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CONCLUDING REMARKS

There has been a remarkable improvement in the availability of information for distrib­utive analysis in the last decades due to increasing efforts by researchers, national govern­ments, and international organizations.

To be sure, the picture of inequality and poverty in the developing world is substantially sharper now than in the late 1990s, when the first volume of this Handbook was written. There remain, however, enormous data limita­tions that make that picture only a very rough approximation of reality. Household sur­veys are lacking in some countries and are carried out very occasionally in others. Changes in methodology over time are frequent, a fact that generally implies improve­ment in the data collection, but that at the same time introduces comparability issues with previous surveys that are difficult to deal with. Household surveys have endemic prob­lems in capturing some income and consumption items and in dealing with selective compliance and underreporting issues. The gaps with National Accounts aggregates, usu­ally variable over time, are a disturbing sign of measurement errors. Comparability across countries is another big problematic issue; there are few efforts among national agencies to standardize surveys or at least some criteria to gather and process information. Another issue of concern is the difficulty in obtaining statistical confidence intervals for the dis­tributive statistics, either because agencies do not report them, or do not provide infor­mation on sampling issues, or do not release the microdata.[572] In sum, to be able to characterize and track distributive changes with more accuracy, we need more efforts to extend the coverage and frequency of household surveys and improve their reliability and comparability across countries. There is still a long way to go to get an accurate assessment of poverty and inequality in the developing world.

From the data available, some general facts emerge. High poverty and inequality are pervasive characteristics of the developing world, but are not immutable features of these economies. The evidence suggests a robust decline in the levels of absolute income pov­erty in the developing world, driven mainly by East Asia in the 1980s and 1990s and gen­eralized to the rest of the developing countries in the 2000s. Income poverty has been reduced in most countries and in the world as whole, making the achievement of the first MDG possible. Despite these positive results, there are reasons for concern. The task of fighting poverty continues to be very challenging: Around 1.2 billion people survive with less than $1.25 a day, an extremely low standard. Also, most of the people who suc­ceeded in jumping the $1.25 line in the last decades are still poor by the standards of middle-income developing countries and remain highly vulnerable if economic condi­tions worsen. Moreover, due to economic growth, concerns about relative poverty may be increasingly important, and the evidence in that sense is less optimistic.

The evidence on relative income inequality suggests that on average the developing countries are somewhat more unequal than three decades ago. The patterns have been different by period and region. Inequality rose in the late 1980s and in the 1990s; the changes were larger in Eastern Europe and Central Asia, probably as a result of the tran­sition from a central-planned to a more market-oriented economy; in East Asia, likely as a consequence of the economic takeoff; and in Latin America probably as the result of recurrent macroeconomic crises and some structural transformations. Distributive changes became more equalizing in the 2000s, but the changes were rather moderate and with considerable heterogeneity across countries. In fact, in this decade of widespread social improvement around a third of the countries did not experience falling inequality levels. Reducing inequality certainly remains a top concern in the developing world.

ACKNOWLEDGMENT

F. A. is with Nuffield College and INET-Oxford, Paris School ofEconomics and CONICET; L. G. is with Centro de Estudios Distributivos, Laborales y Sociales (CEDLAS), Facultad de Ciencias Econcomicas, Universidad Nacional de La Plata, and CONICET. This chapter was completed while L. G. was visiting professor at the University of British Columbia. We are grateful to participants to the conference “Recent Advances in the Economics of Income Distribution” (Paris), the AAEP Meetings (Rosario), Thomas Piketty, and especially Anthony Atkinson and Francois Bourguignon, for valuable comments and suggestions. We are also grateful to DavidJaume, Dario Tortarolo, Carolina Lopez, Julian Amendolag- gine, Santiago Garganta, Florencia Pinto, Pablo Gluzmann, Leopoldo Tornarolli, Javier Alejo, Juan Zoloa, and Carolina Garcia Domench (all at CEDLAS) for outstanding research assistance. We alone are responsible for any errors. Financial support from the ESRC-DFID joint fund and INET is gratefully acknowledged.

APPENDIX

Figure A.1 Mapofpoverty in the developing world, circa 2010. Note: Poverty computed over the distribution of consumption/income per capita with the PPP-adjusted $2-a-day line. Source: Own calculations based on PovcalNet (2013).

