Brazil’s Northeast

2018 ◽  
Author(s):  
Alexandre Rands Barros
Keyword(s):  
Human Capital ◽  
Educational Policy ◽  
Productivity Growth ◽  
Social Groups ◽  
National Average ◽  
Agricultural Export ◽  
Per Capita Gdp ◽  
Poor Region ◽  
Per Capita ◽  
Brazilian Northeast

The Brazilian Northeast is a large poor region, which was the first to be colonized in Brazil. The region experienced some dynamism as a result of its early role as a centre of the agricultural export economy. However, historical and political circumstances resulted in a society in which there was a successive failure to build up the level of human capital level in the region. In particular, low access to political power of disadvantaged social groups prevented the implementation of an inclusive educational policy. This generated low per capita GDP and productivity growth, when compared to the national average. The prospects that some convergence with the national average will occur are only partial and restricted.

scholarly journals The Impact of New Technologies and Human Capital on the Contribution of New Ways to the Economy of the Regions of the Northwest Federal District

2017 ◽  
Vol 5 (2) ◽  
pp. 43-45 ◽  
Author(s):  
Басовская ◽  
Elena Basovskaya ◽  
Басовский ◽  
Leonid Basovskiy
Keyword(s):  
Higher Education ◽  
Human Capital ◽  
New Technologies ◽  
Federal District ◽  
Komi Republic ◽  
Per Capita Gdp ◽  
Fixed Assets ◽  
Pskov Region ◽  
Per Capita ◽  
The Impact

Econometric impact assessments of new technologies and human capital on a contribution of new technological ways to per capita GDP in regions of Northwest Federal District of Russia are received. Coefficients of elasticity of a contribution of new ways to per capita GDP on use of the new technologies estimated by armament the work equity new fixed assets and for use of the human capital estimated by a share of busy workers with the higher education are estimated. The use of new technologies is the most effective in St. Petersburg, in the Murmansk, Leningrad regions and in the Komi Republic. Efficiency use of new technologies in the Pskov region is the lowest. The human capital is most effectively in the Komi Republic, the Murmansk and Leningrad regions. Efficiency use of a human capital in the Pskov region is the lowest.

scholarly journals Impact Of Innovative Environment On Economic Growth: An Examination Of State Per Capita GDP And Personal Income

2014 ◽  
Vol 12 (3) ◽  
pp. 257
Author(s):  
Oi Lin Cheung
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Personal Income ◽  
Economic Dynamics ◽  
Per Capita Gdp ◽  
Real Gdp ◽  
Innovative Environment ◽  
Per Capita ◽  
Capita Personal Income

<p>This study investigates how the overall innovative environment will affect the economic growth of a place, in particular, a state. Using the Innovation Index and its component indexes as a measure of the innovative environment prevailing in the states, it is found that the more innovative a state is, the higher its per capita real GDP and per capita personal income are. These relations are statistically significant. The higher per capita personal income is associated with both the availability of human capital for innovative activities and the presence of the economic dynamics that facilitate those activities. At the same time, the higher per capita real GDP has been brought about by the availability of such human capital only.</p>

scholarly journals Human Capital Development and Macroeconomic Performance in Nigeria: An Autoregressive Distributed Lag (ARDL) Approach

ETIKONOMI ◽  
2019 ◽  
Vol 18 (2) ◽  
pp. 185-196
Author(s):  
Olukayode Emmanuel Maku ◽  
Emmanuel Ogbonna Ajike ◽  
Solomon Chimereze Chinedu
Keyword(s):  
Human Capital ◽  
Negative Relationship ◽  
Macroeconomic Performance ◽  
Human Capital Development ◽  
Per Capita Gdp ◽  
Distributed Lag ◽  
Short Run ◽  
Per Capita ◽  
Capital Development ◽  
The Impact

Developed nations continue to invest heavily in the development and training of their human resources. Huge budgetary allocations show it to education and health, yet Nigeria’s human capital development policy has only been effective on paper. This study examined the impact of human capital development on the macroeconomic performance of Nigeria. Using the autoregressive distributed lagged (ARDL) model, this study shows an insignificant negative relationship between human capital development and per capita GDP in the short run. The results also showed that only the tertiary enrolment rate significantly and positively improved per capita GDP within the period under review. The study concluded that the government’s efforts aimed at boosting human capital have been insufficient.JEL Classification: O47, J11, J24

scholarly journals Gender Gaps in Human Capital in Developing Countries: An Empirical Assessment

