Driving Green Investments by Measuring Innovation Impacts. Multi-Criteria Decision Analysis for Regional Bioeconomy Growth

Regional policies play a pivotal role in green transition and pursuing the European Green Deal decarbonization targets. Despite the general recognition of the strategic value of the bioeconomy in realizing this challenge, regional roadmaps for its growth are not yet a widespread tool in local innova...

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Autores principales:	Fabiana Gatto, Sara Daniotti, Ilaria Re
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	multi-criteria decision making analysis bioeconomy regional investments MCDA innovation potential green transition Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/3766a990582844a88e9dbf4a9daa858b
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spelling	oai:doaj.org-article:3766a990582844a88e9dbf4a9daa858b2021-11-11T19:26:10ZDriving Green Investments by Measuring Innovation Impacts. Multi-Criteria Decision Analysis for Regional Bioeconomy Growth10.3390/su1321117092071-1050https://doaj.org/article/3766a990582844a88e9dbf4a9daa858b2021-10-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/11709https://doaj.org/toc/2071-1050Regional policies play a pivotal role in green transition and pursuing the European Green Deal decarbonization targets. Despite the general recognition of the strategic value of the bioeconomy in realizing this challenge, regional roadmaps for its growth are not yet a widespread tool in local innovation policy. Conversely, driving green investments by measuring the innovation potential of the bioeconomy could shape a low-carbon economy by leveraging the full potential of local resources. In order to validate a replicable decision-making model driving 2021–2027 ERDF funds towards this mission, this paper measures the economic, social and technological impact of the Lombard bioeconomy through five applications and eight criteria. The methodology allows quantification of the local bioeconomy value and, through a Multi-Criteria Decision Analysis (MCDA), identifies the bio-based applications with the highest innovation potential. By measuring the current and prospective impact of the bioeconomy, Bio-chemicals, Agri-foods, and Biopolymers emerges as the applications with the highest innovation potential rate for Lombardy. Five recommendations to drive green investments and shape the regional roadmap for the bioeconomy are finally defined, providing a tool for industrial applications with a greater impact on local competitiveness.Fabiana GattoSara DaniottiIlaria ReMDPI AGarticlemulti-criteria decision making analysisbioeconomyregional investmentsMCDAinnovation potentialgreen transitionEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 11709, p 11709 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	multi-criteria decision making analysis bioeconomy regional investments MCDA innovation potential green transition Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	multi-criteria decision making analysis bioeconomy regional investments MCDA innovation potential green transition Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Fabiana Gatto Sara Daniotti Ilaria Re Driving Green Investments by Measuring Innovation Impacts. Multi-Criteria Decision Analysis for Regional Bioeconomy Growth
description	Regional policies play a pivotal role in green transition and pursuing the European Green Deal decarbonization targets. Despite the general recognition of the strategic value of the bioeconomy in realizing this challenge, regional roadmaps for its growth are not yet a widespread tool in local innovation policy. Conversely, driving green investments by measuring the innovation potential of the bioeconomy could shape a low-carbon economy by leveraging the full potential of local resources. In order to validate a replicable decision-making model driving 2021–2027 ERDF funds towards this mission, this paper measures the economic, social and technological impact of the Lombard bioeconomy through five applications and eight criteria. The methodology allows quantification of the local bioeconomy value and, through a Multi-Criteria Decision Analysis (MCDA), identifies the bio-based applications with the highest innovation potential. By measuring the current and prospective impact of the bioeconomy, Bio-chemicals, Agri-foods, and Biopolymers emerges as the applications with the highest innovation potential rate for Lombardy. Five recommendations to drive green investments and shape the regional roadmap for the bioeconomy are finally defined, providing a tool for industrial applications with a greater impact on local competitiveness.
format	article
author	Fabiana Gatto Sara Daniotti Ilaria Re
author_facet	Fabiana Gatto Sara Daniotti Ilaria Re
author_sort	Fabiana Gatto
title	Driving Green Investments by Measuring Innovation Impacts. Multi-Criteria Decision Analysis for Regional Bioeconomy Growth
title_short	Driving Green Investments by Measuring Innovation Impacts. Multi-Criteria Decision Analysis for Regional Bioeconomy Growth
title_full	Driving Green Investments by Measuring Innovation Impacts. Multi-Criteria Decision Analysis for Regional Bioeconomy Growth
title_fullStr	Driving Green Investments by Measuring Innovation Impacts. Multi-Criteria Decision Analysis for Regional Bioeconomy Growth
title_full_unstemmed	Driving Green Investments by Measuring Innovation Impacts. Multi-Criteria Decision Analysis for Regional Bioeconomy Growth
title_sort	driving green investments by measuring innovation impacts. multi-criteria decision analysis for regional bioeconomy growth
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/3766a990582844a88e9dbf4a9daa858b
work_keys_str_mv	AT fabianagatto drivinggreeninvestmentsbymeasuringinnovationimpactsmulticriteriadecisionanalysisforregionalbioeconomygrowth AT saradaniotti drivinggreeninvestmentsbymeasuringinnovationimpactsmulticriteriadecisionanalysisforregionalbioeconomygrowth AT ilariare drivinggreeninvestmentsbymeasuringinnovationimpactsmulticriteriadecisionanalysisforregionalbioeconomygrowth
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Driving Green Investments by Measuring Innovation Impacts. Multi-Criteria Decision Analysis for Regional Bioeconomy Growth

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