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Enregistrement W7000455342

Exploring the Tourism Development Trajectory in a Post-colonial Region Through the Lens of Evolutionary Economic Geography: The Case of Central Region of Ghana

2022· dissertation· en· W7000455342 sur OpenAlexaboutno aff

Notice bibliographique

RevueUWSpace (University of Waterloo) · 2022
Typedissertation
Langueen
DomaineSocial Sciences
ThématiqueDiverse Aspects of Tourism Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésTourismDestinationsTrajectoryTourism geographyEcotourismResource (disambiguation)Heritage tourism
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Over the past decade, geographers have used an evolutionary approach to understand how path-dependent resource communities in the global north diversify by adding new tourism trajectories (e.g. Brouder, 2017; Mitchell and Shannon, 2018a, b). At the same time, geographers have documented the growing involvement of in-migrants (including counterurbanites and returnees) in the tourism industry of transitioning regions. This study combines these two foci to analyze the involvement of in-migrants (and others) in tourism trajectory development in one region of the global south: Central Region of Ghana, West Africa. \nThe research is guided by five objectives, which are: 1) to describe the changing functionality of the three major tourist destinations in the Central Region of Ghana; 2) to identify who is involved in tourism trajectory development and to assess the nature of their involvement; 3) to uncover the types of mechanisms (recombination, layering, or conversion), heritage (colonial and non-colonial), and heritage products (artefactual, crafted, replica and/or symbolic) used by in-migrants and other stakeholders in tourism trajectory development; 4) to determine the direct and indirect impacts of this development in select tourist communities; and, 5) to identify perceived deficiencies in the tourism trajectory of these areas, and potential remedies for addressing these deficiencies. \n To meet these objectives, key informant interviews were conducted with tourism and community stakeholders. Questionnaires were distributed to tourism proprietors, and interviews were conducted with these entrepreneurs at three major tourist areas in the region: those focused on Cape Coast Castle, Elmina Castle, and the Kakum National Park. The study is guided by a critical realist ontology, which recommends three stages in the research process (demi-regularity identification, abduction and retroduction; Fletcher, 2017). \nThe findings reveal that Central Region of Ghana is a path-dependent productivist economy; however, also present are diversified activities that resemble those of post-productivist regions, particularly seen in developed countries (Geyer and Geyer, 2017) including Canada (Mitchell and Shannon, 2018a). While the region continues to rely on the primary sector activities of fishing, farming, mining, and forestry, tourism contributes significantly to its economic diversity. This industry arose from public (government) and civic (not-for profit) initiatives that were introduced as a result of economic decline in the 1980s. The industry initially capitalized on the region’s natural heritage (Kakum forest) and cultural heritage assets (forts and castles), which had been developed by Europeans over a 400-year period to facilitate the Trans-Atlantic slave trade. Later, private sector entrepreneurs (most with external living experience) used their capital assets (social, financial, human, and physical) to enhance the tourism pathway through their activities of recombination, layering, and conversion in the tour, accommodation, food, and retail sectors. In-migrants, particularly counterurbanites, have been found to play a key role in diversifying the tourism trajectory and contributing to neo-endogenous development in the region. The impact of their activities is evident in increased visitation and capacity building. Despite these impacts, some deficiencies (e.g. limited diversification) are identified, which are traced to several local liabilities (i.e. tourism’ low income potential, limited tourism asset knowledge, and unwillingness of locals to engage in state initiatives). The study concludes that these liabilities must be overcome before additional layering and conversion mechanisms can be applied to renew and extend the region’s tourism trajectory. \nThis study contributes to the evolutionary economic geography, tourism and migration literature and provides a new heritage tourism development framework that is applicable in a post-colonial African region and in any context where the conditions for tourism development are present. It also contributes to our understanding of socio-economic development in the Central Region and the role of the tourism development trajectory in the region’s economy.

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)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,119
Score d'incertitude au seuil0,236

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0050,005
Communication savante0,0030,003
Science ouverte0,0010,003
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

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 Opus0,042
Tête enseignante GPT0,253
Écart entre enseignants0,211 · 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'étudeQualitatif
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
Publié2022
Routes d'admission1
Résumé présentoui

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