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Minh Quang Dao
Keyword(s):  
Developing Countries ◽  
Human Capital ◽  
Maternal Mortality ◽  
Female Employment ◽  
Gdp Growth ◽  
Water Services ◽  
Gender Gaps ◽  
Per Capita Gdp ◽  
Ethnic Fractionalization ◽  
Per Capita

This paper examines the impact of various determinants on gender gaps in human capital in developing countries. We find that female primary completion is dependent on per capita GDP growth, female employment in agriculture, in industry, and in services, and the interactions between per capita GDP growth and female employment in industry and in services. We are also able to show that the ratio of girls to boys’ enrollments in primary and secondary schools is a function of the poverty rate, the fraction of the population with access to an improved water source, and maternal mortality. In addition, we observe that girls’ mortality is dependent upon the fraction of the population having access to improved sanitation and water services, and ethnic fractionalization. Finally, we find that maternal mortality is a function of the fraction of the population with access to improved water services, the fraction of births attended by skilled staff, the fraction of women receiving prenatal care, and ethnic fractionalization. These statistical results can assist developing countries identify areas that need to be improved upon in order to reduce gender gaps in human capital—specifically those concerning female mortality and education.

scholarly journals Influence of New Technologies and Human Capital on a Contribution of New Ways to Economy of Regions of Central Federal District

2017 ◽  
Vol 5 (2) ◽  
pp. 39-42 ◽  
Author(s):  
Басовский ◽  
Leonid Basovskiy ◽  
Басовская ◽  
Elena Basovskaya
Keyword(s):  
Higher Education ◽  
Human Capital ◽  
New Technologies ◽  
Federal District ◽  
Per Capita Gdp ◽  
Central Federal District ◽  
Fixed Assets ◽  
Per Capita ◽  
A Share

Econometric impact assessments of new technologies and human capital on a contribution of new technological ways GDP in regions of Central Federal District of Russia are received. Coefficients of elasticity of a contribution of new ways GDP on use of the new technologies estimated by armament of work by new fixed assets and for use of the human capital estimated by a share of busy workers with the higher education are estimated. Use of new technologies is more effective in the Belgorod, Kursk, Vladimir and Lipetsk regions. Efficiency use of new technologies in the Kostroma, Ivanovo, Tver, Tambov regions is the lowest. The human capital is effectively in the Belgorod and Lipetsk regions, in Moscow. Efficiency use of a human capital in the Oryol, Ivanovo, Tambov, Bryansk and Kostroma regions is the lowest. In case of big sizes of coefficients of elasticity of a contribution of new ways to per capita GDP on use of the new technologies estimated by armament of work by new fixed assets it is reasonable to increase, first, investments into fixed assets of the region. In case of big sizes of coefficients of elasticity of a contribution of new ways to per capita GDP on use of the human capital estimated by a share of busy workers with the higher education it is reasonable to increase, first of all, a share of workers with the highest education.

scholarly journals Causality between Economic Growth and Health Expenditure: A time series analysis from 1996 till 2017 in Albania

2020 ◽  
Vol 16 ◽  
Keyword(s):  
Economic Growth ◽  
Health Care ◽  
Human Capital ◽  
Health Expenditure ◽  
Health Care Expenditure ◽  
World Health ◽  
Development Economic ◽  
Causality Test ◽  
Per Capita Gdp ◽  
Per Capita

-Evidence shows that human capital is a leading driver and one of the most important factors affecting economic development. Economic growth models emphasize the effect that human capital has on the growth and prosperity of a country. The indicators used to measure human capital vary. In this article we will use total health expenditure as a measure for human capital. A healthier population will obviously lead to increased productivity and consequently a higher income for the individual. By increasing public health investments, the workforce will potentially be healthier and consequently human productivity will increase. One of the most important lessons to be learned from the coronavirus pandemic is the importance of investments in health care services, human resources and technical infrastructure for the economy. The aim of this article is to study the relationship between Health Care Expenditure (HCE) per capita and Gross Domestic Product GDP per capita in Albania. The data (in $) is taken from the World Health Organization website, for the time period 1996-2017. The methods used are the ARDL Bounds testing approach for co-integration and the Granger causality test. The main results are: the variables per capita GDP and per capita HCE are not cointegrated. The ARDL(1,1) model estimation points out the positive relationship between the two variables. Also, our study confirms the existence of joint causality between per capita GDP and per capita HCE.

