An agent-based modelling approach to evaluate factors influencing bioenergy crop adoption in north-east Scotland

Authored by Innocent Bakam, Robin Matthews, Pete Smith, Chris Brown

Date Published: 2016

DOI: 10.1111/gcbb.12261

Sponsors: United Kingdom Natural Environment Research Council (NERC)

Platforms: No platforms listed

Model Documentation: Other Narrative

Model Code URLs: Model code not found

Abstract

An agent-based modelling (ABM) framework was adapted to assess bioenergy crop uptake and integrate social and economic processes with biophysical elements. Survey results indicated that economic rationalisation was intrinsic to farmers' decision-making, but was not the only consideration. This study presents an approach, set within an established resource management framework, to incorporate a number of key socio-economic factors, which we call Mitigation Willingness Factors (MWFs), using survey data collected from farmers and land managers, into the ABM. The MWFs represent farmers' willingness to compromise revenue in order to reduce GHG emissions, derived from their attitudes to climate change and the ability of different economic mechanisms to stimulate energy crop uptake. Adoption of bioenergy crops of different farmer types and farming enterprises was also assessed. Adoption rates and scenarios that take into account noneconomic factors are presented, and particular farming enterprises that may respond more positively to policy initiatives are identified.

Tags

Management Farmers biomass Policy Conservation energy crops Uk Socioecological systems Simulation-models Regional land-use