Which Perspective of Institutional Change Best Fits Empirical Data? An Agent-Based Model Comparison of Rational Choice and Cultural Diffusion in Invasive Plant Management
Authored by Li An, Abigail Sullivan, Abigail York
Date Published: 2018
DOI: 10.18564/jasss.3611
Sponsors:
United States National Science Foundation (NSF)
Platforms:
NetLogo
Model Documentation:
ODD
Pseudocode
Model Code URLs:
https://www.comses.net/codebases/5231/releases/1.0.0/
Abstract
There are multiple theories regarding how institutions change overtime,
but institutional change is often difficult to study and understand in
practice. Agent-based modeling is known as a technique to explore
emergent phenomena resulting from the micro level activities and
interactions between heterogeneous agents and between agents and the
environment. Such models allow researchers to investigate theories which
may otherwise be difficult to examine. We present a theoretically driven
agent-based model to explore two perspectives on institutional change,
rational choice and cultural diffusion, in the context of invasive plant
management in Chitwan, Nepal. The Chitwan region is grappling with the
spread of the invasive mile-a-minute weed, Mikania micrantha (Mikania).
We focus on understanding which perspective of institutional change
better fits empirical survey data on Mikania management. We find that
rational choice is an unlikely candidate for institutional change in
Chitwan and that the social learning and imitation mechanism modeled in
the cultural diffusion perspective better replicates empirical patterns.
Additionally, the model reveals that the percentage of agents adopting
the best practice removal method is not as influential in reducing
Mikania as the initial amount of Mikania removed. This result indicates
that it may be useful to conduct an empirical assessment varying the
initial amount of Mikania removed to understand the management
implications for successful removal of Mikania in Chitwan and elsewhere.
Tags
Agent-based model
Migration
knowledge
Institutions
Invasive Pest
Collective Action
systems
Protocol
Coupled human
Nepal
Weed mikania-micrantha
Community forestry
Chitwan