4.6 Article

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

期刊

GLOBAL CHANGE BIOLOGY BIOENERGY
卷 8, 期 1, 页码 226-244

出版社

WILEY
DOI: 10.1111/gcbb.12261

关键词

agent-based models; bioenergy crops; decision-making; greenhouse gases; land use; socio-economic factors; survey

资金

  1. NERC-CASE studentship with the University of Aberdeen
  2. James Hutton Institute (JHI)

向作者/读者索取更多资源

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.

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