The effects of tourism on HSR: Spanish empirical evidence derived from a multi-criteria corridor selection methodology

The exorbitant cost of new High-Speed Rail (HSR) lines requires a selection methodology to define which HSR corridors within a network should be built first, and the most suitable evaluation tool appears to be the multi-criteria approach. In any corridor-ranking methodology, and especially in countries with high tourism attractiveness, tourism impacts on HSR should be considered as a variable.In addition to economic geography and destination choice models, the current literature on tourism demand is dominated by econometric models using a single-equation time-series based approach. However little research has been done so far on methodologies to rank HSR corridors taking into account the tourism variable. In 2014, a ranking methodology developed by Todorovich and Hagler was validated using the current Spanish HSR network. Twelve variables were used to create an index to assign scores to the city pairs, but tourism was not included as a variable. The findings showed the consistency of the model for ranking pairs mainly in the top O–D relations; however the tool failed to discriminate clearly between secondary groups of corridors.The aim of this paper is to assess empirically the positive effect of tourism on HSR and to enhance the abovementioned ranking tool with a tourism database. The new methodology is tested by application to 1176 city pairs in Spain, and the results clearly show that the implementation of a tourism variable helps discriminate between secondary groups of corridors and offers a more effective approach for determining the implications of tourism on HSR.     

Configurations of business strategy and marketing channels for e-commerce and traditional retail formats: A Qualitative Comparison Analysis (QCA) in sporting goods retailing

This article applies a configurational approach to study the fit between retail format, business strategy, and multi-channel setup. Its empirical material consists of five case studies, and a data set of 74 sporting goods retailers in Sweden. Our results show that a retailer can create strategic advantages when its multi-channel setup fits with its business strategy, and that retail format is important for explaining differences in growth and profit, the former being assigned to e-commerce and the latter to physical stores. Moreover, the study reveals that to some extent online channels also have positive performance implications for physical store retailers.     

Impact of customers' assessment of website attributes on e-relationship in the securities brokerage industry: A multichannel perspective

The paper focuses on the comparison between pure e-retailers and multichannel retailers' customers and how they differ in their evaluations of functional and relational attributes of the website, as well as how these attributes impact online relationships. An online survey among online securities investors was conducted. Subjects were self-selected from blogs and forums dedicated to personal finance. A total of 326 questionnaires formed the final sample of this study. By using a series of univariate analyses of variance, structural equation modeling, and multi-group analysis, this research empirically demonstrates that the e-service quality evaluation and determinants of online relationship are different in multichannel contexts versus pure online ones. Results show that customers of multichannel retailers are not more loyal than those of pure online retailers. However, multichannel retailers exceed pure online retailers at achieving a higher level of online trust and a higher assessment of website features. The paper concludes with managerial implications that may be useful in multichannel retailing.     

An estimation of returns to scale of airport airsides under multiple optimal solutions in DEA

The returns to scale (RTS) nature of 37 Chinese airport airsides are investigated in this paper. Multiple optimal solutions in DEA (Data Envelopment Analysis) models may lead to error RTS estimation. To address this problem, we use the (Zhu and Shen, 1995) RTS method. The empirical study shows that all those airsides with two runways operate under decreasing RTS and those airsides with only one runway either operate in the area of increasing RTS or in the area of constant RTS.     

Analysis of tourism information sources using a Mokken Scale perspective

This study contributes to the analysis of information sources as a determinant of the travel decision-making process. It focuses on the use of Mokken Scale Analysis (MSA) as a new methodological approach to detect unidimensional hierarchical scale in the analysis of information sources. The paper shows how MSA can be applied in the tourism field. Findings reveal two different scales (active and passive information search scales) for classifying information sources in tourism. Variations in the scales are revealed, taking socio-demographic and travel behavioural variables into consideration. The conclusions clearly explain the implications for tourism marketers and make recommendations for future research.     

