Economic losses in tourism during the COVID-19 pandemic. The case of Sorrento

The tourism sector is facing its most severe crisis under the COVID-19 pandemic. Social distancing measures, global travel restrictions, stay-athome orders, and other lockdown measures brought tourism to a halt in 2020. We estimate the potential economic losses thereof in terms of added value and number of tourists by nationality. By using the city of Sorrento as prominent and representative case study, we implement time-series analysis with autoregressive-integrated moving average models on monthly data from January 2013 to December 2019. We thus forecast the loss of tourists and added value in 2020. The results reveal that the pandemic has significantly affected the tourism sector, the added value of tourism in Sorrento might decrease by over 70%, and tourist arrivals might similarly fall or even reach zero foreign arrivals. The local government should reassess the sustainability of tourism proposals by factoring in the lack of tourist arrivals and focusing on loyal tourists and proximity tourists, two fundamental target audiences

Campania and cancer mortality: An inseparable pair? The role of environmental quality and socio-economic deprivation

The region of Campania in Southern Italy features high levels of socio-economic deprivation and low levels of environmental quality. A vast strand of the scientific literature has tried to verify whether poor environmental quality and widespread socio-economic deprivation might explain the high cancer mortality rates (CMRs) observed, especially in the municipalities – infamously labelled as the ‘Land of Fires’ – that were hit most severely by the crisis. While some studies managed to identify links between these two confounding factors and cancer mortality, the evidence is overall mixed. Interesting information may be drawn from the observation of municipal data: in spite of previous claims, some municipalities featuring high environmental quality and low socio-economic deprivation also display high CMRs, while other Campanian municipalities facing disastrous environmental and socio-economic conditions are characterised by low CMRs. These figures, in contrast to common sentiment and previous studies, need to be investigated thoroughly in order to assess the exact role of the confounding factors. In this work, we aim to identify the municipalities where confounding factors act as driving forces in the determination of high CMRs through an original multi-step analysis based on frequentist and Bayesian analysis. Pinpointing these municipalities could allow policymakers to design targeted and effective policy measures aimed at reducing cancer mortality

Disinflation costs in China and monetary policy regimes

This paper investigates the real effects of a disinflationary policy in China, in which we conduct a disinflation experiment in a medium-scale New Keynesian model. We highlight two key features of China's economy: the relevance of money to monetary policy rules and household inequality. For the former, we consider two monetary policy regimes: an expanded Taylor rule with money and a money supply rule. For the latter, we take into account a share of the population that is limited in its ability to participate in assets markets. Our analysis suggests that a disinflation policy is more costly when the central bank controls the money supply than the case in which the nominal interest rate is the policy instrument. Our results are driven by the different impacts of disinflation on nominal and real interest rates under the two regimes

A long-term analysis of efficiency in the Italian banking system from 1861 to 2010

In this paper, we analyse the performance of the Italian banking system in the 1861–2010 period. In this regard, we apply a stochastic frontier analysis cum ARDL procedure. First, we implement stochastic frontier analysis to the cost function of the Italian banking system in order to identify the years in which the banking system allocated its resources most efficiently. To this end, we propose a version of the stochastic frontier in which the inefficiency term is modelled as a linear function of the capital ratio and of the non-core ratio. The underlying hypothesis is that the efficiency of the banking system is guided by its degree of solvency and stability (capital ratio and non-core ratio, respectively). Finally, in order to verify the existence and stability of a long-term relationship between banking efficiency and capital ratio and non-core-ratio, we implement ARDL estimation. In so doing, we verify whether solvency and stability are two important factors in determining the efficiency of the Italian banking system in the long run. We show that the efficiency of the banking system is influenced negatively by the non-core ratio and positively by the capital ratio, respectively. Finally, only the non-core ratio influences the efficiency of the Italian banking system in the long run

Laws for the Right to Work of Disabled People: The Italian Experience

This scholarly handbook covers all aspects of people with disabilities entering the workplace, including the legal aspects, transitions, types, and levels of employments, the impact of different disabilities, and the consideration of the intersection of disability with other identities such as gender and ethnicity. Comprehensive in scope, chapters look beyond organizational strategies that accommodate an employee’s disability and use case studies to highlight important issues and the individual’s perspective. The handbook concludes with a reflection on the work included in the book, what was not included and why, and makes recommendations for future disability research. Marking a major contribution to the study of workplace diversity and bringing together academics from various disciplines and global regions, this handbook covers a truly broad and diverse mix of approaches, theories, and models

Does national environmental regulation promote convergence in separate waste collection? Evidence from Italy

