Pre-conditions, challenges and opportunities for community-based tourism in Mpondoland in the Eastern Cape Province of South Africa

• Main Author: Jugmohan, Sean
• Other Authors: Steyn, J. N.
• Language: en
• Published: Cape Peninsula University of Technology 2016
• Subjects: Tourism > South Africa > Eastern Cape; Economic development > South Africa > Eastern Cape; Tourism > South Africa > Eastern Cape > Economic aspects; Ecotourism > South Africa > Eastern Cape; Community development > South Africa > Eastern Cape; Rural development > South Africa > Eastern Cape
• Online Access: http://hdl.handle.net/20.500.11838/2112

Thesis (MTech (Tourism and Hospitality Management))--Cape Peninsula University of Technology, 2015. === Research indicates that community-based tourism (CBT) has economic relevance and is often viewed as an alternative source of income for rural communities that are endowed with rich cultural and natural tourism resources, yet the success of CBT projects is negligible. This research was designed to explore the importance of considering pre-conditions for CBT before proceeding with the actual implementation of the project with a sample of CBT project members directly involved in CBT. Ignoring this fundamental step often led to failure of CBT projects. The research sought to establish whether the CBT projects in Mpondoland were either faced with challenges or presented with opportunities and to propose a CBT Pre-condition Management and Evaluation Model (PEM). The participants were selected because of their relevant knowledge and experience in relation to the case. All seventeen members who were operating a CBT business at the time of the study in the village of Noqhekwane and all five members from the village of Ndengane were approached to participate in the study. This study employed a mixed-methods approach for data collection, more specifically, the qualitative approach was used to gather more in-depth information from respondents, based on their CBT project in the context of their specific socio-economic status, their local environment, education levels, management and background of their project, and infrastructures of the area. Interpretive analysis was used to analyse the qualitative data using thematic categories from the analysis as sub-headings. Other data collected from the responses was analysed using the Statistical Package for the Social Sciences (SPSS) version 21.0.