Convergence of GDP Per Capita Among Coffee Producing and Re-Exporting Countries in the World

2022 ◽  
Author(s):  
Reuben M.J. Kadigi ◽  
Elizabeth Robinson ◽  
Sylvia Szabo ◽  
Rajabu KANGILE ◽  
Charles P. Mgeni ◽  
...  
Keyword(s):  
Gdp Per Capita ◽  
The World ◽  
Per Capita

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.

scholarly journals Using fuzzy logic for evaluating the level of countries’ (regions’) economic development

2012 ◽  
Vol 59 (3) ◽  
pp. 293-310 ◽  
Author(s):  
Gordan Stojic
Keyword(s):  
Mathematical Model ◽  
Economic Development ◽  
Fuzzy Logic ◽  
Developed Countries ◽  
Gdp Per Capita ◽  
Industrial Growth ◽  
The Poor ◽  
The World ◽  
Level Of Economic Development ◽  
Per Capita

There are several divisions of countries and regions in the world. Besides geo-political divisions, there also are economic divisions. The most common economic division is the that on developed countries and the poor ones. These divisions are a consequence of the level of: GDP, GDP per capita, unemployment rate, industrial growth, and so on. The question is how to define a mathematical model based on which the following will be assessed: who is rich and who is poor, or who is economically developed and who is not? How the boundaries of transition from one category to another can be defined? This paper presents a model for evaluating the level of economic development of countries and regions using "fuzzy" logic. The model was tested on a sample of 19 EU member countries and aspirants for membership.

Is Guyana a new oil El Dorado?

2019 ◽  
Vol 12 (5) ◽  
pp. 365-368
Author(s):  
Luis Fernando Panelli
Keyword(s):  
South America ◽  
21St Century ◽  
Presidential Elections ◽  
Gdp Per Capita ◽  
The Political ◽  
Oil Exploitation ◽  
The World ◽  
Challenges And Opportunities ◽  
Per Capita

Abstract The Co-operative Republic of Guyana has become one of the most interesting and dynamic oil producing countries in the world at the start of the 21st century. The country already holds 5 billion barrels of proved reserves, which will certainly grow with new discoveries. Exxon leads a consortium of four companies that have the concession of the Stabroek Block (Liza Field), where nine discoveries have been made so far. Five FPSOs will be operating in the future, one of which is due to arrive in Guyana before the end of 2019 and another is due for 2020. By then, the country will be producing 340,000 barrels a day. This production will double and then reach 1 million barrels a day before the end of the next decade. The challenges and opportunities regarding the Guyanese people are dire. The lack of proper infrastructure is certainly one of the biggest challenges. But it is important to stress that the oil proceeds will transform Guyana into the highest GDP per capita of South America. The political stage is also analysed, since political instability might raise concerns for long-term investors. The Venezuela–Guyana differences regarding the sovereignty of the Essequibo Region are again a cause for concern. Brazil is a key player in supporting the geopolitical stability of South America. Presidential elections will be held in 2019/2020: the dispute will probably be between the current President Granger and the Opposition candidate Irfaan Ali. Guyana has a lot to profit from the wealth brought by oil exploitation, but its people fear the risk of growing corruption.

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.

Forecasting global road traffic injury mortality for 2030

2019 ◽  
Vol 26 (4) ◽  
pp. 339-343 ◽  
Author(s):  
Haruhiko Inada ◽  
Qingfeng Li ◽  
Abdulgafoor Bachani ◽  
Adnan A Hyder
Keyword(s):  
Road Traffic ◽  
Secondary Analysis ◽  
Mortality Rates ◽  
Road Traffic Injury ◽  
Population Projection ◽  
Gdp Per Capita ◽  
Country Level ◽  
The World ◽  
Per Capita ◽  
Years Of Schooling

