Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
Energy Efficient Technologies (EET) have attracted strong interest because of their role in reducing environmental damage. Their adoption, however, remains rather low, while their impact on productivity is substantial and differentiating with respect to technological characteristics. Energy intensity, being such an obvious characteristic, could be employed to classify EET adopters thus giving rise to two heterogeneous technologies (i.e. those corresponding to firms of low and high energy consumption). Hence, this paper examines the impact of energy intensity on the productivity growth of firms adopting EET in varying time intervals through a metafrontier-based framework, while also decomposing that impact in terms of technical, efficiency and scale-efficiency changes. The analysis is complemented by examining the role of firm-specific characteristics on the productivity growth through linear regression.