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Record W3651101

To examine the factors that affect the growth of small agribusinesses in Ghana : a case study of poultry industry

2012· dissertation· en· W3651101 on OpenAlexaboutno aff
Francis Akosah-Darteh

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicLivestock and Poultry Management
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessPoultry farmingSubsidyAgricultureAgribusinessGovernment (linguistics)Agricultural economicsCompetition (biology)BiosecurityProduction (economics)Scale (ratio)Economic growthEconomicsMarket economyGeography
DOInot available

Abstract

fetched live from OpenAlex

Abstract The once flourishing small-scale poultry industry in Ghana has over the past two decades undergone a severe deterioration as a result of fortunes that has diverted the industry from near self-sufficiency in the early 1990s to a net importer of poultry products. Since the later part of 1990s the Ghana market has followed a steep and uncontrolled influx of cheap poultry meat from subsidized poultry producers from advanced countries (Osei, unpublished) including USA and EU, not to mention countries such as Brazil and Canada. A multiplicity of factors have accounted for the decline and mortalities of the domestic poultry industry. These include unfair competition from subsidized poultry producers from advanced countries, unfavourable and indifferent government policy direction, escalating costs of production, inefficient methods of production, lack of funds and credit, inadequate knowledge in poultry management, socio-cultural factors, lack of information needs on the part of small-scale poultry farmers, inadequate access to market, lack of processing facilities, and high rates of perishability. Therefore, the present study examines the factors that affect the growth of the small agribusiness in Ghana, focusing mainly on the small-scale poultry industry. The purpose of the study is to provide guidelines and recommendations for improving poultry farming at the level of small-scale poultry farmers in Ghana through the organized social movement (new generation cooperative movement). The study further seeks to solicit government interventions through political arguments so as to sustain and strengthen the failing small-scale poultry industry in Ghana. The purpose of the organized social movement is to bundle competencies and resources that are more valuable in joint effort than when kept separate by the small-scale poultry farmers in racing against competitors who are driving them out of business. This is due to an on-going severe competition as a result of unprotected market and political bias of trade liberalization, structural adjustment policies and deregulations on the part of the government. A sample of 120 poultry farmers was selected by a stratified random sampling approach. This was followed by 75 stakeholders through a snowball approach and data was collected by using a semi-structured interviews. The findings of the study shows that the organized social movement (SM) of small-scale poultry farmers, provision of government subsidies, placing a ban or increase tariffs on imports of poultry meat, access to cheap loans, provision of infrastructure, access to incentives and awards, training and education of poultry farmers, advertising campaign, and dissemination of information, had positive and significant impact on the competitiveness and growth of the small-scale poultry 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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.065
GPT teacher head0.265
Teacher spread0.200 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2012
Admission routes1
Has abstractyes

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