A conceptual framework for the analysis of the effect of institutions on biofuel supply chains
Authored by J A Moncada, Z Lukszo, M Junginger, A Faaij, M Weijnen
Date Published: 2017
DOI: 10.1016/j.apenergy.2016.10.070
Sponsors:
No sponsors listed
Platforms:
No platforms listed
Model Documentation:
Other Narrative
Flow charts
Mathematical description
Model Code URLs:
Model code not found
Abstract
The economic performance of biofuels supply chains depends on the
interaction of technical characteristics as technological pathways and
logistics, and social structures as actor behavior, their interactions
and institutions. Traditional approaches focus on the technical problems
only. Little attention has been paid to the institutional analysis of
biofuel supply chains. This paper aims to extend the analysis of the
effect of institutions on the emergence of biofuel supply chains by
developing a conceptual framework that combines elements of complex
adaptive systems, (neo) institutional economics and sociotechnical
systems theory. These elements were formalized into an agent-based
model. The proposed method is illustrated by a case study on a biodiesel
supply chain in Germany. It was found that the patterns in production
capacity result from investors basing their decisions on
optimistic-perceptions of the market development that increase with a
favorable institutional framework. Conversely, patterns in biodiesel
production cannot be completely explained by this mechanism. The
proposed framework assisted the model conceptualization phase and
allowed the incorporation of social structures into the agent based
model. This approach could be developed further to provide insights on
the effect of different future deployment strategies on bioenergy
systems emergence and development. (C) 2016 The Authors. Published by
Elsevier Ltd.
Tags
Agent-based modeling
Complex adaptive systems
bioenergy
Optimization
biomass
Policy
Energy
Strategic niche management
Cellular-automata
European-union
(neo) institutional economics
Socio-technical
systems
Biofuel supply chains
Transaction-cost economics
Ethanol-production