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Record W3021619323 · doi:10.20527/ecoplan.v3i1.52

Analisis Pengembangan Ekspor Kayu Manis Indonesia

2020· article· en· W3021619323 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEcoplan · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Trade and Competitiveness
Canadian institutionsnot available
FundersUniversity of Pretoria
KeywordsPer capitaBusinessPopulationAgricultural economicsAgricultural scienceInternational tradeGeographyEconomicsEnvironmental scienceEnvironmental health

Abstract

fetched live from OpenAlex

Abstract - Export is an important component in the economy of the country. The higher the country's export performance, the greater positive effect in increasing of economic growth. From 2012 to 2016, Indonesia's exports continued to decline. Considering these conditions, Indonesia needs to make a strategic effort to increase its export performance, of course. One of the efforts which can be done is conducting export development. As an agricultural country, one of potential commodities used to increase exports is cinnamon. This research will analyze the cinnamon export markets which are potentially to be developed. Moreover, this research will find out the factors that influence the export of these commodities. The methods used are RCA, EPD, X-Model, and Gravity. The result of analysis shows that cinnamon has optimistic markets to be developed in Malaysia, Canada, Netherlands, Brazil, the United States of America, and The Republic of Dominican. Meanwhile, the potential markets to be developed are the United Arab Emirates, Germany and Algeria. The factors affecting exports are gross national product per capita, population, export prices and economic distance. Keywords: EPD, Cinnamon, Gravity Model, Export Development, RCA Abstrak- Ekspor merupakan salah satu komponen penting dalam perekonomian negara. Semakin tinggi kinerja ekspor negara, semakin besar pula dampak positifnya terhadap peningkatan pertumbuhan ekonomi. Sejak tahun 2012 hingga 2016, ekspor indonesia terus mengalami penurunan. Melihat kondisi tersebut, tentunya Indonesia perlu melakukan upaya strategis untuk meningkatkan kembali kinerja ekspornya. Salah satu upaya yang dapat dilakukan adalah dengan melakukan pengembangan ekspor. Sebagai negara agraris, salah satu komoditas yang dapat digunakan untuk meningkatkan ekspor adalah kayu manis. Penelitian ini akan menganalisis pasar ekspor kayu manis yang potensial untuk dikembangkan, serta mengetahui faktor-faktor yang mempengaruhi ekspor komoditas tersebut. Metode yang digunakan adalah metode RCA, EPD, X-Model, dan Gravity. Hasil analisis menunjukkan bahwa pasar optimis untuk dikembangkan adalah Malaysia, Kanada, Belanda, Brazil, Amerika Serikat dan Republik Dominika. Sedangkan pasar yang potensial untuk dikembangkan adalah Uni Emirat Arab, Jerman dan Aljazair. Faktor-faktor yang mempengaruhi ekspor adalah produk nasional bruto per kapita, populasi, harga ekspor dan jarak ekonomi. Kata kunci : EPD, Kayu Manis, Model Gravity, Pengembangan Ekspor, RCA.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.356
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.025
GPT teacher head0.204
Teacher spread0.178 · 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