Politiche pubbliche per la stagionalità del turismo da una prospettiva territoriale. Casi di studio in Scozia e in Sardegna

Rita Cannas presents a PhD thesis in Economics (Geo-Economic curriculum) which is titled “Public Policies for Seasonality in Tourism from a Territorial Perspective. Case Studies in Scotland and Sardinia”. The specific area of the research is public policies for contrasting seasonality in tourism in peripheral areas. Seasonality has seen such as a problem in terms of social and economics patterns especially for those local communities which are situated in peripheral areas. The research explores what, how and for who, public policies, that have been in place in Scotland and Sardinia over the last 10-5 years, are working and what kind of results these have produced. The research has empirical and theoretical implications for studying tourism seasonality. It aims to highlight the local supply patterns of the phenomenon investigated, and to improve knowledge about the strategies and the policies that have been adopted in the two territorial contexts (Scotland and Sardinia) for contrasting or modifying seasonality in tourism. The type of subject and the research questions have suggested the adoption of an interpretative theoretical perspective and a qualitative methodological approach, although a set of quantitative secondary data is also required for understanding main tourism's characteristics and for analyzing the specificity of seasonality. Interview with key actors of the local system in Scotland and Sardinia is the method chosen to collect primary data. In total the researcher has done 20 interviews in deep. Case studies are chosen both as unity of analysis and research strategy. The main findings of the research show a different and complex scenario about quality and quantity of public policies and strategies in tourism in the two case studies. The role of local resources is quite strategic on delivering tourism services and on counteracting seasonality. Events, festival are the main demand-side strategies. From a supply-side the principles policies are focused on quality of services, technology, high skills, sustainability. Partnership between public and private sector seems to be a fundamental way to work in order to attain changes and outcomes. The research has a strong research design, provides coherent results, and it has been done paying attention to the validation of the whole process.

Sea-Level climate variability in the Mediterranean Sea

Sea-level variability is characterized by multiple interacting factors described in the Fourth Assessment Report (Bindoff et al., 2007) of the Intergovernmental Panel on Climate Change (IPCC) that act over wide spectra of temporal and spatial scales. In Church et al. (2010) sea-level variability and changes are defined as manifestations of climate variability and change. The European Environmental Agency (EEA) defines sea level as one of most important indicators for monitoring climate change, as it integrates the response of different components of the Earths system and is also affected by anthropogenic contributions (EEA, 2011). The balance between the different sea-level contributions represents an important source of uncertainty, involving stochastic processes that are very difficult to describe and understand in detail, to the point that they are defined as an enigma in Munk (2002). Sea-level rate estimates are affected by all these uncertainties, in particular if we look at possible responses to sea-level contributions to future climate. At the regional scale, lateral fluxes also contribute to sea-level variability, adding complexity to sea-level dynamics. The research strategy adopted in this work to approach such an interesting and challenging topic has been to develop an objective methodology to study sea-level variability at different temporal and spatial scales, applicable in each part of the Mediterranean basin in particular, and in the global ocean in general, using all the best calibrated sources of data (for the Mediterranean): in-situ, remote-sensig and numerical models data. The global objective of this work was to achieve a deep understanding of all of the components of the sea-level signal contributing to sea-level variability, tendency and trend and to quantify them.