Abstract
The purpose of this article is to investigate the effect of the technology factors and the breadth knowledge search on eco-innovation. The analysis is based on a sample of 634 manufacturing firms in Canada. Eco-innovation literature has largely been developed and operationalized through symmetrical analyses. Such methods necessarily limit investigation of synergies between eco-innovation drivers. The study empirically analyses the data set using structural equation modelling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA). The SEM findings indicate that knowledge search breadth mediates the relationship between the R&D activities and eco-innovation. The fsQCA results confirm synergies among eco-innovation drivers. Overall, three pathways of eco-innovation drivers are sufficient conditions for explaining high eco-innovation performance.
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