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Significant loss of valuable resources and increasing burdens on landfills are often associated with a lack of proper planning in waste management and resource recovery strategy. A sustainable waste management model is thus urgently needed to improve resource efficiency and divert more waste from landfills. This paper proposes a comprehensive system model using stock-and-flow diagram to examine the current waste management performance and project the future waste generation, treatment and disposal scenarios, using England as a case study. The model comprises three integrated modules to represent household waste generation and collection; waste treatment and disposal; and energy recovery. A detailed mass and energy balance has been established and waste management performance has been evaluated using six upstream and downstream indicators. The base case scenario that assumes constant waste composition shows that waste to landfills can be reduced to less than 10% of the total amount, by 2035. However, it entails greater diversion of waste to energy-from-waste facilities, which is not sustainable and would incur higher capital investment and gate fees. Alternative case scenarios that promote recycling instead of energy recovery result in lower capital investment and gate fees. Complete elimination of the food and organic fraction from the residual waste stream will help meet the 65% recycling target by 2035. In light of the need for achieving a more circular economy in England, enhancing material recovery through reuse and recycling, reducing reliance on energy-from-waste and deploying more advanced waste valorisation technologies should be considered in future policy and planning for waste management. • A stock-and-flow model for waste management in England has been developed. • Resource recovery potential has been proposed as a more robust indicator. • Material recovery and valorisation should be promoted in lieu of energy-from-waste. • Diversion of waste to incineration incurs higher capital investment and gate fees. [ABSTRACT FROM AUTHOR]

This paper uses a randomized controlled trial to test whether doorstep canvassing can raise participation in kerbside recycling. Existing research shows that canvassing can confront negative attitudes, increase understanding and resolve structural obstacles, but there is less known about the longitudinal effects of such interventions, which may fall away over time. 194 streets in Trafford, in the North West of England, UK were randomly assigned into a treatment and a control group. All households in the treatment group were visited by canvassers who were trained to promote and encourage recycling. Recycling participation rates for all households were measured by observing bin set out rates over a three-week period. Measurement was done before and after the canvassing campaign and then again three months later to see if the intervention had been effective in raising participation rates. Random-effects multilevel regression models, controlling for baseline recycling, street size, deprivation and size of ethnic minority population, show that the canvassing raised recycling participation rates for the treatment group compared to the control group, but there was a decline in the impact of the intervention over time. The intervention was more effective on streets with low levels of recycling at baseline. [Copyright &y& Elsevier]

Abstract: Recent developments in national and European Union waste management policy have prompted considerable interest in alternative waste management programs, such as recycling, which could divert a portion of the municipal solid waste stream from landfills. This paper examines household preferences for kerbside recycling services and uses a stated preference choice experiment method to estimate households’ valuation of such services. Using a sample of 188 households in the London area, the empirical analysis yields estimates of the willingness to pay for the number of ‘dry’ materials collected, the collection of compost, textile collection and the frequency of collection. [Copyright &y& Elsevier]