Search results

The purpose of this paper is to investigate the changes in well-being in the Italian reality, in particular, through the study of major cities. The study is based on a set of data provided by the Italian Institute of Statistics (ISTAT) with the aim to highlight the Italian urban situation and the comparison between the well-being situation assessed in a pre-crisis context and the one observed after it, in order to understand how events have influenced levels of well-being in the main Italian cities.

The paper aims to examine the quality of life (QoL) levels in the metropolitan cities, using data from the URBES report (a report that provides data and information concerning the Italian urban situation), published in 2013, which investigates QoL and well-being in major Italian cities. It is based on the framework of the “Benessere Equo e Sostenibile” report that appraises well-being in Italian regions by a great deal of variables belonging to 12 different dimensions. Using this data source, the authors will proceed to the construction of a composite well-being index.

The paper intends to show how the well-being level in Italian cities has changed in recent years, taking into consideration ten different dimensions of well-being. The need to consider different dimensions of well-being for its comprehensive evaluation is widely discussed in the literature, and the framework provided by ISTAT is innovative in this sense.

The paper presents an aggregate measure of well-being in Italian cities on the basis of new theoretical concepts and complete and detailed data.

This study investigates the relationship between the strength of innovative entrepreneurial ecosystems and subjective well-being in 43 European smart cities. Subjective well-being is operationalized by a Quality of Life (QOL) survey that references the level of multidimensional satisfaction or happiness expressed by residents at the city level. The entrepreneurial ecosystem concept depicted here highlights actor interdependence that creates new value in a specific community by undertaking innovative entrepreneurial activities. The research uses objective and subjective variables to analyze the relationships between the entrepreneurial ecosystem and subjective well-being.

The authors conducted a cluster analysis with a nonaggregative quantitative approach based on the theory of the partially ordered set (poset); the objective was to find significant smart city level relationships between the entrepreneurial ecosystem and subjective well-being.

The strength of the entrepreneurial ecosystem is positively related to subjective well-being only in large cities. This result confirms a strong interdependency between the creation of innovative entrepreneurial activities and subjective well-being in large cities. The smart cities QOL dimensions showing higher correlations with the entrepreneurial ecosystem include urban welfare, economic well-being and environmental quality, such as information and communications technology (ICT) and mobility.

Despite the main implications being properly referred to large cities, the governments of smart cities should encourage and promote programs to improve citizens' subjective well-being and to create a conducive entrepreneurship environment.

This study is one of the few contributions focused on the relationship between the entrepreneurial smart city ecosystem and subjective well-being in the urban environment.

The purpose of this paper is to answer the following research questions: Is the knowledge of a city environment a stimulus for entrepreneurship? Which knowledge profiles of cities are more propulsive in order to stimulate entrepreneurship?

In order to answer the aforementioned research questions, two multidimensional indexes have been created: Knowledge-Based City Developing Entrepreneurship and Entrepreneurship (ENT). The sample includes all capital cities in the EU28. The presence of cities from EU28 countries is important to foster the entrepreneurial attitude in each European Country. The authors have also included 32 non-capital cities in the EU that are important hubs, contributing to a sample formed of 60 cities.

The empirical results show that the social and cultural environment may significantly improve the entrepreneurship in EU cities, more than others factors that are usually connected to economic development.

The work tries to contribute to the debate on urban economic development and entrepreneurship, providing implication for academics and urban policy makers.

Sustainable development calls for concerted efforts towards building an inclusive, sustainable and resilient future for people and planet. The approach that considers sustainable development as the fight against poverty, through the promotion of a sustainable and equitable economy, as the attempt to reduce polluting emissions to promote environmental protection and as the satisfaction of social goals to increase the well-being of populations is adopted. Sustainability development is therefore a complex and subjective concept, considering the three dimensions that define the phenomenon: economic, environmental and social.

The authors have chosen subjective variables, which provide information on the perception of the ‘sustainable development’ in the European countries. Data come from the database of ‘Eurofound’, the European Foundation for the Improvement of Living and Working Conditions. The authors applied a formative measurement model, according to which indicators are considered as the cause of the phenomenon analysed, unlike with the reflective model. To conduct the quantitative analysis, the authors have adopted a non-compensatory approach: Mazziotta and Pareto index which summarising a set of individual indicators that are assumed to be not fully substitutable. The authors place at the centre of the analysis, variables deriving from the perceptive state of the different European populations, offering new hints to measure sustainable development on the basis of subjective assumptions.

Modern cities are divided into some essential dimensions, according to the definitions of smart cities. Smart cities follow innovation-oriented development standards. A smart city combines multiple aspects, which encourage the birth and blossoming of start-ups. The analysis of smart cities according to subjective variables puts in evidence their potential growth, as well as strengths and weaknesses. On the basis of the Eurostat (2015) survey, the present chapter creates a DP₂ index that singles out the most attractive cities for business activities.

The COVID-19 pandemic, in addition to causing a very serious economic crisis, has slowed the path taken toward achieving gender equality. For example, the closure of third sector activities by governments has meant the loss of many jobs in this female-dominated sector (ILO, 2020; UN, 2020) slowing and hindering the professional careers of many women (Carli, 2020).

The objective of this work is to identify gender differences by analyzing the levels of sustainable development achieved by Italian regions. The Italian case in fact is very peculiar due to its historical territorial gap between the regions of the North (among the most developed) and those of the Center-South, which still show high gender inequalities. A Gender Sustainable Development Index (GSDI) will be constructed through the use of 50 indicators from the Benessere Equo e Sostenibile survey of Istat. The technique used is the stacking method (Landi, Ivaldi, & Testi, 2017; Norman, 2010), which was chosen for its high replicability of results. The results show that only 40% of Italian regions have higher levels of female sustainable development than male sustainable development. Moreover, the regions with the worst levels of both female and male sustainable development are located in the Center-South of the country, confirming the strong territorial gap present within the Italian Peninsula.

Globalization has contributed to unprecedented economic growth but with some criticalities such as increasing inequality, growing environmental degradation, and uncertainty about the future of new generations. In order to remedy this difficult situation, over the years the United Nations (UN) have outlined several sustainable development goals (SDGs) to be achieved at the global level. Given the many facets of the international framework, it can be useful to assess national progress by paying attention to the regional specificities. The Italian case is particularly delicate, since it is characterized by a large gap between the North-Center regions – among the most developed in Europe – and the South – with an economy mainly based on agriculture. Our work aims at quantifying the sustainable development level achieved by the Italian regions. Starting from the theoretical framework of Salvati and Carlucci, we build a composite index to measure the regional sustainable development performance. The method adopted to construct the index is the Pena's distance (DP2). The results confirm the existence of a gap, splitting the country into two parts. The regions of the North and Center-North stand out as the most virtuous, while the Southern regions show a state of backwardness in achieving the SDGs. In addition, we find that where the sustainable development levels are higher, there are higher levels of gross domestic product per capita and less inequality.

The real estate market shows a number of distinctive features that are yet to be clearly understood at the theoretical level, because of the extreme complexity of its nature of both financial instrument and mere commodity. Moreover, as we know, a long lasting speculative bubble in the housing market was one of the main causes of the great recession. The aim of this chapter is to generate an index to explain how inclusive contextual factors influence the price level of real estate in Genoa, Italy. The authors use the non-parametric methodologies of factor analysis and cluster analysis. The results of the analysis suggest that most of the variability in the fluctuation of the average price of properties is strictly connected to the features of the reference context (such as neighbourhood prestige, type and level of education of residents, access to services, etc.). However, the percentage of unjustified price variability is assumed to refer to the incidence of the intrinsic variables of the estate assets.