Estimating the Economic Impact of Convention and Exhibition Businesses,Using a Regional Input–Output Model: A Case Study of the Daejeon Convention Center in South Korea

Past research on the economic impact of convention and exhibition businesses has neglected disaggregated expenditures of these consumer groups. The primary reason for this neglect is that estimating the economic impacts of these businesses is complicated and requires comprehensive surveys of various consumer groups. Thus, this study estimated expenditures based on surveys to different consumers such as convention and exhibition visitors, convention and exhibition organizers, and exhibitors. This study also employed a regional input–output (I–O) model and then matched the types of expenditure patterns with the I–O table. Survey results show that exhibition visitors spent the largest amount (US$153 million), followed by convention attendees (US$48 million), convention organizers (US$47 million), exhibition organizers (US$3.3 million), and exhibitors (US$2.8 million). The results of the I–O model indicate that the Daejeon Convention Center generated US$488 million of output impact, US$102 million of income impact, US$233 million of value added impact, and 10,211 jobs.     

Total Factor Productivity Assessment of Tourism Industry: Evidence from China

This paper adopts the Malmquist Index and panel data model to measure and test the spatial–temporal evolutionary characteristics and the factors that affect total factor productivity of China's tourism industry from 2001 to 2009. The results show the following: there is a trend of growth in the total factor productivity of China's tourism industry, and technological progress is the dominant factor that affects total factor productivity changes, which indicates that the growth pattern of China's tourism industry has changed from a pattern driven by input factors to a pattern driven by technology; the spatial pattern of the total factor productivity of China's tourism industry has changed from a spatial pattern dominated by provinces with a low productivity to a spatial pattern dominated by provinces with a high productivity; the total factor productivity of China's tourism industry is mainly affected by the levels of economic and service industry development.     

Enhancing online brand experiences: An application of congruity theory

Providing a distinctive brand experience is critical to differentiate each hotel brand from others, due to the intangible characteristics of the hotel industry. Rooted in congruity theory, this study investigated how three congruities (i.e., self-image congruity, online–offline brand image congruity, and value congruity) influenced customers’ online brand experiences and their brand trust. Results from this study indicated both self-image congruity and online–offline brand image congruity significantly influenced both customers’ online brand experiences and their trust toward the hotel's brand. Extending brand experience literature and congruity theory, this study suggested hotels should develop a strategy that could capture these three congruity effects in online and offline channels because these effects should be key determinants for customers’ online brand experiences and their responses.     

Place attachment,host–tourist interactions,and residents’ attitudes towards tourism development: the case of Boa Vista Island in Cape Verde

A clear understanding of residents’ attitudes towards tourism development and its determinants is a crucial pillar for designing tourism development strategies to promote sustainable development. The literature on the influence of host–tourist interactions and place attachment on residents’ attitudes towards tourism development in developing countries is still scarce. To extend knowledge in this field, this study aims at developing and testing a structural model to examine direct and indirect causal effects of place attachment, host–tourist interaction, and perceived positive and negative tourism impacts on the residents’ attitudes towards tourism development in an island tourism destination – Boa Vista Island in Cape Verde. Results suggest that the residents’ attitudes are positively affected by place attachment, host–tourist interaction, and perceived positive impacts; and negatively affected by perceived negative impacts. Host–tourist interaction emerges as the strongest (direct and indirect) determinant of the residents’ attitudes towards tourism development. Moreover, although both positive and negative perceptions of tourism impacts have significant impacts on the residents’ attitudes, the influence of the former is stronger than that of the latter. The paper ends with relevant theoretical and practical implications to promote positive residents’ attitudes towards tourism development in Boa Vista.     

Expectations of Working Relationships in International Buyer–Seller Relationships: Development of a Relationship Continuum Scale

This study is an attempt to develop a scale to measure expectations of buyer–seller working relationships on a cross-cultural basis in the hospitality industry. The focus is on North American and Asian hotel salespeople. The scale development drew from previous research in guanxi relationships, purchasing, and selling strategies. While the results did not support a reliable unidimensional scale that could distinguish between transactional and collaborative working relationships, the methodology did create a framework for further scale development.     

