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Enregistrement W4414144373 · doi:10.1016/j.sftr.2025.101218

Where and how can Africa and India leverage the blue economy opportunities of the Indian Ocean region as a driver for sustainable development and partnerships?

2025· article· en· W4414144373 sur OpenAlex

Pourquoi ce travail est dans la base

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affAu moins un auteur déclare une institution canadienne dans l'instantané OpenAlex épinglé.

Notice bibliographique

RevueSustainable Futures · 2025
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueCoastal and Marine Management
Établissements canadiensFuture Earth
Organismes subventionnairesnon disponible
Mots-clésSustainabilityLeverage (statistics)Sustainable developmentIndian oceanStewardship (theology)Global South

Résumé

récupéré en direct d'OpenAlex

Through the blue economy (BE), Africa and India can attain sustainable development, transnational partnerships, and continental engagement targets, never been seen before. However, efforts on how this could be done have been pedestrian and less explored. This review and perspective paper utilizes a bibliometric analysis technique to analyze 1712 documents, systematically sourced from Scopus. Thus, this paper situates itself as one of the first scholarly pieces to comprehensively highlight strategic aspects that could advance sustainable Africa-India regional development partnership. Mixed comparative results are found in the literature. Since 2012, research on the BE in Africa and India has increased. The BE is emphasized as a critical topical issue in Africa, albeit this is mostly led by non-African scholars and institutions. In India, most BE research perspectives target regional issues, e.g., in the Indo-Pacific region. African researchers have published more in high-impact journals compared to their Indian counterparts. The annual growth rate of research on the BE in India is comparatively higher than that of Africa (8.69 to 5.49 percent, respectively). However, the average citations of research in all regions are declining. African authors have higher national and international co-authorship collaborations. Collaborations between Africa and India on the BE are few. Most country-level collaborations are with developed nations. Nevertheless, there is recognition of the increasing vulnerability of Africa's and India's coastal communities to megatrends and marine environmental threats. Most documents emphasize that the resource endowments in the Indian Ocean (IO) could mitigate maritime challenges to socioeconomic development and environmental stewardship. Five valuable findings are emphasized: (1) the BE is essential to the prospects of sustainable development, (2) inclusive and sustainable actions are needed to address coastal socioecological shifts, (3) several BE solutions are proposed but not put into practice, and (4) BE partnerships in the IO must include China and other emerging states of the Global South, and (5) the IO is paramount towards sustainable BE between Africa and India. Borrowing from the literature insights, and as a contribution to BE-led sustainable development partnerships between Africa and India, five strategic leverage points are identified and developed: socio-cultural, economic, institutional, environmental, and scientific. As the development of BE engagements and partnership is a new development arena in Africa and India, policymakers and researchers should: (a) initiate the Africa-India BE journal, b) leverage and link Africa's and India's existing BE initiatives, visions, and programs, c) reimagine Africa and India’s development connotations, d) start slowly but consistently, and e) recognize existing shared sustainability or sustainable development visions. To achieve this, the IO must be recognized as a shared natural resource that has the potential to compartmentalize and link the proposed leverage points. Thus, policymakers and researchers must work towards rejuvenating shared ties, histories, vulnerabilities, and BE visions. This can help strengthen regional partnerships, trust, and collaborations for a better and sustainable BE.

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.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut 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: Empirique
Score de désaccord entre enseignants0,518
Score d'incertitude au seuil0,514

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,002
Intégrité de la recherche0,0000,000
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 Opus0,014
Tête enseignante GPT0,195
Écart entre enseignants0,181 · 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