scholarly journals Past and projected GDP per capita growth in Southeast Asia

2017 ◽  
Keyword(s):  
Southeast Asia ◽  
Gdp Per Capita ◽  
Per Capita

scholarly journals Primary Brain Tumor Research Productivity in Southeast Asia and Its Association With Socioeconomic Determinants and Burden of Disease

2020 ◽  
Vol 10 ◽  
Author(s):  
Mark Willy L. Mondia ◽  
Adrian I. Espiritu ◽  
Roland Dominic G. Jamora
Keyword(s):  
Southeast Asia ◽  
Burden Of Disease ◽  
Research Productivity ◽  
Scientific Output ◽  
Cns Tumors ◽  
Gdp Per Capita ◽  
Socioeconomic Determinants ◽  
Life Years ◽  
Per Capita ◽  
The Impact

BackgroundThere is an unmet need to assess research productivity from southeast Asia (SEA) regarding primary central nervous system (CNS) tumors. The country’s economy, landscape of neurology practice, and disease burden are hypothesized to correlate with scientific output. This study aimed to objectively measure the impact of published studies on primary brain tumors in SEA and to assess for correlation with socioeconomic determinants and burden of disease.MethodsWe systematically searched electronic databases for relevant articles from SEA on primary CNS tumor until July 31, 2020. Bibliometric indices were reported and subjected to correlational analysis with population size, gross domestic product (GDP) per capita, percentage (%) GDP for research and development (R&D), total number of neurologists, disease incidence, deaths, and disability-adjusted life years.ResultsA total of 549 articles were included, consisting primarily of case reports (n=187, 34.06%) and discussed gliomas (n=195, 35.52%). Singapore published the most number of the articles (n=246, 44.8%). Statistical analysis showed a positive correlation between %GDP for R&D and total publication. Additionally, negative relationships were noted between burden of disease and total neurologist with most bibliometric indices. However, GDP per capita was not correlated with measures for research productivity.ConclusionThe low impact of scientific output on primary CNS tumors in SEA does not address the growing epidemiology and burden of this disease. An increase in the GDP growth and financial and manpower investment to R&D may significantly improve research productivity in SEA.

scholarly journals Associations of motor neuron disease research productivity and socioeconomic factors in Southeast Asia: a bibliometric analysis

2021 ◽  
Vol 79 (11) ◽  
pp. 1002-1011
Author(s):  
Christian Wilson Rosales Turalde ◽  
Adrian Isidoro Espiritu ◽  
Roland Dominic Go Jamora
Keyword(s):  
Southeast Asia ◽  
Motor Neuron ◽  
Motor Neuron Disease ◽  
Research Productivity ◽  
Scientific Productivity ◽  
Scientific Output ◽  
Gdp Per Capita ◽  
Per Capita Gdp ◽  
Per Capita ◽  
Number Of Publications

ABSTRACT Background: Scientific productivity on motor neuron disease (MND) research has been hypothesized to be low in Southeast Asia (SEA). Objective: To investigate the scientific productivity of SEA countries on MND and the associations between research metric indices and various country-specific socioeconomic parameters. Methods: We searched electronic databases for relevant articles from SEA on MND from the earliest indexed record to June 30, 2020. We obtained the following research productivity indices: bibliometric (number of publications in journals with impact factor (IF) and Scopus citations) and altmetric indices (PlumX metrics). We also collected data from published literature and reliable sources on the following socioeconomic variables: population, gross domestic product (GDP), GDP per capita, %GDP allocated for research and development (R&D) and the number of neurologists per country. Results: We included 196 articles that satisfied our inclusion criteria. Amyotrophic lateral sclerosis studies comprised the majority of the articles (n = 112; 57.1%). The top three countries in terms of the numbers of publications in journals with IF and in PlumX metrics were Singapore (n = 129), Malaysia (n = 26), and Thailand (n = 18). GDP per capita, %GDP for R&D and number of neurologists per one million population had strong positive correlations with the bibliometric and altmetric indices. Conclusions: This study highlights that although the scientific productivity of MND research in SEA has been low, it is continuously growing. This also emphasizes the imperative to improve economic indices and the number of neurologists in SEA to enhance scientific output on MND.

scholarly journals Examining the Relationships between Energy Use, Fossil Fuel Consumption, Carbon Dioxide Emissions, and Economic Growth in Southeast Asia

2019 ◽  
Vol 3 ◽  
pp. 45-59
Author(s):  
Anh Tru Nguyen ◽  
Keyword(s):  
Economic Growth ◽  
Southeast Asia ◽  
Fuel Consumption ◽  
Co2 Emissions ◽  
Energy Use ◽  
Fossil Fuel ◽  
Critical Value ◽  
Gdp Per Capita ◽  
Fossil Fuel Consumption ◽  
Per Capita

This article examines the relationships between energy use, fossil fuel consumption, CO2 emissions, and economic growth in three developing countries in Southeast Asia between 1988 and 2017. We found that the GDP per capita positively affects per capita CO2 emissions, and that it has a positive relationship with per capita energy use. Additionally, we found that GDP per capita is negatively affected by fossil fuel consumption, whereas it is positively affected by per capita CO2 emissions. Moreover, results show directional relationships running from per capita CO2 emissions to GDP per capita, from GDP per capita to per capita energy use, from GDP per capita to fossil fuel consumption, and from GDP per capita to per capita CO2 emissions. We found cointegration among the variables at the 1% critical value and two levels of cointegration among variables at the 5% critical value. Finally, we recommend policies to boost economic growth, reduce CO2 emissions, and achieve sustainable development in Southeast Asia.

