International inequality

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Countries or territories by GDP (PPP) per capita in 2023 Map of countries by GDP (PPP) per capita in 2023 update 2.svg
Countries or territories by GDP (PPP) per capita in 2023
Global share of wealth by wealth group, Credit Suisse, 2021 Global Wealth Distribution 2020 (Property).svg
Global share of wealth by wealth group, Credit Suisse, 2021

International inequality refers to inequality between countries, as compared to global inequality, which is inequality between people across countries. International inequality research has primarily been concentrated on the rise of international income inequality, but other aspects include educational and health inequality, [1] as well as differences in medical access. Reducing inequality within and among countries is the 10th goal of the UN Sustainable Development Goals and ensuring that no one is left behind is central to achieving them. [2] Inequality can be measured by metrics such as the Gini coefficient.

Contents

According to the United Nations Human Development Report 2004, the gross domestic product (GDP) per capita in countries with high, medium and low human development (a classification based on the UN Human Development Index) was 24,806, 4,269 and 1,184 PPP$, respectively (PPP$ = purchasing power parity measured in United States dollars). [3]

Proposed explanations

Differences in economic institutions

Economic institutions such as competitive markets, credible contracts and systems of property rights allow economic agents to pursue the economic activities which form the basis of growth. It has been argued that the presence or absence of strong economic institutions is a primary determinant of development. Economists have begun to consider the set of economic institutions adopted by countries as a choice that is in turn determined endogenously by competing social forces.

According to this theory the differences in economic institutions arise as a consequential effect of the difference in political institutions. In their paper “Paths of Economic and Political Development [4] Acemoglu and Robinson discuss the intertwined nature of economic institutions to political ones. The authors conclude that although economic institutions are the key factor to final economic outcomes, they are an endogenous one. Meaning economic institutions are determined by political institutions and the distribution of resources. [5] They identify the above mentioned as the “two main state variables”. [6] Accordingly, we find the political institutions to affect economic institutions both directly and indirectly (de jure & de facto power). Connecting to the issue of international inequality, the distribution of resources is identified as the main conflicting point. As the distribution of resources is complex it leads to opposing entities in a country not being able to agree on a set of economic institutions that maximize “aggregate growth” [7] and thus making some countries fall behind. Simply proving the influence of political institutions on economic ones and with that the development of a country. The main conclusion the authors arrive at is that the economic institutions which promote prosperity are conditioned on a foundation of democratic political institutions.

Others on the other hand have argued that a country's success is related to the tradeoff between “dictatorship and disorder”. Dyankov et al in “The New Comparative Economics” [8] discusses this idea and uses the IPF (institutional Possibility Frontier) [8] to measure the optimal points of dictatorship vs disorder trade off in individual countries. The idea of new comparative economics focuses on comparing the differences in institutions of capitalism in different countries. [8] The new reforms to market economy and democracy have been different in each specific country and thus have reached different levels of efficiency. This can than manifest in the final outcome we call International inequality. According to Dyankov Institutions are made and work to control the “twin dangers” [8] of disorder and dictatorship. Coase (1960), also argues that "no rules are fully enforced, and no institution fully eliminates the transaction costs of dictatorship and disorder". [8] The IPF as a system can help to discuss the alternative forms of social control of business. It helps determine the efficient choice by finding the shape and location of a countries IPF on an axis of social loses of dictatorship versus the social losses of disorder. In the end the location of the IPF shows a countries “civic capital” [8] or the institutional possibility of a given society in order to reach its optimum. Many now argue that this study is most relevant to our modern-day capitalist society in order to impose efficient institutional design depending on a country's specific characteristics.

Gross domestic product in 2011 US dollars per capita, adjusted for inflation and purchasing power parity (log scale) from 1860 to 2011, with population (disk area) for the US (yellow), UK (orange), Japan (red), China (red), and India (blue). Globalization-5.png
Gross domestic product in 2011 US dollars per capita, adjusted for inflation and purchasing power parity (log scale) from 1860 to 2011, with population (disk area) for the US (yellow), UK (orange), Japan (red), China (red), and India (blue).

