Change management for sub-Saharan Africa's rural tourism development

Ezeuduji, Ikechukwu O.

doi:10.1080/13683500.2014.946892

Cited by 13 publications

(8 citation statements)

References 28 publications

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“…Social assets affect not only community livelihoods but also community livelihood policies and systems [54], which is conducive to the optimization of spatial allocation of other resources [55]. In the development of community tourism, the lack of tourism knowledge and skills [56][57][58][59], the lack of information about tourism development [57], poor infrastructure [60], and the lack of power [22,25] are major factors that limit community residents' participation in tourism. Therefore, livelihood assets also have a strong influence on community residents' livelihood choice.…”

Section: Effect Of Livelihood Assets On Community Livelihoods Choicementioning

confidence: 99%

Study on Livelihood Assets-Based Spatial Differentiation of the Income of Natural Tourism Communities

Zhang

et al. 2018

Sustainability

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Livelihood assets have a significant impact on the livelihood options and income of tourism communities. The level of tourism development and the type of natural tourism communities often exhibit spatial differences. By using the method of sustainable livelihood and examining the main factors that affect community income from the perspective of spatial heterogeneity, it is possible to identify the livelihood assets that play the most critical role in the development of sustainable livelihoods and income generation in the community, which helps provide more reasonable advice on tourism destination management. In this article, we conducted a case study on 16 communities in and around Jiuzhaigou Nature Reserve in Sichuan Province, China, and divided the communities into three types, i.e., core attraction areas, service support areas, and secondary service support areas, according to the geographical and spatial characteristics, tourism development level, and livelihood type. The participatory assessment method was adopted to obtain in-depth interviews and questionnaire data from 256 rural households, which was utilized to construct four multivariate regression models to investigate the effect of livelihood assets on community income and the spatial difference of the factors that affect community income. The results showed that (1) livelihood assets exert a significant impact on community income in tourist areas, with a remarkable spatial difference; (2) the types of livelihoods and the effective utilization of livelihood assets have a significant impact on farmers' incomes; (3) the type and amount of livelihood assets have a certain impact on the choice of livelihood; and (4) a farmer's livelihood type determines the utilization method and the effective utilization of livelihood assets.

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Section: Effect Of Livelihood Assets On Community Livelihoods Choicementioning

confidence: 99%

Study on Livelihood Assets-Based Spatial Differentiation of the Income of Natural Tourism Communities

Zhang

et al. 2018

Sustainability

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“…This tax policy implementation is exempted for homestay, bed and breakfast, the three-star hotel and below. Therefore, the stakeholders' support involving the local people in the context of pro-poor tourism retain the revenue (Ezeuduji, 2017). Stakeholder empowers the participation of the communities in adding values to the local tourism products (e.g., handcraft, pottery, and edible local product) and services for socio-economic development.…”

