International knowledge spillovers in the wind power industry: evidence from the European Union

Grafström, Jonas

doi:10.1080/10438599.2017.1328778

Cited by 32 publications

(25 citation statements)

References 66 publications

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“…The nature of green innovation requires firms to face different economic problems with heterogeneous sources and knowledge interactions (Cainelli, De Marchi, & Grandinetti, ; Florida, ; Horbach et al, ; Ketata et al, ; Oltra & Saint Jean, , ; Rennings & Rammer, ). Interregional and interfirm knowledge spillovers have impacts on green innovators (Costantini, Mazzanti, & Montini, ; Grafström, ).…”

Section: Literature Reviewmentioning

confidence: 99%

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The role of environmental innovation through the technological proximity in the implementation of the sustainable development

2019

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This paper explores the relationship between a firm's knowledge sourcing strategy and green innovation. The data are taken from Organisation for Economic Cooperation and Development REGPAT database, February 2016, relative to the European Patent Office firms' patent applications published up to December 2015.The study contributes to the literature by focusing on the moderating role of integration between different activities related to environmental performance on the relationship between knowledge sources and green innovations. The results from 240 firms indicate a shift in the focus from internal knowledge to external knowledge when developing environmental innovations. Government policies promoting more knowledge complementarity and coordination between environmental fields will help to promote more knowledge transfer, allowing more sustainable development.

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Section: Literature Reviewmentioning

confidence: 99%

“…Interregional and interfirm knowledge spillovers have impacts on green innovators (Costantini, Mazzanti, & Montini, 2013;Grafström, 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

The role of environmental innovation through the technological proximity in the implementation of the sustainable development

2019

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“…Hence, for this range of the investment cost, a R&D agreement 17 If Örm 1 plays NRDA, the game moves to the R&D competition regime, whatever the strategy of Örm 2.…”

Section: Randd Cooperationmentioning

confidence: 99%

“…At stage one a complete strategy proÖle can, thus, be simply denoted as s = (s 1 ; s 2 ). The procedure used here to Önd the Örst stage equilibrium strategy proÖle is the following: Örstly, we deÖne both types of Örm 2ís best replies to Örm 1ís RDA proposal; 17 secondly, we evaluate Örm 1ís incentive to propose a R&D agreement when anticipating Örm 2ís best response. We analyze the incentives of Örms to cooperate by just comparing the payo §s that they expect under R&D competition with those generated under a R&D agreement.…”

Section: Randd Cooperationmentioning

confidence: 99%

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Are you the right partner? R&D agreement as a screening device

Conti

Marini

2018

Economics of Innovation and New Technology

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This paper focusseses on the strategic use of Örmsí R&D agreements to overcome R&D ine¢ciencies in presence of asymmetric information and research spillovers. We introduce a duopoly game where initially one Örm is not fully informed on its rivalís R&D productivity. We show that, without R&D agreements, the usual underinvestment problem can be exacerbated by the presence of asymmetric information. However, by proposing a R&D agreement, the uninformed Örm may not only gain from the internalization of R&D investment spillovers, but also use it strategically as a screening device to assess the true type of its rival. According to the model, Örms are more likely to pursuit R&D agreements in presence of similar productivity and less when their productivity gap is high. This is consistent with the empirical Öndings highlighting the importance of Örmsí similarities for R&D collaborations.

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How do dimensions of institutional quality improve Italian regional innovation system efficiency? The Knowledge production function using SFA

Barra

Ruggiero

2022

J Evol Econ

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This paper investigates the contribution of different dimensions of institutional quality on the efficiency of the Italian regional innovation system (RIS) through the application of a knowledge production function estimated within a Stochastic Frontier Analysis environment. Though most of the dimensions of institutional quality considered in the analysis are found to play no role in affecting RIS efficiency, we detect a positive and highly significant impact of government effectiveness on the variable of interest. This result is robust to different assumptions about the underlying technology, to alternative lag structures between R&D and patenting activities and to the application of different R&D inputs. Moreover, this evidence is confirmed once instead of the RIS efficiency, we appraise the impact of institutional quality on the amount of registered patents, through the application of a canonical knowledge production function. In terms of policy implications, our analysis indicates that measures that strengthen the endowment of regional socio-economic structures are highly recommended as they enhance the efficiency of the RIS and stimulate patenting activities. Finally, interventions for Southern regions should be designed to reduce the technological and efficiency gap with the most advanced regions in the country.

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International knowledge spillovers in the wind power industry: evidence from the European Union

Cited by 32 publications

References 66 publications

The role of environmental innovation through the technological proximity in the implementation of the sustainable development

The role of environmental innovation through the technological proximity in the implementation of the sustainable development

Are you the right partner? R&D agreement as a screening device

How do dimensions of institutional quality improve Italian regional innovation system efficiency? The Knowledge production function using SFA

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