In a widely cited paper by Daron Acemoglu, Simon Johnson and James A. Robinson, the authors concluded that the majority of present-day inequality among former European colonies can be attributed to the persisting role of economic institutions. Describing European colonization as a "natural experiment," they argued that colonizers who encountered dense populations with developed economies such as in Central America and India were incentivized to impose extractive economic institutions, while colonizers who encountered sparse populations with few natural resources such as in North America were more likely to institute broad-based property rights. This resulted in a "reversal of fortune" around 1800 as regions which were under-developed at the time of colonization were able to industrialize more effectively.

Path dependence

In the context of development, path dependence is the idea that certain points in history may have an outsized and persistent impact on the long-term economic and political character of nations. These points may produce outcomes that induce positive feedback and are therefore difficult to reverse. Political scientist James Mahoney has examined the political consequences of a period of liberal reform in Central America during the 19th and early 20th centuries, and argued that whether policies were implemented along radical or reformist guidelines directly determined the success of the liberalization efforts and ultimately resulted in vastly different political outcomes which persisted for decades, ranging from military authoritarian regimes (Guatemala and El Salvador) to progressive democracy (Costa Rica).

The Dualistic-Development Thesis

Another concept of international inequality in the context of development can be found in the notion of dualism in the world, understood as "the coexistence of two situations or phenomena (one desirable and the other not) that are mutually exclusive to different groups of [international] society — for example, extreme poverty and affluence, modern and traditional economic sectors, growth and stagnation, and higher education among a few amid large-scale illiteracy." one can find the trace of dualistic society in structural-change as well as international-dependence theories. This concept demonstrates how the gap between the poor and the rich in the global world is persistent if not steadily increasing. There are four key arguments in this thesis;

The dualism-development thesis rejects the traditional neoclassical and empirical theories that put the blame of poverty and inequality merely on internal factors and the political culture of these poor countries. It also refutes the recommendations given and forced upon developing countries. Instead, it focuses on external and international factors such as international dependence on economics, finance, and trading, and forces that might not have given birth to international inequality, but surely have played an important role in keeping the gap open and wide. Therefore, this doctrine suggests fundamental economic, political, and institutional reforms not only on the regional and domestic levels but also on global and foreign levels.

However, there are criticisms about this type of thesis. First, although it indicates a logical and well-founded explanation regarding international inequality, it lacks a comprehensive solution to the said problem. Second, the number of successful fundamental reforms in many of the concerned countries largely did not showcase significant progress and decrease in the overall state of inequality, whether in domestic or foreign levels. [10]

Other explanations

Multiple other causes of international inequality have been proposed, such as:

International inequality during COVID-19

The worsening of inequality is considered the most significant outcome of COVID-19. [15] The pandemic has had the greatest impact on vulnerable groups such as the elderly, people with disabilities, children, women and refugees, low-income people, youth, and informal workers. [16] The research and measures of the World Bank, say that "Covid-19 has increased inequality in nearly every sphere: in the availability of vaccines, in economic growth rates, in access to education and health care, and the scale of job and income losses". [17] Between 2020 and 2021 global billionaire wealth grew by $4.4 trillion but at the same time, more than 100 million people fell below the poverty line. [15]

Impact on the labor market

COVID-19 caused the change of view in providing certain activities, goods and services, and certain production processes. They are considered to be riskier and costlier. Staff shortages and breaks of working activity because of compulsory quarantines of Covid-positive workers are the reason for the replacement of the human labor force with robots. Robots are easily managed, don't need masks, can be easily disinfected, and don't get sick. [18] The threat of automation has spread to the work of low-skilled, person-to-person service workers. Before the pandemic, these jobs were seen by literature as less affected – for example, in health and education. New labor market uncertainty brings a decrease in the demand for certain types of labor. This shift consequently causes an increase in inequality. [19] Another inequality was visible after the beginning of lockdowns. Millions of newly unemployed joined the long queues for social security benefits. [20] The loss of jobs differs by the nature of the job. Tourism, gastronomy, recreational services and accommodation, airlines, and industries that rely on personal interactions have been the hardest hit. [21] Lockdown rules and social distance requirements limited employees. The inability of workers to work from home deprived a lot of them of their jobs.

