Modelling Sustainability Transitions: An Assessment of Approaches and Challenges

Transition modelling is an emerging but growing niche within the broader field of sustainability transitions research. The objective of this paper is to explore the characteristics of this niche in relation to a range of existing modelling approaches and literatures with which it shares commonalities or from which it could draw. We distil a number of key aspects we think a transitions model should be able to address, from a broadly acknowledged, empirical list of transition characteristics. We review some of the main strands in modelling of socio-technological change with regards to their ability to address these characteristics. These are: Eco-innovation literatures (energy-economy models and Integrated Assessment Models), evolutionary economics, complex systems models, computational social science simulations using agent based models, system dynamics models and socio-ecological systems models. The modelling approaches reviewed can address many of the features that differentiate sustainability transitions from other socio-economic dynamics or innovations. The most problematic features are the representation of qualitatively different system states and of the normative aspects of change. The comparison provides transition researchers with a starting point for their choice of a modelling approach, whose characteristics should correspond to the characteristics of the research question they face. A promising line of research is to develop innovative models of co-evolution of behaviours and technologies towards sustainability, involving change in the structure of the societal and technical systems.

[1]  Michael Grubb,et al.  The Transition to Endogenous Technical Change in Climate-Economy Models: A Technical Overview to the Innovation Modeling Comparison Project , 2006 .

[2]  F. Geels,et al.  The dynamics of transitions: a socio-technical perspective , 2010 .

[3]  Koen Frenken,et al.  Technological innovation and complexity theory , 2006 .

[4]  M. Strubegger,et al.  User's Guide for MESSAGE III , 1995 .

[5]  Paul Windrum,et al.  Structural change in the presence of network externalities: a co-evolutionary model of technological successions , 2004 .

[6]  Helmut Haberl,et al.  Using Integrated Models to Analyse Socio-ecological System Dynamics in Long-Term Socio-ecological Research – Austrian Experiences , 2013 .

[7]  J. Bergh,et al.  A group selection perspective on economic behavior, institutions and organizations , 2009 .

[8]  Franco Malerba,et al.  Competition and industrial policies in a ‘history friendly’ model of the evolution of the computer industry , 2001 .

[9]  Hans de Haan,et al.  Special issue on computational and mathematical approaches to societal transitions , 2008, Comput. Math. Organ. Theory.

[10]  Cameron S. Fletcher,et al.  Resilience in landscape exploitation systems , 2007 .

[11]  Rpjm Rob Raven,et al.  Modelling the dynamics of technological innovation systems , 2016 .

[12]  Simon Peck,et al.  Group Model Building: Facilitating Team Learning Using System Dynamics , 1996, J. Oper. Res. Soc..

[13]  Jan H. Kwakkel,et al.  Dynamic scenario discovery under deep uncertainty: The future of copper , 2013 .

[14]  Dominik E. Reusser,et al.  Lessons for model use in transition research : a survey and comparison with other research areas , 2015 .

[15]  W. Saarloos Front propagation into unstable states , 2003, cond-mat/0308540.

[16]  Marko P. Hekkert,et al.  A complex systems methodology to transition management , 2009 .

[17]  Adrian Smith,et al.  The governance of sustainable socio-technical transitions , 2005 .

[18]  J. Sterman,et al.  The energy transition and the economy : a system dynamics approach , 1982 .

[19]  Katherine Deaton Steel,et al.  Energy system development in Africa : the case of grid and off-grid power in Kenya , 2008 .

[20]  Vanessa Oltra,et al.  The dynamics of environmental innovations: three stylised trajectories of clean technology , 2005 .

[21]  J. Bergh Optimal Diversity: Increasing Returns versus Recombinant Innovation , 2008 .

[22]  J Swanson,et al.  Business Dynamics—Systems Thinking and Modeling for a Complex World , 2002, J. Oper. Res. Soc..

[23]  Jason Brownlee,et al.  Complex adaptive systems , 2007 .

[24]  R. Palmer,et al.  Asset Pricing Under Endogenous Expectations in an Artificial Stock Market , 1996 .

[25]  G. Nigel Gilbert,et al.  Modelling Norms , 2013 .

[26]  Warren Thorngate,et al.  Minding Norms: Mechanisms and Dynamics of Social Order in Agent Societies (Oxford Series on Cognitive Models and Architectures) by Rosaria Conte, Giulia Andrighetto and Marco Campennl (eds.) , 2014, J. Artif. Soc. Soc. Simul..

[27]  Birgit Müller,et al.  Agent-Based Modelling of Social-Ecological Systems: Achievements, Challenges, and a Way Forward , 2017, J. Artif. Soc. Soc. Simul..