Countries Pop. Data
East Asia and Pacific
American Samoa 0.066
Cambodia 13.823 X
China 1324.655 X
Fiji 0.844 X
Indonesia 234.951 X
Kiribati 0.097
Korea, Dem.
Rep.
24.126
Lao 6.022 X
Malaysia 27.502 X
Marshall Islands 0.053
Micronesia 0.110 X
Mongolia 2.667 X
Myanmar 47.250
Palau 0.020
Papua New Guinea 6.549
Philippines 90.173 X
Samoa 0.182
Solomon Islands 0.510
Thailand 68.268 X
Timor-Leste 1.078 X
Tonga 0.103
Tuvalu 0.010
Vanuatu 0.228
Vietnam 85.122 X

Eastern Europe and Central Asia

bgcolor=white>X
Albania 3.181 X
Armenia 3.079 X
Azerbaijan 8.763 X
Belarus 9.602 X
Bosnia and Herzegovina 3.774 X
Bulgaria 7.623 X
Croatia 4.434 X
Czech Republic 10.424 X
Estonia 1.341 X
Georgia 4.384 X
Hungary 10.038 X
Kazakhstan 15.674 X
Kosovo 1.747
Kyrgyz Republic 5.319 X
Latvia 2.266 X
Lithuania 3.358 X
Countries Pop. Data
Macedonia 2.053 X
Moldova 3.570 X
Montenegro 0.629 X
Poland 38.126 X
Romania 21.514 X
Russian Federation 141.950 X
Serbia 7.350 X
Slovak Republic 5.407
Slovenia 2.021 X
Tajikistan 6.691 X
Turkey 70.924 X
Turkmenistan 4.918 X
Ukraine 46.258 X
Uzbekistan 27.303 X

Latin America and the Caribbean

Antigua and Barbuda

Argentina

0.087

39.714

X
Belize 0.322 X
Bolivia 9.618 X
Brazil 191.543 X
Chile 16.796 X
Colombia 45.006 X
Costa Rica 4.522 X
Cuba 11.267
Dominica 0.068
Dominican Republic 9.665 X
Ecuador 14.057 X
El Salvador 6.130 X
Grenada 0.104
Guatemala 13.691 X
Guyana 0.752 X
Haiti 9.736 X
Honduras 7.303 X
Jamaica 2.687 X
Mexico 110.627 X
Nicaragua 5.636 X
Panama 3.406 X
Paraguay 6.230 X
Peru 28.463 X
St.
Kitts and Nevis
0.051
St. Lucia 0.170 X
St. Vincent and G. 0.109

Continued

Table A.1 List of developing countries by region and population, 2010—cont'd

Countries Pop. Data

Suriname 0.515 X
Trinidad and Tobago 1.331 X
Uruguay 3.334 X
Venezuela 27.935 X

Middle East and North Africa

Algeria 34.428 X
Djibouti 0.856 X
Egypt 78.323 X
Iran 72.289 X
Iraq 30.178 X
Jordan 5.787 X
Lebanon 4.167
Libya 6.150
Morocco 31.321 X
Syria 19.638 X
Tunisia 10.329 X
West Bank and Gaza 3.937 X
Yemen 22.627 X

South Asia

Afghanistan 32.518
Bangladesh 145.478 X
Bhutan 0.701 X
India 1190.864 X
Maldives 0.308 X
Nepal 28.905 X
Pakistan 167.442 X
Sri Lanka 20.217 X

Sub-Saharan Africa

bgcolor=white>Lesotho
Angola 18.038 X
Benin 8.356 X
Botswana 1.955 X
Burkina Faso 15.515 X
Burundi 7.943 X
Cameroon 18.759 X
Cape Verde 0.487 X
Central African R. 4.238 X
Chad 10.654 X
Comoros 0.697 X
Congo, Dem.
R.
62.475 X
Congo, Rep. 3.836 X
Cote d’Ivoire 18.987 X
Countries Pop. Data
Eritrea 4.948
Ethiopia 79.446 X
Gabon 1.450 X
Gambia 1.636 X
Ghana 23.264 X
Guinea 9.559 X
Guinea-Bissau 1.454 X
Kenya 38.455 X
2.127 X
Liberia 3.658 X
Madagascar 19.546 X
Malawi 14.005 X
Mali 14.460 X
Mauritania 3.295 X
Mauritius 1.269
Mozambique 22.333 X
Namibia 2.200 X
Niger 14.450 X
Nigeria 150.666 X
Rwanda 10.004 X
Sao Tome amp; P. 0.160 X
Senegal 11.787 X
Seychelles 0.087 X
Sierra Leone 5.612 X
Somalia 8.922
South Africa 48.793 X
South Sudan 8.977
Sudan 32.438 X
Swaziland 1.032 X
Tanzania 42.268 X
Togo 5.777 X
Uganda 31.339 X
Zambia 12.380 X
Zimbabwe 12.452

Note: An “X” in the Data column marks that the country has distributive information in PovcalNet. Source: Population (in millions) is taken from the United Nations Demographic Yearbook.

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