A comparative study of eight COVID-19 protective measures and their impact on Swiss tourists’ travel intentions

A comparative vignette-based experimental survey design incorporating various socio-psychological factors, linked to the Theory of Planned Behavior (TPB), the Health Belief Model (HBM) and the Domain-Specific Risk-Taking scale (DOSPERT) was carried out to test variations in eight travel-related COVID-19 protective measures on Swiss tourists’ travel intentions. Among the tested measures, vaccination passports, surgical masks and quarantining are those that stand out the most, with surgical masks having the greatest acceptance and willingness to adopt while traveling. Quarantining, on the other hand, appears to have a deterrent influence on travel intentions, and vaccination passports have the lowest perceived barriers during travel, but the highest perceived benefits in mitigating the spread of the infection. The discussion of individual differences has specific implications for tourism management against the background of our empirical findings.     

Mitigating panic buying behavior in the epidemic: An evolutionary game perspective

The panic buying behavior under public health emergencies will lead to many adverse consequences, such as material waste, price fluctuation and uneven distribution of epidemic prevention materials, which will pose a threat to the social stability and economic development. In this paper, we construct a tripartite game model to explore the strategic choices of the public, merchants and the government in order to effectively respond to the panic buying behavior in the epidemic. The results demonstrate that: (1) Eight evolutionary stable strategies emerge in the panic buying events. The worst scenario can be improved by adjusting some relevant parameters. (2) The probability of the public choosing the strategy of “not involving in panic buying” depends on the potential benefits and losses of snapping up, rather than the extent of price rising. (3) The probability of merchants choosing the strategy of “not bid up price” depends on the intangible benefits. (4) The probability of the government choosing the strategy of “active supervision” depends on the supervision costs and government credibility, rather than the amount of fines. In addition, strategic suggestions to mitigate panic buying behavior are put forward from the perspective of each stakeholder.     

产学研协同创新成本分摊机制研究

产学研协同创新是推动技术创新的一条重要路径，但创新成本分摊机制是影响产学研协同合作的一个重要问题。通过构建充分竞争市场下的多阶段博弈模型，从成本分摊机制角度探究了如何有效推进产学研协同创新。通过模型扩展与求解，获得成本分摊后的帕累托改善以及产学研协同创新的可行路径。结果表明：企业和学研方基于自身收益最大化而进行的成本分摊协商无法实现帕累托最优，而轮流出价博弈模型下的成本分摊形成机制能够有效改善各方收益，并使整体收益达到帕累托最优，因此是一条现实可行的帕累托改善路径，其中，各方获得的收益增量与耐心程度的对比有关。     

数量驱动或创新驱动：异质型人力资本对经济增长的机制演进

基于1987-2017年中国省际面板数据，运用SYS-GMM模型研究异质型人力资本对经济增长的影响。在区分高级与基本人力资本基础上，基于招生率和收入维度，从全局和阶段差异视角剖析异质型人力资本对经济提速的机制演进。研究发现：全局而言，两种测度下基础和高级人力资本各自以数量及创新方式驱动经济增长，并呈现以数量驱动为主，数量、创新双驱动的增长模式；从演进视角看，两种测度均表明，高级人力资本创新驱动是新常态阶段经济增长的核心动力，但相比旧常态阶段，基础人力资本数量驱动日趋弱化并呈异质性；进一步研究表明，产业结构、城镇化及开放程度均对创新驱动有不同程度激励效应，而城镇化是挤出数量驱动的主要推手。     

西北生态山岳旅游健康发展评估

生态山岳的旅游健康发展程度对山地旅游资源的可持续利用具有重要的影响。采用层次分析法和熵权法对2018年西北地区的华山、麦积山和天山天池的旅游生态健康进行了分析。结果表明:三大山岳景区旅游健康发展均处于健康状态;在资源健康方面,天山天池表现为非常健康,华山和麦积山处于健康等级;在环境健康方面,麦积山处于非常健康,华山和天山天池处于健康等级;在经济健康和旅游社会方面,三大景区均表现为健康。     

