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131.
Onil Banerjee Martin Cicowiez Thomas Ochuodho Michel Masozera Bernabas Wolde Pankaj Lal 《Journal of Sustainable Tourism》2018,26(8):1381-1397
Rwanda's Nyungwe National Park is a biodiversity hotspot with the most endemic species in the ecoregion and the highest number of threatened species internationally. Nyungwe supplies critical ecosystem services to the Rwandan population including water provisioning and tourism services. Tourism in the Park has strong potential for financing enhanced visitor experiences and the sustainable management of the Park. This paper explores quantitatively the economic impacts of adjustment in Park visitation fees and tourism demand as a source of revenues to improve Park tourism opportunities and ongoing operations and maintenance. The methods developed in this paper are novel in integrating the results of stated preference techniques with a regional computable general equilibrium modelling approach to capture multisectoral, direct, indirect and induced impacts. Such methods have strong potential for assessing revenue generation alternatives in other contexts where park managers are faced with the need to generate additional revenue for sustainable park management while facing diminishing budget allocations. Results of this analysis demonstrate that adjustment of Park fees has a relatively small impact on the regional economy and well-being when compared with a strategy aimed at generating increased tourism demand through investment in improving the visitor experience at Nyungwe National Park. 相似文献
132.
Decision support models for satisfactory restaurants have attracted numerous researchers' attention. Many extant models do not consider the active, neutral and passive information in online reviews all at once. Moreover, they ignore the effect of interdependence among criteria on tourists' decision-making. To cover these defects, this study proposes a restaurant decision support model using social information for tourists on TripAdvisor.com. The model introduces fuzzy sets to denote online reviews and utilizes Bonferroni mean to consider interdependence among criteria. Furthermore, it uses a novel similarity measurement which can handle sparse data in fuzzy environments. To validate the model, we conduct a case study of TripAdvisor.com which compares the proposed model with four other models. The performance of each model is evaluated by the metric called the mean absolute error. The study shows that the proposed model can effectively support tourists' decision-making and it performs better than the other four models. 相似文献
133.
Dujuan Yang Harry Timmermans 《International Journal of Sustainable Transportation》2017,11(2):133-147
This article explores consumer investment choice in long-term energy conservation technology and assesses trade-offs in energy saving behaviour between the housing and transportation domains. The long-term energy conservation choice problem is conceptualized as a portfolio choice problem. Consequently, to measure trade-offs between investments in housing and transport options, a cross effects choice design is developed in which respondents were shown one or more alternate ways to reduce their current energy consumption: (1) investing in new technology in the house, such as solar panels; (2) exchanging the current car for a more energy efficient car; (3) buying a new energy-efficient car, such as EV or solar car; (4) moving house to reduce current travel distances. To help respondents linking these options to their current energy consumption, a new Web-based survey system (SINA) to implement and administer stated adaptation experiments was developed. The system was used to collect two sets of data. First, data about out-of-home and in-home energy consumption, together with detailed time use data, was collected. Second, using a cross effects design, respondents were asked to select a portfolio of energy-saving strategies in response to different energy pricing policy scenarios. Results reported in this paper are based on 572 respondents who completed the survey and responded to seven adaptation questions based on their current energy expenditures. A random parameters logit model is estimated to predict the probability of choosing a particular portfolio of energy-saving options. Estimation results indicate that individuals from different socio-demographic groups exhibit varied preferences. The saving option characteristics, especially cost related characteristics have significant effects on individuals' preferences. Moreover, the results also showed significant effects of choice set composition on energy saving options. Further, the energy pricing policies had showed mixed effects on individual's preferences. 相似文献
134.
This study's core purpose is to understand the behavioural intention (BI) of wine tourists using the Extended Model of Goal-directed Behaviour (EMGB). Specifically, the Model of Goal-directed Behaviour (MGB), an advanced version of the Theory of Planned Behaviour (TPB), is extended to EMGB by incorporating experience and involvement towards wine tourism to better understand wine tourists' intention to participate in a tour. The sample was 211 Korean wine tourists. Results revealed that two constructs related to wine tourism, namely, experience of a wine tour and wine tourism involvement, formed positive and significant relationships with attitude towards participating in such a tour. Attitude, subjective norm, and positive anticipated emotion influenced tourists' desire to participate in a wine tour, which, in turn, influenced their BI. Contrary to expectations, the frequency of past behaviour does not have a significant effect on desire and BI, and perceived behavioural control has no significant effects on BI. 相似文献
135.
