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Enregistrement W4396957445 · doi:10.24940/theijbm/2024/v12/i2/bm2402-015

Youth Entrepreneurship: Essential Tool for Socio-economic Development and Growth

2024· article· en· W4396957445 sur OpenAlexaboutno aff
Ebenezer M. Ashley, Isidore K. Tufuor, Bernard Obeng, Emmanuel K. Agbenuvor, Sarah T. Ackah

Notice bibliographique

RevueThe International Journal of Business & Management · 2024
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueRegional Economic Development and Innovation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEntrepreneurshipPositive Youth DevelopmentSociologyEconomic growthEconomic geographyPolitical scienceGeographyEconomics

Résumé

récupéré en direct d'OpenAlex

A consistent surge in the population of young people in prior years made it imperative for attention to issues related to youth unemployment to transcend national borders to include regional and global levels. Thus, issues related to youth, specifically youth unemployment, gained global recognition several decades ago. However, the decades-long initiatives of the United Nations to address youth unemployment challenges have yielded little or no socio-economic results. The purpose of this research was to examine the implications of youth unemployment rates for national and global unemployment rates during the research period. The quantitative approach to scientific inquiry was adapted and used in the study. Specifically, a cross-sectional design formed the basis of the research. Data required for the conduct of the research were obtained mainly from secondary sources. These included textbooks, peer-reviewed articles published in journals and grey literature from youth advocates. Other sources were Google Search Engine, including Ghana Statistical Service, Ghana’s Ministry of Youth and Sports, UN, UNESCO, UNICEF, UNCTAD, UNFPA, UNDP, OECD and EU, and electronic databases of the World Bank, ILO and Commonwealth, among other significant sources. Respective data on Ghana’s annual youth unemployment rates and national unemployment rates from 2000 through 2019, as well as respective 2019 national youth unemployment rates and national unemployment rates for one hundred and eighty-seven (187) economies, were used in the research. Descriptive statistics and regression models were used to describe the research variables and to evaluate their behaviour over the stated time frame on national and global unemployment rates. The study revealed that widespread joblessness is taking an adverse toll on this generation’s ability to contribute its meaningful quota towards a prosperous, happy and healthy future. The level of progress made in business development by most advanced, emerging and developing economies was not found to have a strong relationship with youth-centred policies and programmes. As of 2016, the United States and Canada had no national youth policy. Findings from the research revealed a positive and significant relationship between the youth unemployment rate and national unemployment rate (coefficient value = 0.489206843; p = 0.000, p < 0.05) and a positive but non-significant relationship between global youth unemployment rate and global unemployment rate (coefficient value = 0.447986211; p = 4.60249, p > 0.05). Youth unemployment rate accounted for about 52.97% of the variation in national unemployment rate; while global youth unemployment rate accounted for about 86.05% of the variation in global unemployment rate during the period. The statistical analysis confirmed and validated, to a large extent, the severity of the youth unemployment phenomenon at the national level, a clarion call for active participation of the youth in policy formulation and implementation process, and the need for expeditious implementation of youth intervention programmes such as youth entrepreneurship to assure effective participation of the youth in the national development agenda. There is an urgent need for global economies to thoroughly examine their existing financing models and emerge with financial products tailored to address the specific financial needs of participating young people to ensure the success of intended youth development programmes. Encouraging performance-based lending to the neglect of collateral-based lending would draw each economy closer to the realisation of this objective. Embedding youth entrepreneurial initiatives in well-rehearsed and thought-out national youth policy and walking the talk through practical implementation would facilitate the transformation of current and projected increase in regional and world youth populations from socio-economic liabilities to competitive, productive and invaluable assets at the national, sub-regional, regional and global levels.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,005
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,014
Score d'incertitude au seuil0,046

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,005
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0030,002
Communication savante0,0070,005
Science ouverte0,0010,005
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0140,004

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,019
Tête enseignante GPT0,225
Écart entre enseignants0,206 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2024
Routes d'admission1
Résumé présentoui

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Même revueThe International Journal of Business & ManagementMême sujetRegional Economic Development and InnovationTravaux en français237 207