Estimation and decomposition of overall (economic) efficiency into technical and allocative components goes back to Farrell (1957). However, in a cross-sectional framework joint econometric estimation of efficiency components has been mostly confined to restrictive production function models...

This paper analyzes the impact of Research and Development (R&D) on the productivity of China's high technology industry. In order to capture important differences in the effect of R&D on output that arise from geographic and socioeconomic differences across three major regions in China, we use...

In the literature technical change is mostly assumed to be exogenous and specified as afunction of time. However, some exogenous external factors other than time can also affecttechnical change. In this paper we model technical change via time trend (purely externalnon-economic) as well as other...

The main objective of this study is to investigate the impact of corporate R&D activities onfirms’ performance, measured by labour productivity. To this end, the stochastic frontiertechnique is applied, basing the analysis on a unique unbalanced longitudinal datasetconsisting of 532 top...

This paper analyzes the impact of load factor, facility and generator types on the productivity of Korean electric power plants. In order to capture important differences in the effect of load policy on power output, we use a semiparametric smooth coefficient (SPSC) model that allows us to model...

This paper addresses estimation and decomposition of productivity change, which is mostly identified as technical change under constant (unitary) returns to scale (CRS). If the CRS assumption is not made, productivity change is decomposed into technical change and scale effects.Furthermore, if...

This paper deals with modeling firm-specific technical change (TC), and technological biases (inputs and scale) in estimating total factor productivity (TFP) growth. Several dual parametric econometric models are used for this purpose. We examine robustness of TFP growth and TC among competing...

Modelling and testing whether competitive pressures driven by deregulatory changes make markets more competitive are examined. Departures from competitive markets are modelled via mark-up prices. Empirically, a panel data is used on Spanish savings banking industry that is undergoing...

A previous paper by Arnold, Bardhan, Cooper and Kumbhakar (1996) introduced a very simple method to estimate a production frontier by proceeding in two stages as follows: Data Envelopment Analysis (DEA) is used in the first stage to identify efficient and inefficient decision-making units...