Stability analysis and efficiency determinants: empirical evidence.

Efficiency determinants analysis is a main contemporary component in the productive efficiency literature. Two-stage data envelopment analysis (DEA) procedure supposed a turning point in the methodology as the significance of a certain exogenous factor can provide policymakers with accurate information for future strategic decisions, but a deeper scrutiny into the importance of each factor remains unsettled. This article provides a novelty theoretical extension and empirical application for the two-stage DEA bootstrap procedure. We define the stability coefficient (SC) whose magnitude reveals the effect of each exogenous factor in the efficiency estimates. We present empirical evidence to examine the hypothesis that the efficiency of the 17 Spanish tourism regions for the average period data 2005–2013 is determined by a group of contextual variables, illustrating how the SCs strengthen knowledge concerning the significance of each potential attractor. The results help us to classify the significant attractors into strong and weak, accordingly enhancing the public or private decision process, and henceforth avoiding the wastefulness of decision-making units spending. [ABSTRACT FROM PUBLISHER]