A tourism demand function for the Okanagan,BC

This study examines the relative importance of the existing determinants of tourism demand in the Okanagan. Because national coefficients cannot be used intercnageable with regional coefficients, it is hypothesized that the values of the Okanagan demand elasticities are likely to be lower than that of the Province and the nation. Five major markets for Okanagan tourism with identified and separate regressions run to determine the relative importance of the determinants of demand for Okanagan tourism with respect to these markets. Empirical results indicate that national coefficient will tend to overestimate the regional coefficient values. Contrary to the results of other studies for the nation as a whole, the exchange rate and travel cost did not seem to be significant determinants of Okanagan tourism receipts.     

Impacts of seasonal patterns of climate on recurrent fluctuations in tourism demand: Evidence from Aruba

This study estimates the effect of seasonal patterns of pull and push climate elements (rainfall, temperature, wind, and cloud coverage) on recurrent fluctuations in tourism demand from the United States (USA) and Venezuela to Aruba. The seasonal patterns were first isolated from the series using the Census X-12 decomposition method, after which the analysis included panel data unit root testing, panel data regression, and Euclidean distance calculation. The results show that both pull and push seasonal factors of climate were relevant in determining the seasonal variations in tourism demand from both countries. The study derives two theoretical propositions: (1) climate is a significant push and pull factor affecting tourism demand; and (2) tourism demand and climate are bounded by intertemporal climate constraints.     

Rural tourism demand by type of accommodation

This paper develops a methodology which will enable the determination of the tourist profile which corresponds to the different types of existing accommodations in a certain destination of rural tourism. This is accomplished through the use of a two-stage method (a correspondence analysis followed by a cluster analysis) to classify the accommodations in a reduced number of groups, so that each group constitutes a type. The estimation of a Multinomial Logit model determines the characteristics of tourist who is most likely to opt for each type of accommodation. Results from a study in Murcia indicate that the wide variety of accommodations with respect to size and type is a suitable form of attracting individuals of different profiles.     

The length of stay in the demand for tourism

One of the main characteristics of current tourism is the reduction in the length of stay at a destination. Nevertheless, this variable has received little attention in literature. This paper examines the microeconomic determinants of the length of stay at one of the Mediterranean's leading sun-and-sand destinations. The estimation of a conditional demand function model highlights the explanatory power of the tourist's sociodemographic profile and of holiday characteristics, as well as the sensitivity of the length of stay to price changes.     

A meta-analysis of international tourism demand forecasting and implications for practice

Numerous studies on tourism forecasting have now been published over the past five decades. However, no consensus has been reached in terms of which types of forecasting models tend to be more accurate and in which circumstances. This study uses meta-analysis to examine the relationships between the accuracy of different forecasting models, and the data characteristics and study features. By reviewing 65 studies published during the period 1980–2011, the meta-regression analysis shows that the origins of tourists, destination, time period, modeling method, data frequency, number of variables and their measures and sample size all significantly influence the accuracy of forecasting models. This study is the first attempt to pair forecasting models with the data characteristics and the tourism forecasting context. The results provide suggestions for the choice of appropriate forecasting methods in different forecasting settings.     

Cultural and non-cultural tourism: Evidence from Italian experience

Cultural tourism is recognized as one of the main resources used to counteract seasonality in tourist destinations, being by its very nature non-seasonal. Moreover, according to the generally accepted stereotype, cultural tourists tend to be ageing and therefore more likely to travel also during the off-peak season than younger tourists. Our data show that international cultural tourism has increased in Italy during the last 15 years, but this increase has not contributed to reducing seasonality. We have conducted a statistical analysis of the data in an attempt to explore the possible reasons behind such an unexpected finding. By comparing foreign cultural and non-cultural tourists through several socio-economic-demographic variables, our results highlight the fact that a “new (and younger) cultural tourism” is emerging in Italy. Consequently, promoting cultural tourism is just one component for effectively counteracting seasonality. Nevertheless, promotion should also focus on the dual concept of “cultural tourism/ageing tourists”.     

Determinants of demand for international tourist flows to Turkey

This article describes the development and findings of a set of models used to identify the most important of the following selected variables influencing international tourist flows to Turkey: per capita income; relative prices; relative exchange rate; promotional expenditure (the Turkish Government has invested a substantial amount in promoting foreign tourism) and ‘special events’, eg political unrest. The demand for travel was measured both by the number of tourists, and by the total tourist expenditure. Data were obtained from secondary sources, and analysis was by least squares multiple regression. Income, price and exchange rate were found to be important factors but the impact of promotional expenditure was minimal     

A panel data-based analysis of factors influencing market demand for Chinese outbound tourism

This paper presents data on the top 50 outbound destinations for Chinese tourists from 2002 to 2013. The total number of Chinese tourists traveling to these 50 destinations accounts for 95.38% of outbound travelers from China. We built a dynamic panel data model to measure factors that influence market demand for Chinese outbound tourism. The results show that economic variables such as income, tourism prices, and exchange rates have a significant influence on outbound tourism volume. The effect of bilateral goods trade and leisure time significantly differ between the full sample and the two subsamples, whereas political stability of the destinations and special incidents in China have no significant impact on demand for outbound tourism. Based on these findings, this study proposes strategies to strengthen the management of China’s outbound tourism market.     

