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The Current Situation and Future Trends of China's Dairy Industry

2023· article· en· W4388535471 on OpenAlexaff
Ke Hu, Han Sun, Tianyu Zhou

Bibliographic record

VenueAdvances in Economics Management and Political Sciences · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomics of Agriculture and Food Markets
Canadian institutionsDalhousie University
Fundersnot available
KeywordsDairy industryChinaBusinessPer capitaDistribution (mathematics)Valuation (finance)Agricultural economicsPopulationConsumption (sociology)Supply chainPopularityMarketingEconomicsGeographyFood science

Abstract

fetched live from OpenAlex

China's dairy industry has experienced rapid development in recent years, primarily due to the country's growing population and improved living standards. Dairy products have become an essential part of people's daily lives. The leading companies in focus are Mengniu and Yili. This article provides an in-depth analysis of China's dairy industry, focusing on the leading companies Mengniu and Yili. The industry has experienced rapid development due to China's increasing population and improved living standards, with dairy products becoming an indispensable part of daily life. The article examines the size and value chain distribution of the industry, which is dominated by brand manufacturers, and analyzes both the supply and demand sides. The per capita consumption of dairy products is increasing, and high-end liquid milk is gaining popularity. With a valuation analysis using the comparable company valuation method on Mengniu and Yili. The article provides a detailed analysis of the size and value chain distribution within the industry, which is predominantly led by brand manufacturers. Both the supply and demand sides of the dairy products have been examined. Per capita consumption of dairy products is continuously increasing, with a growing popularity of high-end liquid milk. Despite facing challenges, the dairy industry in China has enormous potential for growth. These results shed light on guiding further exploration of Yongsheng Yang, Understanding the development of China's dairy industry.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.393
Threshold uncertainty score0.337

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 studies0.0000.000
Scholarly communication0.0000.000
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 head0.015
GPT teacher head0.254
Teacher spread0.239 · 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 designTheoretical or conceptual
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

Citations1
Published2023
Admission routes1
Has abstractyes

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