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 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 An Analysis of the Monetary Transmission Mechanism of M&A, Greenfield FDI, Domestic Investment, and GDP Per Capita Growth: The Structural Vector Correction Model in Indonesia

2021 ◽  
Vol 14 (2) ◽  
pp. 29-42
Author(s):  
Albert Hasudungan ◽  
◽  
Andrey Hasiholan Pulungan ◽  
Keyword(s):  
Mergers And Acquisitions ◽  
Direct Investment ◽  
Transmission Mechanism ◽  
Gdp Per Capita ◽  
Monetary Transmission ◽  
Domestic Investment ◽  
Correction Model ◽  
Per Capita Gdp ◽  
Per Capita ◽  
Structural Vector

Purpose: The study aims to evaluate the different implications of mergers and acquisitions (M&A) and Greenfield foreign direct investment in the transmission mechanism effects on the growth of gross domestic product per capita (GDP per capita) in Indonesia. The origin of the study stems from past academic debates that contested whether Greenfield FDI or M&A bear more effect on the economic growth in emerging markets.

scholarly journals Economic Activity and Pollution:The case of Indonesia 1967-2013

2017 ◽  
Vol 18 (2) ◽  
pp. 239 ◽  
Author(s):  
Mohammad Rofiuddin ◽  
Tito Aditya Perdana ◽  
Nugroho SBM
Keyword(s):  
Linear Regression ◽  
Environmental Pollution ◽  
Co2 Emissions ◽  
Significant Influence ◽  
Economic Activity ◽  
Quadratic Equation ◽  
Gdp Per Capita ◽  
Per Capita Gdp ◽  
Curve Method ◽  
Per Capita

Increased economic activity accompanied with environmental pollution. The objective of the study was to analyze the effect of per capita GDP on CO2 emissions and to prove the hypothesis of the Kuznets environment curve. Method for analyzing data by using multiple linear regression with quadratic equation. The results show that GDP per capita has a positive and significant influence on CO2 emissions, as well as the square GDP per capita has a negative and significant influence on CO2 emissions, so the Kuznets Environment Curve's hypothesis can be proven.

scholarly journals Sugarcane ethanol industry effects on the GDP per capita in the Center-South region of Brazil

2017 ◽  
Vol 15 (2) ◽  
pp. 183-200
Author(s):  
Carlos Eduardo Caldarelli ◽  
Márcia Azanha Ferraz Dias De Moraes ◽  
Pietro André Telatin Paschoalino
Keyword(s):  
Federal District ◽  
Econometric Models ◽  
Gdp Per Capita ◽  
Panel Data Models ◽  
Mato Grosso ◽  
Industry Effects ◽  
Per Capita Gdp ◽  
Demand Growth ◽  
Per Capita ◽  
Mato Grosso Do Sul

The demand growth for biofuels worldwide led to a significant increase in the Brazilian sugarcane ethanol industry from the 2000’s. This scenario affected specially the Center-South region of Brazil, which comprises the states of São Paulo, Paraná, Minas Gerais, Mato Grosso do Sul, Mato Grosso, and Goiás, as well as the Federal District of Brasília, because it surpasses all other regions of the country in terms of the production and production facilities. Therefore, the aim of this study is to quantify the sugarcane ethanol industry effects on the per capita municipal gross domestic product (GDP) in the Center-South region of Brazil, for the 2000-2012 period. To that end, we estimated two econometric models, using panel data models and quantile regression. The results show that sugar ethanol industry has an important effect on GDP per capita for the Center-South region municipalities, furthermore the effects are more intensive on the lowest municipalities levels of the per capita GDP, thus being able to provide support for making public policy.

Tests of a more comprehensive model of economic growth in lower middle-income countries

2018 ◽  
Vol 45 (1) ◽  
pp. 46-58 ◽  
Author(s):  
Minh Quang Dao
Keyword(s):  
Economic Growth ◽  
Total Population ◽  
Gdp Per Capita ◽  
Gdp Growth ◽  
Comprehensive Model ◽  
Government Consumption ◽  
Middle Income ◽  
Per Capita Gdp ◽  
Content Type ◽  
Per Capita

Purpose The purpose of this paper is to empirically test a more comprehensive model of economic growth using a sample of 28 lower middle-income developing countries. Design/methodology/approach The authors modify the conventional neoclassical growth model to account for the impact of the increase in the number of people working relative to the total population and that of the increase in the value added per worker over time. The authors then extend this model by incorporating the role of trade, government consumption, and human capital in output growth. Findings Regression results show that over three quarters of cross-lower middle-income country variations in per capita GDP growth rate can be explained by per capita growth in the share of public expenditures on education in the GDP, per capita growth in the share of government consumption in the GDP, per capita growth in the share of imports in the GDP, per capita growth in the share of manufactured exports in the GDP (not of that of total exports in the GDP), and the growth of the working population relative to the total population. Practical implications Statistical results of such empirical examination will assist governments in these countries identify policy fundamentals that are essential for economic growth. Originality/value To address the simultaneity bias, the authors develop a simultaneous equations model and are able to show that such model is more robust and helps explains cross-country variations in per capita GDP growth over the 2000-2014 period.

