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  • 标题:Identifying Endogenous and Exogenous Indicators to Measure Eco-Innovation within Clusters
  • 本地全文:下载
  • 作者:Nohora Mercado-Caruso ; Marival Segarra-Oña ; David Ovallos-Gazabon
  • 期刊名称:Sustainability
  • 印刷版ISSN:2071-1050
  • 出版年度:2020
  • 卷号:12
  • 期号:15
  • 页码:6088
  • DOI:10.3390/su12156088
  • 语种:English
  • 出版社:MDPI, Open Access Journal
  • 摘要:Scientific and business environment literature shows that green, sustainable innovation or eco-innovation has proven to be a source of competitive advantage today. The industrial clusters, their dynamism, and the synergies created within them attract a lot of attention from the scientific community. However, to date, the joint study of these two concepts and, more specifically, the factors that drive eco-innovation specifically in a cluster, have not been studied in depth. This article models eco-innovation in industrial clusters, thus addressing this gap and proposing a model based on information gathered from the literature and a detailed analysis of behavior in relation to eco-innovation in different sectors. Results suggest that including eco-innovation variables and measures may have positive implications such as improvements at the strategic level and the reduction of costs and use of resources. An eco-innovation model for clusters is proposed. It considers eight key factors that seek to raise its competitive level by promoting eco-innovation within clusters. The model includes five internal factors that analyze business capabilities and three external factors that study the effect of launching eco-innovative activities. This model could help the companies’ managers and those responsible for clusters in creating more successful strategies to increase competitiveness by enhancing eco-innovation. It could also serve as a guide for government entities in the performance of eco-innovative activities in economic sectors.
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