Forecasting the Covid-19 recession and recovery: Lessons from the financial crisis

We consider simple methods to improve the growth nowcasts and forecasts obtained by mixed-frequency MIDAS and UMIDAS models with a variety of indicators during the Covid-19 crisis and recovery period, such as combining forecasts across various specifications for the same model and/or across different models, extending the model specification by adding MA terms, enhancing the estimation method by taking a similarity approach, and adjusting the forecasts to put them back on track using a specific form of intercept correction. Among these methods, adjusting the original nowcasts and forecasts by an amount similar to the nowcast and forecast errors made during the financial crisis and subsequent recovery seems to produce the best results for the US, notwithstanding the different source and characteristics of the financial crisis. In particular, the adjusted growth nowcasts for 2020Q1 get closer to the actual value, and the adjusted forecasts based on alternative indicators become much more similar, all unfortunately indicating a much slower recovery than without adjustment, and very persistent negative effects on trend growth. Similar findings also emerge for forecasts by institutions, for survey forecasts, and for the other G7 countries.     

The role of public space in constructing experience capital: A longitudinal analysis in the hotel context

Public space plays a primary role in shaping customers' hospitality experiences. Yet how public space conditions customers' experiential outcomes in accumulating capital for hospitality organizations remains underexplored. Inspired by the theory of psychological ownership, this research presents an in-depth analysis of the impacts of customers' public space experiences on their experiential outcomes using a longitudinal hotel industry dataset merging information from customer surveys, property performance, and surrounding accessibility insights. Findings revealed the positive effects of customers’ public space experiences on their overall service experiences, the perceived value of the experience, revisit intentions, and recommendation intentions. Moreover, hotel class, other customers, and surrounding accessibility were empirically verified as moderators conditioning the positive impact of public space. These findings offer valuable implications for theory and practice that are worthy of further exploration.     

Designing successful temporary loyalty programs: An exploratory study on retailer and country differences

Retailers increasingly adopt temporary loyalty programs (TLPs), in which consumers have limited time, often less than half a year, to save stamps and redeem highly discounted rewards. These programs often run alongside the retailers’ permanent loyalty programs in an attempt to increase customer engagement. Despite the growing popularity of TLPs, the literature on the topic remains limited. We address this gap by looking at the redemption rate, the industry’s primary success indicator, of almost 900 TLPs across a broad set of grocery retailers in 45 countries. We study the effects of four key design characteristics (the duration of the program, the discount offered, the spending requirement before an award can be redeemed, and the reward depth) on the redemption rate, and explore how these effects vary across a broad range of retailer and country characteristics. In doing so, we control for both a retailer’s potential self-selection into running a TLP and the potential endogeneity of the subsequent design choices. We derive a set of actionable results on how to design successful TLPs and show that high redemption rates are not only beneficial for the program operator and reward manufacturer, but also translate into higher sales and profit for the retailer.     

全货运航空公司单分配严格枢纽航线网络优化设计

针对全货运航空公司，研究其货运航线网络的构建问题。基于单分配严格枢纽航线网络，对传统模型进行改进。以各航线上货物的委托运输成本和自有机队的运输成本，取代传统的单位运输成本和折扣因子，考虑枢纽点的中转成本和载运率对路径选择的影响。结合航空货运夜航的特征考虑各机队夜间可用时间的限制，以总成本最小为目标，构建数学模型，采用LINGO优化软件求解，验证模型的有效性，为全货运航空公司构建货运航线网络提供参考。     

Corporate rebranding: effects of corporate visual identity changes on employees and consumers

Many organizations invest periodically in a new corporate visual identity (CVI). This study investigates the main effects of CVI changes in four organizations, taking into account three independent variables: stakeholder type (employees vs. consumers), the specific organization, and communication about the CVI change. The results show that CVI changes had positive effects on CVI appreciation and identity/image. However, the effects were different for employees and consumers and differed between specific organizations. Furthermore, adequate communication about the new CVI appeared to be important for people’s appreciation of the CVI. The implications of these findings are discussed.     