Inequality in access to healthcare

COVID-19 is the biggest health crisis in a century. Not only were poor countries with weak health care systems hard-hit, but also economically strong and developed rich countries. America is considered the most hit country in a term of unequal access to resources and health services. [22] One of the reasons for their highest number of cases and deaths is their worst average healthcare standards among the major developed economies. [19] The poorest suffer from the lack of a universal healthcare system and high prices of medicaments (and for health care, in general) the most. Many Americans skipped testing to know if they are infected because of the high price of tests. They went to work, spreading the virus mostly among those, who could not have a home office. After being infected, they could not afford to buy medicament or to search for medical help since they have no insurance. [15]

Inequality in the distribution of vaccines

COVID-19 Vaccination per 100 People by World Bank Income Group Covid 19 vaccination.png
COVID-19 Vaccination per 100 People by World Bank Income Group

The development, production, and distribution of vaccines was a scientific, political, and economic triumph seeing that it was relatively quick. However, despite having the technology and the resources, the society failed to raise vaccine supply and distribute enough doses in poor countries. [15] "As of October 1st, 2021, the highest-income countries—as classified by the World Bank—had a per-capita vaccination rate of 125.3 vaccinations per 100 people, representing nearly 3-fold higher than the rate for lower-middle-income countries of 45.3 per 100, and 30-fold higher than lower-income countries with 4.2 per 100." [23] Also, the efficacy varied between distributed vaccines. They are more likely to be a lower efficacy on average in lower-income locations. Sputnik, Sinopharm, and Janssen vaccines are mostly used in low and middle-income countries with lower efficacy against new variants of virus compared to vaccines from Pfizer and Moderna – used mainly in higher-income areas. [23]

Inequality in education

The control measures introduced around the world to curb the spread of the virus had a considerable impact on education. By April 2020, an unprecedented 1.4 billion students were shut out of their pre-primary, primary, and secondary schools in more than 190 countries and the classroom present education had moved to online distance learning. [24] The number and duration of periods of school closures have varied across countries. Inequalities were observable in the extent to which their learning is supported by their family and home environment background. Lack of opportunities, tools, or access to affordable, reliable internet connections were daily problems to deal with. [25] Children from low-income families were more likely to be excluded from online distance learning because of an inability to afford sufficient internet or devices. [24]

Another dimension of inequality relevant to distance learning is the one between low- and high-achieving students. Education from home implies a large amount of self-regulated learning where students must independently acquire and understand the academic content without the support of teachers. This self-regulated learning may be feasible for high-achieving students, but it may be especially challenging for low-achieving students and for students with special needs. [26]

In addition, in some countries, girls have faced widespread discrimination in access to education and to the internet. Society was much more likely to expect them to take on a greater burden in the household during distance learning than boys. In developing and poor countries girls who were out of school were at greater risk than boys of facing abuses such as child marriage and other forms of gender-based violence. [24]

International wealth distribution

Between 1820 and 2000, global income inequality increased with almost 50%. However, this change occurred mostly before 1950. Afterwards, the level of inequality remained mostly stable. It is important to differentiate between between-country inequality, which was the driving force for this pattern, and within country inequality, which remained largely constant. [27]

Countries by total wealth (trillions USD), Credit Suisse Countries by total wealth (trillions USD), Credit Suisse.png
Countries by total wealth (trillions USD), Credit Suisse
Change in real income between 1988 and 2008 at various income percentiles of global income distribution, known as the Elephant Curve. Global changes in real income by income percentile - v1.png
Change in real income between 1988 and 2008 at various income percentiles of global income distribution, known as the Elephant Curve.

