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