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Small Scale Farming and Agricultural Products Marketing for Sustainable Poverty Alleviation in Nigeria

2011· article· en· W1904243968 on OpenAlexvenueno aff
J. A. Bamiduro, Rotimi Ayodele Gbadeyan

Bibliographic record

VenueCanadian social science · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBusiness Strategies and Innovation
Canadian institutionsnot available
Fundersnot available
KeywordsPovertyAgricultureSubsistence agricultureScale (ratio)BusinessGovernment (linguistics)Economic growthPopulationRural areaMarketingEconomicsGeographyPolitical scienceSociology

Abstract

fetched live from OpenAlex

Agricultural productions in developing countries have largely been on subsistence basis. The farmers only produce for their families and quantity of food produced are grossly inadequate for the growing population. There is increase widespread in the level of poverty amongst the people, most especially those living in the rural areas. Small scale farming has become one of the ways to tackle the problem of lack and poverty amongst these people. The paper therefore, examines how Small Scale farming assists in alleviating poverty in both rural and urban cities; most especially through marketing of agricultural products to the people. Relevant data were sought from the 356 respondents selected for the study through the Key Informant Interviews (KII). The Student T test and Chi square statistical techniques were further employed to test the Hypotheses stated in the study. Result of the finding reveals the importance of Small Scale Farming and Agricultural Products Marketing in poverty alleviation, most especially among the rural dwellers. It also indicated lack of access to fund as the major problem facing Small Scale Farming and increase cost of transportation as the major problem facing marketing of agricultural products. The Paper recommends that Individuals and Government can combat some of these challenges facing Small Scale Farming by providing adequate basic social infrastructures; make available more funds to the farmers and create more employment opportunities amongst others. The paper concludes that Agriculture no doubt, is an important sector that needs to be given attention in any developing economy. Key words: Small scale farming; Marketing; Rural dwellers; Key interview guide; Agricultural products and poverty Resume: Les productions agricoles dans les pays en voie de developpement etaient principalement sur la base de subsistance. Les agriculteurs ne produisent que pour leurs familles et la quantite des aliments produits est nettement insuffisante pour la population croissante. Il y a une augmentation generalisee de la pauvrete parmi la population, plus particulierement ceux vivant dans les zones rurales. L'agriculture a petite echelle est devenue l'une des facons pour s'attaquer au probleme du manque et de la pauvrete parmi cette population. L'article examine donc comment l'agriculture a petite echelle aide a soulager le probleme de la pauvrete dans les villes rurales et urbaines; plus particulierement a travers la commercialisation des produits agricoles. Des donnees pertinentes ont ete recueillies aupres des 356 repondants selectionnes pour l'etude en utilisant la methode des interviews d'informateurs cles (IIC). Le test T et les techniques statistiques de Chi carre ont ete employes plus tard pour tester les hypotheses enoncees dans l'etude. Le resultat de la recherche revele l'importance de l'agriculture a petite echelle et la commercialisation des produits agricoles dans la reduction de la pauvrete, surtout parmi les habitants des zones rurales. Il a egalement indique le manque d'acces aux fonds comme le probleme majeur auquel l'agriculture a petite echelle fait face et les couts de transport croissant comme le probleme majeur de commercialisation des produits agricoles. Le document recommande que les individus et le gouvernement peuvent combattre certains de ces defis confrontes par l'agriculture a petite echelle, en assurant des adequates infrastructures sociales de base; mettant plus de fonds a la disposition des agriculteurs et creant davantage d'emplois entre autres. L'article conclut que l'agriculture est sans aucun doute un secteur important qui doit etre accorde plus d'attention dans n'importe quelle economie en developpement. Mots-cles: Petite agriculture a petite echelle; Commercialisation; Habitants ruraux; Guide d'interview cles; Produits agricoles et pauvrete

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.024
GPT teacher head0.198
Teacher spread0.175 · 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 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".

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Citations5
Published2011
Admission routes1
Has abstractyes

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