Solar panel installation in Zwickau (Saxony, Germany) in front of the Zwickau University of Applied Sciences, January 9, 2005.
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"Compulsive Policy-making—The Evolution of the German Feed-in Tariff System for Solar Photovoltaic Power"
Journal Article, Research Policy
Authors: Joern Hoppmann, Former Associate, Energy Technology Innovation Policy research group, April–August 2013; Former Research Fellow, Energy Technology Innovation Policy research group, September 2012–March 2013, Joern Huenteler, Postdoctoral Research Fellow, Energy Technology Innovation Policy research group, Bastien Girod
In recent years, policy approaches that build upon the notion of innovation systems have enjoyed increasing attention in science, technology and innovation policy. But while the usefulness of systemic thinking in policy-making has been demonstrated in a large number of empirical settings, we still lack a detailed understanding of the dynamics at play when policy makers address systemic problems. In this paper, we show how complex interdependencies and the uncertain nature of technological change shape the process of targeted policy interventions in socio-technical systems. Toward this end we analyzed the evolution of the German feed-in tariff (FIT) system for solar photovoltaic power, a highly effective and widely copied policy instrument targeted at fostering the diffusion and development of renewable energy technologies. We find that the policy has been subject to a considerable amount of changes, many of which are the result of policy makers addressing specific system issues and bottlenecks. Interestingly, however, often these issues themselves were driven by unforeseen technological developments induced by previous policy interventions. We argue that the pattern of policy serving as both a solution to and a driver of technological bottlenecks shows strong similarities with what Rosenberg (1969) called 'compulsivesequences' in the development of technical systems. By shedding more light on how the characteristics of socio-technical systems affect policy interventions, our framework represents a first step toward moreclosely integrating the literature on innovation systems with the work on policy learning.
Read the entire article online here (log in may be required): http://www.sciencedirect.com/science/article/pii/S0048733314000249
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