1,721,019 research outputs found
I servizi all'internalizzazione delle Pmi in Italia: un'analisi del matching tra domanda e offerta
No full textFriendly neighbours! The role of community-level drivers in the territorial distribution of same-sex couples in Italy
No full textEnergie Sisma Emilia. Guida all'utilizzo dei database dell'indagine 'Energie_I400'
Full text linkAfter the series of earthquakes that occurred in Emilia-Romagna (Italy) in May 2012, the research
team based in the Department of Economics of the University of Modena and Reggio Emilia started
research activities to investigate the socio-economic impact due to the shock. When analysing the
effects of the earthquake on the living and working conditions of the population, a critical issue is the
availability of relevant data. Thus, within the applied research ‘Energie Sisma Emilia’, in 2015 the
research team realized a survey on a sample of 400 families living in the area affected by the
earthquake. The survey was based on the same questionnaire adopted in the previous research
ICESmo3 (carried on in Summer 2012) investigating the socio-economic conditions of families
living in the same area. The 2015 questionnaire includes additional sections on the effects of the
earthquake on social capital and consumption behaviour. Data are under analysis and will be
presented in public events and publications. The dataset will be made available on request at the end
of the research project.
The goal of this paper is to return the main methodological aspects, and to present the principles that
guided management of data and that drive the use of databases. Section I describes the main issues
addressed by the ‘Energie Sisma Emilia’ project. Section II introduces the general survey settings;
the sample characteristics; and the elaboration of sample weights. Section III describes the details of
the informational basis (organization of specific databases, codebook and command files developed
to generate databases in format Stata13). Section IV presents the criteria that align the databases and
the questionnaire: variables management was originally handled to allow researchers to easily
retrieve information from the syntax of the variable labels, and to automatize future elaborations.
Section V concludes with operational indications in using ‘Stata Survey’ to produce inferential
analysis
Un Paese fra Declino e Ineguaglianze (1998-2009)
No full textLa discussione se l’Italia stia declinando o meno ha subito fasi alternenell’ultimo decennio. Nelle analisi degli anni pass
ati si è spesso fatto riferimento a fattori e variabili diverse che vanno dal forte cal
o dell’importanza dell’industria manifatturiera nell’economia del paese, alla riduzi
one delle quote di esportazioni sui
mercati internazionali in termini di quantità, anch
e se con una maggiore tenuta delle
esportazioni in termini di valore in euro, alla sta
gnazione degli investimenti
provenienti e diretti verso l’estero, alla cronica
modestia dei finanziamenti in ricerca
e sviluppo e in formazione
The territorial dimension of environmental sustainability in Italy along the urban–rural continuum
No full textSingle territories contribute in different ways to the transition towards a more environmentally sustainable development (SD), according to their structural features. This study returns a multi-dimensional picture of the territorial divides of environmental sustainability across Italy, analysing how it correlates with rurality, with a focus on the urban–rural continuum. Italy represents an interesting case study because of its peculiar territorial urban–rural structure. We first assess the environmental sustainability targets across Italian NUTS 3 regions and their capital cities using two composite sustainability indexes, by referring to both standard values (i.e. conforming to legislation) and optimum values (i.e. desired values). Then, we investigate the relationship between environmental sustainability and rurality. Results suggest that a positive link between the two exists, being stronger at city level. Among major policy implications, the environmental dimensions of territorial cohesion should be integrated more strongly in key European policies to reach a more balanced SD
Earthquake hazard in Italy Cluster analysis of socio-economic data to inform place-based policy measures
Full text linkThe Italian Government launched the Piano Casa Italia immediately after the series of massive earthquakes that struck Central Italy in 2016, following the 2009 earthquake in L'Aquila and the one in 2012 in Emilia-Romagna. The cumulative impact of human losses and economic and social uncertainty produced by the last disaster in 2016 has spurred political decision-makers to advocate an ambitious long-term intervention, aimed at restructuring Italian public buildings and houses over the next decades. Italy has experienced only one other era of similar schemes with the controversial interventions lasting for more than thirty years of the Cassa del Mezzogiorno, which started in the 1950s to cope with the country's dual economic condition. Since then, no other long-term ambitious plan has been attempted in Italy and a similar planning perspective is nowadays far from the experience of most public managers, policy makers and even scholars of economics and development. The ongoing challenges that the Piano Casa Italia has to face are multifaceted: political, economic and social. Challenges pertaining to the agents asked to design the scheme, to implement it and to accept it. The overall perspective of structural change will mark its implementation. This paper is a first contribution within a broader framework to outline the conditions characterizing those challenges and the paths of change that will be initiated by realizing the Plan. The paper suggests taking an analytical perspective to support informed policy measures, in four complementary domains: emergency (National Civil Protection), recovery (Struttura Commissariale), risk reduction (Piano Casa Italia), socio-economic development (National Strategy for Inner Areas). The present contribution starts with a preliminary step, in line with the Sendai Framework for disaster risk reduction (UNISDR 2015): a detailed analysis of the socio-economic, demographic and geographic conditions across Italian territorial areas, at a municipality level. This work explicitly aims to single out these features, by focusing both on seismic zones and on regions. The paper also returns the results of a cluster analysis performed at municipality level across Italy and concludes discussing some implications for place-based policy interventions
The impact of climate change on land productivity. A micro-level assessment for Italian farms
No full textCONTEXT: Both long-term climate trend and interannual climate variability are projected to affect agricultural activities. Actually, major changes in climate patterns have already occurred, affecting crop yields and livestock productivity. OBJECTIVE: This study aims to assess the effects of both interannual temperature and precipitation variability and long-term climate trend on the land productivity of Italian farms. Italy represents an interesting example, as the country is largely affected by the effects of climate change and climate variability, and its agricultural sector shows heterogeneous conditions, including climatic, topographical and socio-economic features. METHODS: The methodological approach considers the effects on land productivity of a set of farm structural and economic characteristics and climate-related variables, by considering farm-level data. A dynamic panel model is estimated via System Generalized Method-of-Moments using a constant panel of 2051 farms observed..
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