Material Type:
Module
Provider:
Rice University
Tags:
GDP Per Capita, Neoclassical Determinants of Growth, Purchasing Power Parity, Standards of Living
Language:
English

The Diversity of Countries and Economies across the World

Overview

By the end of this section, you will be able to:
  • Analyze GDP per capita as a measure of the diversity of international standards of living
  • Identify what classifies a country as low-income, middle-income, or high-income
  • Explain how geography, demographics, industry structure, and economic institutions influence standards of living

The national economies that comprise the global economy are remarkably diverse. Let us use one key indicator of the standard of living, GDP per capita, to quantify this diversity. You will quickly see that quantifying this diversity is fraught with challenges and limitations. As we explained in The Macroeconomic Perspective, we must consider using purchasing power parity or “international dollars” to convert average incomes into comparable units. Purchasing power parity, as we formally defined in Exchange Rates and International Capital Flows, takes into account that prices of the same good are different across countries.

The Macroeconomic Perspective explained how to measure GDP, the challenges of using GDP to compare standards of living, and the difficulty of confusing economic size with distribution. In China's case, for example, China ranks as the second largest global economy, second to only the United States, with Japan ranking third. However, when we take China's GDP of $9.2 trillion and divide it by its population of 1.4 billion, then the per capita GDP is only $6,900, which is significantly lower than that of Japan, at $38,500, and that of the United States, at $52,800. Measurement issues aside, it’s worth repeating that the goal, then, is to not only increase GDP, but to strive toward increased GDP per capita to increase overall living standards for individuals. As we have learned from Economic Growth, countries can achieve this at the national level by designing policies that increase worker productivity, deepen capital, and advance technology.

GDP per capita also allows us to rank countries into high-, middle-, or low-income groups. Low-income countries are those with $1,025 per capita GDP per year; middle-income countries have a per capita GDP between $1,025 and $12,475; while high-income countries have over $12,475 per year per capita income. As Table and Figure show, high-income countries earn 68% of world income, but represent just 12% of the global population. Low-income countries earn 1% of total world income, but represent 18.5% of global population.

Ranking based on GDP/capita GDP (in billions) % of Global GDP Population % of Global Population
Low income ($1,025 or less) $612.7 0.8% 1,306,000,000 18.8%
Middle income ($1,025 - $12,475) $23,930 31.7% 4,970,000,000 69.4%
High income (more than $12,475) $51,090,000,000 67.5% 848,700,000 11.8%
World Total income $75,592,941 7,162,119,434
World Income versus Global Population (Source:http://databank.worldbank.org/data/views/reports/tableview.aspx?isshared=true&ispopular=series&pid=20)
The pie charts illustrate the inverse proportionality of global GDP by country to population.
Percent of Global GDP and Percent of Population The pie charts show the GDP (from 2011) for countries categorized into low, middle, or high income. Low-income are those earning less than $1,025 (less than 1% of global income). They represent 18.8% of the world population. Middle-income countries are those with per capita income of $1,025–$12,475 (31.7% of global income). They represent 69.4% of world population. High-income countries have 67.5% of global income and 11.8% of the world’s population. (Source: http://databank.worldbank.org/data/views/reports/tableview.aspx?isshared=true&ispopular=series&pid=20)

An overview of the regional averages of GDP per person for developing countries, measured in comparable international dollars as well as population in 2008 (Figure), shows that the differences across these regions are stark. As Table shows, nominal GDP per capita in 2012 for the 581.4 million people living in Latin America and the Caribbean region was $9,190, which far exceeds that of South Asia and sub-Saharan Africa. In turn, people in the world's high-income nations, such as those who live in the European Union nations or North America, have a per capita GDP three to four times that of the people of Latin America. To put things in perspective, North America and the European Union have slightly more than 9% of the world’s population, but they produce and consume close to 70% of the world’s GDP.

