Institutional distance among country influences and environmental performance standardization in multinational enterprises

This research compares and contrasts the findings in Aguilera-Caracuel et al. (2013) with the outcomes of applying fuzzy-set qualitative comparative analysis (fsQCA) — a methodological strategy that gathers quantitative and qualitative information to explain complexity at the case level and generality across cases. Using the same sample of 128 multinational enterprises (MNEs) with headquarters and subsidiaries based in the USA, Canada, France, and Spain, we identify a set of relevant configurations of causes and conditions to explain environmental performance standardization. By avoiding separate treatments for each variable, which is typical in multiple regression analysis (MRA), we overcome prior limitations and propose a new way of understanding this phenomenon. In summary, our results significantly reinforce and complement the previous results.