University of Sussex
Browse

File(s) not publicly available

Inequality in Sub-Saharan Africa: New Data and New Insights from Anthropometric Estimates

journal contribution
posted on 2023-06-08, 09:50 authored by Alexander Moradi, Joerg Baten
Reliable information on inequality within countries is highly scarce, especially for Less Developed Countries (LDCs). Using anthropometric measures, we extend the inequality database for Sub-Saharan Africa to no less than 28 countries over six five-year periods from 1950 to 1980, and to some 200 regions within those countries. In this process, we also test in depth the validity of objections against the derivation of inequality measures from height data. In a second step, we test the determinants of inequality within and between the 200 regions under study. Our set of explanatory variables includes protein supply, cash cropping, industrial structure, mineral resources, distance to the countries capital, urbanization, education, population density, and ethnic fractionalization. We find that monoculture cash cropping increases inequality, whereas diversified cash cropping has the opposite effect.

History

Publication status

  • Published

Journal

World Development

ISSN

0305-750X

Issue

8

Page range

1233-1265

Department affiliated with

  • Economics Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-02-06

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC