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

Chris Brown*, Innocent Bakam, Pete Smith, Robin Matthews

*Corresponding author for this work

Research output: Contribution to journalArticle

6 Citations (Scopus)
7 Downloads (Pure)

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.

Original languageEnglish
Pages (from-to)226-244
Number of pages19
JournalGlobal Change Biology. Bioenergy
Volume8
Issue number1
Early online date14 Mar 2015
DOIs
Publication statusPublished - 1 Jan 2016

Keywords

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

Cite this

An agent-based modelling approach to evaluate factors influencing bioenergy crop adoption in north-east Scotland. / Brown, Chris; Bakam, Innocent; Smith, Pete; Matthews, Robin.

In: Global Change Biology. Bioenergy, Vol. 8, No. 1, 01.01.2016, p. 226-244.

Research output: Contribution to journalArticle

@article{20c9263d36d9491eaf35dfefd7153e26,
title = "An agent-based modelling approach to evaluate factors influencing bioenergy crop adoption in north-east Scotland",
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.",
keywords = "agent-based models, bioenergy crops, decision-making, greenhouse gases, land use, socio-economic factors, survey",
author = "Chris Brown and Innocent Bakam and Pete Smith and Robin Matthews",
note = "Acknowledgements This work was funded through a NERC-CASE studentship with the University of Aberdeen and the James Hutton Institute (JHI). The authors wish to thank those farmers who participated in the survey and provided data for the research, and BioSS (JHI – Aberdeen) for advising on statistical analysis.",
year = "2016",
month = "1",
day = "1",
doi = "10.1111/gcbb.12261",
language = "English",
volume = "8",
pages = "226--244",
journal = "Global Change Biology. Bioenergy",
issn = "1757-1693",
publisher = "Wiley",
number = "1",

}

TY - JOUR

T1 - An agent-based modelling approach to evaluate factors influencing bioenergy crop adoption in north-east Scotland

AU - Brown, Chris

AU - Bakam, Innocent

AU - Smith, Pete

AU - Matthews, Robin

N1 - Acknowledgements This work was funded through a NERC-CASE studentship with the University of Aberdeen and the James Hutton Institute (JHI). The authors wish to thank those farmers who participated in the survey and provided data for the research, and BioSS (JHI – Aberdeen) for advising on statistical analysis.

PY - 2016/1/1

Y1 - 2016/1/1

N2 - 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.

AB - 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.

KW - agent-based models

KW - bioenergy crops

KW - decision-making

KW - greenhouse gases

KW - land use

KW - socio-economic factors

KW - survey

U2 - 10.1111/gcbb.12261

DO - 10.1111/gcbb.12261

M3 - Article

VL - 8

SP - 226

EP - 244

JO - Global Change Biology. Bioenergy

JF - Global Change Biology. Bioenergy

SN - 1757-1693

IS - 1

ER -