'More is not necessarily better': the relationship between the quantity and quality of training efforts

International comparisons indicate that, on average, Belgian companies spend less on training than their French, German and Dutch counterparts. Encouraging companies to commit to training has consequently been an important policy goal over the last few years. One notable aspect of the policy to encourage training efforts by companies is that the effort is always represented in terms of the resources invested (input), not in terms of the learning achieved (output) or the quality of training programmes (throughput). Government policy is aimed at increasing the level of investment in company training. One of the questions we wish to investigate is whether this input-oriented approach to the training issue is actually effective. Whether companies will succeed in raising human capital to ever-increasing levels may depend not only (and maybe not even chiefly) on the extent of financial investment in training. The investment level does not necessarily determine the quality of the training processes developed by companies. Therefore, this paper focuses on the following research questions: (1) to what extent do companies monitor the systematic development of sufficiently effective training processes? In other words, is qualitative under-investment an issue, alongside financial under-investment? (2) Is the level of financial investment in company training correlated to the quality of training processes? The empirical data confirm that a kind of 'qualitative' under-investment can be reported and that the relationship between the level of investment in training and the quality of the training programmes is weak.     

Risk-based decision analysis in support of precautionary policies

A decision-analytic model for avoiding a risky activity is presented. The model considers the benefit and cost of avoiding the activity, the probability that the activity is unsafe, and scientific tests or studies that could be conducted to revise the probability that the activity is unsafe. For a single decision maker, thresholds are identified for his or her current subjective probability that the activity is unsafe. These thresholds indicate whether the preferred course of action is avoiding the activity without further study, engaging in the activity without further study, or conducting a test or research programme to obtain additional information and following the result. When these thresholds are low, precautionary action is more likely to be warranted. When there are multiple stakeholders, differences in their perceptions of the benefit and cost of avoidance and differences in their perceptions of the accuracy of the additional information provided by the test or research programme combine to create differences in their decision thresholds. Thus, the model allows for the rational expression of differences among parties in a way that highlights disagreements and possible paths to conflict resolution. The model is illustrated with an application to phytosanitary standards in international trade and examined in terms of recent empirical research on lay perceptions of risks, benefits, and trust. Further research is suggested to improve the elicitation of model components, as a way of fostering the legitimate application of risk-based decision analysis in precautionary policy making.     

C2C电子商务卖家及其产品成交量的多层线性影响分析

论文以淘宝网为对象收集样本,运用多层线性模型研究价格、信息描述、默认排名、卖家信用度和卖家好评率对成交量的影响。结果显示成交量在不同商家间存在显著的差异,价格和信息描述会对成交量产生重要影响而默认排名影响不显著,卖家信用度和卖家好评率会对成交量产生显著的影响。     

含有中间变量的农村信用社可持续经营效率评价

本文借助含有中间变量的两阶段DEA评价方法对陕西省涉农地区不同信用社的可持续经营效率进行了评价。得出了大部分涉农地区基层信用社存在存款严重不足、发放贷款效率比吸收存款效率高、非利息支出过多、非利息收入不足等结论。     

“逆全球化”探源:基于双边投资协定深度决定因素的研究

近年来全球化进程受阻,“逆全球化”根源有待进一步探讨。本文首次利用贸发会议“IIA绘图”数据,构建涵盖101项关键条款的双边投资协定(BITs)深度评价体系,测算了全球2539份BITs深度数据。通过理论和实证研究发现,东道国区位优势和母国所有权优势是决定BITs深度的重要因素。具体来看,东道国劳动力和自然资源禀赋的区位优势对BITs深度具有显著抑制作用,母国资本、技术和制度质量的所有权优势对BITs深度具有显著促进作用,同时母国资本和技术水平对BITs深度的影响存在异质性。进一步研究表明,2008年金融危机后,东道国劳动力资源对BITs深度的抑制作用增强,母国资本和技术水平的促进作用减弱,导致世界经济呈现“逆全球化”趋势,提高母国制度质量是实现经济全球化发展的有效途径。