[28]  Birgit Müller,et al.  Simple or complicated agent-based models? A complicated issue , 2016, Environ. Model. Softw..

[29]  Luigi Orsenigo,et al.  Innovation, Diversity and Diffusion: A Self-organisation Model , 1988 .

[30]  Neil Strachan,et al.  A review of socio-technical energy transition (STET) models , 2015 .

[31]  V. Christensen,et al.  A combined ecosystem and value chain modeling approach for evaluating societal cost and benefit of fishing , 2011, Ecological Modelling.

[32]  Ottmar Edenhofer,et al.  Technological Change and International Trade -Insights from REMIND-R , 2010 .

[33]  M. Valente Evolutionary demand: a model for boundedly rational consumers , 2012, Journal of Evolutionary Economics.

[34]  Eric D. Beinhocker The Origin of Wealth - Evolution, Complexity, and the Radical Remaking of Economics , 2007 .

[35]  Emile J.L. Chappin,et al.  Simulating Energy Transitions , 2011 .

[36]  Hazhir Rahmandad,et al.  Heterogeneity and Network Structure in the Dynamics of Diffusion: Comparing Agent-Based and Differential Equation Models , 2004, Manag. Sci..

[37]  Mike Cooley,et al.  Technological change , 2016, AI & SOCIETY.

[38]  Anthony J. Jakeman,et al.  Performance Evaluation of Environmental Models , 2010 .

[39]  Koen Frenken,et al.  Branching innovation, recombinant innovation, and endogenous technological transitions , 2012 .

[40]  K. Frenken,et al.  Thresholds models of technological transitions , 2014 .

[41]  John D. Sterman,et al.  Learning in and about complex systems , 1994 .

[42]  S. Ruutu,et al.  Prospects of modelling societal transitions : position paper of an emerging community , 2015 .

[43]  George Papachristos,et al.  Towards multi-system sociotechnical transitions: why simulate , 2014, Technol. Anal. Strateg. Manag..

[44]  Georg Holtz,et al.  Modelling transitions: An appraisal of experiences and suggestions for research , 2011 .

[45]  Birgit Müller,et al.  NEW HORIZONS FOR MANAGING THE ENVIRONMENT: A REVIEW OF COUPLED SOCIAL‐ECOLOGICAL SYSTEMS MODELING , 2012 .

[46]  Gordon Walker,et al.  Governing transitions in the sustainability of everyday life , 2010 .

[47]  Enayat Allah Moallemi,et al.  A dual narrative-modelling approach for evaluating socio-technical transitions in electricity sectors , 2017 .

[48]  Georg Papachristos,et al.  A system dynamics model of socio-technical regime transitions , 2011 .

[49]  Alan S. Manne,et al.  MERGE. A model for evaluating regional and global effects of GHG reduction policies , 1995 .

[50]  G. Nigel Gilbert,et al.  Simulation for the social scientist , 1999 .

[51]  Kathrin Abendroth The Origins Of Order Self Organization And Selection In Evolution , 2016 .

[52]  Jan H. Kwakkel,et al.  The geopolitical impact of the shale revolution: Exploring consequences on energy prices and rentier states , 2016 .

[53]  Paul Windrum,et al.  Environmental impact, quality, and price: consumer trade-offs and the development of environmentally friendly technologies , 2009 .

[54]  Jan H. Kwakkel,et al.  Exploratory Modeling and Analysis, an approach for model-based foresight under deep uncertainty , 2013 .

[55]  K. Frenken,et al.  Evolutionary theorizing and modeling of sustainability transitions , 2012 .

[56]  Christophe Le Page,et al.  Agent based simulation of a small catchment water management in northern Thailand: Description of the CATCHSCAPE model , 2003 .

[57]  Paolo Zeppini,et al.  Competing Recombinant Technologies for Environmental Innovation: Extending Arthur's Model of Lock-In , 2011 .

[58]  Enayat Allah Moallemi,et al.  A participatory exploratory modelling approach for long-term planning in energy transitions , 2017 .

[59]  S. Winter,et al.  An Evolutionary Theory of Economic Change.by Richard R. Nelson; Sidney G. Winter , 1987 .

[60]  F. Malerba 'History-friendly' Models of Industry Evolution: The Computer Industry , 1999 .

[61]  Joshua M. Epstein,et al.  Growing Artificial Societies: Social Science from the Bottom Up , 1996 .

[62]  Gerard P. J. Dijkema,et al.  Agent-based modeling of energy infrastructure transitions , 2008, 2008 First International Conference on Infrastructure Systems and Services: Building Networks for a Brighter Future (INFRA).