Global income inequality peaked approximately in the 1970s, when world income was distributed bimodally into "rich" and "poor" countries with little overlap. Since then, inequality has been rapidly decreasing, and this trend seems to be accelerating. Income distribution is now unimodal, with most people living in middle-income countries. [29]

As of 2000, a study by the World Institute for Development Economics Research at United Nations University found that the richest 1% of adults owned 40% of global assets, and that the richest 10% of adults accounted for 85% of the world total. The bottom half of the world adult population owned barely 1% of global wealth. Oxfam International reported that the richest 1 percent of people owned 48 percent of global wealth As of 2013, [30] and would own more than half of global wealth by 2016. [31] In 2014, Oxfam reported that the 85 wealthiest individuals in the world had a combined wealth equal to that of the bottom half of the world's population, or about 3.5 billion people. [32] [33] [34] [35] [36]

As of 2001, the major component of the world's income inequality (the global Gini coefficient) was comprised by two groups of countries (called the "twin peaks" by Quah [1997]). The first group has 13% of the world's population and receives 45% of the world's PPP income. This group includes the United States, Japan, Germany, the United Kingdom, France, Australia and Canada, and comprises 500 million people with an annual income level over 11,500 PPP$. The second group has 42% of the world's population and receives only 9% of the world PPP income. This group includes India, Indonesia and rural China, and comprises 2.1 billion people with an income level under 1,000 PPP$. [37]

In terms of between country inequality, between 1820 and 2000, Latin America, Africa and the middle east almost always had a higher average Gini coefficient than Europe, implying a higher level of inequality. Asia was usually below average. [27]

As of 2017, over 70% of the world's adults had under $10,000 in wealth. Only 0.7% of the world had one million dollars or more in wealth, but this number is increasing. [38] As of 2008, there were 1,125 billionaires (in US dollars) who owned $4.4 trillion in assets. [39] As of 2006, the total value of global assets was about $125 trillion. [40]

The evolution of the income gap between poor and rich countries is related to convergence. Convergence can be defined as "the tendency for poorer countries to grow faster than richer ones and, hence, for their levels of income to converge". [41]

Social welfare spending

Overall, social spending is lower in the Global South, with some regions registering just a few percentage points of GDP. [42]

Proposed solutions

Potential approaches to decrease inequality include:

Research has stressed the need to address inequality with a multi-pronged approach, including taxation reform and curbing excesses associated with financial deregulation, country-specific circumstances, and potential trade-offs with other policy objectives. [49]

See also

Related Research Articles

<span class="mw-page-title-main">Gini coefficient</span> Measure of inequality of a distribution

In economics, the Gini coefficient, also known as the Gini index or Gini ratio, is a measure of statistical dispersion intended to represent the income inequality, the wealth inequality, or the consumption inequality within a nation or a social group. It was developed by Italian statistician and sociologist Corrado Gini.

<span class="mw-page-title-main">Poverty</span> Lack of financial assets or possessions

Poverty is a state or condition in which an individual lacks the financial resources and essentials for a certain standard of living. Poverty can have diverse environmental, legal, social, economic, and political causes and effects. When evaluating poverty in statistics or economics there are two main measures: absolute poverty which compares income against the amount needed to meet basic personal needs, such as food, clothing, and shelter; secondly, relative poverty measures when a person cannot meet a minimum level of living standards, compared to others in the same time and place. The definition of relative poverty varies from one country to another, or from one society to another.

Wealth is the abundance of valuable financial assets or physical possessions which can be converted into a form that can be used for transactions. This includes the core meaning as held in the originating Old English word weal, which is from an Indo-European word stem. The modern concept of wealth is of significance in all areas of economics, and clearly so for growth economics and development economics, yet the meaning of wealth is context-dependent. A person possessing a substantial net worth is known as wealthy. Net worth is defined as the current value of one's assets less liabilities.