In the European Union, which is increasingly oriented towards environmentally sustainable development, separate waste collection plays a crucial role. Over the years, the EU has produced several guidelines, programmes and directives aimed to build a green society and tone down the differences between, as well as within, Member States. In Italy, the waste management system is currently regulated by Legislative Decree 152/2006, through which European directives have been incorporated into the Italian law. The existing literature has focused on the effects of L.D. 152/2006 on Separate Waste Collection (SWC) rates; however, there are not previous studies on the effects of this decree on growth rates and on convergence process among regions in terms of SWC and its items (i.e., organic, plastic, paper, and glass). This paper aims to fill these gaps. For this purpose, we implement b- and s-convergence analysis based on Generalised Method of Moments (GMM) on official Italian regional data over the period 2001e2018. Results show that Legislative Decree 152/2006 has two contrasting effects: on the one hand, it helped increase separate waste collection; on the other hand, it slowed down the convergence process in terms of separate waste collection among the Italian regions. However, the convergence process is characterised by different speeds across Italian macro-areas (Northern, Central, and Southern Italy), highlighting a three-speed country. To foster convergence, the national legislation should consider regional differences in terms of economic, infrastructural, institutional, social, and demographic characteristics

Inequality and regressivity in Italian waste taxation. Is there an alternative route?

The Italian financing system for waste collection and disposal services, still far from a price-based system at the national level, is similar to a real property tax system. Among other concerns, this raises equity issues. The aim of this paper is threefold. First, the structure of the waste tax in its components (i.e., fixed and variable) is analysed at the provincial level. This allows to investigate the magnitude of the two tax components in Italian provinces, while showing the differences among macro-areas in the financing system for waste collection and disposal services. Second, the regressivity (progressivity) of the tax system adopted is investigated, so as to highlight the differences among geographical areas. Third, an alternative base for the waste tax is proposed, in order to avoid regressivity and achieve higher equality. For these purposes, official data referring to 2017 are used and a Geographically Weighted Regression is implemented. The results highlight the importance of an alternative base of the waste tax to design an equal and non-regressive tax, more similar to a Pay-As-You-Throw scheme

A Regional Perspective on Social Exclusion in European Regions: Context, Trends and Policy Implications

Social exclusion has become a popular topic in the policy agendas of European governments, especially after the global financial crisis of 2007–2009 hit the continent as hard as it could. The existing literature highlights the presence of spatial patterns in social exclusion, although previous contributions consist of local or national level studies, lacking a broader continental perspective. This work resorts to regional data covering 20 EU countries and aims to characterise the nature of spatial patterns, distinguishing between spatial heterogeneity and pure spatial autocorrelation. Using the Spatial Markov Chain Matrix, we find that the strong clusterisation process unfolded by previous studies tends to become less intense if the role of socio-economic covariates is taken into account. Socio-economic factors represent in other words a containment cage that reduces the extent of neighbour influence. Net of the covariates, we identify clusters of regions in Southern Europe where high levels of social exclusion constitute a structural problem, calling for long-term public intervention. The policy implications of our findings are then outlined

The separate collection of recyclable waste materials as a fywheel for the circular economy: the role of institutional quality and socio‑economic factors

The separate collection of individual recyclable waste materials is the basis for any recycling process. This produces important advantages, especially in terms of resource savings. This paper investigates the drivers of the separate collection process of recyclable materials (i.e., organic, paper, glass, plastic) and its total in the 103 Italian provinces (NUTS-3), in the years 2004–2011. Results show that the pillars of institutional quality (such as, voice and accountability, rule of law and regulatory quality), value added per capita and participation to ecological associations are important factors for an effective implementation of the waste separation process. In particular, these factors do matter for an effective collection of organic waste, paper, glass and plastic. Furthermore, the analysis shows marked differences among macro-areas (North, Central and Southern Italy). Policy considerations are discussed

A Regional Perspective on Social Exclusion in European Regions: Context, Trends and Policy Implications

Social exclusion has become a popular topic in the policy agendas of European governments, especially after the global financial crisis of 2007–2009 hit the continent as hard as it could. The existing literature highlights the presence of spatial patterns in social exclusion, although previous contributions consist of local or national level studies, lacking a broader continental perspective. This work resorts to regional data covering 20 EU countries and aims to characterise the nature of spatial patterns, distinguishing between spatial heterogeneity and pure spatial autocorrelation. Using the Spatial Markov Chain Matrix, we find that the strong clusterisation process unfolded by previous studies tends to become less intense if the role of socio-economic covariates is taken into account. Socio-economic factors represent in other words a containment cage that reduces the extent of neighbour influence. Net of the covariates, we identify clusters of regions in Southern Europe where high levels of social exclusion constitute a structural problem, calling for long-term public intervention. The policy implications of our findings are then outlined