A quantile regression analysis of tourism market growth effect on the hotel industry

This study used the quantile regression method to investigate how inbound tourism market growth proxied by the growth rate of total foreign tourist arrivals (GTA) affects the growth rate of sales (GS) and financial performance of hotel firms in Taiwan. The ordinary least squares estimation results of panel regression test revealed that GTA significantly affects GS, but has no significant effect on financial performance (proxied by hotel equity return). However, quantile regression tests revealed new and interesting results. GTA has a significant effect on GS at the different quantiles of GS. In comparison, although hotel equity return was not significantly related to GTA at the median and high quantiles, the effect of GTA on hotel equity return was statistically significant at the low quantiles. These results suggest that the effect of GTA on hotel equity return is asymmetric and state-dependent, conditional on the distributions of hotel equity return. The study further identified that GTA has a significant influence only on equity returns of hotels with a small size.     

Climate in the region of origin and destination choice in outbound tourism demand

This paper describes the relationship between regional climate in the home area and the choice of taking holidays in the region of origin or abroad. This decision is simultaneously estimated with a bivariate probit model. The study combines the socioeconomic characteristics of European households with information on the region of residence, such as climate, which is defined according to a new annualized climate index. The estimated probabilities are analysed using GIS and nonparametric techniques. The results of modelling support the hypothesis that the climate in the region of residence is a strong determinant of holiday destination choice. They show that residents in regions with better climate indices have a higher probability of travelling domestically and a lower probability of travelling abroad.     

Academic tourism demand in Galicia,Spain

The last few decades have witnessed a dramatic increase in the mobility of higher education students. When fulfilling certain conditions, this type of mobility can actually be considered a type of tourist activity. This paper justifies the choice of the term “academic tourism” to describe such a form of tourism. Further to this, its primary purpose is to identify the main determinants that drive the demand of academic tourism in Galicia. An empirical analysis has been carried out using a dynamic panel data model by a generalized method of moments (GMM). Contrary to what can be observed in other types of tourism, the results suggest that academic tourism depends mainly on determinants that are not strictly economic; namely, the relevance of the habits and preferences of students, the potential for differential attractiveness of the University of Santiago de Compostela, and the significant impact of the Erasmus programme. In light of these results, policy implications are then discussed.     

Demand elasticities of tourism in Singapore

In 1983 the UN Economic and Social Commission for Asia and the Pacific set up a study to investigate the relationship between prices of tourist goods and tourist inflow in Singapore. The analysis was carried out on a “world” level using amalgamated data for 15 nations, also individually for each of the five major tourist-generating countries. Determinants of demand considered were - income, exchange rates, shopping and hotel prices, and local disturbances. Tourism demand is found to be highly income elastic whereas effects of prices and exchange rate movements vary between countries. Two out of three disturbance factors significantly reduced demand.     

The impacts of governance and institutions on inbound tourism demand: evidence from a dynamic panel data study

This study explores the impact of governance and institutions on inbound tourism demand in Malaysia using a dynamic panel data approach for 45 tourism source countries over the period 2005–2015. The results show that institutions play a very important role in explaining the behaviour of inbound tourism demand. To obtain a better picture, we investigate the response of international tourists to disaggregated institutional quality. We find that international tourists are more concerned about political stability, governmental effectiveness, regulations, laws, and corruption than voice and accountability. Therefore, policymakers should focus on ways to improve institutional quality to significantly increase international tourist arrivals.     

Antecedents and consequences of home-sharing stays: Evidence from a nationwide household tourism survey

This study aims to understand the demand for home-sharing lodging and whether this accommodation choice influences guest experiences, in terms of overall trip satisfaction and perceived value. Using a dataset from a large-scale nationwide household tourism survey, we adopted a two-step empirical analysis to investigate the antecedents and consequences of home-sharing stays. In the first step, results from logit models highlight various factors explaining the drivers behind choosing home-sharing lodging versus hotel lodging, such as tourists' tripographics, prior travel experiences, tech savviness, sociodemographics, destination home-sharing supply, and crime rate. In the second step, we employed propensity score matching to compare trip satisfaction and perceived value between home-sharing users and hotel users who were matched based on a similar propensity to choose home-sharing. Results suggest that while home-sharing users perceive a higher value for the trip, no significant difference exists between the two groups’ trip satisfaction. Lastly, practical implications are provided.     

