A major concern when discussing global inequality is how to avoid an ethnocentric bias implying that less-developed nations want to be like those who’ve attained post-industrial global power. Terms such as developing (nonindustrialized) and developed (industrialized) imply that unindustrialized countries are somehow inferior, and must improve to participate successfully in the global economy, a label indicating that all aspects of the economy cross national borders. We must take care how we delineate different countries. Over time, terminology has shifted to make way for a more inclusive view of the world.
Cold War Terminology
Cold War terminology was developed during the Cold War era (1945–1980). Familiar and still used by many, it classifies countries into first world, second world, and third world nations based on their respective economic development and standards of living. When this nomenclature was developed, capitalistic democracies such as the United States and Japan were considered part of the first world. The poorest, most undeveloped countries were referred to as the third world and included most of sub-Saharan Africa, Latin America, and Asia. The second world was the in-between category: nations not as limited in development as the third world, but not as well off as the first world, having moderate economies and standard of living, such as China or Cuba. Later, sociologist Manual Castells (1998) added the term fourth world to refer to stigmatized minority groups that were denied a political voice all over the globe (indigenous minority populations, prisoners, and the homeless, for example).
Also during the Cold War, global inequality was described in terms of economic development. Along with developing and developed nations, the terms less-developed nation and underdeveloped nation were used. This was the era when the idea of noblesse oblige (first-world responsibility) took root, suggesting that the so-termed developed nations should provide foreign aid to the less-developed and underdeveloped nations in order to raise their standard of living.
Immanuel Wallerstein: World Systems Approach
Immanuel Wallerstein’s (1979) world systems approach uses an economic basis to understand global inequality. Wallerstein conceived of the global economy as a complex system that supports an economic hierarchy that placed some nations in positions of power with numerous resources and other nations in a state of economic subordination. Those that were in a state of subordination faced significant obstacles to mobilization.
Core nations are dominant capitalist countries, highly industrialized, technological, and urbanized. For example, Wallerstein contends that the United States is an economic powerhouse that can support or deny support to important economic legislation with far-reaching implications, thus exerting control over every aspect of the global economy and exploiting both semi-peripheral and peripheral nations. We can look at free trade agreements such as the North American Free Trade Agreement (NAFTA) as an example of how a core nation is able to leverage its power to gain the most advantageous position in the matter of global trade.
Peripheral nations have very little industrialization; what they do have often represents the outdated castoffs of core nations or the factories and means of production owned by core nations. They typically have unstable governments, inadequate social programs, and are economically dependent on core nations for jobs and aid. There are abundant examples of countries in this category, such as Vietnam and Cuba. We can be sure the workers in a Cuban cigar factory, for example, which are owned or leased by global core nation companies, are not enjoying the same privileges and rights as U.S. workers.
Semi-peripheral nations are in-between nations, not powerful enough to dictate policy but nevertheless acting as a major source for raw material and an expanding middle-class marketplace for core nations, while also exploiting peripheral nations. Mexico is an example, providing abundant cheap agricultural labor to the U.S., and supplying goods to the United States market at a rate dictated by the U.S. without the constitutional protections offered to United States workers.
World Bank Economic Classification by Income
While the World Bank is often criticized, both for its policies and its method of calculating data, it is still a common source for global economic data.
Along with tracking the economy, the World Bank tracks demographics and environmental health to provide a complete picture of whether a nation is high income, middle income, or low income.
High-Income Nations
The World Bank defines high-income nations as having a gross national income of at least $12,746 per capita. The OECD (Organization for Economic and Cooperative Development) countries make up a group of thirty-four nations whose governments work together to promote economic growth and sustainability. According to the World Bank (2014b), in 2013, the average gross national income (GNI) per capita, or the mean income of the people in a nation, found by dividing total GNI by the total population, of a high-income nation belonging to the OECD was $43,903 per capita and the total population was over one billion (1.045 billion); on average, 81 percent of the population in these nations was urban. Some of these countries include the United States, Germany, Canada, and the United Kingdom (World Bank 2014b).
