the process of economic growth and industrialization. Especially, technological developments are vital for developing countries. This study investigates the relationship between the share of R & D expenditure in GDP, the number of patent applications and GDP per capita utilizing Granger causality test for the period of 1996 - 2015. According to Granger Causality test analysis results, it is concluded that short-term one-way causality from high-tech product exports and R & D spending to GDP per capita, and one-way causality relationship from GDP per capita to patent application numbers. In addition, long-term R & D expenditures and patent applications have resulted in a positive GDP per capita, while high-tech exports, contrary to anticipation, negatively affected.

scholarly journals Are Israelis becoming healthier? Trends in self-rated health, 2002–2018

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Anat Ziv ◽  
J. Jona Schellekens
Keyword(s):  
Regression Models ◽  
Strongly Correlated ◽  
Cross Sectional ◽  
Social Survey ◽  
Academic Degree ◽  
Self Rated Health ◽  
Life Expectancy At Birth ◽  
The Social ◽  
Out Of Pocket Payments ◽  
Per Capita

Abstract Background Life expectancy at birth in Israel is steadily increasing. This raises the question whether Israelis are becoming healthier. The purpose of this study is to estimate trends in morbidity and to try to explain what causes morbidity levels to change. Methods We used 17 years of repeated cross-sectional data from the Social Survey to estimate trends in self-rated health. We used regression models to explain the trends in self-rated health that were observed from 2002 to 2018. Results Four major findings emerged. First, morbidity as measured by self-rated health has declined. Second, gains in educational attainment do not explain the decline in morbidity. Third, the rise in national expenditure on health per capita is strongly correlated with the decline in morbidity. And fourth, the effect of the national expenditure on health per capita appears to be stronger among women and among those without an academic degree. Conclusions Self-rated health has improved. However, it has not improved to the same extent for all Israelis. The results of this study show that the health of women has improved more than that of men and that the health of non-academics has improved more than that of academics. The latter suggests that the progressive effect of public financing has offset the regressive effect of out-of-pocket payments on self-rated health.

scholarly journals The Need for the Establishment of Biomedical Engineering (BME) as an Academic and Professional Discipline in the Philippines — A Quantitative Argument

2020 ◽  
Author(s):  
Jamie Ledesma Fermin ◽  
Myles Joshua Tan
Keyword(s):  
Life Expectancy ◽  
Pearson Correlation ◽  
Maternal Mortality Ratio ◽  
The Philippines ◽  
Gdp Per Capita ◽  
Professional Discipline ◽  
Brunei Darussalam ◽  
Life Expectancy At Birth ◽  
Per Capita ◽  
Publication Volume

This article quantitatively presents the relationship that exists between research endeavors in BME, which was measured in terms of the volume of publications produced in the field of BME from 1990 to 2019 in the 10 member states of the ASEAN, and 12 indicators of the overall and physical health of populations (†) — GDP per capita, HDI value, HAQ index, life expectancy at birth, healthy life expectancy at birth, maternal mortality ratio, neonatal mortality rate, probability of dying from noncommunicable diseases, and incidences of death due to stroke, diabetes mellitus, congenital birth defects, and leukemia. The objective was to show that ASEAN states that recognize BME as an academic and professional discipline have been successful in producing research in the field, and thus, have advanced the provision of high-quality healthcare for their people. The Pearson correlation coefficients (PCCs) between BME publication volume and the 12 healthcare indicators were calculated and were reported in the order previously listed (see †) to be +0.7555, +0.7398, +0.7297, +0.7563, +0.7879, -0.6286, -0.6810, -0.7245, -0.6683, -0.6893, -0.7645, and -0.6827. The PCCs between BME publication volume and the natural logarithm of the same indicators in the same order were calculated and were reported to be +0.7338, +0.7051, +0.7184, +0.7452, +0.7754, -0.7985, -0.7286, -0.7905, -0.7872, -0.9208, -0.9149, and -0.7038. It was also discovered that data from Brunei Darussalam behaved anomalously, as they did not conform with the observed trends. Hence, it was decided that data from Brunei would be removed to check for any improvements in PCC. Indeed, PCCs for all indicators improved. PCCs between BME publication volume and the 12 indicators excluding data from Brunei were reported in the same order as follows: +0.9279, +0.9072, +0.8659, +0.8598, +0.8800, -0.7313, -0.7783, -0.7919, -0.7726, -0.7073, -0.8133, and -0.6907. PCCs between BME publication volume and the natural logarithms of the 12 indicators excluding data from Brunei were reported in the same order as follows: +0.9042, +0.8707, +0.9599, +0.8519, +0.8726, -0.8822, -0.9318, -0.8430, 0.8510, -0.9234, -0.9390, and -0.7069, respectively. These PCCs, many of them with magnitudes above 0.9000, signify especially strong relationships between BME research yield and healthcare quality in a country.Moreover, to best visualize the relationships quantified above, BME publication volume was plotted against GDP per capita, while the remaining 11 indicators were each plotted against BME publication volume. Linear (Lin), logarithmic (Log), and exponential (Exp) regression curves were then overlaid on the datapoints. Coefficients of determination (R2) were calculated to measure the aptness of the fits. R2 values were reported in the same order as above to be: 0.5161 (Log), 0.5708 (Lin), 0.5473 (Lin), 0.5720 (Lin), 0.6207 (Lin), 0.7457 (Log), 0.7517 (Exp), 0.6249 (Exp), 0.6197 (Exp), 0.8469 (Exp), 0.8095 (Log), and 0.4660 (Lin) [incl. Brunei]; 0.9214 (Log), 0.8612 (Lin), 0.8230 (Lin), 0.7393 (Lin), 0.7745 (Lin), 0.9433 (Log), 0.8682 (Exp), 0.7106 (Exp), 0.7242 (Exp), 0.8527 (Exp), 0.8960 (Log), and 0.4771 (Lin) [excl. Brunei].For this reason, we believe that it is certainly time for the Philippines to adopt BME as an academic and professional discipline in its own right, so that it may one day enjoy the benefits brought about by advancements in the provision of healthcare that are experienced by its ASEAN neighbors that have already gone ahead with movements to cultivate the highly essential discipline.

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