Open AccessAn agent‐based modelling approach to evaluate factors influencing bioenergy crop adoption in north‐east Scotland
Author(s) -
Brown Chris,
Bakam Innocent,
Smith Pete,
Matthews Robin
Publication year - 2016
Publication title -
gcb bioenergy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.378
H-Index - 63
eISSN - 1757-1707
pISSN - 1757-1693
DOI - 10.1111/gcbb.12261
Subject(s) - bioenergy , agriculture , rationalisation , revenue , business , natural resource economics , energy crop , agricultural economics , order (exchange) , resource (disambiguation) , environmental resource management , environmental economics , economics , renewable energy , engineering , geography , computer science , mathematics , accounting , archaeology , finance , computer network , geometry , electrical engineering
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 ( MWF s), using survey data collected from farmers and land managers, into the ABM . The MWF s 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.