Oracle数据库Data Guard数据安全技术应用

文章根据四川眉山车辆有限公司对IT应用系统数据安全保护的技术研究，阐述了Oracle数据库数据安全保护的一种方法，并结合实例对应用中的技术难点进行了详细分析。     

基于Oracle Data Guard的容灾策略与实现

本文论述了数据库容灾备份的概念以及Data Guard概述,从Da-ta Guard保护模式、工作原理等方面分析了Oracle Data Guard容灾技术的可用性.讨论了如何利用Data Guard技术来实现数据容灾备份,并给出了详细的实现方法.     

中国城镇居民消费函数的变系数Panel Data模型

本文研究了Panel Data模型的正确设定与识别问题，并利用变系数和变截距Panel Data模型建立了我国城镇居民消费函数，根据模型分析了收入差异对城镇居民消费结构变化的影响。     

创业板上市公司资本结构影响因素Panel Data模型分析

资本结构是公司财务与融资决策的关键内容。创业板市场作为多层次的资本市场体系的一员,对为中小企业提供更方便的融资渠道及为风险资本营造一个正常的退出机制起着重要的作用。文章选取创业板市场36家上市公司2009～2011年面板数据,对创业板上市公司资本结构影响因素进行了Panel Data模型分析。研究结果表明,我国创业板企业总体负债比率较低,资本结构与企业规模呈正相关关系,与营运能力及偿债能力呈负相关关系,与盈利能力、成长能力无显著相关关系。文章研究的目的在于为我国创业板上市公司的健康发展提供数据支持。     

Data Matrix二维条码在奥运会门票系统中的应用研究

运用Data Matrix二维条码的特点重新设计奥运体育场馆电子门票系统,并构建了一个完整的奥运电子门票Data Matrix二维条码自动识别系统。对Data Matrix二维条码系统进行详细地规划,并通过实际条码生成的例子,证明其可行性和可实践性。本文突破了Data Matrix二维条码本身的适用领域的限制,有一定新意和实践价值。     

适于在金属表面上打刻的Data Matrix二维条码

在美国及欧洲，二维条码DataMatrix开始广泛用于汽车制造、飞机制造、武器制造及一切机械产品上。Data Matrix二维条码Data Matrix是一种矩阵式二维条码。与一维条码相比，它不单单是识别符号，而且是一个保密性强、容量大、可靠性高的数据文件。它的特性如下：可编码的字符集：全部256个ASCII字符；数据容量：最大可以达到2335个数字字母型数据或3116个数字型数据；纠错功能：ECC200或ECC000-140二种纠错算法，使Data Matrix二维条码的误读率达到10-8。条码表面受到30％的污染或损伤，照样可以100％地识读出来；符号尺寸：可以…     

Bankruptcy Prediction for Chinese Firms： Comparing Data Mining Tools With Logit Analysis

China＇s capital market is different from that of the US in economic, political, and socio-cultural ways. China＇s dynamic and fast growing economy for the past decade entails some structural changes and weaknesses and as a consequence, there are some business failures. We propose bankruptcy prediction models using Chinese firm data via several data mining tools and traditional logit analysis. We used Chinese firm data one year prior to bankruptcy and our results suggest that the financial variables developed by Altman （1968） and Ohlson （1980） perform reasonably well in determining business failures of Chinese firms, but the overall prediction rate is low compared with those of the US or other countries＇ studies. The reasons for this low prediction rate may be structural weaknesses resulting from China＇s fast growth and immature capital market.     

基于Panel Data模型的我国工业行业FDI技术溢出效应分析

本文采用面板数据,利用Panel Data模型,对2000—2006年FDI对中国工业部门技术溢出效应进行了区域分析,指出21世纪初,中国工业部门引进FDI在总体上对内资部门产出增长起到了积极的促进作用,FDI的技术溢出效应为正,但这一技术溢出效应的作用并不太大且在地域上不均衡。分东、中、西部的研究表明,中国西部总体上经济发展水平还未跨过FDI引起积极作用的门槛,而东、中部内资工业部门技术水平的提升对当前FDI的正向技术溢出效应相对较大。     

Panel Data模型设定的新思路--固定效应与随机效应的统一

经典PanelData模型研究中一直存在着固定效应与随机效应的判断与争论问题，这种模型设定形式的不准确常常导致模型参数估计的无效性以及一维（one-way）与二维（two-way）误差成分模型的混淆。在此，本文提出建立一种新的同时囊括随机与固定两种效应的误差成分一般模型，其中一维（one-way）情况的模型仅为二维（two-way）模型的特例模型，单一的随机效应或固定效应模型亦为其特殊情况的一种。在这种一般误差成分模型的基础上，我们力图将有关PanelData模型的讨论纳入到一个更加一般和统一的分析构架中予以研究。     

Data revisions to German national accounts: Are initial releases good nowcasts?

Data revisions to national accounts pose a serious challenge to policy decision making. Well-behaved revisions should be unbiased, small, and unpredictable. This article shows that revisions to German national accounts are biased, large, and predictable. Moreover, with use of filtering techniques designed to process data subject to revisions, the real-time forecasting performance of initial releases can be increased by up to 23%. For total real GDP growth, however, the initial release is an optimal forecast. Yet, given the results for disaggregated variables, the averaging out of biases and inefficiencies at the aggregate GDP level appears to be good luck rather than good forecasting.     

