IQ and Global Inequality
This article possibly contains original research. (November 2007) |
IQ and Global Inequality is a controversial 2006 book by Dr. Richard Lynn, Professor Emeritus of Psychology at the University of Ulster, Northern Ireland, and Dr. Tatu Vanhanen, Professor Emeritus of Political Science at the University of Tampere, Tampere, Finland.[1] IQ and Global Inequality is follow-up to their 2002 book IQ and the Wealth of Nations[2], an expansion of the argument that that international differences in current economic development are due in part to differences in average national intelligence as measured by average national IQ, and a response to critics.
As with Lynn's book Race Differences in Intelligence, the book was not published by an academic publisher but by Washington Summit Publishers, which according to Southern Poverty Law Center has also reprinted "a range of classical and modern racist tracts, along with books on eugenics".[3] Nevertheless, Lynn and Vanhanen's research on IQ and economic development has attracted academic attention from several fields, some of it very enthusiastic, some dismissive.[4][5][6][7]
Summary
Chapter 1 summarizes theories of economic growth. Chapter 2 defines and describes intelligence. Chapter 3 argues that the scientific literature indicates that intelligence is a determinant of incomes and related phenomena among individuals within a number of countries. Chapter 4 describes the collection and determination of national IQ, presenting calculated IQs for 113 countries and estimated IQs for an additional 79 countries. This represents all countries with population greater than 40,000. Chapter 5 introduces a new statistic, the quality of human condition index (QHC) and 12 alternative variables that measure human conditions. Chapter 7 focuses on the relationship between national IQ and QHC, which Lynn and Vanhanen report to be strongly correlated. Chapter 8 examines the relationship between national IQ and 12 alternative variables, which Lynn and Vanhanen report are also correlated with national IQ. Chapter 9 discusses the genetic and environmental contributions to differences in national intelligence, and argues that racial composition of the population is a major factor. Chapter 10 considers the causal relationship between national IQ and important variables related to global inequality. Chapter 11 discusses and responds to criticisms made to Lynn and Vanhanen's theory by reviewers. Chapter 12 summarizes the book and discusses policy recommendations.
National IQ and economic development
Quality of human conditions index
The quality of human conditions (QHC) index was computed from five variables.
- purchasing power parity Gross National Income (PPP-GNI) per capita 2002
- adult literacy rate 2002
- gross tertiary enrollment ratio
- life expectancy at birth 2002
- the level of democratization 2002 (Tatu Vanhanen's Index of Democratization)
Values of the index range from 10.7 (Burkina Faso) to 89 (Norway). Lynn and Vanhanen write that they would have preferred to include a sixth measure, an indicator of income inequality, but that statistical data for that variable was not available for all countries. They write that the QHC index differs significantly from other widely used indexes (such as the Human Development Index) in that QHC also measures democratization. Some of their claims have been received support in a 2007 study by Rindermann.[8]
All countries | Estimate IQ (79 countries) |
Total (192 countries) | |
---|---|---|---|
QHC | 0.805 | 0.725 | 0.791 |
PPP GNI per capita 2002 | 0.693 | 0.342 | 0.616 |
Adult literacy rate 2002 | 0.642 | 0.655 | 0.655 |
Tertiary enrollment ratio | 0.746 | 0.699 | 0.745 |
Life expectancy at birth 2002 | 0.765 | 0.690 | 0.750 |
Index of Democratization 2002 | 0.569 | 0.322 | 0.530 |
Excluding smallest countries | Calculated IQ (98 countries) |
Estimate IQ (62 countries) |
Total (160 countries) |
QHC | 0.846 | 0.800 | 0.839 |
PPP GNI per capita 2002 | 0.739 | 0.266 | 0.649 |
Adult literacy rate 2002 | 0.710 | 0.746 | 0.733 |
Tertiary enrollment ratio | 0.778 | 0.734 | 0.780 |
Life expectancy at birth 2002 | 0.833 | 0.753 | 0.817 |
Index of Democratization 2002 | 0.598 | 0.408 | 0.584 |
Other measures of global inequality
The relationship of national IQ to twelve other measures of global inequality were examined.
