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Enregistrement W4394835732 · doi:10.1111/cag.12919

Housing booms in gateway cities By DavidLey, West Sussex: Wiley. 2023. 336pages. $41.95 (paperback). ISBN: 9781119853602

2024· article· en· W4394835732 sur OpenAlexaffvenueabout
Jean Michel Montsion

Notice bibliographique

RevueCanadian Geographies / Géographies canadiennes · 2024
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueUrbanization and City Planning
Établissements canadiensYork University
Organismes subventionnairesnon disponible
Mots-clésBoomGateway (web page)Library scienceCitationHistoryArt historyWorld Wide WebEngineeringComputer science

Résumé

récupéré en direct d'OpenAlex

In Housing booms in gateway cities, David Ley sets out “to examine the place of the homeownership market—its price trends, their causes and consequences, and its management by government—in the economy and the society of five gateway cities” (p. 13). Contributing to the discussions on wealth accumulation and housing in asset-based societies, the author builds his study on three precepts: (1) the increasing importance of housing as an investment asset and a popular wealth accumulation strategy, (2) the attractiveness of property markets in gateway cities for investors, and (3) the rise of unaffordable housing in these locales. With a particular focus on the post-2008 period, Ley investigates five gateway locations (Singapore, Hong Kong, Sydney, Vancouver, and London) to explain how the rise of housing prices in each context stems from the particular inter-relationships of local and global processes, notably, the priorities and strategies of elite growth coalitions and government responses to local realities and transnational pressures. Without providing a fully fledged comparison of the five cases, the author shows how the circumstances in each gateway city resonate with one another in that they face similar pressures, follow similar trends, and provoke similar government dilemmas. Each empirical chapter takes a deep dive into the housing market of one gateway city, highlighting the complex and evolving inter-connections between national sociodemographic and economic trends, global and geopolitical pressures, national political framings, and other significant local social realities. The chapter on Singapore shows that homeownership has long been framed as a form of asset-based welfare within the government's nation-building agenda, which has resulted in careful and sustained government interventions in the housing market over time (Singapore is presented as the outlier case). Moving to Hong Kong, Ley shows how the dynamics of the local housing market contribute to and are part of a growing class divide between owners and renters, mostly due to an unchecked elite growth coalition centred around global property developers. The study of Sydney adds to this mix the responsibility of governments in encouraging local and global investors to participate in the local housing market, often in a way that replaces an explicit housing policy with financial and tax measures. In Vancouver, Ley documents governments’ reluctance to acknowledge and resolve dysfunctional aspects of the local housing market, as well as recent efforts to reregulate the sector and address housing supply and affordability. Finally, in his study of London, and more specifically, the “season of excess” (p. 184) during the 2012 Olympics, the author highlights the key role of decades-old austerity policies and a neoliberal mindset restricting governments’ ability to deliver affordable housing and address rising inequalities. Whereas the empirical chapters provide valuable insights into the similar pressures and particular dynamics affecting the various locales, the introductory and concluding chapters ground the conceptual significance of studying affordability in the housing market to deepen our understanding of the contemporary dynamics of gateway cities. Ley puts forth highly relevant and carefully crafted observations about gateway cities, including housing market trends and pressures since the 1970s, and the role of global investment, especially from Asia, on price gains. The author also provides a much-needed discussion of the negative consequences of housing booms, including rising housing inequalities for key demographics such as youth, migrants, and peoples of colour, as well as their growing marginalization from asset-based wealth accumulation based on housing. This focus on the consequences of housing booms and policy responses does limit a broader, more complete look at everyday life in gateway locations amid these trends. Nonetheless, one of the most impactful arguments Ley makes throughout the book is how governments’ endorsement of asset-based welfare policies has shaped the timidity of their interventions to cool local housing markets and has resulted in many policy failures (with the exception of Singapore), leading to housing unaffordability and residential alienation.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,139
Score d'incertitude au seuil0,467

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0020,006
Études des sciences et des technologies0,0010,001
Communication savante0,0040,005
Science ouverte0,0010,003
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,1390,056

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,011
Tête enseignante GPT0,217
Écart entre enseignants0,207 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission3
Résumé présentoui

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