We use the non-parametric Data Envelopment Analysis (DEA) and the parametric Stochastic Frontier Analysis (SFA) to workout efficiency and productivity of the ICT sector across 50 countries for the time period 2016 and 2020. By considering OECD -DSTRI index as bad output, the study intends to...

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...

Existing studies of agricultural production largely neglect technology heterogeneity. However, the assumption of homogeneous production may result in inadequate policy implications. There is a growing literature on this issue. In this paper we contribute to this literature by modelling the...

The ratio definition of efficiency has the form of a productivity measure. But the weights are endogenous variables and they do not function as weights in a productivity index proper. It is shown that extended Farrell measures of efficiency can all be given an interpretation as productivity...

Surveys of bank efficiency intrinsically draw conclusions based on the assumption that all banks in a sample use the same production technology. Neglecting the existence of unobserved differences in technological regimes might distort efficiency estimates by assigning incorrectly these...

In this paper, a theoretical relationship is obtained to measure the effect that inefficiency has on marginal costs, degree of economies of scale and technical change. It is shown that when the relationship between inefficiency and output level is ignored, the estimation of marginal costs and...

Using a unique plant-level dataset we examine total factor productivity (TFP) growth and its components, related to efficiency change and technical change. The data we use is from Sweden and for their pulp and paper industry, which is heavily regulated due to its historically large contribution...