All twelve measures of global inequality are significantly correlated with the QHC index. Eleven of the twelve measures are significantly correlated with national IQ. The measures of human happiness and life satisfaction are not significantly correlated with national IQ. |
|
Latitude and temperature
Correlation | Latitude | Temperature |
---|---|---|
Degrees latitude | 1 | -0.885 |
Annual mean temperature | -0.885 | 1 |
National IQ | 0.677 | -0.632 |
QHC | 0.659 | -0.562 |
PPP GNI per capita 2002 | 0.528 | -0.407 |
Adult literacy rate 2002 | 0.482 | -0.467 |
Tertiary enrollment ratio | 0.718 | -0.649 |
Life expectancy at birth 2002 | 0.505 | -0.379 |
Index of Democratization 2002 | 0.512 | -0.460 |
National IQ and QHC values
Country | IQ (2002)[2] | IQ (2006)[1] | PPP-GNI per capita 2002[1] | QHC[1] |
---|---|---|---|---|
Hong Kong | 107 | 108 | 27,490 | 60.8 |
Singapore | 103 | 108 | 23,730 | 60.7 |
North Korea | 105* | 106* | 1,000 | 38 |
South Korea | 106 | 106 | 16,960 | 75.4 |
Japan | 105 | 105 | 27,380 | 71.4 |
People's Republic of China | 100 | 105 | 4,520 | 39.7 |
Taiwan | 104 | 105 | 23,400 | 79.4 |
Italy
(including microstates: |
102 | 102 | 26,170 | 78.9 |
Iceland | 98* | 101 | 29,240 | 80 |
Mongolia | 98* | 101* | 1,710 | 48.1 |
Switzerland | 101 | 101 | 31,840 | 82.2 |
Austria | 102 | 100 | 28,910 | 80.7 |
Luxembourg | 101* | 100* | 53,230 | 76.4 |
Netherlands | 102 | 100 | 28,350 | 82.8 |
Norway | 98 | 100 | 36,690 | 89 |
United Kingdom | 100 | 100 | 26,580 | 76.7 |
Belgium | 100 | 99 | 28,130 | 84.1 |
Canada | 97 | 99 | 28,930 | 77.8 |
Estonia | 97* | 99 | 11,630 | 64.5 |
Finland | 97 | 99 | 26,160 | 85.1 |
Germany | 102 | 99 | 26,980 | 78 |
New Zealand | 100 | 99 | 20,550 | 76.2 |
Poland | 99 | 99 | 10,450 | 62.7 |
Sweden | 101 | 99 | 25,820 | 82.9 |
Andorra | N/A | 98* | 19,000 | 58.7 |
Australia | 98 | 98 | 27,440 | 82.8 |
Czech Republic | 97 | 98 | 14,920 | 64.5 |
Denmark | 98 | 98 | 30,600 | 85.4 |
France
(including microstate: Monaco) |
98 | 98 | 27,040 | 78.1 |
Hungary | 99 | 98 | 13,070 | 64.1 |
Latvia | 97* | 98* | 9,190 | 65.5 |
Spain | 97 | 98 | 21,910 | 75.8 |
United States | 98 | 98 | 36,120 | 86.6 |
Belarus | 96* | 97* | 5,500 | 57.2 |
Malta | 95* | 97 | 17,710 | 66.4 |
Russia | 96 | 97 | 8,080 | 64.5 |
Ukraine | 96* | 97* | 4,800 | 61.8 |
Moldova | 95* | 96* | 1,600 | 46.2 |
Slovakia | 96 | 96 | 12,590 | 63.2 |
Slovenia | 95 | 96 | 18,480 | 72.4 |
Uruguay | 96 | 96 | 7,710 | 64 |