This image is a colored map of the world with only a few areas having high GDPs.
GDP Per Capita in U.S. Dollars (2008) There is a clear imbalance in the GDP across the world. North America, Australia, and Western Europe have the highest GDPs while large areas of the world have dramatically lower GDPs. (Credit: modification of work by Bsrboy/Wikimedia Commons)
Population (in millions) GDP Per Capita
East Asia and Pacific 2,006 $5,536
South Asia 1,671 $1,482
Sub-Saharan Africa 936.1 $1,657
Latin America and Caribbean 588 $9,536
Middle East and North Africa 345.4 $3,456
Europe and Central Asia 272.2 $7,118
Regional Comparisons of Nominal GDP per Capita and Population in 2013 (Source: http://databank.worldbank.org/data/home.aspx)

Such comparisons between regions are admittedly rough. After all, per capita GDP cannot fully capture the quality of life. Many other factors have a large impact on the standard of living, like health, education, human rights, crime and personal safety, and environmental quality. These measures also reveal very wide differences in the standard of living across the regions of the world. Much of this is correlated with per capita income, but there are exceptions. For example, life expectancy at birth in many low-income regions approximates those who are more affluent. The data also illustrate that nobody can claim to have perfect standards of living. For instance, despite very high income levels, there is still undernourishment in Europe and North America.

Economists know that there are many factors that contribute to your standard of living. People in high-income countries may have very little time due to heavy workloads and may feel disconnected from their community. Lower-income countries may be more community centered, but have little in the way of material wealth. It is hard to measure these characteristics of standard of living. The Organization for Economic Co-Operation and Development has developed the “OECD Better Life Index.” Visit this website to see how countries measure up to your expected standard of living.

QR Code representing a URL

The differences in economic statistics and other measures of well-being, substantial though they are, do not fully capture the reasons for the enormous differences between countries. Aside from the neoclassical determinants of growth, four additional determinants are significant in a wide range of statistical studies and are worth mentioning: geography, demography, industrial structure, and institutions.

Geographic and Demographic Differences

Countries have geographic differences: some have extensive coastlines, some are landlocked. Some have large rivers that have been a path of commerce for centuries, or mountains that have been a barrier to trade. Some have deserts, some have rain forests. These differences create different positive and negative opportunities for commerce, health, and the environment.

Countries also have considerable differences in the age distribution of the population. Many high-income nations are approaching a situation by 2020 or so in which the elderly will form a much larger share of the population. Most low-income countries still have a higher proportion of youth and young adults, but by about 2050, the elderly populations in these low-income countries are expected to boom as well. These demographic changes will have considerable impact on the standard of living of the young and the old.

Differences in Industry Structure and Economic Institutions

Countries have differences in industry structure. In the world's high-income economies, only about 2% of GDP comes from agriculture; the average for the rest of the world is 12%. Countries have strong differences in degree of urbanization.

Countries also have strong differences in economic institutions: some nations have economies that are extremely market-oriented, while other nations have command economies. Some nations are open to international trade, while others use tariffs and import quotas to limit the impact of trade. Some nations are torn by long-standing armed conflicts; other nations are largely at peace. There are also differences in political, religious, and social institutions.

No nation intentionally aims for a low standard of living, high rates of unemployment and inflation, or an unsustainable trade imbalance. However, nations will differ in their priorities and in the situations in which they find themselves, and so their policy choices can reasonably vary, too. The next modules will discuss how nations around the world, from high income to low income, approach the four macroeconomic goals of economic growth, low unemployment, low inflation, and a sustainable balance of trade.

Key Concepts and Summary

Macroeconomic policy goals for most countries strive toward low levels of unemployment and inflation, as well as stable trade balances. Economists analyze countries based on their GDP per person and ranked as low-, middle-, and high-income countries. Low-income are those earning less than $1,025 (less than 1%) of global income. They currently have 18.5% of the world population. Middle-income countries are those with per capital income of $1,025–$12,475 (31.1% of global income). They have 69.5% of world population. High-income countries are those with per capita income greater than $12,475 (68.3% of global income). They have 12% of the world’s population. Regional comparisons tend to be inaccurate because even countries within those regions tend to differ from each other.