Economic Development and Institutional Change, 1950–1980

2018 ◽  
pp. 222-244
Author(s):  
Şevket Pamuk
Keyword(s):  
World War Ii ◽  
Developed Countries ◽  
Gdp Per Capita ◽  
World War ◽  
Per Capita Gdp ◽  
Per Capita ◽  
The Developed Countries ◽  
Rates Of Growth ◽  
Gdp Gap

This chapter explores how the decades after World War II were a period of rapid growth for Turkey. Despite the crises in the mid-1950s and in the second half of the 1970s, GDP per capita increased at an average annual rate above three percent and more than doubled during the period 1950–1980. These rates of growth were unprecedented for Turkey. The long-term rates of growth achieved in Turkey after World War II were roughly comparable to the averages for both the developed countries and developing countries as a whole. As a result, the per capita GDP gap between Turkey and the developed countries changed little during this period.

scholarly journals Socio-economic Development and Anti-government Protests in Light of a New Quantitative Analysis of Global Databases

2020 ◽  
Vol 26 (4) ◽  
pp. 61-78
Author(s):  
Andrey Korotayev ◽  
Patrick Sawyer ◽  
Leonid Grinin ◽  
Daniil Romanov ◽  
Alisa Shishkina
Keyword(s):  
Formal Education ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
High Income ◽  
Gdp Per Capita ◽  
Negative Binomial Regression Model ◽  
Strong Positive Correlation ◽  
Per Capita Gdp ◽  
Positive Correlation ◽  
Per Capita

Previous studies have revealed a somewhat paradoxical strong positive correlation between per capita GDP and the intensity of anti-government demonstrations observed for the vast majority of countries (indeed, it turns out that the better people live, the more likely they are to join anti-government protests). The goal of this article is to identify possible causes of this unusual correlation. Our tests show that the processes of democratization and urbanization, as well as the expansion of formal education, are likely to be the main factors determining the positive relationship between per capita GDP and the intensity of antigovernment demonstrations, as urbanization, democratization, and expansion of education lead to an increase in the intensity of protests. Moreover, when controlling for these factors, the relationship between per capita GDP and anti-government protests becomes negative. Thus, high per capita GDP turns out to be a direct (proximate) significant negative factor affecting the intensity of anti-government demonstrations, but at thesame time it is an ultimate, even more significant positive factor in the intensity of protests. The growth of per capita GDP is quite naturally accompanied by an increase in the level of urbanization, democratization and education, which more than compensates for the direct inhibiting effect on the protests on the part of the growing per capita GDP (at least for low- and middle-income countries). In addition, the negative binomial regression model that we propose can explain not only the strong positive correlation between per capita GDP and the intensity of protests, which can be traced for a range of GDP per capita values of less than $20,000, but also the weaker negative correlation recorded for the range exceeding $20,000. The fact is that in rich countries urbanization, democratization and education indicators reach saturation levels and the vast majority of high-income countries have more or less similar levels for all three indicators. As a result, for a zone of per capita GDP values of more than $20,000, we are essentially dealing with automatic control of the correlation between GDP per capita and the intensity of protests for factors of democratization, education and urbanization, and, as our model predicts, the final effect of GDP per capita on the intensity of protests for high-income countries becomes negative, not positive.

scholarly journals Country’s Development as a Determinant of Early-Stage Entrepreneurial Activity

Organizacija ◽  
2013 ◽  
Vol 46 (3) ◽  
pp. 75-86 ◽  
Author(s):  
Miha Marič ◽  
Jasmina Žnidaršič ◽  
Miha Uhan ◽  
Vlado Dimovski ◽  
Marko Ferjan ◽  
...  
Keyword(s):  
Growth Rate ◽  
Public Debt ◽  
Inflation Rate ◽  
Early Stage ◽  
Entrepreneurial Activity ◽  
Gdp Per Capita ◽  
Regression Analyses ◽  
Per Capita Gdp ◽  
Per Capita ◽  
Real Growth

Our study is built on the dependence of early-stage entrepreneurial activity on GDP per capita, GDP real growth rate, unemployment rate, inflation rate, investments and public debt of different countries. We divide the early-stage entrepreneurial activity into necessity-driven and improvement-driven opportunistic entrepreneurial activity. To establish the dependencies we have conducted the regression analyses. Our three main findings are: (a) early-stage entrepreneurial activity does depend on our predictors; (b) necessity-driven entrepreneurial activity is negatively correlated to country’s development; and (c) improvement-driven opportunistic entrepreneurial activity is positively correlated to country’s development.

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