Spearman's Rank-Order Correlation Coefficient and the World DataBank (2012): Gross Domestic Product Per Capita and Internet Access

2015 ◽  
Author(s):  
Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Rajesh Vedanthan ◽  
Mondira Ray ◽  
Valentin Fuster ◽  
Ellen Magenheim

Introduction: Hypertension is the leading global risk for mortality and its prevalence is increasing in many low- and middle-income countries. Hypertension treatment rates are low worldwide, potentially in part due to insufficient human resources. However, the relationship between health worker density and hypertension treatment rates is unknown. Objective: To conduct an econometric analysis of the relationship between health worker density and hypertension treatment rates worldwide. Methods: Hypertension treatment rates were collected from published reports between 1980 and 2010. Data on health worker (physician and nurse) density were obtained from the World Health Organization (WHO). Data for potential confounding variables--per capita gross domestic product, hospital bed density, burden of infectious diseases, land area and urban population--were obtained from WHO and World Bank databases. Potential interaction by per capita gross domestic product was evaluated. Multivariable logistic-logarithmic regression analysis was performed using Stata. Results: Full data were available from 146 countries spanning all World Bank income classification categories. Health worker density was significantly associated with hypertension treatment rate in the unadjusted model (beta = 0.23; p < 0.005). In the fully adjusted model, the association remained positive but was not statistically significant (beta = 0.30; p = 0.078) (Figure). Hypertension treatment rates were more strongly related to physician than nurse density (beta = 0.21 vs 0.08; p = 0.10 vs 0.49). Conclusion: Hypertension treatment rates across the world appear to be related to health worker density, although the relationship does not achieve strict statistical significance. Our results suggest that a 10% increase in health worker density is associated with a 2-3% increase in hypertension treatment rate. Given the global burden of hypertension and other chronic diseases, WHO guidelines for health workforce staffing may need to be reconsidered.


Author(s):  
Khairunnisa Musari

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.


2019 ◽  
Vol 4 (7) ◽  
pp. 87-95
Author(s):  
DAVID ASLANISHVILI

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.


1993 ◽  
Vol 31 (3) ◽  
pp. 407-430 ◽  
Author(s):  
David N. Plank

By the World Bank's reckoning, Mozambique is the poorest country in the world, with a gross domestic product per capita of approximately $80 in 1990, as well as one of the most dependent on foreign assistance, which accounts for two-thirds of measured G.D.P. Indeed, aid receipts per capita amounted to approximately $60 in 1990, almost double the figure for sub-Saharan Africa, as may be seen from Table I.


Author(s):  
K. L. Datta

India, after seven decades of independence, found itself in the position of the fifth-largest economy in the world, with nominal gross domestic product (GDP) of USD 2.94 trillion in 2019. It is also the fastest-growing trillion-dollar economy in the world. India’s rank would have been third if GDP across the countries was compared in terms of purchasing power parity. But, in per capita terms, India falls way behind most of the member countries of the World Bank. However, this should not negate the expansion of the Indian economy that has taken place since Independence....


1996 ◽  
Vol 83 (3_suppl) ◽  
pp. 1182-1182 ◽  
Author(s):  
David Lester

In 44 nations of the world, gross national product per capita was a stronger predictor of suicide and homicide rates than was the average height of the population.


2016 ◽  
Vol 21 (1) ◽  
pp. 9-20
Author(s):  
Ersalina Tang

The purpose of this study is to analyze the impact of Foreign Direct Investment, Gross Domestic Product, Energy Consumption, Electric Consumption, and Meat Consumption on CO2 emissions of 41 countries in the world using panel data from 1999 to 2013. After analyzing 41 countries in the world data, furthermore 17 countries in Asia was analyzed with the same period. This study utilized quantitative approach with Ordinary Least Square (OLS) regression method. The results of 41 countries in the world data indicates that Foreign Direct Investment, Gross Domestic Product, Energy Consumption, and Meat Consumption significantlyaffect Environmental Qualities which measured by CO2 emissions. Whilst the results of 17 countries in Asia data implies that Foreign Direct Investment, Energy Consumption, and Electric Consumption significantlyaffect Environmental Qualities. However, Gross Domestic Product and Meat Consumption does not affect Environmental Qualities.


2017 ◽  
Vol 21 (2) ◽  
pp. 85-95
Author(s):  
John Marcell Rumondor

This research aims to understand the influenceof foreign investment, international trade, Gross Domestic Product per capita, agriculture and urbanization of the working population. Country used as an object in this research is Indonesia. This research uses the method of analysis Ordinary Least Square (OLS) and the multiple linear regression analysis method. Research period are from 1997 – 2012. The results showed that the international trade, Gross Domestic Product per capita, agriculture and urbanization have significantpositive influenceon the population work in Indonesia, but foreign investment has no significanteffect on the working population in Indonesia.


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