Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. to a large extent driven by governmental support. Various policies that can broadly be categorized as technology push, demand pull or systemic constitute a policy mix for renewable energies. Our goal is to gain insights on the influence of this policy mix on the intensity and organization of inventive activities within the technological innovation systems for wind power and photovoltaic in Germany since the 1980s. We examine the effect of different instruments on the size and structure of co-inventor networks based on patent data. Our results indicate notable differences between the technologies: The network size for wind power is driven by technology push and systemic instruments, while in photovoltaic demand pull is decisive for network growth. The instruments complement each other and form a consistent policy mix. The structure of the networks is driven by demand pull for both technologies. Terms of use: Documents inSystemic instruments increase interaction especially in the wind power network and are complementary to demand pull in fostering collaboration.
The diffusion of renewable electricity generating technologies is widely considered as crucial for establishing a sustainable energy system in the future. However, the required transition is unlikely to be achieved by market forces alone. For this reason, many countries implement various policy instruments to support this process, also by re-distributing related costs among all electricity consumers. This paper presents a novel history-friendly agent-based study aiming to explore the efficiency of different mixes of policy instruments by means of a Differential Evolution algorithm. Special emphasis of the model is devoted to the possibility of small scale renewable electricity generation, but also to the storage of this electricity using small scale facilities being actively developed over the last decade. Both combined pose an important instrument for electricity consumers to achieve partial or full autarky from the electricity grid, particularly after accounting for decreasing costs and increasing efficiency of both due to continuous innovation. Among other things, we find that the historical policy mix of Germany introduced too strong and inflexible demand-side instruments (like feed-in tariff) too early, thereby creating strong path-dependency for future policy makers and reducing their ability to react to technological but also economic shocks without further increases of the budget.
Business angels are a vital source of capital for innovative startup firms. However, even of those startups that have the potential to fulfill angel investors' expected return on investment, most are rejected during the angel's investment decision process. Information asymmetry, risk and distrust in the relationship between the investor and the entrepreneur result in investment barriers. The concept of proximity has been proposed as a suitable conceptual foundation to understand how the relationship between angel and entrepreneur might hinder or benefit the investment decision. Particularly, researchers distinguish between functional (geographical) and relational dimensions of proximity. The purpose of this paper is to examine the influence of proximity on business angel investments. We do this based on data from 226 investment situations gathered in fall 2014 from 56 business angels and 87 entrepreneurs in Sweden and analyzed using a state-of-the-art Structural Equation Modelling technique. We find that the investment decision is partially determined by the functional proximity of investor and entrepreneur, when observed in isolation. Our results furthermore support conceptual studies in the field of business angels that have hypothesized a mediating effect of relational proximity in this relationship. Based on the empirical analysis in this study, we find this effect to be fully mediating.
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