ECO-Innovation determinants in the Spanish construction industry

Based on the authors' validated model that identifies processes and/or products orientation and obtaining information from market sources as variables that affect eco-innovation, we classify different groups according to their eco-innovative behavior of companies belonging to the construction industry. Using the REBUS-PLS algorithm applied to 222 companies with data retrieved from PITEC database, two groups are detected, highlighting one group more oriented towards the environment when innovating, with higher levels of R&D investment and the absence of significant differences in the variables descriptive (size, turnover, investments, employees). Results indicate that eco-innovation orientation does not depend on these features but it is linked to the performance of the company. Results have important practical applications for both, public policy actions to promote eco-innovation and private actions to improve companies' eco-innovation behaviour.