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Cited by 408

The DOI matches its Crossref record; 108 of the 108 references it cites were found in a registry or an index.

Green patents, regulatory policies and research network policies

Open access
Fabrizi, Andrea, Guarini, Giulio, Meliciani, Valentina·2018·Research Policy

Abstract

The main goal of this paper is to analyse the single and joint impact of regulation policies and research network policies on environmental innovation. Our theoretical framework combines the open eco-innovation mode approach with the Porter Hypothesis, by adapting them to the knowledge production function where green patents are the dependent variable. We focus on the factors that influence the production of green patents as a proxy of new “environmental” knowledge for a panel of European countries over time. We find that both marked-based regulation policies and participation in green European research networks (in particular with universities and public research centres) positively affect environmental innovation. Moreover, the two policy tools have a complementary effect. This suggests that the effectiveness of environmental regulation policies can be increased by combining them with appropriate innovation policies.

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Crossref · 10.1016/j.respol.2018.03.005

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Metadata

Authors
Fabrizi, A., Guarini, G., & Meliciani, V.
Venue
Research Policy
Publisher
Elsevier BV
Published
2018-07
Volume
47
Issue
6
Pages
1018-1031
ISSN
0048-7333 (ISSN-L)
OpenAlex
W2792569820
Cited by
408
References
108
FWCI
33.91
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Green patents, regulatory policies and research network policies. https://app.cochat.ai/papers/10.1016/j.respol.2018.03.005
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Fabrizi, A., Guarini, G., & Meliciani, V. (2018). Green patents, regulatory policies and research network policies. Research Policy. https://doi.org/10.1016/j.respol.2018.03.005

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.