1,721,079 research outputs found
Milan’s Olympic ambitions reach new heights
No full textMilan will host the 2026 Winter Olympics together with Cortina: as happened with Expo 2015, Milan’s
attractiveness can further increase, continuing a trend that, since 2013, although partially interrupted by
the pandemic experience, has been steadily increasing.
An international sports event has economic repercussions that affect sports in a strict sense but also the
indirect effects that stem from the event. Milan will therefore become even more of a sports city, along
with Cortina, with significant implications for social, economic, and environmental sustainability.
International events, such as the Olympics, represent a moment of discontinuity for the cities that host
them: there is a before and after, a series of growth opportunities that can be measured in terms of legacy.
It will be crucial to analyze whether the cultural impact on the region will be enduring. The approach to
diversity and inclusion, with the combination of the Olympics and Paralympics, can leave a long-term
imprint
Building the future with demography
No full textWhile demographic change may seem slow and unnoticeable, its impact on the economic, social, and
political future of a country is profound. This is particularly evident in Italy, the third oldest country
in the world after Monaco and Japan. Growing longevity and the coexistence of multiple generations
within families, organizations, and markets require a rethinking of education and integration
policies. Embracing a demographic perspective can facilitate the development of innovative public
policies and sustainable business strategies
Search for a new home: refugee stock and Google search
Full text linkFollowing the assumption that trends of online queries may indicate intentions and help to predict human behavior, this study addresses the general issue of analyzing, nowcasting, and predicting migrant decisions through an analysis of Google search patterns in the case of Syrians in Turkey. Aiming to contribute to the literature on predicting migration patterns, we examine the relationship between Google search queries for province names in Turkey and the number of Syrians under temporary protection across provinces from January 2016 to December 2019 and demonstrate a positive and significant association. Then, we explore the predictive power of Google searches in predicting the stock of Syrians under temporary protection in Turkey across provinces. We exploit the alphabetical difference between Turkish and Arabic as the method of differentiation between host and migrant populations. Our findings indicate that Google searches can be good predictors for estimating refugee stocks, especially when traditional data are not available. They can also be helpful in forecasting the changing pattern of migrant stocks at frequent intervals, to which conventional socioeconomic indicators are less sensitive due to their less frequent reporting periods
Spatial analysis of socio-demographic discrete time event histories: an application to home-leaving in Italy
No full textIn this paper we deal with the use of computationally complex methods in the spatial analysis of discrete-time event histories. We present an application to home-leaving data of young Italian adults. The main goal is to explore the spatially-related patterns of behaviour at a relatively fine level, by using a flexible model in conjunction with MCMC inference. We also build maps of the pattern
Demography: Fast and Slow
Full text linkScientific ideas on the human population tend to be rooted in a “slow demography” paradigm, which emphasizes an inertial, predictable, self‐contained view of population dynamics, mostly dependent on fertility and mortality. Yet, demography can also move fast. At the country level, it is crucial to empirically assess how fast demography moves by taking migratory movements into account, in addition to fertility and mortality. We discuss these ideas and present new estimates of the speed of population change, that is, country‐level population turnover rates, as well as the share of turnover due to migration, for all countries in the world with available data between 1990 and 2020. Population turnover is inversely related to population size and development, and migratory movements tend to become important factors in shaping demography for both small and highly developed countries. Longitudinally, we analyze annual turnover data for Italy and Germany, documenting the changing speed of population change over time and its determinants. Accepting the “fast and slow” demography perspective has several implications for science and policy, which we discuss
Leaving the parental home during the COVID-19 pandemic: the case of Southern Europe
Full text linkIn 2020, COVID-19-related governmental restrictions forced individuals to radically change their habits, possibly impacting on their living arrangements. Whether COVID-19 affected young adults’ propensity to leave the parental home is still unknown; Southern Europe is of particular interest, as youth experience the “latest-late” transition to adulthood, face uncertainty in the labor market, and receive low welfare support. Using EU-SILC longitudinal data from Greece, Spain, Italy, and Portugal, this study examines how home-leaving rates evolved in the short-term and explores the relationship between governmental restrictions, economic characteristics of households and young adults, and leaving home behaviors. Descriptive analyses reveal that the share of young adults leaving the parental home in Southern Europe between 2019 and 2020 slightly increased compared to previous years. Discrete-time event history models show that the propensity to leave the parental home increases with the stringency of policy measures. Young adults with the highest likelihood to leave home are employed individuals whose households are in the lowest income quintile as well as students from the highest income quintile, suggesting that, in these countries, residential independence is associated with either the acquisition of economic resources in the labor market or the availability of family resources. We interpret this result in favor of an “independence effect” exerted by COVID-19-related restrictions on young adults; future research might establish whether this trend is temporary or persistent over time
Do family support environments influence fertility? Evidence from 20 European countries
No full textUsing data from two recent waves of the European Social Survey, we examine the relationship between macro-level supports for child rearing and individual-level fertility outcomes. We characterize country-level support environments across a broader set of domains than is typical, including supports from institutions, labor markets, extended families, and male partners. With rare exceptions, we find significant relationships between family support environment indicators and second or higher order births. In contrast, the relationship between family support environment indicators and first births is weaker and less often significant. This pattern accords with theory that practical considerations are more important for the second and subsequent births than for the transition to parenthood. Although most forms of support are positively related to fertility, we document a negative relationship between intergenerational exchange of support and higher order fertility. Our analyses also reveal that macro-level support environments are related to childbearing plans in much the same way as they are related to having a child, buttressing the argument that understanding the determinants of childbearing plans can help us to understand childbearing behavior
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