Response style corrected market segmentation for ordinal data

Survey data collected for market segmentation studies is typically ordinal in nature. As such, it is susceptible to response styles. Ignoring response styles can lead to market segments which do not differ in beliefs, but merely in how segment members use survey answer options and which possibly occur in addition to the belief segments. We propose a finite mixture model which simultaneously segments and corrects for response styles, permits heterogeneity in both beliefs and response styles, accommodates a range of different response styles, does not impose a certain relationship between the response style and belief segments, and is suitable for ordinal data. The performance of the model is tested using both artificial and empirical survey data.     

Cognition of disaster risk in a tourism community: an agricultural heritage system perspective

Cognition of risk is the first step in reducing disaster damage and losses. In this study, risk cognition in the Hani Rice Terraces, the core tourism attraction in Yuanyang County, Honghe Prefecture, Yunnan, China, is analyzed based on field survey and participatory geographic information system (GIS). The results show that tourism communities have cognition of risk; are more sensitive to hazards (especially drought); have more severe potential damage and losses from hazards; and also have more enthusiasm to adapt to disaster risk, when compared with a non-tourism community. On disaster vulnerability maps, the tourism communities identified the unique “Forest – Village – Terrace - River” landscape while the non-tourism community only recognized the terrace and the village as the main elements affected by hazard. Also, the tourism communities had deeper understandings of drought, flash floods and landslide disaster risks. A conceptual model based on “Pressure – State – Response” relationships is put forward to explore the situation in which, in the tourism community, terraces have a greater variety of functions and enhanced values resulting in the spatial expansion of hazard effects.     

Effects of service orientation on job embeddedness in hotel industry

This research aims to develop and analyze a model that depicts work engagement (WE) as a mediator of the relationship between job embeddedness and service orientation. Specifically, the model examines external environmental factors (EEFs) as moderator of the effects of service orientation and job embeddedness in the hospitality industry. All data used for this study were gathered in Iran from hotels frontline employees with a two-weeks’ time lag. These relationships mentioned above were analyzed using AMOS 22.0. It was discovered in the results that WE was indeed a partial mediator and that EEFs indeed moderated the effects of service orientation on job embeddedness with adequate empirical support. The implications of the findings for the managers, the study limitations, and future research recommendations were also discussed.     

Survey-based forecast distributions for Euro Area growth and inflation: ensembles versus histograms

Ensemble methods can be used to construct a forecast distribution from a collection of point forecasts. They are used extensively in meteorology, but have received little direct attention in economics. In a real-time analysis of the ECB’s Survey of Professional Forecasters, we compare ensemble methods to histogram-based forecast distributions of GDP growth and inflation in the Euro Area. We find that ensembles perform very similarly to histograms, while being simpler to handle in practice. Given the wide availability of surveys that collect point forecasts but not histograms, these results suggest that ensembles deserve further investigation in economics.     

基于钻石模型的滨海新区制造业产业集群发展研究

天津滨海新区升格为国家级综合改革试验区的战略目标,是把以滨海新区为增长极的京津冀打造为环渤海乃至中国北方经济增长的发动机和最具国际竞争力的都市圈。本文借鉴迈克尔·波特的国家竞争优势钻石模型,构建一个地区制造业升级的竞争模型,并借助于这一模型对滨海新区制造业产业集群竞争力进行分析,从而就提升其产业集群竞争力进行了对策探析。