Self-Check Questions

Using the data in Table, rank the seven regions of the world according to GDP and then according to GDP per capita.

Population (in millions) GDP Per Capita GDP = Population × Per Capita GDP (in millions)
East Asia and Pacific 2,006 $5,536 $10,450,032
South Asia 1,671 $1,482 $2,288,812
Sub-Saharan Africa 936.1 $1,657 $1,287,650
Latin America and Caribbean 588 $9,536 $5,339,390
Middle East and North Africa 345.4 $3,456 $1,541,900
Europe and Central Asia 272.2 $7,118 $1,862,384
GDP and Population of Seven Regions of the World

Hint:

The answers are shown in the following two tables.

Region GDP (in millions)
East Asia $10,450,032
Latin America $5,339,390
South Asia $2,288,812
Europe and Central Asia $1,862,384
Middle East and North Africa $1,541,900
Sub-Saharan Africa $1,287,650
Region GDP Per Capita (in millions)
East Asia $5,246
Latin America $1,388
South Asia $1,415
Europe and Central Asia $9,190
Middle East and North Africa $4,535
Sub-Saharan Africa $6,847

East Asia appears to be the largest economy on GDP basis, but on a per capita basis it drops to third, after Europe and Central Asia and Sub-Saharan Africa.

What are the drawbacks to analyzing the global economy on a regional basis?

Hint:

A region can have some of high-income countries and some of the low-income countries. Aggregating per capita real GDP will vary widely across countries within a region, so aggregating data for a region has little meaning. For example, if you were to compare per capital real GDP for the United States, Canada, Haiti, and Honduras, it looks much different than if you looked at the same data for North America as a whole. Thus, regional comparisons are broad-based and may not adequately capture an individual country’s economic attributes.

Review Questions

What is the primary way in which economists measure standards of living?

What are some of the other ways of comparing the standard of living in countries around the world?

What are the four other factors that determine the economic standard of living around the world?

Critical Thinking Question

Demography can have important economic effects. The United States has an aging population. Explain one economic benefit and one economic cost of an aging population as well as of a population that is very young.

Problems

Retrieve the following data from The World Bank database (http://databank.worldbank.org/data/home.aspx) for India, Spain, and South Africa for the most recent year available:

  • GDP in constant international dollars or PPP
  • Population
  • GDP per person in constant international dollars
  • Mortality rate, infant (per 1,000 live births)
  • Health expenditure per capita (current U.S. dollars)
  • Life expectancy at birth, total (years)

Prepare a chart that compares India, Spain, and South Africa based on the data you find. Describe the key differences between the countries. Rank these as high-, medium-, and low-income countries, explain what is surprising or expected about this data.

References

International Labour Organization. “Global Employment Trends for Youth 2013.” http://www.ilo.org/global/research/global-reports/global-employment-trends/youth/2013/lang--en/index.htm

International Monetary Fund. “World Economic and Financial Surveys: World Economic Outlook—Transitions and Tensions.” Last modified October 2013. http://www.imf.org/external/pubs/ft/weo/2013/02/pdf/text.pdf.

Nobelprize.org. “The Prize in Economics 1987 - Press Release.” Nobel Media AB 2013. Last modified October 21, 1987. http://www.nobelprize.org/nobel_prizes/economic-sciences/laureates/1987/press.html.

Redvers, Louise. BBC News Business. “Youth unemployment: The big question and South Africa.” Last modified October 31, 2012. http://www.bbc.co.uk/news/business-20125053.

The World Bank. “The Complete World Development Report Online.” http://www.wdronline.worldbank.org/.

The World Bank. “World DataBank.” http://databank.worldbank.org/data/home.aspx.

Todaro, Michael P., and Stephen C Smith. Economic Development (11thEdition). Boston, MA: Addison-Wesley: Pearson, 2011, chap. 1–2.