scholarly journals PRODUCTIVITY DYNAMICS OF CHINESE MANUFACTURING FIRMS

2019 ◽  
Vol 64 (04) ◽  
pp. 899-919
Author(s):  
QU FENG ◽  
ZHIFENG WANG ◽  
GUIYING LAURA WU
Keyword(s):  
Productivity Growth ◽  
High Speed ◽  
Large Data ◽  
Manufacturing Firms ◽  
Estimation Methods ◽  
Resource Reallocation ◽  
Firm Level ◽  
Data Set ◽  
Per Capita Gdp ◽  
Per Capita

China has experienced high-speed catch-up growth with an average annual rate of over 8% in per capita GDP in the past four decades. Using growth accounting, Zhu (Understanding China’s growth: Past, present, and future. Journal of Economics Perspectives, 26(4), 103–124) finds that the growth of total factor productivity (TFP) accounts for 77% of China’s per capita GDP growth during 1978–2007, and argues that China’s TFP growth is mainly driven by resource reallocation due to market liberalization and institutional reforms. This paper aims to estimate China’s aggregate productivity growth by applying three leading methods of estimating firm-level production function on Chinese manufacturing firms during 1998–2007, and quantify the contribution of resource reallocation to productivity growth. In addition, we also empirically compare the three estimation methods in this large data set.

scholarly journals What rates of productivity growth would be required to offset the effects of population aging? A study of twenty industrialized countries

2018 ◽  
Vol 45 (3-4) ◽  
pp. 113 ◽  
Author(s):  
Frank T. Denton ◽  
Byron Spencer
Keyword(s):  
Productivity Growth ◽  
Population Distribution ◽  
Population Aging ◽  
Average Rate ◽  
Industrialized Countries ◽  
Aging Effects ◽  
Per Capita Gdp ◽  
Arithmetic Average ◽  
The World ◽  
Per Capita

A shift in population distribution toward older ages is underway in industrialized countries throughout the world, and will continue well into the future. We provide a framework for isolating the pure effects of population aging on per capita GDP, employ the framework in calculations for twenty OECD countries, and derive the rates of productivity growth required to offset those effects. Taking the twenty countries as a whole, the average productivity growth rate (a simple unweighted arithmetic average) required to just offset aging effects over the full 30 years from 2015 to 2045 would be 4.2 per cent per decade, or approximately 0.4 per cent per year; to achieve an overall increase of 1 per cent in GDP per capita would require an average rate of 15.1 per cent per decade, or 1.4 per cent per year. We consider also some labour-related changes that might provide offsets, for comparison with productivity.

scholarly journals Historical origins of Brazilian relative backwardness

2015 ◽  
Vol 35 (1) ◽  
pp. 75-94 ◽  
Author(s):  
ALEXANDRE RANDS BARROS
Keyword(s):  
Human Capital ◽  
New Zealand ◽  
Per Capita Gdp ◽  
The Usa ◽  
Total Growth ◽  
Major Period ◽  
Per Capita ◽  
European Periphery ◽  
The 19Th Century ◽  
Historical Origins

This paper relies on some data to identify the 19th century as the major period in which Brazil economy lagged behind some chosen benchmarking countries, as the USA, Canada, New Zealand, Australia and some European periphery countries. To identify the reasons for this an exercise using immigration data was used to make a decomposition of the sources of growth of the proportion of the USA per capita GDP to the Brazilian one. The results indicate that the imported human capital was responsible for 59% to 88% of this total growth between 1820 and 1900.

The Main Factors of Production of the Fifth and Sixth Techno-Economic Paradigms in Modern Russia

2016 ◽  
Vol 4 (5) ◽  
pp. 36-39 ◽  
Author(s):  
Басовская ◽  
Elena Basovskaya ◽  
Басовский ◽  
Leonid Basovskiy
Keyword(s):  
Higher Education ◽  
Human Capital ◽  
New Technologies ◽  
Per Capita Gdp ◽  
Russian Economy ◽  
Economic Paradigm ◽  
Fixed Assets ◽  
Main Factors ◽  
Per Capita ◽  
Factors Of Production

The purpose of this study was to obtain estimates of the spread of the new techno-economic paradigm in the Russian economy and the identification of factors of production of new paradigms. We used econometric estimates of the productivity of technical and economic paradigms. It is possible to determine the contribution of the new — the fifth and sixth paradigms in per capita GDP of Russia. In today’s economy a significant part of Russian per capita income — Not less than 220–240 thousand rubles, provided by the fifth and sixth paradigms. The main factors determining the contribution to 84% of new paradigms in per capita GDP, are new technologies and human capital. New technologies are implemented through the use of new fixed assets. The corresponding five and six paradigms of human capital measured by the share of employed workers with higher education.

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