We develop a multi-sector general equilibrium model in which productivity growth is driven by the production of sector-specific knowledge. In the model, we find that long run differences in total factor productivity growth across sectors are independent of the parameters of the knowledge production function except for one, which we term the fertility of knowledge. Differences in R&D intensity a...

We implement an endogeneous switching-regression model for labour productivity and firms’ decision to use business–to–business (B2B) e–commerce. Our approach allows B2B usage to affect any parameter of the labour productivity equation and to properly take account of strategic complementarities between the input factors and B2B usage. Empirical evidence from 1,394 German firms shows that firms u...

Using micro evidence from manufacturing and services firms located in 55 African countries, this paper shows that better management practice, reflected by international management certification, helps firms to raise productivity. Larger and older firms and firms operating closer to the technological frontier are more likely to possess international management standards certification, as do firm...

Using company account data for the US and four European countries this paper analyses the impact of ICT spillovers on companies’ performance. We use different definitions of spillovers to account for inter and intra-industry spillover effects, as well as assessing the presence of spillovers from the US to Europe. We also look at the possibility that spillovers might take some time to materialis...

This paper examines the costs and bene ̄ts of government control of enterprises in transition, using a large survey of Chinese state enterprises. We ̄nd that tighter government control causes more unpro ̄table production and more surplus employment and thus tends to distort more severely enterprises' economic decisions. However, tighter government control also tends to reduce agency costs by forc...

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...