MétaCan
Menu
Retour à la cohorte
Enregistrement W7043959365

UK food sustainability and global food supply chains: a sustainability impact study of Ghana's fresh vegetable exports to the UK

2023· dissertation· en· W7043959365 sur OpenAlexfundno aff

Notice bibliographique

RevueNottingham Trent University's Institutional Repository (Nottingham Trent Repository) · 2023
Typedissertation
Langueen
DomaineMaterials Science
ThématiqueX-ray Diffraction in Crystallography
Établissements canadiensnon disponible
Organismes subventionnairesMinistry of Foreign AffairsEuropean CommissionDepartment for Environment, Food and Rural Affairs, UK GovernmentTrent UniversityUnited Nations Development ProgrammeNottingham Trent University
Mots-clésSustainabilityFood supplySupply chainFood processingFocus groupFood security
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The purpose of this research is to explore the opportunities for reducing sustainability implications associated with the UK's global food supply chains by analysing Ghana's fresh vegetables exports. Existing literature assesses sustainability implications focusing on the traditional sustainability dimensions; namely, the environmental, social, and economic dimensions. Further, studies on the assessment of the UK food sustainability are yet to consider sustainability concerns generated by global food sources. To facilitate a holistic evaluation of the UK's global food supply chains and propagate its vision of global leadership in food sustainability, there is a need to consider all other relevant sustainability dimensions and their impacts associated with the activities and operations of global food suppliers. Case study data involving interviews and focus groups, together with survey data, are obtained from producers of Ghanaian fresh vegetables, such as smallholder farmers, outgrowers, local farmers, and exporters. The interviews and focus groups are first analysed using NVivo 11 software, following a thematic approach. Multilinear Regression (MLR) is performed using the Statistical Package for the Social Sciences (SPSS) to analyse the survey, in order to examine the relationship between sustainable food supply chains (sustainable FSC) and sustainability dimensions identified from the thematic analysis of the interviews and focus groups.
\n 
\nThese findings indicate that six sustainability dimensions and their associated impacts are important in analysing Ghana's fresh vegetable exports to the UK. These are environmental, social, and economic dimensions, regulatory frameworks, collaboration, and producers' complexities in developing sustainable food supply chains (sustainable FSC). Interestingly, the survey results suggest that four of these dimensions are statistically significant; these are environmental, social, regulatory frameworks, and collaboration. The survey further revealed that an increase in regulatory frameworks and mechanisms can reduce sustainable FSC; whereas an increase in the practices and activities of the environmental, social, and collaborative dimensions increases sustainable FSC, thus improving overall sustainability. Revelations and findings from both the thematic and survey analysis were utilised to develop, test and validate the Sustainability Impact Assessment (SIA) model (thus, a conceptual framework of the study).
\n 
\nThis study contributes to the body of knowledge in several ways. To theory, an SIA model is suggested, demonstrating the capture of all important sustainability dimensions; namely, environmental, economic, social, regulatory, collaboration, and complexities of food supply chains. It extends the discussion on sustainability impact assessments and sustainability development and encourages research in sustainability assessment. In practice, this SIA model can facilitate easy capture, examination, and evaluation of all relevant sustainability implications and allow new insights into the development and assessment of the stream of sustainability development.
\n 
\nAmong many other implications such as promoting collaboration, policymakers need to encourage FairTrade for producers in developing countries, and regulatory mechanisms should be re-designed to enhance profitability by using simple conformity and economic incentives. Further, food trade partners and FSC professionals should encourage smart strategies and technologies to enhance logistics that minimise food waste and energy consumption, while boosting producers' welfare. Moreover, governments and policymakers should ensure that the sustainability concerns of overseas countries are captured in food policies and strategies to help facilitate global leadership in food sustainability.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies
Catégories consensuellesMéta-épidémiologie (sens strict)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,097
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0040,001
Communication savante0,0010,001
Science ouverte0,0020,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,009
Tête enseignante GPT0,255
Écart entre enseignants0,246 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeObservationnel
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

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueNottingham Trent University's Institutional Repository (Nottingham Trent Repository)Même sujetX-ray Diffraction in CrystallographyTravaux en français237 207