A novel approach for barriers to industrial energy efficiency

Abstract

A critical review of the literature highlighted the need for a new taxonomy encompassing the most relevant barriers stemmed from previous studies, and accounting for interactions and independences of the barriers to avoid overlaps and implicit interactions. Based on an extensive literature review the paper provides a novel approach for barriers to the adoption of industrial energy-efficient technologies, coping with the issues risen by the review of the literature. We developed a taxonomy adaptable to empirical research, and able to evaluate the differences between perceived and real barriers, the effect of the barriers on decision-making processes, and the interactions among barriers. We modeled three types of interactions, i.e., causal relationship, composite effect and hidden effect, in order to start analyzing the dynamics among barriers, and tested the taxonomy in a preliminary investigation. The study proposes a useful instrument both to enterprises and policy-makers to identify critical factors to improve industrial energy efficiency and to open the research to further investigation in this topic.