[63]  Malte Schwoon,et al.  Simulating the adoption of fuel cell vehicles , 2006 .

[64]  Isabell Schrickel,et al.  International Institute for Applied Systems Analysis (IIASA) , 2018, Den Kalten Krieg vermessen.

[65]  Nile W. Hatch,et al.  As Time Goes By: From the Industrial Revolutions to the Information Revolution , 2002 .

[66]  Enayat Allah Moallemi,et al.  Policy analysis of renewable electricity development in India: From a transition modelling perspective , 2016 .

[67]  P. Hedström Dissecting the Social: On the Principles of Analytical Sociology , 2005 .

[68]  Jonathan Köhler,et al.  A comparison of the neo-Schumpeterian theory of Kondratiev waves and the multi-level perspective on transitions , 2012 .

[69]  R. Begum,et al.  Application of computable general equilibrium (CGE) to climate change mitigation policy: A systematic review , 2017 .

[70]  Norman Ehrentreich Agent-Based Modeling: The Santa Fe Institute Artificial Stock Market Model Revisited , 2007 .

[71]  L. Codispoti The limits to growth , 1997, Nature.

[72]  Lars Coenen,et al.  Towards a spatial perspective on sustainability transitions , 2012 .

[73]  J. Bergh,et al.  The behavioral basis of policies fostering long-run transitions: Stakeholders, limited rationality and social context , 2015 .

[74]  Marleen Schouten,et al.  Comparing two sensitivity analysis approaches for two scenarios with a spatially explicit rural agent-based model , 2014, Environ. Model. Softw..

[75]  F. Geels,et al.  Typology of sociotechnical transition pathways , 2007 .

[76]  Thomas Bruckner,et al.  Decarbonizing the Global Energy System: An Updated Summary of the IPCC Report on Mitigating Climate Change , 2016 .

[77]  L. Clarke,et al.  Assessing Transformation Pathways , 2014 .

[78]  Hans de Haan,et al.  The dynamics of functioning investigating societal transitions with partial differential equations , 2008, Comput. Math. Organ. Theory.

[79]  Floortje Alkemade,et al.  Managing the Diffusion of Low Emission Vehicles , 2012, IEEE Transactions on Engineering Management.

[80]  H. Haberl,et al.  Social Ecology: Society-Nature Relations across Time and Space , 2016 .

[81]  Adrian Smith,et al.  The politics of social-ecological resilience and sustainable socio-technical transitions , 2010 .

[82]  George Papachristos,et al.  Diversity in Technology Competition: The Link between Platforms and Sociotechnical Transitions , 2017 .

[83]  David M. Raup,et al.  How Nature Works: The Science of Self-Organized Criticality , 1997 .

[84]  Lorraine Whitmarsh,et al.  A transitions model for sustainable mobility , 2009 .

[85]  R. Kyle Bocinsky,et al.  Modelling prehispanic Pueblo societies in their ecosystems , 2012 .

[86]  M. V. Asselt,et al.  More evolution than revolution: transition management in public policy , 2001 .

[87]  George Papachristos,et al.  System Interactions in Sociotechnical Transitions : Extending the Multi Level Perspective , 2017 .

[88]  Andrew Stirling,et al.  Multicriteria diversity analysis: A novel heuristic framework for appraising energy portfolios , 2010 .

[89]  David Popp,et al.  Energy, the Environment, and Technological Change , 2009 .

[90]  C. Birchenhall,et al.  Is product life cycle theory a special case? Dominant designs and the emergence of market niches through coevolutionary-learning , 1998 .

[91]  Detlef P. van Vuuren,et al.  Exploring the implications of lifestyle change in 2 °C mitigation scenarios using the IMAGE integrated assessment model , 2016 .

[92]  J. Grin,et al.  Transitions to Sustainable Development: New Directions in the Study of Long Term Transformative Change , 2010 .

[93]  F. Geels Technological transitions as evolutionary reconfiguration processes: a multi-level perspective and a case-study , 2002 .

[94]  George P. Richardson,et al.  Reflections on the foundations of system dynamics , 2011 .

[95]  Lorraine Whitmarsh,et al.  Modelling Socio-Technical Transition Patterns and Pathways , 2008, J. Artif. Soc. Soc. Simul..

[96]  Daniel A. Levinthal,et al.  A model of adaptive organizational search , 1981 .

[97]  Franco Malerba,et al.  Public policies and changing boundaries of firms in a ?history friendly? model of the co-evolution of the computer and semiconductor industries , 2008 .