商业银行内部风险管理与外部风险监管的协调

商业银行的内部风险管理与外部监管本质统一于风险的管理与控制。但由于内部驱动力的差异、激励与约束相容的困境以及监管的成本问题,两者又存在矛盾与冲突,因此,要想协调好外部风险监管与内部风险管理的关系,降低监管成本,提高监管绩效,还必须充分发挥银行内部风险管理的前提作用,提高其在风险资产确认中的能动性,监管部门必须为银行的风险管理提供基础性的制度保障,在监管内容、方式与手段方面加强调整,培育起激励与约束相容的监管体系。     

外资并购国有企业问题的探讨

伴随国际并购的浪潮,越来越多的国际跨国公司选择以并购的方式进入中国市场。针对外资并购国有企业在宏观和微观上可能产生的垄断及其他不利影响,提出完善和健全相关法律、制度,以防止并购国有企业中形成的垄断、并购国有上市公司中形成的垄断,以及并购活动危害国家安全等情况的发生。     

基于传播算子的DS-SS信号扩频波形估计

扩频信号波形估计的本质是信号子空间估计。针对直接序列扩频（Direct Sequence Spread Spectrum,DS-SS）信号的扩频波形估计问题,提出了一种基于传播算子的估计算法。针对现有算法估计信号子空间计算量较大的不足,所提算法利用传播算子估计信号子空间。理论分析了所提算法与现有算法的计算量和性能,并进行了仿真实验。仿真结果表明所提算法有效,且计算量远小于现有算法。     

一种M-ary扩频信号的盲同步方法

针对通信侦察领域M-ary扩频信号的盲同步问题,根据M-ary扩频信号的结构特点及扩频码集元素间的相关特性,提出了一种扩频码长度和失步时间联合估计方法。该方法能够同时估计出M-ary扩频信号的扩频码长度及失步时间,且不受扩频码集类型的限制。仿真实验表明,该算法能在较低的信噪比条件下对三种不同码集的扩频信号进行估计,且算法的性能随着所使用数据的增多而提高。     

一种基于地理信息系统的异构网络多目标算法

地理信息系统（Geographic Information System,GIS）和多目标算法为异构网络基站部署问题带来新的突破。ArcGIS系列是GIS专业化的管理软件,采用ArcGIS软件对包含学校、医院等场景的中国某市密集城区进行建模分析,并且提出基于目标权重因子的多目标离散粒子群算法（Multi-objective Discrete Particle Swarm Optimization algorithm based on Target Weight Factor,MDPSO/TWF）,基于多个目标函数整体最优研究异构网络基站部署问题。仿真结果表明,所提的MDPSO/TWF算法具有可行性和先进性,可以综合考虑网络负载和网络能效多个优化目标,将业务需求与实际基站选址相结合,在满足业务需求的基础上尽可能达到节能的目的。     

越南驻华大使邓明魁、越南工贸部副部长陈国庆访渝:全面推动中国(重庆)—越南经贸与物流合作

正2018年5月7日至9日,越南驻华大使邓明魁、越南工贸部副部长陈国庆一行50人访问重庆,深入了解国际陆海贸易新通道,与重庆签订了关于物流贸易合作的多项协议,全面推动中国(重庆)—越南经贸与物流合作。围绕国际陆海贸易新通道,访问团在西部物流园参观了重庆铁路集装箱中心站、重庆铁路保税物流中心智能公共监管仓,并重点     

Determination of derived importance of a tourism destination: A comparison of indirect methods

Two types of attribute importance, stated and derived, have been studied in marketing and tourism studies using Importance-Performance Analysis (IPA). Derived importance is thought to have an advantage over stated importance in reducing survey fatigue and social desirability biases, and thus is more predictable to an outcome variable. Derived importance is also used in a Relevance-Determinance Analysis to determine higher-impact core attributes or in an Importance Grid Analysis to explore the asymmetric relationship between attributes and overall satisfaction. Since derived importance is usually estimated through statistical methods, it is necessary to determine which method is the most appropriate. However, few studies have examined the appropriateness of indirect methods. To fill this research void, this paper judges the appropriateness of three statistical methods (i.e. multiple regression, partial correlation, and simple regression) based on data collected from Savannah, GA, using a new approach by which results of derived importance were compared against diagnostic attributes in the “keep up the good work” quadrant of IPA. Diagnostic attributes are attributes with higher stated importance and higher predictability of an outcome variable. Results show that urban forests and cultural heritage are such attributes, and simple regression is the best to infer attribute importance.     

Neither an Authentic Product nor a Counterfeit: The Growing Popularity of Shanzhai Products in Global Markets

Counterfeits have been a longstanding concern to global brand manufactures. However, recently, a new product category that partly imitates and partly innovates under the term shanzhai has entered into market. Shanzhai products mimic original leading brands through visual or functional similarities and may also provide additional features. Given this new copycat phenomenon, our study for the first time conceptually distinguishes shanzhai products from counterfeits, theoretically compares the values of consumers choosing shanzhai products versus counterfeits, and empirically tests such differences in one integrative model. Specifically, shanzhai buyers value product functional benefits more than counterfeit buyers, while counterfeit buyers value status consumption, yet experience less self‐clarity than shanzhai buyers. Our findings offer important implications for imitative innovation literature as well as for practitioners.     

基于大数据企业配售电监控管理系统

在以保证配电网安全运行为基础上,本文分析了用电管理运行行为,面向大数据企业建立一套配售电监控管理系统,该系统具备数据记录、运行报表、数据分析、决策支撑等功能.本文主要介绍该监控管理系统的软件结构,运用分层化和模块化思想,设计好该系统在数据采集、状态诊断和分析运行方面的问题.     

经济政策不确定性如何影响企业出口决策？——基于出口频率的视角

出口频率作为出口决策的重要一环,是企业出口扩张的新边际,也是出口变化的“晴雨表”。本文在随机存货模型的基础上,考察了经济政策不确定性对企业出口频率的影响及其传导渠道,并采用2000-2006年工业企业数据库与海关数据库的匹配数据进行实证检验,结果发现:目的国经济政策不确定性增加会显著降低企业出口频率,且这一影响存在部分惯性效应;经济政策不确定性通过贸易成本、存货成本和市场需求波动共同影响企业出口频率的中介效应十分显著,其中贸易成本是最重要的传导渠道,占比达到19%以上;如果进一步考虑目的国、产品和企业异质性,会发现出口目的国经济发展水平较高、出口产品为中间品和消费品的企业,其出口频率受经济政策不确定性的影响较小。因此,政府和企业应高度关注出口频率的变化趋势,合理应对经济政策不确定性对出口决策的外部冲击。