Tim Coles Neil Warren D. Scott Borden Claire Dinan 《Journal of Sustainable Tourism》2017,25(4):471-488
This paper examines how environmental resources and costs feature in business models of small- and medium-sized tourism enterprises (SMTEs). Several studies have pointed to the generally positive nature of the relationship between the economic and environmental performance of tourism firms. Yet, although business models act as a vector between these aspects of firm performance, they have been overlooked in sustainable tourism discourse. The paper reports findings from discussion groups of SMTE businesses in South West England during the global economic downturn. Environmental costs and cost control were afforded relatively little importance in terms of value creation; conversely, there was a strong and predictable emphasis on revenue generation. Indirect tactics emerged for dealing with guests’ environmental behaviours which reflected this prevailing commercial logic. Green credentials were routinely de-emphasized, sometimes regarded as liabilities, in a form of greenhushing. Responses were framed by reference to social media and how online reviews may negatively impact on future value capture. Conceptually, the business model emerged as an important lens for understanding how environmental resources and costs were valourized. The paper highlights the need to ensure that contemporary approaches to environmental management in SMTEs reflect the current and fast-changing conditions that frame business models. 相似文献
136.
Guillaume Bodet Valery Anaba Patrick Bouchet 《Journal of Travel & Tourism Marketing》2017,34(1):52-69
The main purpose of this study was to identify the influence of the consumer’s country of residence on hotel service attributes’ contribution to consumer satisfaction. The hospitality services of Disneyland Paris in Paris, France, were analyzed in the context of the study. Data came from their seven hotels and comprised 47,885 valid questionnaires. The Tetraclasse model was applied to identify hotel attributes’ contribution to satisfaction and compare them for consumer segments from eight European countries and between hotels. Results showed that the four service attributes’ contributions are influenced by country of residence and vary between hotels. 相似文献
137.
Chin-Wei Huang Hsiao-Yin Chen Chung-Te Ting 《Journal of Travel & Tourism Marketing》2017,34(9):1274-1284
The importance of tourism promotion has been discussed throughout past studies, and the consequences of ineffective promotion have also been investigated. While tourism promotion is a topic of interest to many researchers, performance measurement used to assess the effectiveness of tourism promotion is a topic seldom discussed. The purpose of this study is to develop an approach based on the data envelopment analysis (DEA) model to evaluate performance for tourism promotion. The main difference compared with previous DEA models is the evaluation of multiple efficiencies in a single DEA implementation, and the assessment of overall efficiency in a ratio index. In the assumption of variables, we use cultural tourism promotion as a foundation in formulating the empirical evaluation, and we test the proposed model by using data across 20 regions in Taiwan. 相似文献
138.
Recreation carrying capacity (RCC) is one of the most important indictors used in measuring the usage limits for the forest park resources. However, the consensus has not been reached with respect to the RCC’s content and its measuring metrics. In this paper, we attempt to establish a new RCC theoretical framework based on the demand theory of the tourism product characteristics. In the process, the choice experiment and orthogonal design methods are used in questionnaire designs and the conditional Logit model is used for parameter estimates. More than 700 park visitors are surveyed for data collection at the Shenyang National Forest park of Liaoning province in China. The primary park attributes being considered encompass vegetation, coverage, water quality, number of rubbish on the park trail path, admission fees, and congestion. The carrying capacity threshold for each specific attribute is identified. 相似文献
139.
Jen-Hung Huang 《Tourism Management》2012,33(2):456-465
This study proposes a novel approach, the Fuzzy Rasch model, which combines Item Response Theory (IRT) and fuzzy set theory. This paper applies the Fuzzy Rasch model in Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to analyse the Tourism Destination Competitiveness (TDC) of nine Asian countries: China, Hong Kong, Japan, Korea, Malaysia, Singapore, Taiwan, Thailand and the Philippines. The study was conducted in 2009 using 6 criteria and 15 indices. The results demonstrate the feasibility of applying the Fuzzy Rasch model in TOPSIS to analyse TDC in Asian countries. In addition, the proposed model also provides an effective means of applying the MCDM method to study TDC. Furthermore, in 2009, the Asian countries were ranked from most to least competitive as follows: China, Japan, Hong Kong, Malaysia, Thailand, Singapore, Taiwan, Korea and the Philippines. 相似文献
140.
The hotel business is highly sensitive to economic cycles, as the industry faces high frequency and high fluctuation of uncertainty over the demand for lodging services. Without a thorough consideration on the issue, hotels may undergo a business crisis. This research therefore investigates the influence of demand uncertainty on hotel failure by using the operation data of international tourist hotels in Taiwan during 1995–2008. The analysis applies two stages of estimation. The first stage employs a first-order autoregressive model, AR(1), to model lodging demand uncertainty. The second stage estimates the likelihood of hotels’ failure by using a logit model. The results are supportive to determine that the demand uncertainty causes hotel failures. 相似文献