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Record W3115791158 · doi:10.30908/bilp.v14i2.414

POSISI GVC INDONESIA DI WILAYAH ASEAN-KANADA

2020· article· id· W3115791158 on OpenAlexaboutno aff
Siti Mir'atul Khasanah, Dian Dwi Laksani, Nur Ulfa Mutiara Suwari

Bibliographic record

VenueBuletin Ilmiah Litbang Perdagangan · 2020
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicGlobal Trade and Competitiveness
Canadian institutionsnot available
Fundersnot available
KeywordsGlobal value chainBusinessInternational tradeComparative advantage

Abstract

fetched live from OpenAlex

Abstrak Rantai Nilai Global atau Global Value Chain (GVC) adalah alat yang berguna untuk melacak pola pergeseran dari produksi global. Kontribusi Indonesia dalam GVC di wilayah ASEAN-Kanada masih rendah, hal ini dapat dilihat dari nilai intermediate input yang lebih rendah dibandingkan dengan nilai final input. Penelitian ini bertujuan untuk menganalisis posisi GVC Indonesia di wilayah ASEAN-Kanada. Penelitian ini menggunakan analisis input-output dengan berdasar pada data World Input Output Databases (WIOD). Hasil studi ini menunjukkan bahwa dalam lingkup ASEAN, kontribusi Indonesia dalam GVC masih rendah, dapat dilihat dari nilai intermediate input yang lebih rendah dari nilai final input. Bila dibandingkan dengan negara-negara lain ASEAN (yang memiliki ekspor terbesar ke Kanada) yaitu Vietnam, Thailand, dan Malaysia, persentase ekspor barang intermediate Indonesia hanya sebesar 48,3%, lebih rendah dibandingkan negara-negara lainnya. Indonesia harus terus mengambil peran aktif di GVC. Di masa depan, Indonesia harus lebih aktif untuk dapat meningkatkan nilai tambah pada ekspor sebagai intermediate input, sehingga akan berdampak pada positif perekonomian Indonesia secara berkelanjutan. Kata Kunci: ASEAN-Kanada FTA, GVC, Nilai Tambah Abstract Global Value Chain (GVC) is a useful tool to track shifting patterns of global production. Indonesia's contribution in GVC is still low, this can be seen from the lower intermediate input value compared to the final input value. The result of this study aims to analyze the position of Indonesia in the GVC in ASEAN-Canada region. The study used input-output analysis based on World Input Output Databases (WIOD). The study shows that within ASEAN, Indonesia’s contribution in GVC is low, it can be seen from the input intermediate value which is lower than the final input value. When compared with other ASEAN countries (which have the largest exports to Canada), as Vietnam, Thailand, and Malaysia, the percentage of Indonesia’s intermediate exports is only 48.3%, which is lower than those of these countries. Indonesia should continue to take active role on GVC. In the future, Indonesia should be proactive to be able to increase added value on export as intermediate input. To indeed it will positively impact Indonesia's economy in a sustainable manner. Keywords: ASEAN-Canada FTA, GVC, Added Value JEL Classification: A11, B17, B22, B41

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)0.000
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 categoriesInsufficient 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 score0.535
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.009

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 head0.019
GPT teacher head0.207
Teacher spread0.187 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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