scholarly journals Topics in National Anthems

2020 ◽  
Vol 20 (2) ◽  
pp. 288
Author(s):  
Radu Silaghi-Dumitrescu
Keyword(s):  
Gross Domestic Product ◽  
Human Development Index ◽  
Armed Forces ◽  
Well Being ◽  
Gdp Per Capita ◽  
World Values Survey ◽  
Anecdotal Evidence ◽  
The World ◽  
Per Capita ◽  
Work Attachment

<p><em>National anthems are occasionally quoted, mostly based on anecdotal evidence or arguments, to be correlated with societal features. The present study aims to identify the pervasive topics in national anthems, and then to establish whether connections may be established between these topics and some basic societal features. Upon examination of ~200 anthems, such recurring themes were identified: ancestry/past, beauty, build/work, country name, courage, democracy, enemy, ethnicity, family, man, woman, fight, flag/colours, forever/never, future, geographical references, glory, independence/freedom, joy/happiness, home/mother/father-land, law/governance, leader, love, loyalty, peace, poverty/wealth, pride, religion, revolution, sacred, sacrifice, salvation, sorrow, treason, tyrant/chains, unity, win/victory. The number of topics, as well as their bias (e.g., towards identity, or towards fight, or towards general well-being), vary widely between anthems; groups of anthems may be identified based on these tendencies. Moreover, the number of topics, their bias, and/or the date of adoption can be proven to correlate to some extent to more general societal features such as date of adoption, age of country, gross domestic product (GDP) per capita, Gini coefficient, size of armed forces, inequality, inequality-adjusted human development index, and a number of parameters from the World Values Survey (WVS) database (related to religion, gender equality, attitude towards other nationalities/races, attitude towards work, attachment to democratic values etc). This set of data and the herein identified correlations may offer grounds for further, more detailed exploration of a variety of correlations between societal features and official narratives, starting with the national anthems as prime example.</em></p><p><br /><em></em></p>

The Loan Shark in ASEAN

2020 ◽  
pp. 252-277
Author(s):  
Khairunnisa Musari
Keyword(s):  
Gross Domestic Product ◽  
Capita Income ◽  
Southeast Asian ◽  
Gdp Per Capita ◽  
Domestic Product ◽  
Per Capita Income ◽  
The World ◽  
Per Capita ◽  
Asean Countries ◽  
Loan Shark

Loan shark is a humanitarian problem faced by many countries in the world, including in Asia, even in the Association of Southeast Asian Nations (ASEAN)'s countries. Loan shark activities are found not only in Myanmar and Cambodia, which has the lowest per capita income in ASEAN but also in Indonesia, Thailand, Malaysia, Brunei, and even Singapore, which are the five countries with the highest gross domestic product (GDP) per capita in ASEAN. How are loan shark practices in ASEAN countries? Can nanofinance overcome the microfinance gap to fight the loan shark? How the practice of Bank Wakaf Mikro (BWM) in Indonesia to nanofinance with qardhul hassan contract? Find the answers in this chapter.

Indo-Pacific Economic Architecture: An ASEAN Perspective

2019 ◽  
Vol 113 ◽  
pp. 381-383
Author(s):  
Ronald Eberhard Tundang
Keyword(s):  
Economic Growth ◽  
Gross Domestic Product ◽  
Gdp Per Capita ◽  
The Third ◽  
The Pacific ◽  
The World ◽  
The Pacific Ocean ◽  
Per Capita ◽  
Trade Growth ◽  
Global Economic Growth

For over five decades, countries in Southeast Asia and its surroundings in Asia, the Pacific Ocean, and Pacific Rim have enjoyed peace and stability, upon which economic growth and welfare have accumulated. The marvel of uninterrupted development has transformed them into a group of countries that are part of the engines of global economic growth. Over the period of 1967 until 2017, Southeast Asian region recorded growth in gross domestic product (GDP) per capita almost thirty-three times bigger, from USD 122 to USD 4,021. In 2016, the region represented 6.2 percent GDP of the world in 2016, almost doubled the share in 1967 at just 3.2 percent. The period also saw an immense trade growth from USD 9.7 billion to USD 2.2 trillion. Right now the region has become the third largest economy in Asia and the fifth largest in the world.

scholarly journals Global Discrepancies between Numbers of Available SARS-CoV-2 Genomes and Human Development Indexes at Country Scales

Viruses ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 775
Author(s):  
Philippe Colson ◽  
Didier Raoult
Keyword(s):  
Life Expectancy ◽  
Human Development ◽  
Human Development Index ◽  
Gdp Per Capita ◽  
Asian Countries ◽  
Genome Sequences ◽  
Microsoft Excel ◽  
Development Index ◽  
The World ◽  
Per Capita