Israel | 94 | 95 | 19,000 | 75.3 |
Portugal | 95 | 95 | 17,820 | 67 |
Armenia | 93* | 94* | 3,230 | 50.2 |
Georgia | 93* | 94* | 2,270 | 51.2 |
Kazakhstan | 93* | 94* | 5,630 | 49 |
Romania | 94 | 94 | 6,490 | 53 |
Vietnam | 96* | 94 | 2,300 | 39.5 |
Argentina | 96 | 93 | 10,190 | 64.7 |
Bulgaria | 93 | 93 | 7,030 | 59.1 |
Greece | 92 | 92 | 18,770 | 76.1 |
Malaysia | 92 | 92 | 29,570 | 78.5 |
Ireland | 93 | 92 | 8,500 | 52.1 |
Brunei | 92* | 91* | 19,210 | 50.8 |
Cambodia | 89* | 91* | 1,970 | 28.6 |
Cyprus | 92* | 91* | 18,650 | 67.6 |
Lithuania | 97* | 91 | 10,190 | 65.4 |
Republic of Macedonia | 93* | 91* | 6,420 | 54.4 |
Thailand | 91 | 91 | 6,890 | 50.3 |
Albania | 90* | 90* | 4,960 | 51.2 |
Bermuda | N/A | 90 | 36,000 | 75.8 |
Bosnia and Herzegovina | N/A | 90* | 5,800 | 51.4 |
Chile | 93* | 90 | 9,420 | 59.5 |
Croatia | 90 | 90 | 10,000 | 61.7 |
Kyrgyzstan | 87* | 90* | 1,560 | 48.1 |
Turkey | 90 | 90 | 6,300 | 50.2 |
Cook Islands | N/A | 89 | 5,000 | 45.7 |
Costa Rica | 91* | 89* | 8,650 | 53.7 |
Laos | 89* | 89 | 1,660 | 24.9 |
Mauritius | 81* | 89 | 10,820 | 52.2 |
Serbia | 93* | 89 | 2,300 | 53.8 |
Suriname | 89 | 89 | 6,590 | 50.6 |
Ecuador | 80 | 88 | 3,340 | 47.4 |
Mexico | 87 | 90 | 11,800 | 52.9 |
Samoa | 87 | 88 | 5,570 | 49.7 |
Azerbaijan | 87* | 87* | 3,010 | 47.2 |
Bolivia | 85* | 87 | 2,390 | 49.7 |
Brazil | 87 | 87 | 7,450 | 51.1 |
East Timor | N/A | 87* | 3,940 | 46.7 |
Guyana | 84* | 87* | 3,070 | 40.2 |
Indonesia | 89 | 87 | 1,600 | 28.1 |
Iraq | 87 | 87 | 1,027 | 30.7 |
Myanmar | 86* | 87* | 930 | 42.4 |
Tajikistan | 87* | 87* | 1,640 | 27.5 |
Turkmenistan | 87* | 87* | 4,780 | 41.7 |
Uzbekistan | 87* | 87* | 1,640 | 39.4 |
Kuwait | 83* | 86 | 17,780 | 49.9 |
Philippines | 86 | 86 | 4,450 | 51.6 |
Seychelles | 81* | 86* | 18,232 | 60.6 |
Tonga | 87 | 86 | 6,820 | 40.5 |
Cuba | 85 | 85 | 5,259 | 46.2 |
Fiji | 84 | 85 | 5,330 | 51.9 |
Kiribati | 84* | 85* | 800 | 37.1 |
New Caledonia | N/A | 85 | 21,960 | 54.9 |
Peru | 90 | 85 | 4,880 | 49.2 |
Trinidad and Tobago | 80* | 85* | 9,000 | 52 |
Yemen | 83* | 85 | 800 | 24.5 |
Afghanistan | 83* | 84* | 700 | 13.2 |
Belize | 83* | 84* | 15,960 | 56.1 |
Colombia | 88 | 84 | 5,490 | 44.2 |
Federated States of Micronesia | 84* | 84* | 6,150 | 48.4 |
Iran | 84 | 84 | 6,690 | 40.2 |
Jordan | 87* | 84 | 4,180 | 43.4 |
Marshall Islands | 84 | 84 | 1,600 | 44.2 |
Morocco | 85 | 84 | 2,000 | 39.9 |
Pakistan | 81* | 84 | 3,730 | 31.7 |
