Arbeitspapier

Planning Ahead for Better Neighborhoods: Long Run Evidence from Tanzania

What are the long run consequences of planning and providing basic infrastructure in neighborhoods, where people build their own homes? We study “Sites and Services” projects implemented in seven Tanzanian cities during the 1970s and 1980s, half of which provided infrastructure in previously unpopulated areas (de novo neighborhoods), while the other half upgraded squatter settlements. Using satellite images and surveys from the 2010s, we find that de novo neighborhoods developed better housing than adjacent residential areas (control areas) that were also initially unpopulated. Specifically, de novo neighborhood are more orderly and their buildings have larger footprint areas and are more likely to have multiple stories, as well as connections to electricity and water, basic sanitation and access to roads. And though de novo neighborhoods generally attracted better educated residents than control areas, the educational difference is too small to account for the large difference in residential quality that we find. While we have no natural counterfactual for the upgrading areas, descriptive evidence suggests that they are if anything worse than the control areas.

Sprache
Englisch

Erschienen in
Series: CESifo Working Paper ; No. 6680

Klassifikation
Wirtschaft
Housing Supply and Markets
Economic Development: Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
Land Use Patterns
Thema
urban economics
economic development
slums
Africa

Ereignis
Geistige Schöpfung
(wer)
Michaels, Guy
Nigmatulina, Dzhamilya
Rauch, Ferdinand
Regan, Tanner
Baruah, Neeraj
Dahlstrand-Rudin, Amanda
Ereignis
Veröffentlichung
(wer)
Center for Economic Studies and ifo Institute (CESifo)
(wo)
Munich
(wann)
2017

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Michaels, Guy
  • Nigmatulina, Dzhamilya
  • Rauch, Ferdinand
  • Regan, Tanner
  • Baruah, Neeraj
  • Dahlstrand-Rudin, Amanda
  • Center for Economic Studies and ifo Institute (CESifo)

Entstanden

  • 2017

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