机构投资者持股的绩效分析:来自日本上市公司Panel Data模型的证据

日本机构投资者的发展历程与我国情况基本相同,然而国内关于机构投资者的研究以欧美居多.本文利用Panel Data模型.实证检验了21世纪初日本800多家公司机构持股对公司绩效的影响.研究发现,机构持股对公司绩效有明显的正面影响,对大型、高收益率和高成长性企业的正面影响尤为显著,国内机构股东对公司绩效的积极影响超过了国外机构股东.本文最后提出培育我国机构投资者原则方面的政策建议.     

What Makes a Blockbuster Video Game? An Empirical Analysis of US Sales Data

This study uses a unique data set of individual video game titles to estimate the effect of an exhaustive set of observable characteristics on the likelihood of a video game becoming a blockbuster title. Due to the long‐tailed distribution of the sales data, both ordinary least squares and logistic regression models are estimated. The results consistently show that blockbuster video games are more likely to be released by one of the major publishers for popular hardware platforms. Results also show that games of higher quality are significantly more likely to sell a greater number of units than those of a lower quality. Copyright © 2013 John Wiley & Sons, Ltd.     

XML文档的显示与操作——Data Binding与DOM的比较与结合使用

一、原理比较 （1）在Data Binding中,把XML文档链接在HTML PAGE中,然后把HTML元素绑定到XML元素上来显示该元素。（2）DOM包含一系列的编程对象,它们代表了不同的XML元素。通过使用这些对象的属性和方法来显示XML文档。Data Binding适用于结构对称、像数据库一样包含一系列记录和字段的XML文档。DOM可以显示任何类型的XML文档,并且我们使用它可以操作任何XML元素。因此,DOM应用更广,但数据量大,访问较复杂。     

XML文档的显示与操作——Data Binding与DOM的比较与结合使用

<正>一、原理比较(1)在Data Binding中,把XML文档链接在HTML PAGE中,然后把HTML元素绑定到XML元素上来显示该元素。(2)DOM包含一系列的编程对象,它们代表了不同的XML元素。通过使用这些对象的属性和方法来显示XML文档。Data Binding适用于结构对称、像数据库一样包含一系列记录和字段的XML文档。DOM可以显示任何类型的XML文档,并且我们使用它可以操作任何XML元素。因此,DOM应用更广,但数据量大,访问较复杂。     

A Dynamic Panel Data Approach to the Forecasting of the GDP of German Länder

Abstract

In this paper, we make multi-step forecasts of the annual growth rates of the real GDP for each of the 16 German Länder simultaneously. We apply dynamic panel models accounting for spatial dependence between regional GDP. We find that both pooling and accounting for spatial effects help to improve the forecast performance substantially. We demonstrate that the effect of accounting for spatial dependence is more pronounced for longer forecasting horizons (the forecast accuracy gain is about 9% for a 1-year horizon and exceeds 40% for a 5-year horizon). We recommend incorporating a spatial dependence structure into regional forecasting models, especially when long-term forecasts are made.     

公司治理因素对我国上市公司资本结构选择的影响——基于Panel Data模型的实证分析

本文采用Panel Dala模型分内外两条路径检验了公司治理因素对资本结构选择的影响。研究结果表明,股权集中度、国家股比例、流通股比例、董事会规模、产品要素市场竞争程度、创新战略指标和私人收益指标与资本结构水平负相关;独立董事比例、董事会会议频率和股权制衡指数与资本结构水平正相关;法人股比例、董事长是否兼任总经理与资本结构水平关系不显著。     

我国东、中、西部外商直接投资(FDI)区位差异因素的Panel Data分析

目前我国已成为全球FDI最具吸引力的国家，但FDI(Foreign Direct Investment)在我国东部、中部和西部的分布极不均衡。本文采用Panel Data分析方法，选取1986～2003年全国各省份的历史统计数据，分别建立各时期东部、中部及西部地区的。Panel Data模型，对相应可能影响FDI区位差异的影响因素进行实证分析，旨在为我国决策各地区引进FDI提供参考。     

Do We Still Need Cities? Evidence on Rates of Innovation from Count Data Models of Metropolitan Statistical Area Patents

Evidence of the importance of urban agglomeration and the offsetting effects of congestion are provided in a number of studies of productivity and wages. Little attention has been paid to this evidence in the economic growth literature, where the recent focus is on technological change. We extend the idea of agglomeration and congestion effects to the area of innovation by empirically looking for a nonlinear link between population density and patent activity. A panel data set consisting of observations on 302 USA metropolitan statistical areas (MSAs) over a 10-year period from 1990 to 1999 is utilized. Following the patent and R&D literature, models that account for the discreet nature of the dependent variable are employed. Strong evidence is found that agglomeration and congestion are important in explaining the vast differences in patent rates across US cities. The most important reason cities continue to exist, given the dramatic drop in transportation costs for physical goods over the last century, is probably related to the forces of agglomeration as they apply to knowledge spillovers. Therefore, the empirical investigation proposed here is an important part of understanding the viability of urban areas in the future.