Francesco Chelli

Assessing the Behaviour of Non-Survey Methods for Constructing Regional Input-Output Tables through a Monte Carlo Simulation

The paper aims to analyse the behaviour of a battery of non-survey techniques of constructing regional I-O tables in estimating impact. For this aim, a Monte Carlo simulation, based on the generation of ‘true’ multiregional I-O tables, was carried out. By aggregating multi-regional I-O tables, national I-O tables were obtained. From the latter, indirect regional tables were derived through the application of various regionalisation methods and the relevant multipliers were compared with the ‘true’ multipliers using a set of statistics. Three aspects of the behaviour of the methods have been analysed: performances to reproduce ‘true’ multipliers, variability of simulation error and direction of bias. The results have demonstrated that the Flegg et al. Location Quotient (FLQ) and its augmented version (AFLQ) represent an effective improvement of conventional techniques based on the use of location quotients in both reproducing ‘true’ multipliers and generating more stable simulation errors. In addition, the results have confirmed the existence of a tendency of the methods to over/underestimate impact. In the cases of the FLQ and the AFLQ, this tendency depends on the value of the parameter δ.

Going regional: An index of sustainable economic welfare for Italy

Abstract The Index of Sustainable Economic Welfare (ISEW) is a monetary measure of sustainability and economic welfare aimed at overcoming some of the limitations of the Gross Domestic Product (GDP). In particular it accounts for the value of externalities, for the distribution of income and for the natural resources depletion. Since its formulation in 1989 by Daly and Cobb, the ISEW has been calculated for a number of nations. More recently, there has been an increasing interest in assessing sustainable welfare also at sub-national levels. Following this trend, the aim of this paper is to provide an empirical application of the ISEW for Italy and for all its regions and macro-areas over the years 1999–2009. In particular, we compare the ranking of the Italian macro-areas and regions based on ISEW with the corresponding rankings based on GDP. This is the first empirical analysis in the literature that provides estimates and comparisons of the ISEW for all the Italian regions and macro-areas over a long period of time. Another important novelty of this paper concerns the introduction of a weighting scheme to adjust private consumptions based not only on inequality but also on poverty. Empirical results show substantial differences between the regional ranking based on ISEW and the traditional classification based on GDP, revealing, moreover, that the Italian regions are characterized by a high variability in terms of their sustainable and economic welfare.

Influence of the hypothalamic-pituitary-adrenal axis dysregulation on the metabolic profile of patients affected by diabetes mellitus-associated late onset hypogonadism.

BACKGROUND AND AIMS Functional hypercortisolism (FH) is generated by clinical states able to chronically activate the hypothalamic-pituitary-adrenal (HPA) axis [e.g. diabetes mellitus (DM)]. No study has evaluated FH influence in worsening the metabolic profile of male patients affected by DM-associated hypogonadism. In this retrospective work, we assess the possible association between HPA axis-dysregulation and cardiovascular risk factors in men simultaneously affected by DM and late-onset hypogonadism (LOH). METHODS AND RESULTS Fourteen DM and LOH subjects affected by FH (Hypercort-DM-LOH) and fourteen DM and LOH subjects who were not suffering from FH (Normocort-DM-LOH) were retrospectively considered. Clinical, hormonal and metabolic parameters were retrieved. All metabolic parameters, except for systolic blood pressure, were significantly worse in Hypercort-DM-LOH than in Normocort-DM-LOH. After adjustment for body mass index, waist and total testosterone, Hypercort-DM-LOH subjects showed significantly worse metabolic parameters than Normocort-DM-LOH ones. In Normocort-DM-LOH, no significant correlation between general/hormonal parameters and metabolic variables was present. In Hypercort-DM-LOH, positive and significant correlations of cortisol area under the curve (AUC) after corticotropin releasing hormone with glycemia, triglycerides and blood pressure were evident; on the other hand, negative and significant correlation was present between cortisol AUC and high density lipoprotein (HDL) cholesterol. The associations of AUC cortisol with glycemia, HDL cholesterol and diastolic blood pressure (DBP) were further confirmed at quantile regression after adjustment for therapy. CONCLUSIONS FH may determine a worsening of the metabolic profile in DM-associated hypogonadism.

Do spatial patterns of urbanization and land consumption reflect different socioeconomic contexts in Europe

Land-use changes and urban sprawl have transformed European cities, with a direct impact on both metropolitan structures and socioeconomic functions. However, these processes tend to be relatively different across countries, being influenced by place-specific factors associated to socioeconomic, historical, political and cultural factors that influence decisions on the use of land. Considering 155 metropolitan areas in 6 European macro-regions, the present study investigates spatial patterns of land consumption profiling cities according to a large set of territorial variables, with the final objective to identify relevant socioeconomic dimensions characteristic of recent processes of urban growth. Investigating the socioeconomic background underlying land-use changes in metropolitan regions allows identification of place-specific factors improving the design of effective strategies containing land consumption in different European urban typologies. An exhaustive analysis of land-use changes at regional and local spatial scales contributes to find alternative policies for land-use efficiency and long-term environmental sustainability.

Long-term growth and metropolitan spatial structures: an analysis of factors influencing urban patch size under different economic cycles

Abstract Urban forms are increasingly reflective of socio-economic change in metropolitan regions. The present study illustrates an original approach to identify latent mechanisms of urban growth through the analysis of metropolitan spatial structures and their proximate drivers of change. Urban transformations are evaluated here using built-up patches as the elementary analysis unit and background socio-economic attributes at four stages of the “city life cycle” (urbanization, suburbanization, dis-urbanization, re-urbanization). Regression models based on 13 indicators assessing urban patch area and shape, nearest neighbour urban patch area and shape, elevation, distance from 5 urban centres, 2 road infrastructures and sea coastline, were run with the aim to investigate direction and intensity of metropolitan growth in post-war Athens (1948–2012), a southern European city shifting from a compact mono-centric form towards discontinuous urban structures. Mono-centric configurations were characterized by linear dependence of urban patch size from the distance to central cities. Shifts toward scattered urban forms were associated with changes in the multivariate relationship between urban patch size and territorial drivers, pointing out the increased complexity of dispersed metropolitan structures. Our approach integrates economic and ecological visions of urban landscapes and contributes to understanding long-term mechanisms of metropolitan growth under dynamic spatial equilibriums. Investigating the multiple relationships between form and functions at the base of socio-economic transformations are relevant issues when identifying and profiling urbanization cycles.

Assessing the Equitable and Sustainable Well-Being of the Italian Provinces

In recent years there has been an increasing interest in the measurement of well-being of individuals and societies. Influenced by the “beyond GDP” initiative, in 2012 the Italian National Institute of Statistics (ISTAT) and the National Council for Economics and Labour launched the Equitable and Sustainable Well-being (BES, from the Italian acronym of “Benessere Equo e Sostenibile”) project, a set of 134 indicators aimed at capturing the Italian well-being. Lately, the debate on how to measure the well-being moved from the national level to the local one. Following this new trend, ISTAT introduced a set of 88 indicators for the local well-being (at NUTS3 level), the so called “Provinces’ BES”. Based on this project, aim of the paper is to provide an exploratory analysis for detecting groups of Italian provinces that share similar well-being profiles. In particular, we first apply a factor analysis with the aim to reduce the high number of indicators and, grounded on these results, we then create groups of the Italian provinces, applying the cluster analysis, in order to find similarity among them. Finally, based on the result of the factor analysis, for each domain and for each Italian province, we construct a composite indicator that is a linear combination of the estimated factor scores, with weights based on the Gini index of concentration.