Publications

Authors:

Ceschi, A; Sartori, R; Dickert, S; Scalco, A; Tur, Em; Tommasi, F; Delfini, K

Title:

Testing a norm-based policy for waste management: An agent-based modeling simulation on nudging recycling behavior

Year:

2021

Type of item:

Articolo in Rivista

Tipologia ANVUR:

Articolo su rivista

Language:

Inglese

Referee:

No

Name of journal:

JOURNAL OF ENVIRONMENTAL MANAGEMENT

ISSN of journal:

0301-4797

Page numbers:

294-305

Keyword:

Recycling behavior; Nudges; Norm-based policy; Agent based modelling; Theory of planned behavior; Social norms

Short description of contents:

The present study uses agent-based modeling (ABM) to examine the effectiveness of a nudge policy for improving recycling behavior. In our simulation, agents' recycling behavior is computed by components of the Theory of Planned Behaviour (i.e., attitudes, perceived behavioral control, social norms) and influenced by other agents as well as their surrounding (i.e., amount of waste in the area). The simulation, based on real data from a Taiwan community district, confirms realistic recycling trends and demonstrates the usefulness and reliability of ABM as a method to examine the effectiveness of waste management policies. An additional step in our simulation was to manipulate the amount of waste in the community to test the effect of a nudge policy based on social norms. Results showed that the policy increases recycling activity, but predominantly in low waste scenarios. This suggests that nudges, in the form of norm-based policies, can be an effective solution to enhancing people's recycling behavior under specific circumstances.

Product ID:

134213

Handle IRIS:

11562/1095813

Last Modified:

June 8, 2023

Bibliographic citation:

Ceschi, A; Sartori, R; Dickert, S; Scalco, A; Tur, Em; Tommasi, F; Delfini, K, Testing a norm-based policy for waste management: An agent-based modeling simulation on nudging recycling behavior «JOURNAL OF ENVIRONMENTAL MANAGEMENT» , 2021 , pp. 294-305

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