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Record W2030880249 · doi:10.1108/15253831211261469

Investing abroad and investing at home: complements or substitutes?

2012· article· en· W2030880249 on OpenAlexaboutno aff
Steven Globerman

Bibliographic record

VenueMultinational Business Review · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsMultinational corporationForeign direct investmentInvestment (military)EconomicsBusinessSample (material)Government (linguistics)RevenueInternational economicsValue (mathematics)Monetary economicsInternational tradeMarket economyMacroeconomicsFinancePolitics

Abstract

fetched live from OpenAlex

Purpose The purpose of the study is to assess whether outward foreign direct investment (OFDI) and home country capital investment are substitutes or complements. Design/methodology/approach Case studies of 22 Canadian multinational companies (MNCs) were carried out, and the qualitative and quantitative information from the case studies was used to evaluate whether OFDI and home country capital investment were substitutes or complements for the sample MNCs over the period 2000‐2010. Findings Two primary strategic motives were identified for the OFDI undertaken by the sample MNCs: market‐seeking; and resource‐seeking. Across the sample, domestic investment was typically a poor strategic alternative to OFDI. Furthermore, OFDI promoted faster revenue growth for the MNCs which stimulated increased domestic investment in later time periods. Hence, OFDI and domestic capital investment are complements in the longer run. Practical implications Home country government policies that directly or indirectly discourage OFDI will also discourage domestic investment by home country MNCs. This, in turn, might discourage investment by small and medium‐sized enterprises in the home country, if government limitations on OFDI hamper the growth of MNC head offices in the home country. Originality/value The study provides evidence drawing on case studies rather than traditional econometric models. The case study methodology provides evidence on the underlying strategic imperatives for OFDI that is not identified by econometric studies.

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)0.001
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 score0.368
Threshold uncertainty score0.823

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.075
GPT teacher head0.296
Teacher spread0.221 · 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 designObservational
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

Citations15
Published2012
Admission routes1
Has abstractyes

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