Panama | 84* | 84* | 1,960 | 26.2 |
Paraguay | 85* | 84 | 6,060 | 56.6 |
Puerto Rico | 84 | 84 | 4,590 | 45.2 |
Saudi Arabia | 83* | 84* | 15,800 | 63.6 |
Solomon Islands | 84* | 84* | 12,660 | 44.1 |
The Bahamas | 78* | 84* | 1,590 | 41.5 |
United Arab Emirates | 83* | 84* | 24,030 | 48.8 |
Vanuatu | 84* | 84* | 2,850 | 31.4 |
Venezuela | 88* | 84 | 5,220 | 47.4 |
Algeria | 84* | 83* | 5,530 | 39.9 |
Bahrain | 83* | 83* | 16,190 | 49.3 |
Libya | 84* | 83* | 7,570 | 49.3 |
Oman | 83* | 83* | 13,000 | 40.6 |
Papua New Guinea | 84* | 83 | 2,180 | 38.4 |
Syria | 87* | 83 | 5,348 | 38.9 |
Tunisia | 84* | 83* | 6,440 | 40.6 |
Bangladesh | 81* | 82* | 1,720 | 29.8 |
Dominican Republic | 84* | 82 | 6,270 | 46.8 |
India | 81 | 82 | 2,650 | 36.3 |
Lebanon | 86 | 82 | 4,600 | 55.8 |
Madagascar | 79* | 82 | 730 | 28.6 |
Egypt | 83 | 81 | 3,810 | 37.3 |
Honduras | 84* | 81 | 2,540 | 41.9 |
Maldives | 81* | 81* | 4,798 | 38.5 |
Nicaragua | 84* | 81* | 2,350 | 41.3 |
Northern Mariana Islands | N/A | 81 | 12,500 | 51.3 |
Barbados | 78 | 80 | 14,660 | 60.9 |
Bhutan | 78* | 80* | 1,969 | 24.1 |
El Salvador | 84* | 80* | 4,790 | 42.6 |
Guatemala | 79 | 79 | 4,040 | 34.6 |
Sri Lanka | 81* | 79 | 3,510 | 47.7 |
Nepal | 78 | 78 | 1,370 | 26.9 |
Qatar | 78 | 78 | 19,844 | 45.6 |
Comoros | 79* | 77* | 1,640 | 24.6 |
Cape Verde | 78* | 76* | 4,920 | 40.5 |
Mauritania | 73* | 76* | 1,790 | 20.5 |
Uganda | 73 | 73 | 1,360 | 25.4 |
Kenya | 72 | 72 | 1,010 | 27.3 |
South Africa | 72 | 72 | 9,810 | 38.3 |
Tanzania | 72 | 72 | 580 | 23.2 |
Ghana | 71 | 71 | 2,080 | 33.7 |
Grenada | 75* | 71* | 6,600 | 45.3 |
Jamaica | 72 | 71 | 3,680 | 46.5 |
Saint Vincent and the Grenadines | 75* | 71 | 5,190 | 48.4 |
Sudan | 72 | 71 | 1,740 | 24.6 |
Zambia | 77 | 71 | 800 | 21.8 |
Antigua and Barbuda | 75* | 70* | 10,390 | 53.2 |
Benin | 69* | 70* | 1,060 | 20.5 |
Botswana | 72* | 70* | 7,740 | 29.4 |
Namibia | 72* | 70* | 6,880 | 31.1 |
Rwanda | 70* | 70* | 1,260 | 18.5 |
Togo | 69* | 70* | 1,450 | 26 |
Burundi | 70* | 69* | 630 | 15.2 |
Côte d'Ivoire | 71* | 69* | 1,450 | 18.1 |
Malawi | 71* | 69* | 570 | 24.3 |
Mali | 68* | 69* | 840 | 13.4 |
Niger | 67* | 69* | 800 | 13.5 |
Nigeria | 67 | 69 | 800 | 27.3 |
Angola | 69* | 68* | 1,840 | 13.7 |
Burkina Faso | 66* | 68* | 1,090 | 10.7 |
Chad | 72* | 68* | 1,010 | 20.4 |
Djibouti | 68* | 68* | 2,040 | 22 |
Eritrea | 68* | 68* | 1,040 | 21.4 |
Somalia | 68* | 68* | 500 | 15.2 |
