In the second model, the coefficient of public funding is 0.6 (p < 0.001), the coefficient of cooperation in innovation activities is 1.75 (p < 0.001), and the coefficient of firm size is 0.01 (p < 0.001). The explanatory and predictive ability of the model is good, correctly classifying 93% of the observations, with an R2 of 0.64. Therefore, public funding, cooperation in innovation activities, and firm size positively and significantly influence the achievement of environmental innovations.
Finally, the variance inflation factor shows that Chloroquine multi-collinearity is not a problem. The variance inflation factor does not exceed 1.1 in any variable (see Table A.1), which is considerably below the benchmark of 10 (Field, 2009 and Jaccard et?al., 1990).
Authors such as Cabrera and Soto, 2010 and Donkels and Pierre, 1990, and Hamel (2006) highlight the relevance of our object of study –verifying the key role played by innovative and technology-based enterprises as engines of economic development in a country, especially in recessionary economic phases (Fagerberg, 2005, Potts, 2010 and Tseng et?al., 2012). Likewise, other authors highlight the important role played by grasslands biome specific type of business, in driving global business competitiveness (Dosi, 1988, Geroski, 1995 and Schneider and Veugelers, 2010).