卫星数字调制混合信号的自动识别

针对卫星数字混合信号的特征,提出了在载波速率和符号速率初判基础上的自动识别方案.该方案利用数字混合信号与常用数字调制信号在信号频谱以及星座点的差异提取特征参数进行自动识别.仿真结果表明,该方案具备实用性和可行性.     

团队认知特性、决策过程与决策绩效关系实证研究

团队决策作为组织决策的重要形式,一直是学术界关注的焦点.文章探讨团队决策的认知特征、决策过程和决策绩效的关系,通过时中国民营企业的调查,得到如下结论:决策信息的分布特征对决策过程中决策者间的交互作用有积极的显著影响,对决策任务绩效和决策关系绩效没有显著影响;决策团队的认知能力对决策过程中决策者间的交互作用、决策任务绩效和决策关系绩效有积极的显著影响;决策过程中决策者间的交互作用对决策任务绩效和决策关系绩效有积极的显著影响.     

中国石油企业跨国经营配套政策分析

石油企业跨国经营步伐正在加快，但我国石油企业跨国经营政策存在着审批繁琐、政治保险服务缺失、信息不畅等问题。国家必须进一步制定投资导向政策，完善跨国经营法律体系和联合投资机制，建立财税支持政策和海外投资金融保险体制，强化信息服务和外交支持。     

浅论我国世界银行贷款项目审计的主要特点

按照国际惯例,世界银行对任何一个借款国的借款必须经世界银行认可的独立审计师进行审计。在我国,对世界银行贷款项目的审计由政府审计部门承担,这种审计较之于其他政府审计有许多鲜明的特点。通过世界银行贷款项目审计和其他政府审计的比较来阐明世界银行贷款项目的审计。     

Financial Matching, Asymmetric Information and Entrepreneurial Risk Taking

We study financial matching in credit markets when entrepreneurs have private information about their success potential. Entrepreneurs can search for financing for either a “risky” or a “safe” investment and only the risky project is sensitive to entrepreneurs' intrinsic “types”. There is excess risk taking in the sense that entrepreneurs with inefficiently low success probabilities choose the risky investment. However, steady states featuring greater market liquidity are associated with higher efficiency. As market liquidity also reflects the intensity of competition among financiers, earlier results which indicate a negative relationship between competition and allocative efficiency do not hold in our setup.     

对旅游学学科问题的探讨

对旅游学的研究对象，学科性质和学科体系进行了探讨，综合国内外学术界的研究、成果提出了自己的观点。     

历史语境中的文化人与旅游

文化人在我国旅游史上是一个重要的旅游群体，他们有着悠久的旅游传统、独特的景观审美偏好和旅游风格，并创造了大量优秀的旅游文化产品，给景观名胜增添了深厚的文化意蕴。     

大学英语多媒体语料库的建设与开发

首先通过几项真实、权威的调查数据揭示出,沿用已久的传统式英语词汇教学法给中国英语学习者带来的“不地道”英语学习结果;根据现代教育理念和语料库应用于外语教学的理论基础,本文针对中国的大学英语词汇教学法提出了,外语教师自己建设实适用型多媒体语料库,并应用于外语教学课堂中的倡议。     

山西沁县谷子综合天气指数保险研究

农作物受灾机理十分复杂,在生长过程中往往受到多重灾害的共同影响,本文以山西沁县谷子为例展开综合天气指数保险研究。首先,构建干旱指数PI-、P2-、P3-、P4-、暴雨指数P3+共5个天气指数。然后,引入数据优化匹配方法,通过逐步调整产量去趋势步长、天气指数异常阈值和产量损失阈值,寻找最大拟合优度R2值来达到最优匹配,以实现定量评估天气指数对作物产量影响的目的。在优化匹配关系模型的基础上,得到山西沁县谷子综合天气指数保险产品的保险费率、天气指数触发值和赔付标准。本文旨在为开展综合性的天气指数保险提供技术支撑,也为转移与管理气象灾害风险提供实际应用方案。     

Unemployment insurance,recalls, and experience rating

In the United States, almost half of the workers who separated from their jobs ended their unemployment spell by returning to work for their last employer. In this study, we explore the impact of the experience rating (ER) system on recalls. In states using reserve ratio ER, and for a firm that is not at the minimum or the maximum tax rate, each layoff of a worker receiving unemployment benefits increases the future tax rate while each recall reduces it. This provides a natural incentive for firms to recall former workers receiving unemployment benefits. We use the Quarterly Workforce Indicators dataset, which provides information on recalls at the county level, and exploit the differences in tax schedule across states to estimate the impact of ER on recalls. We show that the recall share from hires increases with the degree of ER. We then develop a search and matching model with different unemployment insurance (UI) status, endogenous UI take-up, endogenous separations, recalls, and new hires. We illustrate that this model reproduces the effects of ER on recalls admirably. We show that an increase in the intensity of ER translates into a higher recall share at the steady state, especially for unemployed workers collecting unemployment benefits. We then use this model to analyze the labor market dynamics under alternative financing schemes. We show that ER has stabilization virtues—the higher the degree of ER, the less volatile the unemployment rate.