This paper applies a stochastic frontier approach to analyze the evolution of technical efficiency in manufacturing as a source of regional growth, taking as a unit of analysis the Mexican states in the period 1988-2008. The main findings of our analysis are threefold. First, technical...

The main goal of a scientific journal is to diffuse new knowledge. The number of citations received by a journal can be considered as a measure of this objective and, in turn, as a measure of productivity in relation to the production process in which the journals are involved. In order to...

Korea imports all of its primary energy, which leads to high dependency and vulnerability related to its energy supply. Efficiency in the use of energy is a way to reduce dependency and emissions. This study provides empirical results of the stochastic production process in energy use. Special...

This article presents a new framework for the impact evaluation studies of programs that aim to increase efficiency and productivity of firms. Likelihood ratio statistics support a spatial autoregressive stochastic production model that estimates the technical efficiencies of matched subsamples...

We present a model for studying regional and sectoral variation in total factor productivity (TFP) and develop an empirical test, based on the skewness of TFP distribution, to empirically distinguish between different growth theories. While negative skewness is consistent with the...

The use of price instruments is often advocated by economists, based on their ability to bring about marginal abatement cost equalisation, and hence to achieve targets at least cost. We use the EU ETS as a case study and test this theoretical prediction. We parametrically estimate separate...

We apply a stochastic frontier production model to data from 53 countries during 1991-2003 to estimate total factor productivity growth, and decompose it into technical efficiency change and technical progress. Our empirical results indicate that world productivity growth was led by fast-growing...