High-income countries face two major issues: capital flight and deindustrialization. Capital flight refers to the movement (flight) of capital from one nation to another, as when General Motors automotive company closed U.S. factories in Michigan and opened factories in Mexico. Deindustrialization, a related issue, occurs as a consequence of capital flight, as no new companies open to replace jobs lost to foreign nations. As expected, global companies move their industrial processes to the places where they can get the most production with the least cost, including the building of infrastructure, training of workers, shipping of goods, and, of course, paying employee wages. This means that as emerging economies create their own industrial zones, global companies see the opportunity for existing infrastructure and much lower costs. Those opportunities lead to businesses closing the factories that provide jobs to the middle class within core nations and moving their industrial production to peripheral and semi-peripheral nations.
Middle-Income Nations
The World Bank defines middle-income economies areas those with a GNI per capita of more than $1,045 but less than $12,746. According to the World Bank (2014), in 2013, the average GNI per capita of an upper middle income nation was $7,594 per capita with a total population of 2.049 billion, of which 62 percent was urban. Thailand, China, and Namibia are examples of middle-income nations (World Bank 2014a).
Perhaps the most pressing issue for middle-income nations is the problem of debt accumulation. As the name suggests, debt accumulation is the buildup of external debt, wherein countries borrow money from other nations to fund their expansion or growth goals. As the uncertainties of the global economy make repaying these debts, or even paying the interest on them, more challenging, nations can find themselves in trouble. Once global markets have reduced the value of a country’s goods, it can be very difficult to ever manage the debt burden. Such issues have plagued middle-income countries in Latin America and the Caribbean, as well as East Asian and Pacific nations (Dogruel and Dogruel 2007). By way of example, even in the European Union, which is composed of more core nations than semi-peripheral nations, the semi-peripheral nations of Italy and Greece face increasing debt burdens. The economic downturns in both Greece and Italy still threaten the economy of the entire European Union.
Low-Income Nations
The World Bank defines low-income countries as nations whose per capita GNI was $1,045 per capita or less in 2013. According to the World Bank (2014a), in 2013, the average per capita GNI of a low-income nation was $528 per capita and the total population was 796,261,360, with 28 percent located in urban areas. For example, Myanmar, Ethiopia, and Somalia are considered low-income countries. Low-income economies are primarily found in Asia and Africa (World Bank 2014a), where most of the world’s population lives. There are two major challenges that these countries face: women are disproportionately affected by poverty (in a trend toward a global feminization of poverty) and much of the population lives in absolute poverty.
Further Research
To learn more about the existence and impact of global poverty, peruse the data at The World Bank Povery & Equity Data.
Think It Over
Why do you think some scholars find Cold War terminology (“first world” and so on) objectionable?
Give an example of the feminization of poverty in core nations. How is it the same or different in peripheral nations?
Practice
1. A sociologist who focuses on the way that multinational corporations headquartered in core nations exploit the local workers in their peripheral nation factories is using a _________ perspective to understand the global economy.
- functional
- conflict theory
- feminist
- symbolic interactionist
- Global
- Core
- Semi-peripheral
- Peripheral
3. In the past, the United States manufactured clothes. Many clothing corporations have shut down their U.S. factories and relocated to China. This is an example of:
- conflict theory
- OECD
- global inequality
- capital flight
Self-Check: Global Stratification
You’ll have more success on the Self-Check, if you’ve completed the four Readings in this section.
Candela Citations
- Self-Check: Global Stratification. Authored by: Cathy Matresse and Lumen Learning.. Provided by: Lumen Learning. License: CC BY: Attribution
- Introduction to Sociology 2e. Authored by: OpenStax CNX. Located at: http://cnx.org/contents/02040312-72c8-441e-a685-20e9333f3e1d/Introduction_to_Sociology_2e. License: CC BY: Attribution. License Terms: Download for free at http://cnx.org/contents/02040312-72c8-441e-a685-20e9333f3e1d@3.49