It has now been over a year since SARS-CoV-2 first emerged in China, in December 2019, and it has spread rapidly around the world. Some variants are currently considered of great concern. We aimed to analyze the numbers of SARS-CoV-2 genome sequences obtained in different countries worldwide until January 2021. On 28 January 2021, we downloaded the deposited genome sequence origin from the GISAID database, and from the “Our world in data” website we downloaded numbers of SARS-CoV-2-diagnosed cases, numbers of SARS-CoV-2-associated deaths, population size, life expectancy, gross domestic product (GDP) per capita, and human development index per country. Files were merged and data were analyzed using Microsoft Excel software. A total of 450,968 SARS-CoV-2 genomes originating from 135 countries on the 5 continents were available. When considering the 19 countries for which the number of genomes per 100 deaths was >100, six were in Europe, while eight were in Asia, three were in Oceania and two were in Africa. Six (30%) of these countries are beyond rank 75, regarding the human development index and four (20%) are beyond rank 80 regarding GDP per capita. Moreover, the comparisons of the number of genomes sequenced per 100 deaths to the human development index by country show that some Western European countries have released similar or lower numbers of genomes than many African or Asian countries with a lower human development index. Previous data highlight great discrepancies between the numbers of available SARS-CoV-2 genomes per 100 cases and deaths and the ranking of countries regarding wealth and development.

scholarly journals Government Spending, Gross Domestic Product, Human Development Index (Evidence from East Java Province)

2020 ◽  
Author(s):  
Farida Rahmawati ◽  
Meirna Nur Intan
Keyword(s):  
Local Government ◽  
Gross Domestic Product ◽  
Human Development ◽  
Government Spending ◽  
Human Development Index ◽  
Capita Income ◽  
Gdp Per Capita ◽  
Domestic Product ◽  
Development Index ◽  
Per Capita

Government spending is expected to improve the Human Development Index (HDI) in order to increase public welfare. Theoretically, if the number of government expenditure is increasing then the Human Development Index (HDI) will be higher as well. Based on earlier research, it was found few differences about the result of influence Government spending to Human Index. The purpose of the study was to analyze the influence of government spending and Gross Domestic Product to the Human Development Index of East Java Province (during 2014-2017). The research method using descriptive quantitative approach. Local government expenditures were analyzed by direct local government spending by looking at three aspects namely employees expenditure, spending on goods and services, and capital expenditures. Whereas, for the GDP per capita income is analyzed based on three aspects: production, income, and expenditure. Then the human development index to see the effects of these two variables based on three dimensions that exist in the human development index healthiness dimensions, dimensions of knowledge, and economic dimensions. The results showed that the local government spending income and the GDP per capita income has a significant effect on the human development index. Government spending has a significant influence on the educational dimension, while GDP per capita has a significant effect on the purchasing power of people thus affecting the economic dimension. Keywords: Government spending, Gross Domestic Product, Human Development Index

scholarly journals GREEN ECONOMY AND ACCESS TO FINANCE IN GEORGIA (GOING BEYOND THE COMMERCIAL BANKING SECTOR TO FINANCE BUSINESSES IN GEORGIA)

2019 ◽  
Vol 4 (7) ◽  
pp. 87-95
Author(s):  
DAVID ASLANISHVILI
Keyword(s):  
Economic Growth ◽  
Gross Domestic Product ◽  
Capital Markets ◽  
Commercial Banks ◽  
Clean Energy ◽  
Gdp Per Capita ◽  
Domestic Product ◽  
The World ◽  
Per Capita

