A comparison of municipal waste collection policies to optimize recycling rates: Evidence from England and Wales

This study investigated the effectiveness of municipal waste collection policies within England and Wales by examining how variations in local waste management strategies correlate with recycling rates. Using data from 297 council districts, we analysed the impact of different policy variables (frequency of residual waste and recycling collection, sorting requirements for recyclables, and the availability of food and yard waste collections) on recycling rates. We applied a logistic transformation to the dependent variable and fitted a linear regression model using the gathered predictors to evaluate policy effectiveness, while controlling for demographic factors. We validated the model with a series of beta regression models. The findings indicate that less frequent residual waste collection, the availability of weekly organic food waste and free organic yard waste significantly enhance recycling outcomes. Moreover, the research highlights the influence of socio-demographic factors. The results provide actionable insights for policymakers to optimise waste management practices and recycling rates within the framework of existing policies.

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Publication Details

Journal
Waste Management
Published
2025-11-26
DOI
https://doi.org/10.1016/j.wasman.2025.115258
Primary Topic
Municipal Solid Waste Management
Type
article
Field-Weighted Citation Impact
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article

A comparison of municipal waste collection policies to optimize recycling rates: Evidence from England and Wales

Jonathan Wilansky, Kailun Cao
Waste Management
Municipal Solid Waste Management
article

A comparison of municipal waste collection policies to optimize recycling rates: Evidence from England and Wales

Jonathan Wilansky, Kailun Cao
article en

Abstract

This study investigated the effectiveness of municipal waste collection policies within England and Wales by examining how variations in local waste management strategies correlate with recycling rates. Using data from 297 council districts, we analysed the impact of different policy variables (frequency of residual waste and recycling collection, sorting requirements for recyclables, and the availability of food and yard waste collections) on recycling rates. We applied a logistic transformation to the dependent variable and fitted a linear regression model using the gathered predictors to evaluate policy effectiveness, while controlling for demographic factors. We validated the model with a series of beta regression models. The findings indicate that less frequent residual waste collection, the availability of weekly organic food waste and free organic yard waste significantly enhance recycling outcomes. Moreover, the research highlights the influence of socio-demographic factors. The results provide actionable insights for policymakers to optimise waste management practices and recycling rates within the framework of existing policies.

Waste ManagementVol. 210
Concordia University (CA)
Openalex Percentile: Top 57%
Municipal Solid Waste Management
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