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Record W1496217683

Pengaruh Foreign Direct Investment (FDI) dan Daya Saing Terhadap Ekspor (Studi Pada Sektor Industri Manufaktur Indonesia Tahun 2004-2013)

2015· article· id· W1496217683 on OpenAlexaboutno aff
Aulia Hadin Salsabila

Bibliographic record

VenueJurnal Administrasi Bisnis S1 Universitas Brawijaya · 2015
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicGlobal Trade and Competitiveness
Canadian institutionsnot available
Fundersnot available
KeywordsForeign direct investmentBusinessQuarter (Canadian coin)Ordinary least squaresGlobalizationInvestment (military)International economicsInternational tradeEconomicsMarket economy
DOInot available

Abstract

fetched live from OpenAlex

Globalization in the economic field has encourage economic participation between countries. Every economy in the world has the goal to master and compete in the global market. Export is one of the economic activities undertaken to market their products outside national borders. By doing so, export requires a driving factor, the driving factors used in this study are FDI (Foreign Direct Investment) and competitiveness.The aim of this study is to determine the influence of FDI and competitiveness against exports on Indonesia’s manufacturing industries. This study using an equations model analysis with Ordinary Least Square (OLS) from the first quarter of 2004 – the fourth quarter of 2013. According to the result of simultaneous test indicating that FDI and competitiveness has significant effect on export .Furthermore, the partial test results indicates that each variable of FDI and competitiveness showed a significant effect on export. Keywords : FDI, Competitiveness, RCA, and Exports.

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 categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.499
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.003
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.033
GPT teacher head0.225
Teacher spread0.192 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations1
Published2015
Admission routes1
Has abstractyes

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