Arbeitspapier

The Geography of Talent: Development Implications and Long-Run Prospects

This paper characterizes the recent evolution of the geographic distribution of talent, and studies its implications for development inequality. Assuming the continuation of recent educational and immigration policies, it produces integrated projections of income, population, urbanization and human capital for the 21st century. To do so, we develop and parameterize a two-sector, two-class, world economy model that endogenizes education decisions, population growth, labor mobility, and income disparities across countries and across regions/sectors (agriculture vs. nonagriculture). We find that the geography of talent matters for global inequality, whatever the size of technological externalities. Low access to education and the sectoral allocation of talent have substantial impacts on inequality, while the effect of international migration is small. We conclude that policies targeting access to all levels of education and sustainable urban development are vitalto reduce demographic pressures and global inequality in the long term.

Language
Englisch

Bibliographic citation
Series: FERDI Working Paper ; No. P221

Classification
Wirtschaft
Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
Human Capital; Skills; Occupational Choice; Labor Productivity
Economic Development: Human Resources; Human Development; Income Distribution; Migration
Subject
human capital
migration
Urbanization
growth
inequality.

Event
Geistige Schöpfung
(who)
Burzyński, Michal
Deuster, Christoph
Docquier, Frédéric
Event
Veröffentlichung
(who)
Fondation pour les études et recherches sur le développement international (FERDI)
(where)
Clermont-Ferrand
(when)
2018

Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Arbeitspapier

Associated

  • Burzyński, Michal
  • Deuster, Christoph
  • Docquier, Frédéric
  • Fondation pour les études et recherches sur le développement international (FERDI)

Time of origin

  • 2018

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