• Media type: E-Article
  • Title: Identifying Endogenous and Exogenous Indicators to Measure Eco-Innovation within Clusters
  • Contributor: Mercado-Caruso, Nohora; Segarra-Oña, Marival; Ovallos-Gazabon, David; Peiró-Signes, Angel
  • imprint: MDPI AG, 2020
  • Published in: Sustainability, 12 (2020) 15, Seite 6088
  • Language: English
  • DOI: 10.3390/su12156088
  • ISSN: 2071-1050
  • Origination:
  • Footnote:
  • Description: <jats:p>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.</jats:p>
  • Access State: Open Access