Maria Francesca Cracolici

Assessment of Tourist Competitiveness by Analysing Destination Efficiency

The notion and measurement of destination competitiveness have received increasing attention in the economics literature on tourism. The reason for this emerges from both the growing economic importance of the tourist sector and the increasing competition in the tourist market resulting from the transition from mass tourism to a new age of tourism that calls for a tailor-made approach to the specific attitudes and needs of tourists. The central subject of this paper – inspired by the conceptual competitiveness model developed by Crouch and Ritchie – concerns the efficiency of tourist site destinations. Using a data set of 103 Italian regions for 2001, an economic efficiency analysis is carried out, based on a production frontier approach. The study deploys a measure of tourist site competitiveness in terms of its technical efficiency using parametric and non-parametric methods, a stochastic production function and data envelopment analysis, respectively.

The measurement of economic, social and environmental performance of countries: a novel approach

This paper presents a new analytical framework for assessing spatial disparities among countries. It takes for granted that the analysis of a country’s performance cannot be limited solely to either economic or social factors. The aim of the paper is to combine relevant economic and ‘non-economic’ (mainly social) aspects of a country’s performance in an integrated logical framework. Based on this idea, a structural simultaneous equation model will be presented and estimated in order to explore the direction of the causal relationship between economic and non-economic aspects of a country’s performance. Furthermore, an exploration of the trajectory that each country has registered over time along a virtuous path will be offered. By means of a matrix persistency/transition analysis, the countries will be classified in clusters of good/bad performance. One of the most interesting conclusions concerns the inability of most countries to turn the higher educational skills of the population into greater economic performance over time. In addition, our analysis also shows that making an accurate picture record and formulating related policy aiming at environmental care is highly desirable. It is surprising that only a few countries have reached a favourable economic and environmental performance simultaneously.

Geographical Distribution of Unemployment: An Analysis of Provincial Differences in Italy

Unemployment rates appear to vary widely at the subregional (e.g. local or provincial) level. Using spatial econometric models for spatial autocorrelation, this paper focuses attention on the spatial structure of regional unemployment disparities of Italian provinces. On the basis of findings from the economic literature and of the available socio-economic data, various model specifications including different explanatory variables are tested to investigate the geographical distribution of unemployment in the 103 provinces of Italy for the year 2003. The results suggest that there is a significant degree of spatial dependence among labour markets at the provincial level in Italy. Provinces marked by high unemployment, as well as those characterized by low unemployment, tend to be spatially clustered, demonstrating the presence of spatial persistency.

Geographical Distribution of Crime in Italian Provinces: A Spatial Econometric Analysis

For a long time social sciences scholars from different fields have devoted their attention to identifying the causes leading to commit criminal offences and recently lots of studies have included the analysis of spatial effects. Respect to the Italian crime phenomenon some stylized facts exist: high spatial and time variability and presence of “organised crime” (e.g. Mafia and Camorra) deep-seated in some local territorial areas. Using explanatory spatial data analysis, the paper firstly explores the spatial structure and distribution of four different typologies of crimes (murders, thefts, frauds, and squeezes) in Italian provinces in two years, 1999 and 2003. ESDA allows us to detect some important geographical dimensions and to distinguish crucial macro- and micro- territorial aspects of offences. Further, on the basis of Becker-Ehrlich model, a spatial cross-sectional model including deterrence, economic and socio-demographic variables has been performed to investigate the determinants of Italian crime for 1999 and 2003 and its “neighbouring” effects, measured in terms of geographical and relational proximity. The empirical results obtained by using different spatial weights matrices highlighted that socioeconomic variables have a relevant impact on crime activities, but their role changes enormously respect to crimes against person (murders) or against property (thefts, frauds and squeezes). It is worthy to notice that severity does not show the expected sign: its significant and positive sign should suggest that inflicting more severe punishments does not always constitute a deterrence to commit crime, but it works on the opposite direction.

Efficiency and Productivity of Italian Tourist Destinations: A Quantitative Estimation Based on Data Envelopment Analysis and the Malmquist Method

This paper aims to provide a statistical analysis of the relative economic performance of Italian tourist areas. It uses two modelling approaches to estimate the competitiveness of these regions, viz. data envelopment analysis (DEA) and the Malmquist method. Our results show that the competitiveness position of several Italian regions has not improved over the years under consideration.

PLACE-BASED ATTRIBUTES AND SPATIAL EXPENDITURE BEHAVIOR IN TOURISM

In recent discussions on local sustainable development, notions like “local for local” and “home bias” have often played a role. The purpose of this paper is to investigate whether preferences for specific place-based attributes might constrain or support tourism participation and tourism destination choice of distinct socioeconomic groups of visitors. To test this proposition, a large data set from the Italian Households Budget Survey for the period 1997–2007 has been used and, by means of the double-hurdle model, tourism participation and expenditure are modeled over the life-cycle of tourists. These data are next merged with location-specific attributes including natural amenities and infrastructural and regional-economic context variables. Our results show that location-specific or place-based characteristics affect intra- and interregional tourism differently, as well as destination choices. Regional differences between residents in two different macroareas in Italy (North and Center-South) are investigated. Location-specific characteristics may be either push or constraint factors for tourism participation. For families living in the North, participation in the tourism market is supported by the tourist characteristics of their home region. For families living in the central and southern regions however, economic conditions of the area where they reside appear to be more significant.