Swaziland | 72* | 68* | 4,730 | 22.2 |
Dominica | 75* | 67 | 4,960 | 48.8 |
Guinea | 63 | 67 | 2,060 | 22.5 |
Guinea-Bissau | 63* | 67* | 680 | 20.3 |
Haiti | 72* | 67* | 1,610 | 20.4 |
Lesotho | 72* | 67* | 2,970 | 24.3 |
Liberia | 64* | 67* | 1,000 | 21.2 |
Saint Kitts and Nevis | 75* | 67* | 10,750 | 45.5 |
São Tomé and Príncipe | 59* | 67* | 1,317 | 37.9 |
Senegal | 64* | 66* | 1,660 | 20.7 |
The Gambia | 64* | 66* | 1,540 | 21.3 |
Zimbabwe | 66 | 66 | 2,180 | 25.2 |
Republic of the Congo | 73 | 65 | 630 | 17.9 |
Cameroon | 70* | 64 | 1,910 | 23.1 |
Central African Republic | 68* | 64 | 1,170 | 19.1 |
Democratic Republic of the Congo | 65 | 64 | 700 | 26.9 |
Ethiopia | 63 | 64 | 780 | 16.7 |
Gabon | 66* | 64* | 5,530 | 32.2 |
Mozambique | 72* | 64 | 990 | 18 |
Sierra Leone | 64 | 64 | 500 | 13.8 |
Saint Lucia | 75* | 62 | 4,950 | 51.1 |
Equatorial Guinea | 59 | 59 | 9,100 | 30.4 |
"*" Denotes estimated National IQ
PPP-GNI = purchasing power parity gross national income. QHC = is a composite index called quality of human conditions. |
See also
- Cattell Culture Fair III
- Fluid and crystallized intelligence
- Flynn effect
- General intelligence factor
- Gini coefficient
- IQ and the Wealth of Nations
- Lynns posting of a favorable review that characterizes the 006 work as a reply to criticisms of their earlier results.
- Race Differences in Intelligence
- The Mismeasure of Man
References
- ^ a b c d Richard Lynn and Tatu Vanhanen (2006). IQ and Global Inequality. Washington Summit Publishers: Augusta, GA. ISBN 1593680252
- ^ a b Lynn, R. and Vanhanen, T. (2002). IQ and the wealth of nations. Westport, CT: Praeger. ISBN 0-275-97510-X
- ^ "The New Racialists". Southern Poverty Law Center. Retrieved 2007-11-29.
- ^ "Relevance of education and intelligence at the national level for politics: Democracy, rule of law and political liberty" (PDF). Paper by Heiner Rindermann.
- ^ "Intelligence, Human Capital, and Economic Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach". Paper by Garett Jones and W. Joel Schneider.
- ^ Älykkyyden tabu murtuu? Review by J.P. Roos in Sosiologia 3/2007.
- ^ Review by J.Philippe Rushton in Personality and Individual Differences, 2006, 41, 983-5.
- ^ Rindermann, Heiner: The g-factor of international cognitive ability comparisons: the homogeneity of results in PISA, TIMSS, PIRLS and IQ-tests across nations. European Journal of Personality 21 (2007) 667-706 [1]