This paper is concerned with the links between agglomeration, productivity and transport investment. If improvements in transport systems give rise to changes in the mass of economic activity accessible to firms, for instance by reducing travel times or the costs of travel, then they can induce...

This paper reviews methods that seek to draw causal inference from non-experimental data and shows how they can be applied to undertake ex-post evaluation of transport interventions. In particular, the paper discusses the underlying principles of techniques for treatment effect estimation with...

A number of macro-level studies attempting to establish the statistical link between public investment in highway infrastructure and employment have applied econometric techniques to estimate the effect of highways while controlling for the effects associated with other factors. Unfortunately,...

This paper identifies factors underpinning spatial variation in manufacturing labour productivity in Britain at the county level, examining the relative influences of spatial external effects, the degree of capital intensity, industrial structure, and labour force 'quality'. In doing so, it sets...

This study presents a decomposition of the basic fundamental determinants of road traffic and fuel demand. A general framework is proposed as a means of analysing the impacts of changes in prices and income on the demand for fuel and traffic volume. The objective is to provide a general basis...

This paper investigates the role of scale economies, technological growth and industrial structure in creating spatial variation in manufacturing labour and Total Factor (TFP) productivity in Britain. Separate estimates of a translog specification are presented for British manufacturing firms...

Time-series estimation of gasoline demand elasticities often does not take into account the possibility of nonstationarity in the underlying data, which may render the parameter estimates spurious. Studies have shown that the time trending variables used to explain gasoline demand could be...