This paper investigates how ownership changes affect the plant performance, focusing on the cotton spinning industry in early twentieth century Japan, where many plants experienced ownership changes. Through analyses of detailed plant-level data, it is revealed that, after ownership changes, plants tended to focus on low grade and low price products and, at the same time, total factor productiv...

This paper explores the issue of efficiency in English higher education using data envelopment analysis and stochastic frontier analysis to estimate an output distance function (which incorporates measures of both quantity and quality of teaching and research inputs and outputs) over a thirteen-year period. The study compares the efficiency estimates derived from various estimation methods, and...

The statistical properties of the efficiency estimators based on Data Envelopment Analysis (DEA) are largely unknown. Recent work by Simar et al. and Banker has shown the consistency of the DEA estimators under specific assumptions, and Banker proposes asymptotic tests of whether two subsamples have the same efficiency distribution. There are difficulties arising from bias in small samples and ...

This study explores the reduction potential of greenhouse gases for major pollution emitting countries of the world using nonparametric productivity measurement methods and directional distance functions. In contrast to the existing literature we apply optimization methods to endogenously determine optimal directions for the efficiency analysis. These directions represent the compromise of outp...

This empirical research note documents the relationship between composition of a firm's workforce (with a special focus on age and gender) and its performance with respect to innovative activities (outlays and employment in research and development (R&D)) for a large representative sample of enterprises from manufacturing industries in Germany using unique newly available data. We find that fir...

A production technology specification in electricity distribution leads to many product aspects that together with detailed input data gives a high dimensionality. Non-parametric methods may give meaningful results when parametric methods lack degrees of freedom, but have problems with collinear or irrelevant variables. Aggregate efficiency estimates will be little affected, but rates of transf...

Wages and Productivity Growth in a Dynamic Monopoly* This Paper studies the intertemporal problem of a monopolistic firm that engages in productivity-enhancing innovations to reduce its labour costs. If the level of wages is sufficiently low, the firm’s rate of productivity growth approaches the rate of wage growth and eventually the firm reaches a steady state where its unit labour cost remain...

This paper examines productivity growth in the Indonesian manufacturing sector. We use a longitudinal data set to calculate the effects on aggregate manufacturing productivity growth from improvements within establishments, from reallocation of market shares, and from the turnover of plants. The difference between domestic and foreign owned plants is examined together with a calculation of the ...

There is strong evidence that exporting firms are better. This correlation can potentially arise from many alternative casual models. In this paper, we utilise the natural experiments offered by transitioning into export in a dataset of Indian firms from 1990 to 2011, where each firm which made the transition is matched against one which did not. While exporting firms become bigger, there is no...

− A theoretical framework is developed for decomposing partial factor productivity and measuring technical inefficiency when the underlying technology is characterized by factor non-substitution. With Farrell’s (1957) radial index of technical inefficiency being inappropriate in this case, Russell’s (1985; 1987) non-radial indices are adapted to measure technical inefficiency in a Leontief mode...