<span class="mw-page-title-main">Economic inequality</span> Distribution of income or wealth between different groups

Economic inequality is an umbrella term for a) income inequality or distribution of income, b) wealth inequality or distribution of wealth, and c) consumption inequality. Each of these can be measured between two or more nations, within a single nation, or between and within sub-populations.

<span class="mw-page-title-main">Income distribution</span> How a countrys total GDP is distributed amongst its population

In economics, income distribution covers how a country's total GDP is distributed amongst its population. Economic theory and economic policy have long seen income and its distribution as a central concern. Unequal distribution of income causes economic inequality which is a concern in almost all countries around the world.

<span class="mw-page-title-main">Distribution of wealth</span> Spread of wealth in a society

The distribution of wealth is a comparison of the wealth of various members or groups in a society. It shows one aspect of economic inequality or economic heterogeneity.

<span class="mw-page-title-main">Development geography</span>

Development geography is a branch of geography which refers to the standard of living and its quality of life of its human inhabitants. In this context, development is a process of change that affects peoples' lives. It may involve an improvement in the quality of life as perceived by the people undergoing change. However, development is not always a positive process. Gunder Frank commented on the global economic forces that lead to the development of underdevelopment. This is covered in his dependency theory.

<span class="mw-page-title-main">Geography and wealth</span>

Geography and wealth have long been perceived as correlated attributes of nations. Scholars such as Jeffrey D. Sachs argue that geography has a key role in the development of a nation's economic growth.

<span class="mw-page-title-main">Income inequality in the United States</span>

Income inequality has fluctuated considerably in the United States since measurements began around 1915, moving in an arc between peaks in the 1920s and 2000s, with a 30-year period of relatively lower inequality between 1950 and 1980.

<span class="mw-page-title-main">Social inequality</span> Uneven distribution of resources in a society

Social inequality occurs when resources within a society are distributed unevenly, often as a result of inequitable allocation practices that create distinct unequal patterns based on socially defined categories of people. Differences in accessing social goods within society are influenced by factors like power, religion, kinship, prestige, race, ethnicity, gender, age, sexual orientation, intelligence and class. Social inequality usually implies the lack of equality of outcome, but may alternatively be conceptualized as a lack of equality in access to opportunity.

<span class="mw-page-title-main">Wealth inequality in the United States</span>

The inequality of wealth has substantially increased in the United States in recent decades. Wealth commonly includes the values of any homes, automobiles, personal valuables, businesses, savings, and investments, as well as any associated debts.

Redistribution of income and wealth is the transfer of income and wealth from some individuals to others through a social mechanism such as taxation, welfare, public services, land reform, monetary policies, confiscation, divorce or tort law. The term typically refers to redistribution on an economy-wide basis rather than between selected individuals.

<span class="mw-page-title-main">Causes of poverty</span>

The causes of poverty may vary with respect to nation, region, and in comparison with other countries at the global level. Yet, there is a commonality amongst these causes. Philosophical perspectives and especially historical perspectives, including some factors at a micro and macro level can be considered in understanding these causes.

