The Can Challenge: Understanding the best ways to incentive recycling through a diffusion approach

Tools

Brock, Michael, Murgia, Lucia Milena, Sitzia, Stefania and Zheng, Jiwei (2022) The Can Challenge: Understanding the best ways to incentive recycling through a diffusion approach.

Full text not available from this repository. (Request a copy)

Abstract

Understanding the best ways to incentive recycling and improve the efficiency of waste practices is a key environmental, social and economic management problem that needs addressing. We search for solutions to this issue by implementing a field experiment with two incentive mechanisms (a piece-rate and a lottery-based systems) in three different locations; a residential, a workplace and a student environment. We model our experimental data with the Bass Model, which to the best of our knowledge has never been employed to analyse experimental data and to gather a deeper understanding of the diffusion process among individuals adopting the recycling service. Our results indicate a high degree of heterogeneity across our trial locations. Incentivising recycling can stimulate action by those on lower incomes through opportunities for income generation. By contrast, those in workplace environments engage with or without incentives, but the latter does seem to boost activity. Our study contributes to the literature by providing evidence on how to best increase public involvement through recycling and provides important insights for policy making to address this worldwide relevant issue.

Item Type: Article
Faculty \ School: Faculty of Social Sciences > School of Economics
Faculty of Social Sciences > Norwich Business School
UEA Research Groups: Faculty of Social Sciences > Research Centres > Centre for Behavioural and Experimental Social Sciences
Faculty of Social Sciences > Research Groups > Environment, Resources and Conflict
Faculty of Social Sciences > Research Groups > Behavioural Economics
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 05 Nov 2024 11:30
Last Modified: 05 Nov 2024 11:30
URI: https://ueaeprints.uea.ac.uk/id/eprint/97503
DOI:

Actions (login required)

View Item View Item