工程项目自然风险管理研究

中国是世界上自然灾害最严重的国家之一,灾害的多发性决定了其对工程建设项目具有不可忽视的影响。并且,最近几年我国各种自然灾害、极端气候的发生更加频繁,范围更加广泛,影响更加严重,所以在进行项目的建设时有必要加强对自然风险的管理。本文,首先对自然风险和风险管理进行了简单的介绍,然后从项目的质量、成本、工期、安全的角度浅谈了自然风险对项目的影响;接着从风险管理的角度,用定量和定性的方法对风险的识别和估计、风险评价、风险应对、风险的决策等方面对自然风险的管理进行分析和说明,最后得出一些结论和看法。     

变频调速技术及其在升船机上的应用

本文在介绍电动机变频调速技术及原理的同时,重点介绍了该技术重要在升船机系统的应用。     

中美商业秘密保护比较研究

对中美商业秘密的法律渊源、构成、侵权的认定与救济进行了比较,认为美国的商业秘密立法体系完备,法律保护实践成熟且水平很高。中国应尽早制定专门的商业秘密法,在法律中明确规定"商业秘密权",赋予商业秘密财产权地位,将分散在众多法律部门的商业秘密法律规范统一起来,借鉴、吸收反映市场经济共同规律的立法技术、法律规范,尤其是美国商业秘密立法中的先进之处。     

Estimating first-price auctions with an unknown number of bidders: A misclassification approach

In this paper, we consider nonparametric identification and estimation of first-price auction models when N^∗$N^{\ast }$, the number of potential bidders, is unknown to the researcher, but observed by bidders. Exploiting results from the recent econometric literature on models with misclassification error, we develop a nonparametric procedure for recovering the distribution of bids conditional on the unknown N^∗$N^{\ast }$. Monte Carlo results illustrate that the procedure works well in practice. We present illustrative evidence from a dataset of procurement auctions, which shows that accounting for the unobservability of N^∗$N^{\ast }$ can lead to economically meaningful differences in the estimates of bidders’ profit margins.     

交通子区的状态判别方法研究

城市路网交通状态分析是智能交通系统中动态诱导和交通控制的基础,也是出行者信息服务系统的重要内容。随着新一代智能化交通控制系统的出现,对于单个交叉口或单条路段交通状态的研究已不能满足需要,因此本文提出交通子区状态判别方法的研究。     

Evaluating the Factors Influencing the Number of Visits to Farmers’ Markets

The primary objective of this article was to determine key factors affecting the frequency of consumer visits to farmers’ markets. Data were obtained from in-person surveys administered in two farmers’ markets locations in Texas, and used to determine consumer factors, market factors, and socio-demographic characteristics of shoppers influencing frequency of visits. The results of the model showed that travel distance, number of adults in the household, market promotional activities such as entertainment and education, food events, and, to a lesser degree, some demographic variables were all determinants of frequency of visits to farmers’ markets. The negative effect of the distance to the market highlights the importance of farmers’ market location and influences the demographic profile of buyers as most visitors tend to shop in nearby markets. Thus, results also suggest that demographics characteristics are a weak predictor of farmers’ markets interest.     

Constructive identification of the mixed proportional hazards model

We give a new proof of the identifiably of the MPH model. This proof is constructive: it is a recipe for constructing the triple—regression function, base-line hazard, and distribution of the individual effect—from the observed cumulative distribution functions.
We then prove that the triples do not depend continuously on the observed cumulative distribution functions. Uniformly consistent estimators do not exist.
Finally we show that the MPH model is even identifiable from two-sided censored observations. This proof is constructive, too.     

The four faces of the Hispanic consumer: An acculturation-based segmentation

This article develops and tests a segmentation scheme for the U.S. Hispanic market based on the extent and nature of acculturation. Acculturation is conceptualized as driven by language preferences and two dimensions of cultural identification, Hispanic and American. Structural equation modeling develops and assesses the proposed scales, and a latent class clustering procedure (latent discriminant analysis) tests propositions on a sample of 403 U.S. Hispanics. Consistent with theory, four clusters of U.S. Hispanics emerge: retainers, biculturals, assimilators, and non-identifiers that vary according to language preference and cultural identification.     

Corporate social responsibility and employee’s desire: a social influence perspective

Corporate social responsibility (CSR) is an increasingly important topic in management, especially in organizational behavior field across the globe; however, this concept is still in its infancy in Pakistan. In this study, we examined the effect of employees’ perceptions about CSR on their Desire to have a Significant Impact through Work (DSIW). We suggested the serial mediation of organizational identification and organizational pride in this relationship. The time-lag data of middle managers were collected from a well-known Pakistani firm that is actively engaged in CSR. The data consist of 187 observations and were analyzed using structural equation modeling in AMOS software. The results show that CSR positively affects employees’ identification that in turn make employees proud of their organizational membership and finally pride leads to employees’ DSIW. The study contributes in CSR and organizational behavior literature and provides managerial implication to enhance the positive psychological state of employees.     

Realistic Statistical Modelling of Financial Data

The aim of this paper is to present some of the stylized features of financial data which have received a lot of attention both from practitioners and those with more theoretical backgrounds. Some of the models resulting from these efforts are reviewed and discussed. To facilitate the discussion two data sets are used: one of these contains all US trades in IBM stocks in 1995 at NYSE.