Seasonal concentration of tourism demand: Decomposition analysis and marketing implications

This paper analyzes seasonality in the United Kingdom, specifically the English regions in relation to tourists' place of origin and main travel motivation. The method used is a decomposition of the Gini index, which provides relative marginal effects that facilitate the identification of market segments open to counter-seasonal marketing efforts. This method has been combined with a graphical multivariate technique (biplot), which groups segments according to their seasonality characteristics. Seasonal patterns associated with particular segments differ significantly when studied on a disaggregated basis. Therefore, an adequate level of disaggregation is essential in the design of counter-seasonal strategies. Although this study focuses on British destinations, this methodology could be used as a control and monitoring measure in the regional analysis of any destination, facilitating regular adjustment of regional tourism marketing campaigns to minimize seasonality effects, specifically by targeting the types of tourists less prone to seasonality.     

Health care and tourism: Evidence from Singapore

This research note analyses the role of the health care sector in international tourism and the impact of international tourism on the state of health care in Singapore. The results suggest that there is a long-run unidirectional causality from health care to international tourism. The effect of health care on international tourism is positive. However, in the short-run, the results also indicate that there is no causality between these two variables. It is concluded that the current efforts of the Singaporean government to establish Singapore as a leading medical hub will attract more inbound tourists in the long-run.     

Dynamic heterogeneous panel data analysis of tourism demand for Singapore

The objective of this study is to investigate tourism demand for Singapore using heterogeneous dynamic panel estimation methods. A binary variable representing the operation of Integrated Resorts (IRs), as well as income and real exchange rate, are included as determinants of tourism demand growth. Using seasonally adjusted and actual/raw quarterly data of 16 origin countries, our study shows that the pooled mran group (PMG) estimator is able to provide consistent and efficient estimates of long-run relationships between tourism demand and the determinants. The PMG results show that the long-run income (price) elasticity is positively (negatively) significant, with an elasticities range between 0.915 and 3.05 (?0.275 and ?0.34). In addition, the study reveals that the IRs contribute to tourism demand growth, especially in attracting tourists from Asia. In the long term, tourism demand by the Asian markets is less income-sensitive than that of the non-Asian counterparts.     

Tourism product development and the changing consumer demand: A case study of Kenya

Kenya is an important tourist destination in Africa accounting for over 6% of the total international tourist arrivals to the continent. However, in recent years Kenya's tourism industry has been experiencing problems of poor performance and continuing decline in the number of international tourist arrivals. This study examines the main characteristics of the country's tourism product vis‐a‐vis the changing trends in global tourism market demands. It is argued that the underlying cause of the recent poor performance of the tourism industry relates to the nature of the country's tourism product. Over the years, Kenya has been offering a limited tourism product that is based on beach and wildlife tourism. Also, the marketing of Kenya mainly depends on overseas tour operators who mainly sell inclusive tour packages. Thus, the form of tourism product that is offered by Kenya has not responded to the recent changes and trends in international tourism market demands. Post‐modern tourists, particularly tourists from developed countries, are increasing becoming aware of the negative impacts of mass tourism and are increasingly looking for alternative tourism products that provide a deeper and more meaningful experience. Thus, if Kenya is to rejuvenate its tourism industry there is need for the country to provide a diverse alternative tourism product which is more appealing to the post‐modern tourists.     

Asymmetric impact of oil prices,exchange rate,and inflation on tourism demand in Pakistan: new evidence from nonlinear ARDL

This study scrutinized the asymmetric impact of oil prices, exchange rate, and inflation on tourism demand in Pakistan using [Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014) Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In Festschrift in honor of peter schmidt (pp. 281–314). New York, NY: Springer] nonlinear autoregressive distributed lag (NARDL) model. The NARDL bounds test examined the existence of cointegration in study variables, including CO₂ emissions, institutional quality, oil prices, exchange rate, inflation, and tourism demand. The evidence proposes that disregarding the intrinsic nonlinearities may misinform inference. The estimated NARDL model affirmed long-run negative and significant effect of CO₂ emissions on tourism demand, while institutional quality was positively associated with tourism demand. Furthermore, the findings of the study also suggested long-run asymmetric relationship between oil prices, exchange rate, inflation, and tourism demand.     

Effective Utilization of Human Resources in Kenya

ABSTRACT

Entrepreneurship, according to the classical economic definition, is an instrument for transforming and improving the economy and society. Entrepreneurs are regarded as persons who build and manage an enterprise for the pursuit of profit in the course of which they innovate and take risks, as the outcome of any innovation is usually not certain. Tourists are consumers of experiences and these experiences are made up of many elements. Tourists come from diverse origins to visit numerous destinations, overcoming great distances through transportation. It follows that opportunities for innovation occur in any product or service that contributes to this experience at off-the-origin point, the destination, or in route between the two. In Kenya, much of tourism is wildlife based and beach based in specific regions. Also, it is only the Maasai, Samburu, and the Coastal ethnic groups whose culture is being exploited while there are 42 ethnic communities living here. Hence the need for this research is to expose other areas in Kenya as well as cultures, and further to examine and concentrate upon the opportunities for entrepreneurship in Western Kenya which has a rich dynamic culture and potential.