The Effects of Locational Factors on the Performance of Innovation Networks in the German Energy Sector

Kutschke, Anke; Rese, Alexandra; Baier, Daniel

doi:10.3390/su8121281

Cited by 13 publications

(8 citation statements)

References 105 publications

(146 reference statements)

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“…In contrast to suggestions from prior studies (e.g. Bürer and Wüstenhagen, 2009;Kutschke et al, 2016;Reuter et al, 2012;Rösler et al, 2013), municipal locational factors [LOCATION] did not show significant effects on the performance metric [DEVELOPMENT] in our study. Even when we cannot really conclude from a non-significant effect, this can mean that municipal actors, who are more concerned with economical aspects of their city and region such as creating incentives to attract potential new investors, do not effectively contribute to the RES development.…”

Section: Discussioncontrasting

confidence: 99%

“…Municipal locational factors comprise one innovation policy criterion which specifically provides structural conditions for the development of RES (Kutschke et al, 2016). One important example of municipal locational factors is availability and price level of commercial spaces for wind or solar energy parks which are based on legally binding local land-use plans.…”

Section: Municipal Locational Factorsmentioning

confidence: 99%

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The contribution of innovation policy criteria to the development of local renewable energy systems

et al. 2018

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Renewable energy systems (RES) are becoming a strong component of local sustainable innovation strategies. Using a policy mix perspective, this paper investigates innovation policy criteria from municipalities' locational factors, cooperation activities among stakeholders, and local knowledge about RES as antecedents to see how they leverage the development of local RES. We studied these antecedents at a local level by analyzing a sample of 727 middle and large German municipalities using instrumental variables regression. Our results indicate that policymakers should focus on building local knowledge related to RES for local actors and with enhancing publicprivate cooperation activities. However, we did not find that locational factors such as direct incentives and energy and emissions reductions have a direct impact on RES. We suggest that these locational factors can provide indirect support for RES, as a starting point for the implementation of other policy criteria which we investigated in our study. Our findings also indicate greater RES development potential when policymakers adopt a facilitator role and support local innovation networks among different actors rather than keeping RES development activities within the municipality itself. In such an innovation network, stakeholders from nonmunicipality public and private institutions offer additional support to develop a local RES.

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Section: Discussioncontrasting

confidence: 99%

Section: Municipal Locational Factorsmentioning

confidence: 99%

The contribution of innovation policy criteria to the development of local renewable energy systems

et al. 2018

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“…The pressure generated by demand conditions, which drives firms to innovate, is a fact widely reported in the innovation literature (BOON; EDLER, 2018), since its proposition by Schmookler (1966), and corroborated mainly for hightech products and manufacturing industries (JUSTMAN, 1994;PORTER, 1998b;BÖNTE, 2004;FABRIZIO;THOMAS, 2012;LÜTHJE;HERSTATT;VON HIPPEL, 2005;EVANSCHITZKY et al 2012;KUTSCHKE;RESE;BAIER, 2016;MOEN;TVEDTEN;WOLD , 2018;MYERS;PAULY, 2019). In other words, in markets with more demanding consumers, intense feedback on solutions developed by ecosystem companies generates more pressure on companies, which can help explain even the differences in innovation rates between countries.…”

Section: Innovation Ecosystems and Digital Platformsmentioning

confidence: 98%

Ecossistema de inovação em plataformas de aplicativos

2020

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As plataformas de aplicativos fazem parte de ecossistemas de inovação, onde as interações entre usuários finais e desenvolvedores autorregulam o crescimento do próprio ecossistema. Uma das informações mais importantes para esse processo são as avaliações dos usuários. Com o intuito de analisar o impacto dessas informações, este artigo utiliza uma regressão por mínimos quadrados ordinários (MQO) para o ano de 2016, com base em 19 variáveis para 60 países. É mensurado o grau de exigência do mercado consumidor, utilizando um novo indicador baseado nas avaliações dos usuários finais para verificar a consistência de relações entre qualidade da demanda (mensurada pelo novo indicador) e o desempenho inovador de diferentes países nesse segmento. Os resultados evidenciam a robustez e as novas possibilidades de pesquisa que surgem, dadas as características positivas apresentadas pelo novo indicador construído através da utilização de ferramentas de big data e data analytics. Esse indicador mostra que a qualidade da demanda apoia inovações no segmento produtivo, o que levou à concussão de que obter feedback da demanda mais sofisticada representa um estímulo potencial poderoso ao avanço no desenvolvimento de aplicativos.

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“…First, the average annual growth of electrical energy network production is used to determine market growth [16,17]. Second, we measure the human capital variable by the number of workers in wind energy companies and by the percentage of university students who study engineering degrees associated with wind energy [64,65].…”

Section: Complementary Resourcesmentioning

confidence: 99%

A Resource-Based View of Competitiveness in the Wind Energy Sector: The Case of Gran Canaria and Tenerife

2019

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This paper proposes a new model to assess the socio-economic potential of two outermost islands of the EU to exploit their resources and capabilities for the sustainable development of the wind energy sector. To that end, a territory competitiveness index is calculated from the resource-based view to assess the socio-economic potential of renewable energy sources in Gran Canaria and Tenerife. We propose a model where local resources and capabilities in the wind energy industry are measured, taking into account different sources of information and methodologies, thus ensuring a rigorous process in the index calculation. In order to quantify the basic resources, for example, a methodology based on a multi-criteria analysis (MCA) with a geographic information system (GIS) is suggested, with the objective of obtaining an indicator called “index of available territorial resources." This index synthesizes the map information through a numerical value that allows integrating the territory resource with other indicators of the model, such as market growth, innovative behavior, firms’ concentration, or investment effort by the government. The results of the study show that capabilities development is a key factor to exploit the islands resource endowment in order to achieve a competitive advantage in wind energy.

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The Effects of Locational Factors on the Performance of Innovation Networks in the German Energy Sector

Cited by 13 publications

References 105 publications

The contribution of innovation policy criteria to the development of local renewable energy systems

The contribution of innovation policy criteria to the development of local renewable energy systems

Ecossistema de inovação em plataformas de aplicativos

A Resource-Based View of Competitiveness in the Wind Energy Sector: The Case of Gran Canaria and Tenerife

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