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Market position of rapeseed products from the prime producing countries in the global market

2024· article· en· W4401521309 on OpenAlexaboutno aff
A Y Vieri, Dodik Ridho Nurrochmat, B W Assen, E Rosella, Meti Ekayani, ‪Handian Purwawangsa, Arif Satria

Bibliographic record

VenueIOP Conference Series Earth and Environmental Science · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Trade and Competitiveness
Canadian institutionsnot available
Fundersnot available
KeywordsRapeseedBusinessAgricultural economicsInternational tradeAgricultural scienceEconomicsFood scienceEnvironmental science

Abstract

fetched live from OpenAlex

Abstract Rapeseed is one of the most widely traded products in the world, with a total trade amounting to USD 14.1 billion. Rapeseed trade represents 0.067% of global trade. The largest Rapeseed exporters in 2021 were Canada (USD 5.17 billion), Australia (USD 2.20 billion), Ukraine (USD 1.37 billion), France (USD 1.01 billion), the Netherlands (USD 841 million), and Romania (USD 618 million). Rapeseed is commonly used in food products, health, cosmetics, and other industries. As international market demands and local needs drive rapeseed production, this research aims to identify opportunities for developing the Rapeseed industry and its derivatives based on local needs and global market trends in the world’s largest rapeseed-producing country. This study evaluated the market positioning of Rapeseed products in the international market and employed a “relative market share-market growth” matrix developed by Boston Consulting Group (BCG) for analysis. This study used secondary data from export data for rapeseed-exporting countries worldwide from 2020 to 2021 and was also enriched with some primary data collected from the site visits in 2023. The BCG matrix indicates the five largest rapeseed exporters globally, and additional countries visited in the study include Canada, Germany, the Netherlands, and Romania. The analysis using the BCG matrix assesses the performance of rapeseed products in various major exporting countries worldwide. This study indicates that Canada has significant potential for developing the Rapeseed industry and its derivatives based on global market trends

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.270
Threshold uncertainty score0.536

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
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 head0.009
GPT teacher head0.187
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

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

Citations0
Published2024
Admission routes1
Has abstractyes

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