<span class="mw-page-title-main">Income inequality in India</span>

Income inequality in India refers to the unequal distribution of wealth and income among its citizens. According to the CIA World Factbook, the Gini coefficient of India, which is a measure of income distribution inequality, was 35.2 in 2011, ranking 95th out of 157. Wealth distribution is also uneven, with one report estimating that 54% of the country's wealth is controlled by millionaires, the second highest after Russia, as of November 2016. The richest 1% of Indians own 58% of wealth, while the richest 10% of Indians own 80% of the wealth. This trend has consistently increased, meaning the rich are getting richer much faster than the poor, widening the income gap. Inequality worsened since the establishment of income tax in 1922, overtaking the British Raj's record of the share of the top 1% in national income, which was 20.7% in 1939–40. According to Oxfam India's report of 2023, "Survival of the Richest: India Story," just 5 per cent of Indians own more than 60 per cent of the country's wealth, while the bottom 50 per cent of the population possess only 3 per cent of the wealth. It also says that between 2012 and 2021, 40% of wealth generated in India has gone to just 1% of the total population and 3% of the wealth has gone to bottom 50%. The number of hungry Indians increased to 350 million in 2022 from 190 million in 2018, while the number of billionaires has increased from 102 in 2020 to 166 in 2022. The covid pandemic reduced the income of the poor, but the wealthy did well. The combined wealth of India's 100 richest is now above $600 billion, which is equivalent to India's Union Budget for 18 months. According to Union Government 's own submission to Supreme Court of India, widespread hunger has caused 65% of deaths of children under the age of 5 in 2022. Saurabh Mukherjee, the founder and CIO of Marcellus Investment Managers, along with his colleague Nandita Rajhansa, has coined the term "Octopus Class" to depict 2 lakh families or around 1 million people in India who control 80% of India's wealth. This class has consolidated financial, social and political power and has continuously pushed its 'tentacles' in every profitable activity they are interested in, aided by liberalisation and consequent growth of globalised economy since 1991.

<i>The Blu Ribbon Revolution</i> Book by Viswanathan Manikan

The Blu Ribbon Revolution: Co-creating a World Beyond Poverty (ISBN 978-93-5053-306-2) is a book by the Winner of the 2012 Dubai Cares Award and community activist Viswanathan Manikan.

<span class="mw-page-title-main">Effects of economic inequality</span>

Effects of income inequality, researchers have found, include higher rates of health and social problems, and lower rates of social goods, a lower population-wide satisfaction and happiness and even a lower level of economic growth when human capital is neglected for high-end consumption. For the top 21 industrialised countries, counting each person equally, life expectancy is lower in more unequal countries. A similar relationship exists among US states.

<span class="mw-page-title-main">Wealth inequality in Latin America</span>

Wealth inequality in Latin America and the Caribbean refers to economic discrepancies among people of the region. A report release in 2013 by the UN Department of Economic and Social Affairs entitled Inequality Matters. Report of the World Social Situation, observed that: ‘Declines in the wage share have been attributed to the impact of labour-saving technological change and to a general weakening of labour market regulations and institutions. Such declines are likely to affect individuals in the middle and bottom of the income distribution disproportionately, since they rely mostly on labour income.’ In addition, the report noted that ‘highly-unequal land distribution has created social and political tensions and is a source of economic inefficiency, as small landholders frequently lack access to credit and other resources to increase productivity, while big owners may not have had enough incentive to do so.

World Inequality Database (WID), previously The World Wealth and Income Database, also known as WID.world, is an extensive, open and accessible database "on the historical evolution of the world distribution of income and wealth, both within countries and between countries".

References

  1. Goesling, Brian; Baker, David P. (June 2008). "Three faces of international inequality". Research in Social Stratification and Mobility. 26 (2): 183–198. doi:10.1016/j.rssm.2007.11.001.
  2. "Goal 10 | Department of Economic and Social Affairs". sdgs.un.org. Retrieved 10 April 2021.
  3. "Archived copy". Archived from the original on 8 June 2007. Retrieved 6 December 2005.{{cite web}}: CS1 maint: archived copy as title (link)
  4. academic.oup.com https://academic.oup.com/edited-volume/44403/chapter-abstract/373581655?redirectedFrom=fulltext . Retrieved 29 April 2024.{{cite web}}: Missing or empty |title= (help)
  5. Oviedo de Valeria, Jenny (2 August 1994). "http://www.revista-educacion-matematica.org.mx/descargas/vol6/vol6-2/vol6-2-5.pdf". Educación matemática. 6 (2): 73–86. doi:10.24844/em0602.06. ISSN   2448-8089.{{cite journal}}: External link in |title= (help)
  6. Oviedo de Valeria, Jenny (2 August 1994). "http://www.revista-educacion-matematica.org.mx/descargas/vol6/vol6-2/vol6-2-5.pdf". Educación matemática. 6 (2): 73–86. doi:10.24844/em0602.06. ISSN   2448-8089.{{cite journal}}: External link in |title= (help)
  7. Oviedo de Valeria, Jenny (2 August 1994). "http://www.revista-educacion-matematica.org.mx/descargas/vol6/vol6-2/vol6-2-5.pdf". Educación matemática. 6 (2): 73–86. doi:10.24844/em0602.06. ISSN   2448-8089.{{cite journal}}: External link in |title= (help)
  8. 1 2 3 4 5 6 Djankov, Simeon; Glaeser, Edward; La Porta, Rafael; Lopez-de-Silanes, Florencio; Shleifer, Andrei (December 2003). "The new comparative economics". Journal of Comparative Economics. 31 (4): 595–619. doi:10.1016/j.jce.2003.08.005. hdl: 10419/61810 . ISSN   0147-5967.
  9. Graph: Gapminder.org
  10. P. Todaro - C. Smith, Michael - Stephen (29 April 2024). Economic Development (12th ed.). Pearson. pp. 133–135. ISBN   978-0-13-340678-8.
  11. Mackellar, Landis; Wörgötter, Andreas; Wörz, Julia (January 2000). "Economic Development Problems of Landlocked Countries". Reihe Transformationsökonomie.
  12. Faye, Michael L.; McArthur, John W.; Sachs, Jeffrey D.; Snow, Thomas (March 2004). "The Challenges Facing Landlocked Developing Countries". Journal of Human Development. 5 (1): 31–68. doi:10.1080/14649880310001660201. S2CID   10442596.
  13. Herrendorf, Berthold; Valentinyi, Ákos (April 2012). "Which Sectors Make Poor Countries so Unproductive?" (PDF). Journal of the European Economic Association. 10 (2): 323–341. doi:10.1111/j.1542-4774.2011.01062.x.
  14. "Archived copy" (PDF). Archived from the original (PDF) on 15 September 2021. Retrieved 13 January 2021.{{cite web}}: CS1 maint: archived copy as title (link)
  15. 1 2 3 4 "COVID Has Made Global Inequality Much Worse". Scientific American . March 2022.
  16. "COVID-19 and Global Income Inequality".
  17. "COVID-19 and Rising Inequality".
  18. "How Robots Became Essential Workers in the COVID-19 Response". 30 September 2020.
  19. 1 2 "COVID-19 and Global Inequality – IMF F&D".
  20. Scheiber, Noam; Schwartz, Nelson D.; Hsu, Tiffany (27 March 2020). "'White-Collar Quarantine' over Virus Spotlights Class Divide". The New York Times.
  21. "Update: Which firms and industries have been most affected by Covid-19?".
  22. Etienne, Carissa F. (January 2022). "COVID-19 has revealed a pandemic of inequality". Nature Medicine. 28 (1): 17. doi: 10.1038/s41591-021-01596-z . PMID   35039656. S2CID   246032203.
  23. 1 2 Rydland, Håvard Thorsen; Friedman, Joseph; Stringhini, Silvia; Link, Bruce G.; Eikemo, Terje Andreas (23 February 2022). "The radically unequal distribution of Covid-19 vaccinations: a predictable yet avoidable symptom of the fundamental causes of inequality". Humanities and Social Sciences Communications. 9 (1): 1–6. doi: 10.1057/s41599-022-01073-z . hdl: 11250/2981281 . S2CID   247060753.
