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Record W4287958210 · doi:10.1108/cr-03-2022-0037

OFDI activity and urban-regional development cycles: a co-evolutionary perspective

2022· article· en· W4287958210 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCompetitiveness Review An International Business Journal incorporating Journal of Global Competitiveness · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicRegional Economics and Spatial Analysis
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsIncentiveForeign direct investmentConceptualizationEconomicsOriginalityValue (mathematics)Perspective (graphical)Virtuous circle and vicious circleEconomic geographyEconomic systemDevelopment economicsMarket economyMacroeconomicsPolitical science

Abstract

fetched live from OpenAlex

Purpose While conventional views of foreign investment activity primarily relate to efficiency-seeking investments, the authors argue that most other outward foreign direct investments (OFDIs) likely have positive effects on income development in the home region. Data on the US urban system not only illustrates this but also shows that this impact is not equal in all city-regions. The purpose of this paper is to develop an explanation as to why high- and low-income cities are associated with self-reinforcing cycles of OFDI activity that have different home-region impacts. Design/methodology/approach Conventional views assume that inward foreign direct investments (IFDIs) have a positive impact on target regions, while OFDIs are often treated as the flip side of this story, being seen as having negative effects by shifting jobs and income abroad. This paper counters this logic by developing a conceptual argument that systematically distinguishes different types of OFDIs and relates them to economic development effects in the home (investing) region. Findings Using a co-evolutionary conceptualization, this paper suggests that many high-income cities are characterized by a virtuous cycle of development where high, successful OFDI activity generates both positive income effects as well as incentives to engage in further OFDIs in the future, thus leading to additional income increases. In contrast, it is suggested that low-income cities are characterized by what we refer to as vicious cycles of development with low OFDI activity, few development impulses and a lack of incentives and capabilities for future investments. Originality/value This paper develops a counter-perspective to conventional views of OFDI activity, arguing that these investments have a positive impact on regional income levels. The authors develop a spatially sensitive explanation which acknowledges that OFDIs do not trigger a linear process but are associated with diverging inter-urban development paths and may contribute to higher levels of intra-urban inequality. From these findings, the authors derive conclusions for future research and public policy.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.551
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.043
GPT teacher head0.289
Teacher spread0.246 · 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