官方统计数据修订的国际经验

随着社会各界对统计数据越来越关注,官方统计数据的修订问题越来越重要。科学修订统计数据对于确保统计数据质量,维护统计数据信誉十分重要。本文深入分析了国外官方统计数据修订的主要原因,阐述了有关国际组织和国家统计数据修订的种类、范围、条件和程序,详细介绍了美国和澳大利亚官方统计数据修订的具体做法和经验,并得出了几点有益的启示,以期对研究制定我国统计数据修订制度提供借鉴。     

十五”期间中国各地区农村资金配置效率比较

文章运用数据包络分析法,实证了我国“十五”期间农村资金配置效率及影响因素。结果发现：“十五”期间我国农村资金配置效率呈现平稳态势,但各地区存在明显差异;西部地区农村资金配置效率显著低于东部和中部地区,中西部地区农村资金配置的规模效益则明显低于东部地区。依此状况,中西部地区、尤其是西部地区农村发展将面临资金投入不足与配置效率低下的双重约束。对此,文章从增加农村资金供给和提高农村资金配置效率双重层面针对性地提出了政策建议,以期中西部地区新农村建设可资借鉴。     

中国城乡价格水平差异研究—基于1995~2005年省级面板数据

中国依然处于社会主义初级阶段,必须不断提高国内经济的市场化程度。但是,二元经济特征是中国经济的特殊国情。在考虑二元经济特征的情况下,应用一价定律理论,以居民消费价格指数和商品销售价格指数作为衡量指标,分别考察了城市部门和农村部门的市场化程度。通过面板数单位根检验,城市部门和农村部门的样本数据均具有良好的稳定性,说明一价定律在国内市场成立。通过标准方差模型和Jarque-Bera模型检验,验证了城市部门较农村部门的市场化程度高。分别比较居民消费价格指数和商品销售价格指数的各种检验结果,充分验证商品销售价格指数增强了一价定律成立,说明增强交易商品的流动性,降低交易成本有利于一价定律的成立,有利于提高国内经济的市场化程度。     

我国商业银行效率评价及实证分析

内容提要：本文运用数据包络法对我国十二家主要商业银行04—06年的效率状况进行了定量考察,并在此基础上探讨了我国国有商业银行效率低下的原因,提出了提高我国银行业效率的途径。     

Competitive and Cooperative Positioning in Supply Chain Logistics Relationships*

Cooperative logistics relationships require the sharing of information, which must be enabled by the integration of disparate information systems across partners. In this article, we theorize business‐to‐business logistics relationships should be managed using cooperative and competitive postures. Based on data from 91 dyadic relationships using interorganizational information technology (IT), we find that performance gains accrue when parties share strategic information and customize IT; mutual trust enables IT customization and strategic‐information flows and equitable relationship‐specific investments positively impact IT customization, mutual trust, and performance. Among other scholarly and practical implications discussed, partners should compete on resources for IT customization and cooperate to share strategic information. Managers tend to think of relationships with firms as polar opposites and view them as entirely cooperative or entirely competitive. Our results support active balancing and understanding of both competitive and cooperative stances. Such an approach enables conditions for participation symmetry that yields greater performance gains.     

数据仓库在决策支持系统中的应用

本文分析了在决策支持系统中引入数据仓库的必要性,论述了决策支持系统中数据仓库的运作流程,并强调了数据分析与决策的关键技术OLAP技术和数据挖掘技术.     

滑动窗口数据传输的安全问题

对滑动窗口数据传输所存的安全产问题进行了分析,并对如何解决该安全问题进行了讨论。     

Designing and integrating composite networks for monitoring multivariate gaussian pollution fields

Networks of ambient monitoring stations are used to monitor environmental pollution fields such as those for acid rain and air pollution. Such stations provide regular measurements of pollutant concentrations. The networks are established for a variety of purposes at various times so often several stations measuring different subsets of pollutant concentrations can be found in compact geographical regions. The problem of statistically combining these disparate information sources into a single 'network' then arises. Capitalizing on the efficiencies so achieved can then lead to the secondary problem of extending this network. The subject of this paper is a set of 31 air pollution monitoring stations in southern Ontario. Each of these regularly measures a particular subset of ionic sulphate, sulphite, nitrite and ozone. However, this subset varies from station to station. For example only two stations measure all four. Some measure just one. We describe a Bayesian framework for integrating the measurements of these stations to yield a spatial predictive distribution for unmonitored sites and unmeasured concentrations at existing stations. Furthermore we show how this network can be extended by using an entropy maximization criterion. The methods assume that the multivariate response field being measured has a joint Gaussian distribution conditional on its mean and covariance function. A conjugate prior is used for these parameters, some of its hyperparameters being fitted empirically.     

Providing Spatial Data for Secondary Analysis: Issues and Current Practices Relating to Confidentiality

Spatially explicit data pose a series of opportunities and challenges for all the actors involved in providing data for long-term preservation and secondary analysis—the data producer, the data archive, and the data user. We report on opportunities and challenges for each of the three players, and then turn to a summary of current thinking about how best to prepare, archive, disseminate, and make use of social science data that have spatially explicit identification. The core issue that runs through the paper is the risk of the disclosure of the identity of respondents. If we know where they live, where they work, or where they own property, it is possible to find out who they are. Those involved in collecting, archiving, and using data need to be aware of the risks of disclosure and become familiar with best practices to avoid disclosures that will be harmful to respondents.

证券投资意识调查分析 —基于数据挖掘的视角

 证券公司对于客户的挖掘和分类有利于挖掘潜在客户和做出适当的营销决策。本文将决策树、逻辑斯蒂回归和贝氏机率分类算法用于判断被访者是否购买股票,以此挖掘潜在客户,用K-means聚类法将股票购买者划分不同的类型,并建议采取不同的服务和营销方式,提高客户的忠诚度。