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Record W2613256403 · doi:10.1177/1035304617709659

Automotive surrender: The demise of industrial policy in the Australian vehicle industry

2017· article· en· W2613256403 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Economic and Labour Relations Review · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal trade, sustainability, and social impact
Canadian institutionsMcMaster University
FundersAustralian Government
KeywordsAutomotive industryIndustrial policyDeregulationLiberalizationEconomicsInternational tradeBusinessMarket economyEconomyInternational economicsEconomic policyEngineering

Abstract

fetched live from OpenAlex

Abstract Australia developed a strong and successful automotive manufacturing industry after the Second World War, based on active industrial policy. But in 2017, mass vehicle assembly in the country will cease altogether, as the last global automakers operating in the country close their final plants, with negative spillover effects along the automotive manufacturing supply chain. After 2017, Australia will be the only major industrial country with no vehicle assembly whatsoever. This article analyses the shifts in industrial policy that explain both the initial postwar expansion, and the subsequent decline and closures. Policy-makers incorrectly assumed that the critical goal of stimulating automotive exports could be achieved through trade liberalisation, but dismantling tariffs only stimulated vehicle imports without increasing overseas demand for Australian cars. Production declined in tandem with tariffs, and there was no clear industry policy strategy for facilitating the redirection of released resources to more productive manufacturing activity, when that outcome, predicted in neoliberal comparative advantage theory, failed to materialise. Financial market deregulation, resulting in financialisation of the economy, coupled with high commodity prices, resulted in an overvalued and volatile currency, attracting foreign investors to resources and asset speculation while appearing to increase manufacturing production costs. A clear contrast is drawn between Australia’s policy passivity in recent decades, and the continued policy activism visible in other jurisdictions of all political orientations – including countries which, particularly after the global financial crisis, faced economic and industrial challenges at least as daunting as Australia’s. In the 1970s, Australia had been among the world’s top 10 auto manufacturers; after 2017, it will be one of only two G20 countries completely lacking mass automotive manufacturing capacity. The industry’s disappearance from Australia is shown to have resulted from some unique policy choices: understanding them may help avert future similar policy errors.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.441
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.061
GPT teacher head0.319
Teacher spread0.258 · 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