Can the North–South trade regime explain intra- and inter-country productivity differences?

The literature identifies North–South disparities in Total Factor Productivity (TFP), which, in turn, justify the bulk of international income differences. By building a dynamic, general equilibrium model of North–South technological-knowledge diffusion with scale-invariant growth, we extend the literature in several directions: (i) growth is driven by Schumpeterian R&D and by high and low-skilled human-capital accumulation; (ii) three trade regimes are considered; (iii) sectoral and aggregate TFP measures are computed; (iv) the extent to which the North–South trade regime explains intra-country TFP and inter-country TFP differences is evaluated. In particular, the results suggest that intra-country TFP differences increase and inter-country TFP differences fall when countries are more interdependent.     

INTEREG: A Twenty-region Input–Output Model for Italy

Since the regional scale turns out to be the scale at which fiscal devolution is likely to be accomplished in Italy, and that at which trade and growth interdependencies as well as regional convergence can be most conveniently investigated, a new 20-region input–output model for Italy seems to be a useful tool of analysis. Although various regional and interregional models have been constructed since the 1950s, none has been implemented for the whole system of 20 Italian administrative regions considered in their tight mutual dependence; also, the pool approach has not been greatly favoured, even in situations where direct information on regional trade is lacking. The main purpose of this paper is to report on the structure of the model, the rather complex procedure used in the model construction and the adopted solution technique. Some space is devoted to the problems encountered in handling regional trade endogenously in an input–output setting and to a comparison between the pool approach, used in the Italian model, and other current techniques. The paper also reports on some preliminary results regarding the regional impact of fiscal policy.     

Modelling the implied volatility surface based on Shanghai 50ETF options

We develop a dynamic factor model to forecast the implied volatility surface (IVS) of Shanghai Stock Exchange 50ETF options. Based on the assumption that dynamic change in IVS is mean-reverting and Markovian, we use a state space model to capture the dynamics of IVS, and set the latent factors to be the Ornstein–Uhlenbeck processes. We obtain the optimal estimations of parameters using the Kalman filter algorithm. Empirical results show that our model performs better than the traditional IVS model in terms of fitting ability and prediction performance.     

An input–output virtual laboratory in practice – survey of uptake,usage and applications of the first operational IELab

ABSTRACT

The Industrial Ecology Virtual Laboratory (IELab) is a collaborative cloud-computing platform for compiling large-scale, high-resolution, enviro-socio-economic accounts based on multi-region input–output tables and for conducting integrated sustainability assessment projects. These include, for example, assessments of biofuels and low-carbon construction materials or high-resolution waste modelling. This contribution provides a structured review of IELab applications that were published in either peer-reviewed journal papers or in the form of conference proceedings. The main research question posed is ‘What are the specific features of IELab that were used in the research and could the research have happened without them?’ It is investigated whether the IELab has actually and truly enabled new research. A detailed analysis of IELab characteristics and their usage is presented. The results can help with the design of new research projects and inform existing and prospective users of the IELab about the options for academic research and practical applications.     

Effects of work–family and family–work conflicts on flexible work arrangements demand: a gender role perspective

In recent years, a growing number of firms have adopted flexible work arrangements (FWAs) to help managers balance their work–family demands. Based on a sample of 1336 married managers in Korea, we found that work–family conflict increased the FWAs demand more for female managers than for male managers. When facing work–family conflict, the absence of family-supportive supervision increased the demand for FWAs, particularly among female managers. No such effect was found for family–work conflict. In addition, having a female supervisor led to an increased demand for FWAs from company managers. These results suggest that firms should pay close attention to gender difference and supervisory roles in predicting the demand for FWAs to alleviate work–family conflicts.