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Record W47293513

The Transformation of Economic Structure and Its Environmental Implications for a Digital City: An Input-Output Analysis for Austin, Texas */ la Transformation De la Structure Economique D'une Ville Digitale et Ses Implications Environnementales

2005· article· fr· W47293513 on OpenAlexvenueno aff
Wei Tu, Daniel Z. Sui

Bibliographic record

VenueCanadian Journal of Regional Science · 2005
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicRegional Economics and Spatial Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Information and Communications TechnologyWelfare economicsEconomyRegional sciencePolitical scienceHumanitiesSociologyGeographyEconomicsArt
DOInot available

Abstract

fetched live from OpenAlex

An Input-output Analysis for Austin, Set in the context of current discussions on the digital city, this paper presents an empirical analysis of the transformation of economic structure and examines its environmental implications for Austin, Texas. This paper traces the evolution of Austin from a college town to a technopolis specializing in information and communication technology (ICT), and the concomitant environmental implications. authors urge policymakers and urban managers to pay more attention to three types of environmental problems in Austin in particular and other rising digital cities in general: 1) environmental impacts of the ICT sectors; 2) indirect impacts of non-manufacturing economic sectors such as information and service sectors; and 3) the consumption side of the economy. authors argue that it is high time that new policy initiatives were examined to harness the power of the new economy to achieve the goals of sustainable development in the information age. Situe dans le contexte des discussions courantes sur la ville digitale, cet article presente une analyse empirique de la transformation de la structure economique et examine ses implications environnementales pour Austin, Texas. L'article trace l'evolution d'Austin, d'une ville universitaire a une technopole se specialisant dans les technologies de l'information et de communication (ICT), et les implications environnementales concomitantes. Les auteurs demandent plus d'attention des planificateurs et amenageurs urbains sur trois types de problemes ecologiques generaux, observes tant a Austin que dans d'autres villes digitales en .mergence: 1) l'impact des secteurs de I'ICT sur l'environnement; 2) les impacts indirects des secteurs economiques non manufacturiers, tels que les secteurs de l'information et des services; et 3) les dimensions de la consommation dans cette economie. Ils pretendent aussi qu'il est temps d'examiner des nouvelles initiatives de politique pour permettre a la nouvelle economie d'atteindre les buts du developpement soutenable a l'ere de l' information. Introduction and Research Background Since the publication of Manuel Castells' (1989) The Informational City, over the past 15 years urban scholars have increasingly paid attention to the role of information and communication technologies (ICY) on urban development (Graham 2004). A new form of city--digital cities in the space of electronic information flows--has emerged to rival physical cities that have existed since the dawn of civilization. Although scholars from various academic disciplines interpret the concept of digital cities differently (Mitchell 1995; Rupprecht Consult 1998; Horan 2000; Ishida 2000; Batty 2001; Goodchild 2001), they generally agree that ICT has become the backbone and penetrated into almost all major aspects of urban life in digital cities (Ishida and Isbister 2000; McCullough 2004). Computers were first introduced as a tool to study cities in the late 1950s, but with the emergence of digital cities by the late 1990s, computers became an integral part of the city we were studying using the very same computers (Sui 1997; Mitchell 1999, 2004). ICT technologies have altered the spatial and temporal types of urban life in many fundamental ways as they emerge as an integral part of global network of productions in many cities (Roper and Grimes 2004). traditional, real cities with spatial agglomeration of both commercial and non-commercial activities annihilate time by space via the morphology of the compact city whereas digital, virtual cities are characterized by the annihilation of space by time via a much more decentralized urban form knitted together by ICT technologies (Graham and Marvin 1996). rapid transformation of cities by ICT technology has resulted in a global urban splinterism (Graham 2000; Graham and Marvin 2001) with far-reaching consequences in multiple domains. Couleclis (2004) argues that the concept of digital cities is a multilayered identity that can be understood as the intersection of three domains: a physical urban area, urban population, and network society (Figure 1). …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.683
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.240
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2005
Admission routes1
Has abstractyes

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