Taxes and bribes: assessing the extraction burden in orderly and disorderly societies

2003 ◽  
Vol 11 (3) ◽  
pp. 365-383 ◽  
Author(s):  
DANIEL TARSCHYS
Keyword(s):  
Transaction Costs ◽  
Oecd Countries ◽  
Gdp Per Capita ◽  
Breeding Ground ◽  
Composite Measure ◽  
Doing Business ◽  
The World ◽  
Per Capita ◽  
Push Up

Countries with a low GDP per capita generally have a much lower fiscal quota than OECD countries, but many other factors push up the transaction costs in poor economies. High-tax societies provide more security, predictability and organizational discipline. The absence of such conditions is a powerful breeding-ground for corruption. If fiscal payments and bribes are added up to arrive at a composite measure of the ‘extraction burden’ in different countries, we might find that the costs of doing business do not diverge so much in various parts of the world.

scholarly journals INSTITUTIONAL FACTORS OF ECONOMIC PERFORMANCE: EVIDENCE FROM THE WORLD VALUE SURVEY

2021 ◽  
Vol 7 (2) ◽  
pp. 146-160
Author(s):  
Andriy Maksymuk ◽  
Nataliya Kuzenko
Keyword(s):  
Regression Analysis ◽  
Oecd Countries ◽  
High Income ◽  
Institutional Factors ◽  
Gdp Per Capita ◽  
Strong Positive Correlation ◽  
Middle Income ◽  
The World ◽  
Per Capita ◽  
The Impact

This article highlights the impact of values on the country’s welfare. Values that are quite constant over a long period of time form an institutional framework within the country. They can contribute to economic development or even prevent it. The aim of the article is to explore, what is the influence of social values, democracy and trade on welfare levels in different counties. The hypothesis is that the dominance in society of secular-rational values and the values of self-expression, democracy and trade (openness to the world) have a positive effect on the level of welfare of countries. The empirical part of the paper is based on the comparative analysis of relationship between GDP per capita and four values such as tolerance and respect, obedience, trust and freedom of choice for two waves of WVS – 2005-2009 and 2010-2014. Using correlation and regression analysis, the relationships between these indicators were evaluated. These values have a positive impact on welfare in OECD countries, some countries of Latin America, Asia and Africa with middle income per capita. However, there is a negative relationship between obedience and GDP per capita. This value is more important for some African and Asian countries and India. The relationship between GDP per capita and the aggregate value index showed a strong positive correlation for OECD countries. Then the regression model was estimated to assess the impact of values, trade and level of democracy on welfare growth and development. The results of the regression analysis showed a significant effect of the aggregated value indicator for all six samples, but this effect is weaker for high-income countries. The effect of the level of democracy is significant and positive only for the sub-sample of democratic countries, while it is negative for high-income countries. The effect of the level of trade on GDP per capita is statistically significant for the sample of all countries, the sub-sample of non-democratic countries and the sub-sample of high income and upper-middle income countries. Thus, we conclude that the institutional factors (the values and the level of democracy) are important determinants of GDP per capita for democratic countries while for non-democratic countries trade is more important.

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.

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

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.

REDUCING INCOME INEQUALITY WHILE BOOSTING ECONOMIC GROWTH: CAN IT BE DONE? EVIDENCE FROM OECD COUNTRIES

2014 ◽  
Vol 59 (01) ◽  
pp. 1450001 ◽  
Author(s):  
PETER HOELLER ◽  
ISABELLE JOUMARD ◽  
ISABELL KOSKE
Keyword(s):  
Economic Growth ◽  
Labor Market ◽  
Income Inequality ◽  
Oecd Countries ◽  
Gdp Per Capita ◽  
Labor Market Institutions ◽  
Policy Reforms ◽  
Market Institutions ◽  
Trade Off ◽  
Per Capita

This paper identifies inequality patterns across Organisation for Economic Co-operation and Development (OECD) countries and provides new analysis of their policy and non-policy drivers. One key finding is that education and anti-discrimination policies, well-designed labor market institutions and large and/or progressive tax and transfer systems can all reduce income inequality. On this basis, the paper identifies several policy reforms that could yield a double dividend in terms of boosting GDP per capita and reducing income inequality, and also flags other policy areas where reforms would entail a trade-off between both objectives.

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.

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