Congestion in the Chinese automobile and textile industries revisited

This paper re-examines a problem of congested inputs in the Chinese automobile and textile industries, which was identified by Cooper et al. (Socio-Economic Planning Sciences 35 (2001) 227-242). These authors employed a single approach to measuring congestion, however, so it is of interest to see whether other approaches would yield very different answers as regards the severity of this problem. Indeed, the measurement of congestion is an area where there has been much theoretical debate but relatively little empirical work. Here we use the data set assembled by Cooper et al. for the period 1981-1997 to compare and contrast the measurements of congestion generated by three alternative approaches. We find that these measurements are indeed very different.Monetary Policy;

Does it matter How We Measure Congestion?

This paper examines three alternative methods of measuring congestion, from both theoretical and empirical perspectives. These methods are the conventional approach of Färe and Grosskopf, the alternative proposed by Cooper et al., and a new method developed by Tone and Sahoo. Each method is found to have merits and demerits. The properties of the different methods are examined using data for 41 ‘new’ British universities in the period 1995/6 to 2003/4. Contrary to expectations, Färe and Grosskopf’s approach generally indicates substantially more congestion than do the other procedures. The main reason for this is identified as being its use of CRS rather than VRS as the assumed technology. While the alternative measures of congestion are found to be positively correlated, the correlations are not strong enough for them to be regarded as substitutes. All methods suggest the existence of a widespread problem of congestion in the new universities, although they differ noticeably as regards its severity.Length: 37 pagesData envelopment analysis; Education; Congestion;

Does Expansion Cause Congestion? The Case of the Older British Universities, 1994 to 2004

This paper examines whether the rapid growth in the number of students in British universities in recent years has led to congestion, in the sense that certain universities’ output could have been higher if this expansion had been less rapid. The focus of the paper is on 45 older universities that were in existence prior to 1992. The analysis covers the period 1994/5 to 2003/4. Several alternative methods of measuring congestion are examined and, to check the sensitivity of the results to different specifications, three alternative DEA models are formulated. The results indicate that congestion was present throughout the decade under review, and in a wide range of universities, but whether it rose or fell is uncertain, as this depends on which congestion model is used. A crucial point here is whether one assumes constant or variable returns to scale. Nonetheless, all models point to a rise in congestion between 2001/2 and 2003/4, and this may well be a result of the rapid growth that occurred in this period. All models also record a sharp drop in mean technical efficiency in 2003/4. A possible explanation of the absence of a clear-cut trend in congestion is that the student : staff ratio in these universities was relatively stable in the decade under review, rising only gently from 2000/1 onwards.British universities; congestion; DEA

First passage time density for the Ehrenfest model

We derive an explicit expression for the probability density of the first passage time to state 0 for the Ehrenfest diffusion model in continuous time