Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Reducing Air Pollution and Waste Burning through Social Competition

Domain:

environment and energy

Record type:

paper
Creator:
BunShePol
Editor:
Cen
Publisher:
OSF
Host:avatar
Improving urban air quality is a pressing challenge in the Global South. A key source of air pollution is the informal burning of household waste. Reducing informal burning requires governments to develop formal systems for waste disposal and for residents to adopt new disposal behaviors. Using a randomized experiment, we show that social competitions between pairs of neighborhoods in Nansana municipality, Uganda, galvanized leadership and inspired collective action to reduce informal burning. All 44 neighborhoods in the study received a public health campaign, while 22 treated neighborhoods were paired and competed to reduce waste burning over an 8-month period. Treated neighborhoods showed a 24 percent reduction (95\% CI: 11-35 percent) in waste burning relative to control neighborhoods at the end of the competition period. There is no evidence that treated neighborhoods experienced a rebound in waste burning several months after the competitions. Community leaders reported greater effort in coordinating residents and more pride in their neighborhood when assigned to the competition treatment. These results suggest that creating focal points for leadership and collective action can be an effective and low-cost strategy to address policy problems that require broad participation and costly behavior change.

Visit

doi.orgosf.io

Similar

Reducing Air Pollution through Machine LearningReplication Package: Social Competition Drives Collective Action to Reduce Informal Waste Burning in UgandaChemically Speciated Air Pollutant Emissions from Open Burning of Household Solid Waste from South AfricaData for: Air Pollutant Emissions from Open Burning of Household Solid Waste from South AfricaChanging attitudes through information exposure: Experimental evidence on reducing agricultural burning in rural Nigeriacodehass/air-pollution

Reducing Air Pollution through Machine Learning

This paper presents a data-driven approach to mitigate the effects of air pollution from industrial

Replication Package: Social Competition Drives Collective Action to Reduce Informal Waste Burning in Uganda

This directory contains the code and data needed to reproduce all analytical figures and tables in t

Chemically Speciated Air Pollutant Emissions from Open Burning of Household Solid Waste from South Africa

Abstract. Open burning of household solid waste is a large source of air pollutants worldwide, espec

Data for: Air Pollutant Emissions from Open Burning of Household Solid Waste from South Africa

This data contains emission factors and source profiles of chemically speciated air pollutants from

Changing attitudes through information exposure: Experimental evidence on reducing agricultural burning in rural Nigeria

Abstract This study investigates the effectiveness of an education intervention that targets low‐in

codehass/air-pollution

The Air Pollution App provides users with information about the air quality in various African count