  24. 1 2 3 Sheppard, Bede (17 May 2021). ""Years Don't Wait for Them": Increased Inequalities in Children's Right to Education Due to the Covid-19 Pandemic". Human Rights Watch.
  25. Darmody, Merike; Smyth, Emer; Russell, Helen (September 2021). "Impacts of the COVID-19 Control Measures on Widening Educational Inequalities". YOUNG. 29 (4): 366–380. doi: 10.1177/11033088211027412 . S2CID   237308756.
  26. Grewenig, Elisabeth; Lergetporer, Philipp; Werner, Katharina; Woessmann, Ludger; Zierow, Larissa (1 November 2021). "COVID-19 and educational inequality: How school closures affect low- and high-achieving students". European Economic Review. 140: 103920. doi:10.1016/j.euroecorev.2021.103920. PMC   8474988 . PMID   34602646.
  27. 1 2 van Zanden, Jan Luiten; Baten, Joerg; Földvari, Peter; van Leeuwen, Bas (2011). "The Changing Shape of Global Inequality 1820-2000: Exploring a new dataset". CGEH Working Paper Series.
  28. Branko Milanovic-Global Income Inequality by the Numbers-In History and Now-February 2013
  29. "Parametric estimations of the world distribution of income". 22 January 2010.
  30. Oxfam: Richest 1 percent sees share of global wealth jump
  31. Cohen, Patricia (19 January 2015). "Richest 1% Likely to Control Half of Global Wealth by 2016, Study Finds". New York Times . Retrieved 19 January 2015.
  32. Rigged rules mean economic growth increasingly "winner takes all" for rich elites all over world. Oxfam. 20 January 2014.
  33. Neuman, Scott (20 January 2014). Oxfam: World's Richest 1 Percent Control Half Of Global Wealth. NPR. Retrieved 25 January 2014.
  34. Stout, David (20 January 2014). "One Stat to Destroy Your Faith in Humanity: The World's 85 Richest People Own as Much as the 3.5 Billion Poorest". Time. Archived from the original on 23 January 2014. Retrieved 21 January 2014.
  35. Wearden, Graeme (20 January 2014). "Oxfam: 85 richest people as wealthy as poorest half of the world". The Guardian. Retrieved 21 January 2014.
  36. Kristof, Nicholas (22 July 2014). "An Idiot's Guide to Inequality". New York Times . Retrieved 22 July 2014.
  37. Milanovic 2001, p. 38
  38. "Global Inequality". Inequality.org.
  39. http://www.spiegel.de: report from 6 March 2008
  40. http://www.spiegel.de: Report at 5 December 2006, www.orf.at: report at 5 December 2006
  41. "Forget Convergence: Divergence Past, Present, and Future - Finance & Development - June 1996". Archived from the original on 10 June 2000.
  42. Glenn, John (2009). "Welfare Spending in an Era of Globalization: The North-South Divide". International Relations. 23 (1): 27–8, 30–1, 36–9, 45–6. doi:10.1177/0047117808100608. S2CID   145077740.
  43. Payne, Richard (2017). Global Issues: Politics, Economics, Culture. Pearson Education Inc. p. 125. ISBN   978-0-13-420205-1.
  44. Schuyler, Michael. "The Impact of Piketty's Wealth Tax on the Poor, the Rich, and the Middle Class" (PDF). Tax Foundation . 225: 17.
  45. "Global Economic Inequality–and What Might Be Done About It". Norwich University Online. Retrieved 10 April 2021.
  46. "Illicit Financial Flows from Developing Countries: 2003-2012 « Global Financial Integrity". 9 August 2017. Archived from the original on 9 August 2017. Retrieved 10 April 2021.
  47. "Income Inequality: Time to Deliver an Adequate Living Wage". Social Protection and Human Rights. Retrieved 10 April 2021.
  48. Herzer, Dierk (2014). "Unions and income inequality: A heterogeneous panel cointegration and causality analysis". EconStor. hdl: 10419/102306 .
  49. Jaumotte, Florence; Buitron, Carolina Osorio (2015). Inequality and labor market institutions. International Monetary Fund, Research Department. ISBN   978-1-5135-2690-4. OCLC   914159875.[ page needed ]

Sources