Institutional Economics as Theory of Policy Change: Impact of Past Policy Failures on Present Policy

Social scientists have developed several theories for understanding or evaluating policy change over time. Since all costs or benefits are not internalized owing to positive transaction costs, policymaking is always implemented under cost underestimation conditions and, therefore, is imperfect. I call this trait policy failure in this article. Furthermore, I show that a new framework combining the social costs approach and the legal/economic approach in institutional economics is suitable and can be applied to evaluating how past policy failures affect present policy, providing as an example the Fukushima nuclear disaster in Japan.     

Tourists’ hotel event experience and satisfaction: an integrative approach

ABSTRACT

Tourists’ hotel event experiences have received little attention in tourism research. By proposing an integrated model of expectation–confirmation theory (ECT) and the experience economy concept, this research explores the relationship between tourists’ event experience and their satisfaction regarding the hotel event setting. The hypothesized model was empirically validated using a sample of 663 tourists who experienced a holiday event at a resort hotel. Results confirmed that the integration of the experience economy and ECT provided a better understanding of tourists’ post-satisfaction in a pleasure-driven setting. This affective–cognitive approach advances the knowledge of tourists’ experiences and satisfaction at hotel events.     

Assigning Refugees to Landlords in Sweden: Efficient,Stable, and Maximum Matchings*

In this paper, we investigate the problem of finding housing for refugees once they have been granted asylum. In particular, we demonstrate that market design can play an important role in a partial solution to the problem. More specifically, we investigate a specific matching system, and we propose an easy-to-implement mechanism that finds an efficient, stable, and maximum matching. Such a matching guarantees that housing is efficiently provided to a maximum number of refugees, and that no refugee prefers another specific landlord to their current match when, at the same time, that specific landlord prefers that refugee to their own current match.     

荷兰农业绿色转型经验与政策启示

[目的]与我国的农业资源禀赋条件相似,荷兰人多地少,农业资源贫乏,却是世界农业强国,其20世纪80年代开始的农业转型之路对促进我国当前农业绿色发展具有重要借鉴意义。[方法]结合实地调研与文献研究,文章梳理了荷兰40年来在农业环境治理方面的具体政策设计和实施效果,并分析了其主要经验做法及对我国发展的启示。[结果]从畜禽养殖数量控制到化学投入品控制、再到农业资源全管理,荷兰始终坚持以种养结合的可持续发展模式应对农业资源环境挑战,不断强化循环利用技术推广应用,逐步建立了严格的农业资源环境监管体系和政府支持体系,在农业污染得到有效治理的同时,依然很好地保持了国际市场竞争力。[结论]荷兰曾经面对的养殖业污染、化学品过度投入等问题也是我国当前农业环境的突出问题,其当时采取的转型思路与我们目前的绿色发展理念高度一致,借鉴荷兰经验,加快推进我国农业绿色发展,亟需创新循环农业发展模式,加强绿色发展技术支撑,建立并完善农业绿色发展制度体系,协同推进农业资源环境保护和农业竞争力提升。     

Islamic and conventional portfolios optimization under investor sentiment states: Bayesian vs Markowitz portfolio analysis

This paper investigates the portfolio optimization under investor’s sentiment states of Hidden Markov model and over a different time horizon during the period 2004–2016. To compare the efficient portfolios of the Islamic and the conventional stock indexes, we have employed two approaches: the Bayesian and Markowitz mean-variance. Our findings reveal that the Bayesian efficient frontier of Islamic and conventional stock portfolios is affected by the investor’s sentiment state and the time horizon. Our findings also indicate that the investor’s sentiment regimes change the Islamic and the conventional optimal diversified portfolios.Moreover, the results show that the potential diversification benefits seem to be more important when using the Bayesian approach than when applying the Markowitz approach. This finding is valid for the bearish, depressed, bullish and calm states in Islamic stock markets. However, the diversification of potential portfolios is significant only for the bullish and the bubble states in the conventional financial markets.The findings of the study provided additional evidence for investors to exploit googling investor sentiment states to evaluate the portfolio performance and make an optimal portfolio allocation.