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Record W3122097630 · doi:10.22004/ag.econ.24042

COMPETITIVENESS OF CANADIAN AGRI-FOOD EXPORTS AGAINST COMPETITORS IN ASIA: 1980-97

2001· preprint· en· W3122097630 on OpenAlexaffabout
Kevin Z. Chen, Yufeng Duan

Bibliographic record

VenueRePEc: Research Papers in Economics · 2001
Typepreprint
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Trade and Competitiveness
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCompetitor analysisCompetition (biology)ChinaInternational tradeBusinessMarket shareEast AsiaAgricultural economicsConsumption (sociology)Revealed comparative advantageComparative advantageInternational economicsEconomicsGeography

Abstract

fetched live from OpenAlex

Asia is the second largest market for the Canadian agri-food exports after the United States market. The competition in Asia has become more intensive in recent years as the agri-food sector in developed nations such as Australia, Canada, Europe, and the United States has increasingly relied on exports for growth because of their own slow-growing domestic food consumption. How did the performance of Canadian agri-food exports to Asia measure up to the performances of its main competitors? This research attempts to identify Canada's competitiveness in agri-food exports to Asia, relative to Canada's main competitors. The analysis is based on the 1980-97 trade data from the World Trade Analyzer (WTA), produced by the International Trade Division of Statistics Canada. According to their average market shares during the 1980-97 period, Canada's main competitors in Asia are the United States, Europe, Australia, China, Thailand, Malaysia, Taiwan, Indonesia and New Zealand. To assess each country's competitiveness, this research applies the Constant Market Share (CMS) model. The change in each country's exports is primarily divided into the structural and the competitive effects. The exporting country with larger competitive effect is considered to be more competitive. The key results are: * All exporting countries increased their agri-food exports to Asia during the 1980-97 period. The increase in their exports to Asia can be primarily attributed to the structural effect - particularly to the large increase of total Asian agri-food imports (growth effect). * Canada ranked second after China in terms of competitive effect during the 1980-1997 period. Indonesia and Thailand also exhibit strong competitiveness in Asia. Canada's traditional competitors such as the United States, Europe, Australia, and New Zealand were found to be non-competitive. * Compared with other competitors in the Asian market, Canada exhibit two areas of weakness. First, Canada did not concentrate their agri-food exports to Asia on fast-growing commodities such as consumer-ready products. Second, Canada's competitiveness was deteriorated in the processed intermediate goods in Korea and South Asia, the consumer-ready goods in Japan and Asia 7, and the bulk commodities in Taiwan. If Asia was considered to be a target region for Canadian agri-food exports, one would need not only to know the exporting strategies that will be adopted by countries such as the United States, Europe, Australia, and New Zealand, but also those adopted by countries such as China, Indonesia and Thailand. In order for Canada to maintain and improve its export performance in Asia in the future, it will be most effective if Canada could increase its market shares of processed intermediate goods in Korea and South Asia, the consumer-ready goods in Japan and Asia 7, and the bulk commodities in Taiwan.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.432
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
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 head0.038
GPT teacher head0.255
Teacher spread0.216 · 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.

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
Published2001
Admission routes2
Has abstractyes

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