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Record W4408037400 · doi:10.52391/jcn.v8i2.914

Dampak Reformasi Kebijakan Perdagangan Luar Negeri Terhadap Kinerja Perdagangan Luar Negeri

2024· article· en· W4408037400 on OpenAlex
Dioni Yurinda Rahmasuciana, Muhammad Navis Rofii

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

VenueCendekia Niaga · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Fiscal Policies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

This study aims to identify Indonesia’s foreign trade policy reforms and analyze their impact on its foreign trade performance. This study focuses on the reforms of policy in foreign trade that includes the policies and regulations of both the export and the import sector after the Constitutions of Job Creation (UU Cipta Kerja) enforced. Descriptive and statistical analysis used in this study. Descriptive analysis is intended to identify any fundamental changes related to the regulations of foreign trade. Then, statistical analyses that consist of Paired T-Test and Correlations Test, are aim to capture the differences in the average of exports, imports, and trade balance value before and after the enactment of Minister of Trade Regulation Number 19 of 2021 concerning Export Policies and Regulations and the Minister of Trade Regulation Number 20 of 2021 concerning Import Policies and Regulation, and to find out the relationship between import and export activities. Based on descriptive analysis, the results show that fundamental changes occurred were the form of system changes, the simplification of licensing application requirements, and positive fictitious principles. Besides, based on the Paired T-Test, there is a difference between the average of export, import, and trade balance value before and after the Minister of Trade Regulations enforced. This indicates that the regulations have an impact on the value of exports, imports, and trade balance, which their value had increased after the implementation of the regulations. Furthermore, through correlation analysis, it is proven that the value of imports is positively correlated with the value of exports. So that, the value of imports is closely related to the increase of exports value. In other words, an increase in the value of imports followed by a higher increase in the value of exports, can increase the value of the trade balance.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.829
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.004

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 head0.027
GPT teacher head0.217
Teacher spread0.190 · 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