This research will explore other possible financial vehicles that go beyond traditional sources of private capital offered by commercial banks. It will look at international experience and the opportunities to use public support, green bonds to raise green finance as well as the work of energy service companies (ESCOs) to finance green investments. We have offered our view of what should be done in fact (not in paper in Georgia as it has been in the past 15 years) to change the situation and end the negative and harmful monopoly of the commercial banks and the National Bank of Georgia and to have in place the two independent sources to attract and invest resources in Georgia. This will increase the capitalization of the country and is a proven way to eradicate the country›s lagging and accelerate economic growth. Why should we focus on this issue? 1. According to WHO›s latest data, over 7 million people die each year because of breathing air with solid particles, and one of its main pollutants is vehicles. (Cereceda Rafael, Cuddy Alice. 2018.....) 2. Georgia’s Capital - Tbilisi - is occupying the 3rd place in the light of air pollution, 3. Due to the critical situation, the public demand to live in a clean ecological environment, day by day increases. In our research the following Questions are discussed and overviewed: • Is it important to act on the issues of Georgia›s position on the global scale? • What unique components can be used to prolong the average life of people? • What investors do the country need for building ecoprojects and their realization? • What type of ecofriendly technologies can be developed for potential customers in Georgia? In that field we have studied the following: • The links between economic growth, green growth (e.g. clean energy), high living standards and capital markets; • Why the Commercial Banks are the main and the only source of finance for green (and not only) investments in Georgia; • Situation on capital markets of Georgia (stock and bond markets) - as an indicator of economic growth and an alternative source of financing; • Possible benefits of non-bank financing, including for clean energy projects and the SME sector (e.g. small hydro, energy efficiency); • The role of government in supporting capital market development; • The role of international community (donors, IFIs, international organization) to support Georgia’s efforts to develop capital markets Georgia – Recent level of development To illustrate the wide gap between the developed economy and the weak one, let us compare the current level of per capita GDP of Switzerland, Hungary, Poland to Georgian one (source: https://tradingeconomics.com/switzerland/gdpper-capita; https://tradingeconomics.com/poland/gdp-percapita; https://tradingeconomics.com/hungary/gdp-per-capita; https://tradingeconomics.com/georgia/gdp-per-capita); • The Gross Domestic Product per capita in Switzerland was last recorded at 76667.44 US dollars in 2017. The GDP per Capita in Switzerland is equivalent to 607 percent of the world›s average. • The Gross Domestic Product per capita in Hungary was last recorded at 15647.85 US dollars in 2017. The GDP per Capita in Hungary is equivalent to 124 percent of the world›s average. • The Gross Domestic Product per capita in Poland was last recorded at 15751.23 US dollars in 2017. The GDP per Capita in Poland is equivalent to 125 percent of the world›s average. • The Gross Domestic Product per capita in Georgia was last recorded at 4290.17 US dollars in 2017).The GDP per Capita in Georgia is equivalent to 34 percent of the world›s average.

scholarly journals Global patterns of conservation research importance in different countries of the world

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e2173 ◽  
Author(s):  
Hideyuki Doi ◽  
Teruhiko Takahara
Keyword(s):  
Endangered Species ◽  
Gross Domestic Product ◽  
Positive Relationship ◽  
Research Effort ◽  
Economic Status ◽  
Gdp Per Capita ◽  
The World ◽  
Global Patterns ◽  
Per Capita ◽  
Conservation Research

Conservation research is essential to help inform the science-based management of environments that support threatened and endangered wildlife; however, research effort is not necessarily uniform across countries globally. Here, we assessed how the research importance of conservation is distributed globally across different countries and what drives this variation. Specifically, we compared the number of conservation/ecological articles versus all scientific articles published for each country in relation to the number of endangered species, the protection status and number of ecosystems, and the economic status of each country (gross domestic product (GDP) per capita). We observed a significant and positive relationship between the proportion of conservation and ecology articles to all scientific articles with respect to the number of endangered species and the proportion of endangered species that are protected in a country, as well as GDP per capita. In conclusion, knowledge about the conservation and economic status of countries should be accounted for when predicting the research importance of conservation and ecology.

scholarly journals The connenction between global innovation index and economic well-being indexes

2019 ◽  
Vol 13 (3-4) ◽  
pp. 87-92
Author(s):  
Szlobodan Vukoszavlyev
Keyword(s):  
Standard Deviation ◽  
Life Expectancy ◽  
South Asia ◽  
Human Development ◽  
Human Development Index ◽  
Well Being ◽  
Gdp Per Capita ◽  
Development Index ◽  
Global Innovation ◽  
Per Capita

We study the connection of innovation in 126 countries by different well-being indicators and whether there are differences among geographical regions with respect to innovation index score. We approach and define innovation based on Global Innovation Index (GII). The following well-being indicators were emphasized in the research: GDP per capita measured at purchasing power parity, unemployment rate, life expectancy, crude mortality rate, human development index (HDI). Innovation index score was downloaded from the joint publication of 2018 of Cornell University, INSEAD and WIPO, HDI from the website of the UN while we obtained other well-being indicators from the database of the World Bank. Non-parametric hypothesis testing, post-hoc tests and linear regression were used in the study.We concluded that there are differences among regions/continents based on GII. It is scarcely surprising that North America is the best performer followed by Europe (with significant differences among countries). Central and South Asia scored the next places with high standard deviation. The following regions with significant backwardness include North Africa, West Asia, Latin America, the Caribbean Area, Central and South Asia, and sub-Saharan Africa. Regions lagging behind have lower standard deviation, that is, they are more homogeneous therefore there are no significant differences among countries in the particular region.In the regression modelling of the Global Innovation Index, it was concluded that GDP per capita, life expectancy and human development index are significant explanatory indicators. In the multivariable regression analysis, HDI remained the only explanatory variable in the final model. It is due to the fact that there was significant multicollinearity among the explanatory variables and the HDI aggregates several non-economic indicators like GII. JEL Classification: B41, I31, O31, Q55

scholarly journals The global distribution of COVID-19 vaccine: The role of macro-socioeconomics measures

