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Record W2791133839 · doi:10.5376/ijh.2018.08.0002

Resource Productivity of Smallholder Vegetable (<i> Corchorus olitorius</i>) (L.) Farms in Nigeria

2018· article· en· W2791133839 on OpenAlexvenueno aff
O. I. Baruwa

Bibliographic record

VenueInternational Journal of Horticulture · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Productivity
Canadian institutionsnot available
Fundersnot available
KeywordsCorchorus olitoriusProductivityAgricultural scienceAgroforestryBiologyHorticultureEconomicsEconomic growth

Abstract

fetched live from OpenAlex

Vegetable farming is an attractive business to small scale farmers in Nigeria. The paper focuses on specific potentials of Corchorus olitorius by estimating the level of resource productivity and costs and return to the vegetable production using farm level survey data. Multistage sampling technique was used to obtain information from 200 farms in Oyo State, Nigeria using simple random selection. The data were analyzed using budgetary technique and stochastic frontier. Results showed that ₦1 expended on the vegetable farming, ₦0.09 is realized as profit. Benefit cost ratio was also estimated to be N1.09. However, all the factor resources employed by the farmers were found to be grossly underutilized while the computed returns to scale (RTS) was 0.4826 suggesting diminishing returns to scale. The findings show that there is a significant economy of scale to be exploited and that factor resources could be well utilized by reducing technical inefficiency. The results have important implications for Nigeria’s agricultural input supply policy, and more specifically for profitable vegetable farming.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.587
Threshold uncertainty score0.715

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.017
GPT teacher head0.225
Teacher spread0.208 · 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
Published2018
Admission routes1
Has abstractyes

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