Does urban sprawl increase the costs of providing local public services? Evidence from Spanish municipalities

This paper examines the impact of urban sprawl, a phenomenon of particular interest in Spain, which is currently experiencing this process of rapid, low-density urban expansion. Many adverse consequences are attributed to urban sprawl (e.g., traffic congestion, air pollution and social segregation), though here we are concerned primarily with the rising costs of providing local public services. Our initial aim is to develop an accurate measure of urban sprawl so that we might empirically test its impact on municipal budgets. Then, we undertake an empirical analysis using a cross-sectional data set of 2,500 Spanish municipalities for the year 2003 and a piecewise linear function to account for the potentially nonlinear relationship between sprawl and local costs. The estimations derived from the expenditure equations for both aggregate and six disaggregated spending categories indicate that low-density development patterns lead to greater provision costs of local public services

Assessing the performance of the public sector

One is used to hearing harsh statements about inefficient public services. It is not surprising to see public sector performance questioned. What is surprising is that what is meant by performance, and how it is measured, does not seem to matter much to either the critics or the advocates of the public sector. The purpose of this paper is to suggest a definition, and a way to measure the performance of the public sector or rather of its main components. Our approach is explicitly rooted in the principles of welfare and production economics. We will proceed in four stages. First of all we present what we call the 'performance approach' to the public sector. This concept rests on the principal-agent relation that links a principal, i.e., the State, and an agent, i.e., the person in charge of the public sector unit, and on the definition of performance as the extent to which the agents fulfills the objectives assigned by the principal. The performance is then measured by using the notion of productive efficiency and the 'best practice" frontier technique. In the second stage we move to the issue of measuring the performance of some canonical components of the public sector (education, health care and railways transport), assuming that there is no constraint as to data availability. The idea is to disentangle the usual confusion between conceptual and data problems. In the third stage, we move to real world data problems. The question is then given the available data, whether it makes sense to assess and measure the performance of such public sector activities. The final stage is devoted to explaining performance or rather lack thereof. This exercise has clear implications for public theory. Finally we argue that when the scope is not components but the entirety of the public sector, one should restrict the performance analysis to outcomes and not relate them to inputs