2021 ◽  
Author(s):  
Ali Roghani ◽  
Samin Panahi
Keyword(s):  
Clinical Trials ◽  
Gross Domestic Product ◽  
Human Development Index ◽  
Political System ◽  
Gdp Per Capita ◽  
Health Infrastructure ◽  
Successful Vaccine ◽  
Per Capita ◽  
Vaccine Distribution

AbstractSince coronavirus disease 2019 (covid-19) has continued to spread globally, many countries have progressed clinical trials and started vaccinations at the end of December 2020. This report aims to analyze the association of COVID-19 vaccine distribution and two macro-socioeconomics measures, including human development index (HDI) and Gross domestic product (GDP), among 25 countries till the first week of February 2021. Our results indicate that a higher GDP per Capita is positively associated with higher COVID-19 vaccine distribution. However, UAE and Israel have more successful vaccine distribution outcomes regardless of their GDP. In addition, the result shows HDI does not have a significant relationship with vaccine distribution. Although these macro-socioeconomic measures may be counted as a vital indicator for vaccine distribution, other factors may play roles in vaccine distribution, including well-developed health infrastructure, a centralized political system, and population size.

scholarly journals Are We Approaching Peak Meat Consumption? Analysis of Meat Consumption from 2000 to 2019 in 35 Countries and Its Relationship to Gross Domestic Product

Animals ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 3466
Author(s):  
Clare Whitton ◽  
Diana Bogueva ◽  
Dora Marinova ◽  
Clive J. C. Phillips
Keyword(s):  
Gross Domestic Product ◽  
Consumer Preferences ◽  
Disease Outbreaks ◽  
Meat Consumption ◽  
Well Being ◽  
Gdp Per Capita ◽  
Domestic Product ◽  
Food And Agriculture ◽  
Food And Agriculture Organization ◽  
Per Capita

Growing prosperity, but also disease outbreaks, natural disasters, and consumer preferences are changing global meat consumption. We investigated the 2000–2019 trends in 35 countries monitored by the Food and Agriculture Organization and the Organisation for Economic Co-operation and Development. We also tested relationships with Gross Domestic Product (GDP). Several countries appeared to be reaching peak consumption of some meats, and three (New Zealand, Canada, and Switzerland) have reached this. Poultry consumption increased over time in most countries, and beef and mutton/lamb consumption decreased in many. Using cluster analysis, we divided countries into two clusters: one in which increases in GDP per capita matched increases in meat consumption; and a second one of nine countries, for which there was no association between per capita change in GDP and meat consumption. There was evidence of a tipping point around USD 40,000 of GDP per capita, after which increases in economic well-being do not lead to increased meat consumption.

scholarly journals THE CORRELATION OF THE HUMAN DEVELOPMENT INDEX (HDI) TOWARDS ECONOMIC GROWTH (GDP PER CAPITA) IN 10 ASEAN MEMBER COUNTRIES

2018 ◽  
Vol 2 (2) ◽  
pp. 40-46
Author(s):  
Elistia Elistia ◽  
Barlia Annis Syahzuni
Keyword(s):  
Economic Growth ◽  
Gross Domestic Product ◽  
Human Development ◽  
Human Development Index ◽  
Gdp Per Capita ◽  
Domestic Product ◽  
Development Index ◽  
Asean Member ◽  
Brunei Darussalam ◽  
Per Capita

Economic growth is an important factor in the economic development of a country. There is a number of factors that can increase economic growth namely human development. The level of human development in a country array in the value of the Human Development Index (HDI). The growth rate of a country appears in the value of the Gross Domestic Product (GDP) per Capita. The influence of human power resources is shown in the value of HDI which is able to influence the level of economic growth in the value of its GDP. This study will examine the effect of HDI on economic growth in 10 (ten) ASEAN member countries during the period 2010-2016, namely Indonesia, Singapore, Malaysia, Thailand, Brunei Darussalam, Philippines, Laos, Vietnam, Myanmar, and Cambodia against its economic growth in its GDP per capita. Several literature studies such Ciobanu Oana (2015), Swaha Shome et.al (2010), Mihu? Loana Sorina (2013), show that there are a relationship and an influence of Human Development Index's value on Gross Domestic Product (GDP) per capita. The result of this research indicates that each country has a strong and significant correlation between HDI and GDP. It is concluded that the level of HDI can affect the GDP per capita. Economic growth makes it possible to reach a high level of human development, on the one hand, increasing levels of human development leading to increase opportunities for economic growth. The causal relationship between economic growth and human development becomes a mutually influential relationship. So it is clear that the human development in the country relates to an influence of economic growth which is seen in per capita income (GDP per capita) which can be an indicator of welfare in the country.

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