1,721,111 research outputs found
Indicators Definition: Non Compensatory Methods
Talking about quantitative statistical methods, the difference between compensatory
and noncompensatory methods is often debated in literature. The use of
noncompensatory methods is increasing for how it concerns the analysis of multidimensional
systems. The noncompensatory approach permits to overcome problems related
to the nonsubstitutability of the selected indicators. This approach, inserted in a precise
conceptual framework, allows to analyze a phenomenon in a less equivocal way.
However, it is not always clear when it is correct, from a theoretical point of view, to
use a method of compensatory nature and what are the advantages and implications of
applying a partially noncompensatory method. An attempt can be made to provide clear
notions about the criteria for choosing partially noncompensatory methods.
Starting with the debate about compensatory and noncompensatory methods of analysis
and their evolution over time in the first paragraph, in the second paragraph hints
about noncompensatory applications to case studies are provided
Un indicatore non compensativo del turismo nelle province costiere italiane
Tramite questo studio si vuole analizzare la dimensione turistica delle province costiere
italiane, volgendo l’attenzione sui fattori eco-ambientali che le caratterizzano. Contestualmente, è
stata analizzata l’incidenza degli elementi logistici e infrastrutturali per determinare quali effetti
producono sui flussi turistici. Si procederà quindi alla comparazione di due diversi indici: l’Indice
Turistico includerà al proprio interno gli indicatori relativi a tutte e tre le dimensioni; l’Indice di
Qualità Turistica, riferito ai soli elementi ambientali. L’aggregazione è stata effettuata utilizzando
il metodo quantitativo aggregativo non-compensativo MPI, grazie al quale è stato possibile
limitare l’effetto di compensazione dovuto alla presenza di variabili con valori disomogenei
Deprivation and Regional Cohesion as Challenges to Sustainability: Evidence from Italy and Greece
Italy and Greece share many structural and economic similarities, including
high regional disparities and marked asymmetries between dynamic metropolitan areas
and structurally weaker regions. Both countries also face high public debt and an aging population, conditions worsened by recent economic crises. These challenges have
significant implications for sustainability, as economic hardship often leads to inefficient
resource use, underinvestment in green infrastructure, and socially unsustainable outcomes.
Promoting socio-economic and environmental sustainability thus requires addressing territorial inequalities through integrated policies that balance growth, equity, and ecological
responsibility. This study introduces a spatiotemporal application of the Peña Distance
(DP2) method, allowing for a dynamic and multidimensional analysis of socio-economic
deprivation at the NUTS 1 level. The results confirm persistent disadvantages in remote
Greek regions and Southern Italy, where youth outmigration and limited development
opportunities are prevalent. These regions are affected by multiple, interconnected forms
of vulnerability that compromise their prospects for long-term sustainable development,
underlining the need for timely and coordinated interventions across different policy levels
Come coniugare efficienza e qualità delle cure: modelli e metodi quantitativi per la riorganizzazione dei servizi sanitari
Il volume raccoglie i risultati della ricerca effettuata nell’ambito del Dipartimento di Economia e Metodi quantitativi nel campo proprio dell’economia sanitaria nel periodo 2003-2008. La ricerca economica in campo sanitario ha lo scopo speci-fico di aiutare il policy maker a prendere decisioni “informate”, basate su "prove scientifiche" e sulla "evidenza pratica", cercando di rendere compatibili tra di loro i diversi punti di vista, ossia lo scopo finale del sistema sanitario (salute) con le risorse a disposizione. Nel titolo del volume è sintetizzato questo obiettivo specifico che consiste nel rendere possibili decisioni efficaci, appropriate e di qualità che siano anche congrue dal punto di vista della sostenibilità del sistem
International Index
International indexes are developed in order to monitor the conditions, under different sizes and from different perspectives, of the different countries. For an index to be considered robust, it must strictly comply with the conditions defined and shared by the world's major statistical organizations. Compliance with certain parameters is essential if the index is to faithfully reflect a certain reality.
The scope of statistical methods used to construct indexes is wide. It is possible to identify multiple types of indexes with an international dimension, used to measure performance in geographical areas, countries or regions. The main areas for which indexes are constructed include health, education and culture, agriculture and development, gender, environment, poverty and deprivation, science, technology and digital development, democracy and freedom.
An analysis based on quantitative statistical tools is the starting point for the definition of public policies at various levels of government, as well as a valid way of monitoring the entire process of development and their impact in economic and social terms. Moreover, the indexes play a very important communicative role; the data, presented through suitable visual and tabular supports, is an effective vehicle of information to the public
Foreword to Productivity Growth in the Manufacturing Sector: Mitigating Global Recession
Material Deprivation
One of the best-known definitions of “material deprivation” is provided by
Townsend, according to which material deprivation refers to “a state of observable and
demonstrable disadvantage in relation to the local community or the wider society or
nation to which an individual, family or group belongs. The idea has come to be applied
to conditions (that is, physical, environmental, and social status or circumstances) rather
than resources and to specific and not only general circumstances, and therefore can be
distinguished from the concept of poverty. The former sure enough can’t be context free;
it applies to specific circumstances and physical, environmental, and social conditions.
Material deprivation is a complex phenomenon, as it concerns multiple aspects of reality
and can be measured in different ways. In this paper, our aim is to highlight the most
important elements of deprivation, aswell as the analytical assumptions (often underlying
and overlooked) that constitute the cornerstone of his study
Is Economical and Social Development Really Linked with the Shift of Labour from Secondary to Tertiary Sector? Evidence from the Italian Case
In the present paper, first, we have carried out a study about regional deprivation in Italy and tested it with a
variable test (in this case, life expectancy at birth) to estimate its goodness. RDI index is linked with life
expectancy at birth about 60%.
Then we have divided Italian Regions into five different classes, from the “best” (less deprived) to the “worst”
(much deprived) one. In each group we have examined the working population in every sector and the share of
labourers in primary, secondary and tertiary sector, in order to verify the usual argument according to which
growth and socio-economic development go with the boost of tertiary. The tertiary sector is determined
according to ISTAT definition, which includes public administration. However, in a further step of our analysis
we separate private from public tertiary. The evolution towards the advanced “post-industrial” society is
apparently proved wrong in this case
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