Energy efficiency improvement (EEI) is generally known to be a cost-effective measure for meeting energy, climate and sustainable growth targets. Unfortunately, behavioral responses to such improvements (called energy rebound effects) may reduce the expected savings in energy and emissions from...

Benchmarking methods are widely used in the regulation of firms in network industries working under heterogeneous exogenous environments. In this paper we compare three recently developed estimators, namely conditional DEA (Daraio and Simar, 2005, 2007b), latent class SFA (Orea and Kumbhakar, 2004;...

Scale characteristics are key properties of production functions that determine optimal firm sizes, and have considerable policy implications for sectors undergoing restructuring. However, estimates of scale characteristics typically vary with the assumptions of the underlying empirical model....

While productivity growth in electricity generation is associated with multiple positive effects from an economic and environmental perspective, measuring it is challenging. This paper proposes a framework to estimate and decompose productivity growth for a sector characterized by multiple...

In this paper, we analyze the technical efficiency of CO2 reduction potentials of German power and heat plants, using a non-parametric sequential Data Envelopment Analysis. We apply a metafrontier framework to evaluate plant-level efficiencies in the transformation of inputs into desirable...

Germany's water supply industry is characterized by a multitude of utilities and widely diverging prices, possibly resulting from structural differences beyond the control of firms' management, but also from inefficiencies. In this article we use Data Envelopment Analysis and Stochastic Frontier...

Efforts undertaken by France to restructure the allocation of governmental competencies increased the importance of subnational governments by transferring additional tasks. This paper analyzes the efficiency of public spending on an intermediate government level for a sample of 96 départements...

We analyze potential gains from hypothetical mergers in local public transport using the non-parametric Data Envelopment Analysis with bias corrections by means of bootstrapping. Our sample consists of 41 public transport companies from Germany's most densely populated region, North...

We develop a network technology model for pollution abatement that distinguishes between the two primary forms that abatement can take: Prevention of emissions from occurring in the first place, and treatment of any emissions that are generated by the production process. Our network model...

Forest fuel defined as branches and tops (GROT) of harvested trees represents a large share of forest biomass and is increasingly viewed as a potential energy source. This study assesses the economic potentials of forest bioenergy production in Swedish forests, using a network data envelopment...