价值链视角下中心城市创新首位度评价与比较研究——以南京为例

基于创新价值链理论，构建创新首位度的理论内涵与评价体系，对南京和其它中心城市的创新首位度进行评价与比较。研究结果显示：①在总体首位度方面，南京位列省域中心城市排名下游，落后于西安、成都、武汉、郑州、广州等国家中心城市，自2008年以来一直落后于深圳、杭州、合肥、苏州等对标竞争城市且差距较大；②在分项首位度方面，南京的研发创新、产业创新首位度位列省域中心城市排名底端，导致南京在两个首位度矩阵中均处于C象限，创新价值链呈现严重的不均衡性；③省域中心城市普遍存在创新价值链的“漏斗效应”，即知识创新首位度＞研发创新首位度＞产业创新首位度，南京尤甚，说明技术创新过程存在大量沟壑；④拓展性研究表明，省域中心城市的创新首位度＞经济首位度＞人口首位度，但是近十年3个首位度的增速排序与上述情况相反，说明创新资源有着更强的集聚效应，应避免行政手段对创新资源的错配。最后，提出对策建议与研究展望。     

Does justice affect brand advocacy? Online brand advocacy behaviors as a response to hotel customers’ justice perceptions

This study focuses on customers' information-sharing behavior in the context of online brand advocacy behavior regarding hotel brands. We aim to explain hotel customers' online brand advocacy behavior through three-sided justice evaluations (i.e., justice for employees, justice for the self, and global belief in a just world), and their hotel satisfaction. Hypotheses are tested by using survey data acquired from 688 individuals on Amazon's Mechanical Turk (MTurk) through partial least squares structural equation modeling (PLS-SEM). The findings show that customers' perceptions of justice for the self positively affect their hotel satisfaction, perceptions of justice for employees and the global belief in a just world positively affect online brand advocacy behavior, and hotel satisfaction also positively affects online brand advocacy behavior. We expand current research efforts on online brand advocacy research and provide theoretical and managerial implications for the development of marketing and management research and practice.     

Optimal investment with vintage capital: Equilibrium distributions

The paper concerns the study of equilibrium points, or steady states, of economic systems arising in modeling optimal investment with vintage capital, namely, systems where all key variables (capitals, investments, prices) are indexed not only by time but also by age. Capital accumulation is hence described as a partial differential equation (briefly, PDE), and equilibrium points are in fact equilibrium distributions in the variable of ages. A general method is developed to compute and study equilibrium points of a wide range of infinite dimensional, infinite horizon, optimal control problems. We apply the method to optimal investment with vintage capital, for a variety of data, deriving existence and uniqueness of equilibrium distribution, as well as analytic formulas for optimal controls and trajectories in the long run. The examples suggest that the same method can be applied to other economic problems displaying heterogeneity. This shows how effective the theoretical machinery of optimal control in infinite dimension is in computing explicitly equilibrium distributions. To this extent, the results of this work constitute a first crucial step towards a thorough understanding of the behavior of optimal paths in the long run.     

Gold and US sectoral stocks during COVID-19 pandemic

In this study, we examine the hedging relationship between gold and US sectoral stocks during the COVID-19 pandemic. We employ a multivariate volatility framework, which accounts for salient features of the series in the computation of optimal weights and optimal hedging ratios. We find evidence of hedging effectiveness between gold and sectoral stocks, albeit with lower performance, during the pandemic. Overall, including gold in a stock portfolio could provide a valuable asset class that can improve the risk-adjusted performance of stocks during the COVID-19 pandemic. In addition, we find that the estimated portfolio weights and hedge ratios are sensitive to structural breaks, and ignoring the breaks can lead to overestimation of the hedging effectiveness of gold for US sectoral stocks. Since the analysis involves sectoral stock data, we believe that any investor in the US stock market that seeks to maximize risk-adjusted returns is likely to find the results useful when making investment decisions during the pandemic.     

Optimal lockdown in altruistic economies

The recent COVID-19 crisis has revealed the urgent need to study the impact of an infectious disease on market economies and provide adequate policy recommendations. The present paper studies the optimal lockdown policy in a dynamic general equilibrium model where households are altruistic and they care about the share of infected individuals. The spread of the disease is modeled here using SIS dynamics, which implies that recovery does not confer immunity. To avoid non-convexity issues, we assume that the lockdown is constant in time. This strong assumption allows us to provide analytical solutions. We find that the zero lockdown is efficient when agents do not care about the share of infected, while a positive lockdown is recommended beyond a critical level of altruism. Moreover, the lockdown intensity increases in the degree of altruism. Our robust analytical results are illustrated by numerical simulations, which show, in particular, that the optimal lockdown never trespasses 60% and that eradication is not always optimal.