Evaluation and Management of Urban Liveability: A Goal Programming Based Composite Indicator

Social Indicators Research - This paper proposes a composite indicator intended to assess the degree of liveability provided by urban areas. This synthetic index makes two essential contributions...     

An Economic Wellbeing Index for the Spanish Provinces: A Data Envelopment Analysis Approach

 This article presents the estimation of a synthetic economic wellbeing index using Data Envelopment Analysis (DEA). The DEA is a multidimensional technique that has its origins in efficiency analysis, but its usage within the social indicators context is particularly appropriate. It allows the researcher to take advantage of the inherent flexibility of DEA when assigning weights to the factors. The model itself carries out the aggregation and weighting of 8 partial indicators, which attempt to describe the four components of economic wellbeing suggested by Osberg (Royal Commision on the Economic Union and Development Prospects for Canada (University of Toronto Press, 1985)), in order to assess the economic wellbeing of the 50 Spanish provinces. By using the index obtained in the analysis a “ranking” of the provinces is obtained. This ranking proves to be relatively similar to the one that corresponds to per capita income, although there are significant differences.     

A Composite Indicator for University Quality Assesment: The Case of Spanish Higher Education System

This study presents a synthetic indicator for quality assessment in the Spanish public university system. The indicator is based on a series of components and simple indicators that were obtained from the public universities’ financial planning estimates. The paper takes a quantitative, wide-ranging approach to analyse the quality of university institutions and is intended to be complimentary to other qualitative approaches. Data Envelopment Analysis was used in order to facilitate the aggregation and weighting of the data used to construct the synthetic indicator. This technique allows the analyst to endogenously determine the weighting of the partial indicators while respecting the peculiarities intrinsic to each university. The results reveal that there are significant differences among Spanish public universities. In addition to how relatively well each of the institutions performs, other factors would seem to be influencing the results; essentially these are related to socio-economic factors and to the application of university policy in Spain over recent decades.