Searching for new Sources of growth. Are the Developing Countries Catching up with the Developed ones?

2015 ◽  
pp. 30-53
Author(s):  
V. Popov
Keyword(s):  
Developing Countries ◽  
Western Europe ◽  
Gdp Per Capita ◽  
The West ◽  
Catching Up ◽  
The Us ◽  
The World ◽  
Economic Divergence ◽  
Per Capita ◽  
Relative Standing

This paper examines the trajectory of growth in the Global South. Before the 1500s all countries were roughly at the same level of development, but from the 1500s Western countries started to grow faster than the rest of the world and PPP GDP per capita by 1950 in the US, the richest Western nation, was nearly 5 times higher than the world average and 2 times higher than in Western Europe. Since 1950 this ratio stabilized - not only Western Europe and Japan improved their relative standing in per capita income versus the US, but also East Asia, South Asia and some developing countries in other regions started to bridge the gap with the West. After nearly half of the millennium of growing economic divergence, the world seems to have entered the era of convergence. The factors behind these trends are analyzed; implications for the future and possible scenarios are considered.

Atlas of economic complexity, Russian regional pages

2018 ◽  
pp. 71-91 ◽  
Author(s):  
I. L. Lyubimov ◽  
M. V. Lysyuk ◽  
M. A. Gvozdeva
Keyword(s):  
Value Added ◽  
Growth Strategy ◽  
Gdp Per Capita ◽  
Export Diversification ◽  
Russian Regions ◽  
Economic Complexity ◽  
Diversification Strategies ◽  
Central Regions ◽  
Per Capita ◽  
Regions Of Russia

Well-established results indicate that export diversification might be a better growth strategy for an emerging economy as long as its GDP per capita level is smaller than an empirically defined threshold. As average incomes in Russian regions are likely to be far below the threshold, it might be important to estimate their diversification potential. The paper discusses the Atlas of economic complexity for Russian regions created to visualize regional export baskets, to estimate their complexity and evaluate regional export potential. The paper’s results are consistent with previous findings: the complexity of export is substantially higher and diversification potential is larger in western and central regions of Russia. Their export potential might become larger if western and central regions, first, try to join global value added chains and second, cooperate and develop joint diversification strategies. Northern and eastern regions are by contrast much less complex and their diversification potential is small.

The Reproduction Vector of the Russian Economy: 1999-2007

2008 ◽  
pp. 94-109 ◽  
Author(s):  
D. Sorokin
Keyword(s):  
Economic Policy ◽  
Human Capital ◽  
Growth Rates ◽  
Developed Countries ◽  
Gdp Per Capita ◽  
Real Sector ◽  
Russian Economy ◽  
Per Capita ◽  
The Developed Countries

The problem of the Russian economy’s growth rates is considered in the article in the context of Russia’s backwardness regarding GDP per capita in comparison with the developed countries. The author stresses the urgency of modernization of the real sector of the economy and the recovery of the country’s human capital. For reaching these goals short- or mid-term programs are not sufficient. Economic policy needs a long-term (15-20 years) strategy, otherwise Russia will be condemned to economic inertia and multiplying structural disproportions.

The monetary value of disability-adjusted-life-years lost in Kenya in 2017.pdf

2019 ◽  
Author(s):  
Joses Kirigia ◽  
Rose Nabi Deborah Karimi Muthuri
Keyword(s):  
New York ◽  
International Monetary Fund ◽  
Health Expenditure ◽  
Analytical Framework ◽  
World Health ◽  
Gdp Per Capita ◽  
Current Health ◽  
Monetary Value ◽  
Life Years ◽  
Per Capita

<div>A variant of human capital (or net output) analytical framework was applied to monetarily value DALYs lost from 166 diseases and injuries. The monetary value of each of the 166 diseases (or injuries) was obtained through multiplication of the net 2019 GDP per capita for Kenya by the number of DALYs lost from each specific cause. Where net GDP per capita was calculated by subtracting current health expenditure from the GDP per capita. </div><div> </div><p>The DALYs data for the 166 causes were from IHME (Global Burden of Disease Collaborative Network, 2018), GDP per capita data from the International Monetary Fund world economic outlook database (International Monetary Fund, 2019), and the current health expenditure per person data from the WHO Global Health Expenditure Database (World Health Organization, 2019b). A model consisting of fourteen equations was calculated with Excel Software developed by Microsoft (New York).</p><p> </p>

Sign in / Sign up

Export Citation Format

Share Document