ObjectiveTo forecast the number and rate of deaths from road traffic injuries (RTI) in the world in 2030.MethodsThis study was a secondary analysis of annual country-level data of RTI mortality rates for 1990–2017 in the Global Burden of Disease (GBD) 2017 Study, population projection for 2030, gross domestic product (GDP) per capita for 1990–2030 and average years of schooling among people aged 15 years+ for 1990–2030. We developed up to 6884 combinations of forecasting models for each subgroup stratified by country, sex and mode of transport using linear and squared year, GDP per capita and average years of schooling as potential predictors. We conducted a fixed-size, rolling window out-of-sample forecast to choose the best combination for each subgroup. In the validation, we used the data for 1990–2002, 1991–2003 and 1992–2004 (fit periods) to forecast mortality rates in 2015, 2016 and 2017 (test periods), respectively. We applied the selected combination of models to the data for 1990–2017 to forecast the mortality rate in 2030 for each subgroup. To forecast the number of deaths, we multiplied the forecasted mortality rates by the corresponding population projection.ResultsDuring the test periods, the selected combination of models produced the number of deaths that is higher than that estimated in the GBD Study by 5.1% collectively. Our model resulted in 1.225 million deaths and 14.3 deaths per 100 000 population in 2030, which were 1% and 12% less than those for 2017 in the GBD Study, respectively.ConclusionsThe world needs to accelerate its efforts towards achieving the Decade of Action for Road Safety goal and the Sustainable Development Goals target.

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 Why are We So Good At Football, and They So Bad? Institutions and National Footballing Performance

De Economist ◽  
2020 ◽  
Author(s):  
Meshael Batarfi ◽  
James Reade
Keyword(s):  
Production Technology ◽  
Gdp Per Capita ◽  
Public Parks ◽  
The World ◽  
Basic Production ◽  
Per Capita

AbstractThe basic production technology in football is identical for each team that competes. All around the world, a field, goalposts and a ball is all that is required, in addition to players. It’s hard to imagine the quality of informal football in public parks, streets and alleys the world over differs much. Yet at each country’s highest level, there exists vast quality differences in the national football teams across countries. This paper sketches out broad patterns in this variation in performance, and seeks to understand why some countries are very good, whilst others perform poorly. We investigate a range of macroeconomic, demographic and political explanations, alongside more conventional sporting metrics. We also consider the extent to which they explain the observed variation in footballing performance historically. We find that higher level of GDP per capita helps nations to win more often, but that population hinders this. A more developed domestic footballing structure appears to be helpful too.

On the Historical Association between NationalIQ and GDP per Capita

2021 ◽  
Author(s):  
Nassim Dehouche
Keyword(s):  
Genetic Factor ◽  
Ad Hoc ◽  
Historical Data ◽  
World Order ◽  
National Average ◽  
Gdp Per Capita ◽  
The World ◽  
Per Capita ◽  
Wealth Of Nations ◽  
Domestic Products

A remarkable, unquestioned assumption in studies measuring the association between national average Intellectual Quotients (IQ) and Gross Domestic Products (GDP) per capita is that a supposedly immutable genetic factor (IQ) may be correlated with a markedly fluctuant one (the wealth of nations). Using historical GDP per capita data produced by the Maddison project, we find that, over history, the (Pearson productmoment) correlation coefficient (r) between average IQ and GDP per capita is highly variable and ranges from strong negative values to strong positive values. The correlation between national IQ and GDP per capita is thus a snapshot of the world order at some point in time, and historical data allow us to identify several other eras. Moreover, global GDP at any point in time is never difficult to predict in the first place. We show that arbitrary ad-hoc scores based on a country’s continental location present a more significant correlation with contemporary GDP per capita. We conclude this paper by a call to clarify the purpose of IQ studies in Macroeconomics and for the consideration of GDP as a time-series in this line of research.

1. Hope

2017 ◽  
pp. 1-10
Author(s):  
Craig Jeffrey
Keyword(s):  
Information Technology ◽  
Foreign Policy ◽  
Middle Class ◽  
Social Inequalities ◽  
Economic Reforms ◽  
Gdp Per Capita ◽  
Major Power ◽  
The World ◽  
Global Player ◽  
Per Capita

India is the fastest growing major economy in the world with a large and rapidly growing middle class. It has established an identity as a major power in terms of Information Technology and has become a global player in terms of foreign policy. Despite this, however, India has a GDP per capita below that of Sudan. Economic reforms in India have widened social inequalities across the subcontinent. Poverty, inequality, and exclusion in contemporary India are the norm for many ordinary Indians. But there is hope. These hopes are not only economic, but also social and political—people have an awareness of rights and their entitlements as citizens.

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