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Record W3012969618 · doi:10.5539/ijef.v12n4p83

Land Consolidation for Agricultural Growth in Vietnam

2020· article· en· W3012969618 on OpenAlexaffvenue
Pham Nguyen My Linh, Vo Thi Van Khanh, Nguyen Quang Sang, Le Hoang Anh, Hoang Hai Ninh

Bibliographic record

VenueInternational Journal of Economics and Finance · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLand Rights and Reforms
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsLand consolidationConsolidation (business)AgricultureRestructuringAgricultural landBusinessNatural resource economicsAgricultural productivityLand managementAgricultural economicsEconomicsGeographyFinance

Abstract

fetched live from OpenAlex

In order to effectively restructure agriculture, comprehensive solutions are needed, in which the solution of agricultural land consolidation and concentration must be accompanied by strong reform of the conditions of agricultural production such as organizing good inputs and outputs markets, brand building and protection, strengthening agricultural product quality management, improving the competitiveness of the agricultural sector, respecting market rules, so that the markets can regulate the production scale and technology applied with the orientation and support of the Government, etc. In this way, Vietnam's agriculture can enter a new stage of development. This paper analyzes the current situation of agricultural land consolidation in Vietnam. The authors have clarified the results as well as limitations in agricultural land consolidation for Vietnam. The cause of the limitations in agricultural land consolidation for Vietnam in recent years and recommendations to promote land consolidation for agricultural development in Vietnam in the near future.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.688
Threshold uncertainty score0.034

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)0.0000.000

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 head0.016
GPT teacher head0.203
Teacher spread0.187 · 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 designOther design
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
Published2020
Admission routes2
Has abstractyes

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