Section: Results Of the Hypotheses Testingmentioning

confidence: 99%

Pro-Poor Tourism and Poverty Alleviation in Sarawak

Wasudawan

Ab-Rahim

2018

International Journal of Asian Social Science

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This paper aims to investigate the pro-poor tourism impact of the capacity building, stakeholders' support and infrastructure development on poverty alleviation. This study focused on Malay, Iban, Bidayuh, Chinese, Kelabit, Penan, Berawan and others local communities; draws upon a sample of 520 from the Kuching and Miri division of Sarawak, Malaysia. Quantitative primary data method is used, and the data analyzed using partial least squares structural equation modeling (PLS-SEM) software. The findings showed the positive effect for capacity building on poverty alleviation (H1), stakeholders' support on poverty alleviation (H2) and infrastructure development on poverty alleviation (H3). This study makes a significant theoretical contribution to human development theory by investigating how pro-poor tourism impact rise wage, food, education, healthcare, voice and securities in humans' daily life. Furthermore, this study discussed several practical solutions for the local communities to benefit from pro-poor tourism. Especially on the formal and informal way of regular communication among the local government, private tourism organizations and semi-government tourism departments with local communities to increase the livelihood benefits. Contribution/ Originality: This study is one of few studies which have investigated pro-poor tourism along with Human Development theory. The empirical results show the capacity building, stakeholders' support and infrastructure development improves the well-being of local communities. 1. INTRODUCTION The definition of pro-poor tourism is referred as positioning of tourism growth to produce livelihood opportunities between tourism and impoverished people (Mowforth and Munt, 2016). Pro-poor tourism is an approach and it is not a type of tourism or product (Ashley et al., 2000). However, any type and size of tourism business such as volunteer tourism, philanthropic tourism, community-based tourism, cultural tourism, eco-tourism, rural tourism, responsible tourism, urban tourism, sustainable tourism, homestay, bed and breakfast, an urban hotel, tour operator, food and beverage provider, souvenir outlet and infrastructure developer can be categorized under pro-poor tourism (Mitchell and Ashley, 2010). Even though there are several types of tourism under the pro-poor tourism approach, the only objective pro-poor tourism has is to contribute the benefits perceived through tourism to the local community at any tourist destination. Therefore, capacity building, stakeholders' support, and infrastructure development plays an important role in increasing local peoples' well-being.

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“…Later, researchers proposed the most famous Apriori algorithm in association rule mining and its variants AprioriTid and AprioriHybrid algorithms to discover frequent item sets [12]. Since then, many scholars have proposed algorithms for discovering frequent item sets of association rules, but most of the algorithms are variants or improvements of the Apriori algorithm [13,14]. Since the Apriori algorithm is a multipass search algorithm, for a large data collection, the external memory must be read once for each search, and the I/O overhead is very high [15].…”

Section: Related Workmentioning

confidence: 99%

Analysis of Rural Tourism Demand Characteristics and Experience Differences Based on Association Rule Mining

Jiang

2021

Wireless Communications and Mobile Computing

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Whether the characteristics of rural tourism changes or not provides the scale and basis for judging whether the rural tourism landscape has changed, but it cannot provide a judgment on the impact of rural tourism landscape changes. The impact is relative to the rural tourism landscape goal. The determination of rural tourism landscape objectives provides a baseline for judging the direction and impact of rural tourism characteristics and provides a prerequisite for rural tourism landscape actions. The determination of the quality target of the rural tourism landscape is mainly determined by the internal process and external demand of the rural tourism landscape. Through in-depth research on the frequent pattern growth algorithm FP-Growth, the algorithm can find frequent item sets by not generating candidate item sets. The core of the algorithm is the frequent pattern tree FP-tree, which can efficiently compress the transaction database. Based on the advantages of FP-tree, this paper improves a FP_Apriori algorithm based on frequent pattern trees. This algorithm projects the entire transaction database onto the FP-tree, avoiding a lot of I/O overhead. At the same time, I propose a more directional and targeted search strategy for FP-tree, which reduces the running time of the algorithm and uses the principle of the Mapping_Apriori algorithm to prethin the frequent item sets. This article uses the text analysis method of network data to excavate the characteristics and internal structure of rural tourism demand. The rural tourism market has a wide range of needs and multiple levels, and traditional research methods such as questionnaires have limited sample size and sample structure. With the help of network data, text mining, and other statistical analysis methods, in-depth empirical research on the characteristics and spatial structure of rural tourism in a certain region can cover more research groups. The research confirms that the results of using text analysis and questionnaire analysis on the perception of destination image are relatively consistent. Therefore, the network text analysis method is an effective tool to study the demand structure of the rural tourism market.

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Change management for sub-Saharan Africa's rural tourism development

Cited by 13 publications

References 28 publications

Study on Livelihood Assets-Based Spatial Differentiation of the Income of Natural Tourism Communities

Study on Livelihood Assets-Based Spatial Differentiation of the Income of Natural Tourism Communities

Pro-Poor Tourism and Poverty Alleviation in Sarawak

Analysis of Rural Tourism Demand Characteristics and Experience Differences Based on Association Rule Mining

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