Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Il determinismo geografico nelle relazioni tra trasformazione digitale ed economia della conoscenza alla scala urbana

Geographical determinism in the relations between the digital transformation and the knowledge economy at the urban scale

Il determinismo geografico nelle relazioni tra trasformazione digitale ed economia della conoscenza alla scala urbana

Abstract

La globalizzazione dell'economia, accompagnata dall'emergere di modelli di potere transnazionali, ha profondamente alterato il tessuto sociale, economico e politico di vaste aree e, in particolare, delle città globali (Sassen, 1991), luoghi di intersezione tra globale e locale, centri di snodo per commerci, finanza e attività bancarie. Tale fenomeno, tipico degli anni ’90, ha preceduto la imponente diffusione delle smart cities, che ha esaltato i paradigmi relativi all’economia della conoscenza ed alla rasformazione digitale delle città. In tale scenario, appare interessante indagare analiticamente, alla scala urbana, il rapporto tra i consolidati drivers dello sviluppo, in relazione a variabili geografiche di influenza. Il presente contributo, pertanto, a partire da una riflessione critica sul tema, ambisce a riportare evidenze analitiche della presenza di un determinismo geografico relativo alla intensità della correlazione fe-nomenologica tra l’economia della conoscenza e la trasformazione digitale, dimostrando che fattori geografici riferibili alla dimensione urbana e alla localizzazione possono rafforzare l’entità del legame causale. La valenza dei risultati ricercati si manifesta, sul piano teorico, nella possibilità di disporre di accurati modelli causali che governano le dinamiche di sviluppo urbano inerenti ai paradigmi analizzati e, sul piano pratico, nella possibilità, per gli amministratori locali e gli addetti ai lavori, di caratterizzare la pianificazione delle attività in funzione di variabili di contesto.

The globalization of the economy, accompanied by the emergence of transnational power models, has profoundly altered the social, economic and political fabric of vast areas and, particularly, that of global cities (Sassen, 1991), places of intersection between global and local, junction centres for trade, finance and banking activities. This phenomenon, typical of the 90s, preceded the massive diffusion of smart cities, which enhanced the paradigms relating to the knowledge economy and the digital transformation of cities. In this scenario, it is interesting to investigate analytically, at the urban scale, the relationship between the established drivers of development, in relation to geographical variables of influence. The present contribute, therefore, starting from a critical reflection on the subject, aims to bring analytical evidence of the presence of a geographical determinism relative to the intensity of the phenomenological correlation between the knowledge economy and digital transformation, showing that geographic factors related to urban size and location can strengthen the causal link. The value of the results is twofold, on a theoretical level, consists in the possibility of having accurate causal models that govern the dynamics of urban development inherent to the paradigms analysed and, on a practical level, in the possibility, for local administrators and experts, of characterize the planning of the activities, according to context variables.

Country
Italy
Keywords

Trasformazione Digitale, Urban Scale, Economia della Conoscenza, Scala Urbana, Digital Transformation, Correlazione, Knowledge Economy, Correlation

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    Powered byBIP!BIP!
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Assessing the socio-economic impact of digitalisation in rural areas
moresidebar

Do the share buttons not appear? Please make sure, any blocking addon is disabled, and then reload the page.