Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    UID:
    gbv_1691192562
    Format: 1 Online-Ressource (circa 43 Seiten) , Illustrationen
    Series Statement: Policy research working paper 9087
    Content: How to maintain communal spaces is an important concern in many developing countries, particularly in urban environments. But what strategies can communities use to overcome the public goods problems involved in maintaining their local environment? This paper investigates whether changing the incentives for a subset of the community to contribute to the public good can lead to a shift to a more efficient equilibrium for the community as a whole. The analysis uses a randomized controlled trial to test the effectiveness of a program called "Operation Clean Neighborhood," which targets established community-based organizations and encourages them, through social recognition and low-value, in-kind incentives, to work toward keeping their neighborhoods clean, with the ultimate goal of reducing flooding in these areas. The findings show that, after one year, the intervention was effective in engaging communities and improving the cleanliness of the neighborhood. There is also evidence that this leads to reduced levels of flooding. The analysis uncovers important differences in the effectiveness of the program between areas that have had increased investment in drainage infrastructure and those that have not. It also addresses the issue of spillovers, an important consideration in densely populated urban centers
    Additional Edition: Erscheint auch als Druck-Ausgabe Newman Carol Group Incentives for the Public Good: A Field Experiment on Improving the Urban Environment Washington, D.C : The World Bank, 2019
    Language: English
    Keywords: Graue Literatur
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages