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The drivers of the prices of Bitcoin and Ethereum are studied within a framework based on Cagan’s model of hyperinflation. In the model, the prices of the cryptocurrencies are driven by stochastic adoption and velocity shocks as well as endogenous expectations of future prices. The model is estimated with data for prices, transaction volumes, and money supplies. A majority of price fluctuations in both currencies can be attributed to shocks in adoption, velocity shocks are much less important. The money demand sensitivity to expected price changes is estimated to be larger for Bitcoin than for Ethereum, and both have higher sensitivity than fiat currencies during episodes of hyperinflation. 相似文献
3.
Assessing potential tourists' perceptions is vital to build a destination image and brand capable to attract new and repeated visitors. The increasing popularity of craft beverage tourism in recent years is incentivizing destinations to (re)design their offerings and (re)brand their image based on their craft beverages. This study investigated how the image of an emerging craft beverage tourism destination (Ica, Peru) is formed among potential tourists by inducing cognitive image (knowledge presented through picture-text dyads) of Ica's iconic resources, staple craft beverage (pisco), and resources associated with its production. Additionally, it measured the impact of local resources' characteristics, affective image, and personal characteristics on conative image (interest to visit and willingness to recommend) at different intervention stages. Results indicate that pisco-related resources are powerful enough to motivate travel, and that the characteristics of a mix of resources should be combined with beverage-specific information when developing branding strategies for craft beverage tourism destinations. 相似文献
4.
Nowadays, industrial firms are very much careful to build a green environment by reducing carbon emissions. The government imposes some rules and regulations to provide a better eco-friendly environment. In this study, the cap-and-trade mechanism has been considered in a production model to control the carbon emissions rate. The manufacturers invest in advanced green technology to reduce per unit emissions. As online and offline selling is crucial to any industry for increasing customer demand, the manufacturers sell their products by dual-channel and advertise their products by online channel to make more popular of their products. Keeping these in mind, a sustainable flexible production model with single-type substitutable product production is considered here by imposing a cap-and-tax policy, investing in green technology, and advertising for products. This model is divided into two cases: with and without investment in green technology. The demand of each manufacturer depends upon an online selling price, an offline selling price, and an online advertisement of the product. A classical optimization technique helps to get the optimum strategies for the online selling price, offline selling price, advertisement investment, green technology, cycle time, and production rate. From the numerical study, it is proved that the industry gets 6.97% more profit in the case of green technology investment and the proposed study gives 5.74% more profit than the traditional production system. Sensitivity analysis and managerial insights are performed. 相似文献
5.
Based on how tourists interpret the destination experience and on attachment theory, this study investigates the influencing mechanism of tourists' happiness on revisit intention for traditional Chinese medicine (TCM) cultural tourism destinations. Three tourist samples confirm the three dimensions of tourists' happiness: positive emotions, engagement, and meaning. Two surveys were conducted to test the direct and indirect influence of tourists' happiness on revisit intention and the moderating role of tourists' health consciousness. The results show that tourists' happiness promotes memorable tourism experience and place attachment, in turn stimulating revisit intention. The results also support health consciousness as a significant moderator between happiness, place attachment, and revisit intention. The findings enrich theoretical understanding of tourists’ happiness and provide marketing and management advice for TCM cultural tourism destinations. 相似文献
6.
《International Journal of Forecasting》2022,38(4):1400-1404
This work presents key insights on the model development strategies used in our cross-learning-based retail demand forecast framework. The proposed framework outperforms state-of-the-art univariate models in the time series forecasting literature. It has achieved 17th position in the accuracy track of the M5 forecasting competition, which is among the top 1% of solutions. 相似文献
7.
By considering the importance of religious tourism for travel and the tourism industry, this study aims to identify religious tourists' experiences in Jerusalem, as one of the most important holy cities. By a survey, 848 data were collected from the Jewish, Christian, and Muslim religious tourists. Results showed that religious tourism experience was a multi-faceted construct, which consists of engaging mentally, discovering new things, interacting & belonging, connecting spiritually & emotionally, and relaxing & finding peace dimensions. By using these dimensions, perceived experience differences of tourists were examined depending on religion. Moreover, religious tourism experience was identified to significantly affect overall tourist satisfaction with Jerusalem. The study concluded with discussion of the findings and their implications. 相似文献
8.
Tourism demand exhibits growth cycles, and it is important to forecast turning points in these growth cycles to minimise risks to destination management. This study estimates logistic models of Hong Kong tourism demand, which are then used to generate both short- and long-term forecasts of tourism growth. The performance of the models is evaluated using the quadratic probability score and hit rates. The results show that the ways in which this information is used are crucial to the models’ predictive power. Further, we investigate whether combining probability forecasts can improve predictive accuracy, and find that combination approaches, especially nonlinear combination approaches, are sensitive to the quality of forecasts in the pool. In addition, model screening can improve forecasting performance. 相似文献
9.
This paper advances understanding of the complex and adaptive nature of indigenous Fijian communities involved in tourism. It examines how tourism-related development has set the people of one Fijian village along two separate development pathways, and explores how preferential access to tourism benefits has created disparities within the community. Complex Adaptive Systems theory and Social Capital theory are used to conceptualise how over 40 years of tourism involvement has influenced development within an indigenous Fijian community. The findings argue that indigenous Fijian communities are non-homogeneous entities, which are constantly in transition, responding and adapting integratively to both internal and external changes over time. The findings show that the emergence of new behaviours and ways of life has led to the collapse of the pre-existing systems of social capital. As a response, community members retreated and regrouped, strengthening internal bonds and social capital in their smaller social units, leading to both dependency and opportunity-seeking behaviours among participants. Ultimately, the paper asserts that money alone does not lead to development, but rather tourism and access to a variety of capital do. 相似文献
10.