Impact of state-dependent oil price on US stock returns using local projections

In this paper, we investigate the impact of oil prices on both aggregate and industry US real stock returns over the period 1973–2017. The empirical analysis contributes to the related literature introducing a state-dependent oil price (high and low) and the local projections approach. Our main finding is that, depending on the nature of the shock and industry, the negative effects of oil price shocks become exacerbated -and the positive effects get moderated- if oil prices are already high.     

“Sensing” the destination: Development of the destination sensescape index

Despite the increasing academic interest in the sensory dimension of the tourist experience, the quantitative empirical research in the field is limited by a lack of measurement instruments for evaluating the sensory stimuli perceived by tourists during a destination visit. The study addresses this gap by developing a composite index to assess the sensory destination panorama, termed as “destination sensescape”. The construct is conceptualised as a formative multidimensional variable with 5 dimensions (visualscape, smellscape, tastescape, soundscape, and hapticscape). The psychometric validity and reliability of the 17 items integrating the formative index were established by a rigorous multi-step procedure based on three empirical studies. The instrument was tested with data collected from visitors of a Mediterranean urban destination. The operationalisation of the destination sensescape construct not only paves the way for future quantitative sensory studies, but also yields a useful tool for Destination Marketing Organisations (DMOs).     

Time Inhomogeneous Multiple Volatility Modeling

Price variations at speculative markets exhibit positive autocorrelationand cross correlation. Due to large parameter spaces necessaryfor joint modeling of variances and covariances, multivariateparametric volatility models become easily intractable in practice.We propose an adaptive procedure that identifies periods ofsecond-order homogeneity for each moment in time. To overcomethe high dimensionality of the problem we transform the multivariateseries into a set of univariate processes. We discuss thoroughlythe implementation of the adaptive technique. Theoretical andMonte Carlo results are given. We provide two applications ofthe new method. For a bivariate exchange rate series we comparethe multivariate GARCH approach with our method and find thelatter to be more in line with the underlying assumption ofindependently distributed innovations. Analyzing a 23-dimensionalvector of asset returns we underscore the case for adaptivemodeling in high-dimensional systems.     

基于农业产业化的河南省区域差距研究

文章通过泰尔指数发现从1990年到2005年，河南省区域经济的差距处于一个快速扩大的阶段。通过定量分析发现，河南省区域经济发展水平和发展速度与农业生产具有一定的负相关性，通过定性和定量分析发现，农业产业化对区域差距缩小具有一定的作用，但不起主要作用，一是由于目前河南省农业产业化水平相对还是比较低，农业收入还仅仅停留于农产品的买卖价格，工资性收入所占比重过低，二是农业产业化龙头企业带动能力还是比较弱，带动面小，限制了农区经济的发展水平和速度，最后提出了几点建议。     

公路建设中路线方案多属性决策方法的研究

路线方案的比选是公路建设项目前期的一项重要工作,直接影响着项目建设能否达到预期的目标以及项目投入运营中的使用效果,如行车的安全性、舒适性、快捷性等。进行路线方案比选时,要考虑路线的线形合理性、对周边地区环境影响,项目经济效益、施工难易等多种因素对影响。本文在分析路线方案比选复杂性的基础上,对多种决策方法进行对比,选择TOPSIS法作为路线方案的决策方法。算例的结果表明该方法应用的可行性和有效性。     

满意度测评结果分类分析

满意指数已经成为许多国家衡量经济产出质量的重要指标，为宏观经济管理提供了有效的决策参考依据，但是，如何进一步开发利用满意指数调查信息，加大对微观层面的经济组织经营管理活动的指导作用，仍然是满意度研究的重要课题。本文利用真实的用户满意指数测评调查数据，对营销管理中用户类型划分问题进行了分析，结果表明，用户满意指数测评调查数据，可以准确地将用户划分为逃离型、趋利型、受制型和忠诚型。     

区域主导产业发展中的地方政府行为研究

地方政府的活动范围应根据市场发挥作用的程度、社会自治的能力加以界定,更好地发挥市场的作用,优化市场经济运行的环境应是政府行为的着眼点。从地方政府官员的意识、赶超愿望、获得新闻界的关注程度等角度探讨地方政府的行为诱导机制,阐明地方政府财政能力、协调能力等方面是导致区域主导产业畸型增长的内因,提出改变地方政府行政模式,是实现地方政府目标与区域主导产业可持续发展的关键所在。     

关于企业生命力评估的指标体系设计

阐述了评估企业生命力的意义，提出了评估企业生命力的原则，并设计了企业生命力评估的指标体系。     

Awareness of Distributed Denial of Service Attacks' Dangers: Role of Internet Pricing Mechanisms

Denial of Service (DoS) attacks consist of overwhelming a server, a network or a Web site in order to paralyze its normal activity. The additional parameter in Distributed Denial of Service (DdoS) attacks is the distributing strategy. It means that DDoS attacks do not come from a single computer but stem from all accessible channels and servers. Consequences are multiple, ranging from system errors, temporary inability to access the Web site for normal users to challenging the actual reliability of the Internet. Despite this, Internet users show carelessness. The explanation lies in the specificities of DDoS attacks. We explore possibilities to raise users' awareness about the actual amplitude of problems caused by DDoS attacks. We suggest a careful examination of Internet pricing mechanisms and switching from flat to usage-constraining pricing schemes.