基于GIS的工商管理信息系统的设计与实现

由于我国的工商管理涉及的地域较为广泛,而且业务流程极其复杂繁琐,尤其是基层工商管理部门,面对的营业户口不仅数量巨大,而且区域也十分广泛。所以,这就对我国的工商管理信息系统提出了较高的要求,需要为工商管理部门提供完善而科学的管理。因此,可以通过GIS来进行电子信息管理。文中就如何设计出基于GIS的工商管理信息系统进行了讨论。     

国土资源数据整合方案设计及其实现研究

研究目的：基于国土资源数据现状,提出有效整合方案,为国土资源信息化建设提供借鉴。研究方法：以ETL技术框架为基础,结合数据挖掘技术和GIS技术,设计符合国土资源数据整合要求的解决方案,并以常州市为例进行实证研究。研究结果：数据整合方案有效快捷地解决了常州市国土资源数据整合。研究结论：方案智能化提高了数据整合过程的数据分析能力、处理能力和效率,有效地从国土资源数据本身解决了整合难题,对市县级国土资源数据整合有借鉴意义。     

EDGAR on the internet: The welfare effects of wider information distribution in an experimental market for risky assets

Policies such as the SEC’s Fair Disclosure Rule, and technologies such as SEC EDGAR, aim to disseminate corporate disclosures to a wider audience of investors in risky assets. In this study, we adopt an experimental approach to measure whether this wider disclosure is beneficial to these investors. Price-clearing equilibrium models based on utility maximization and non-revealing and fully-revealing prices predict that in a pure exchange economy, an arbitrary trader would prefer that no investors are informed rather than all are informed; non-revealing theory further predicts that an arbitrary trader would prefer a situation in which all traders are informed rather than half the traders are informed. These predictions can be summarized as “None > All > Half”. A laboratory study was conducted to test these predictions. Where previous studies have largely focused on information dissemination and its effects on equilibrium price and insider profits, we focus instead on traders’ expected utility, as measured by their preferences for markets in which none, half, or all traders are informed. Our experimental result contradicts the prediction and indicates “Half > None > All”, i.e. subjects favor a situation where a random half is informed. The implication is that in addition to testing predictions of price equilibrium, experiments should also be used to verify analytical welfare predictions of expected utility under different policy choices. JEL Classification D82, D53, G14, L86 This work was largely completed while this author was at The Hong Kong University of Science and Technology.     

基于不对称需求信息的激励机制模型研究

针对由单制造商和单销售商组成的供应链,提出了供应链双方需求信息对称情况下的激励机制模型,并在此基础上建立了供应链双方在需求信息不对称情况下的运作策略模型。制造商通过折扣,运用激励相容机制使销售商诚实申报需求信息,使得供应链利润最大化的同时供应链成员实现双赢。数字试验结果表明:①所提策略是有效的;②该策略不仅能提高制造商利润,而且也能改善销售商的利润。     

The Coverage Properties of Confidence Regions After Model Selection

It is very common in applied frequentist (classical) statistics to carry out a preliminary statistical (i.e. data-based) model selection by, for example, using preliminary hypothesis tests or minimizing AIC. This is usually followed by the inference of interest, using the same data, based on the assumption that the selected model had been given to us  a priori . This assumption is false and it can lead to an inaccurate and misleading inference. We consider the important case that the inference of interest is a confidence region. We review the literature that shows that the resulting confidence regions typically have very poor coverage properties. We also briefly review the closely related literature that describes the coverage properties of prediction intervals after preliminary statistical model selection. A possible motivation for preliminary statistical model selection is a wish to utilize uncertain prior information in the inference of interest. We review the literature in which the aim is to utilize uncertain prior information directly in the construction of confidence regions, without requiring the intermediate step of a preliminary statistical model selection. We also point out this aim as a future direction for research.     

Exchangeability, Correlation, and Bayes' Effect

We examine the difference between Bayesian and frequentist statistics in making statements about the relationship between observable values. We show how standard models under both paradigms can be based on an assumption of exchangeability and we derive useful covariance and correlation results for values from an exchangeable sequence. We find that such values are never negatively correlated, and are generally positively correlated under the models used in Bayesian statistics. We discuss the significance of this result as well as a phenomenon which often follows from the differing methodologies and practical applications of these paradigms – a phenomenon we call Bayes' effect.     

关键审计事项披露与企业会计稳健性——基于准自然实验和文本分析的证据

关键审计事项披露对增强财务报告可信度、提高信息透明度以及提升企业会计信息质量具有重要意义。基于2014—2020年我国上市公司样本数据,采用多期双重差分法和文本分析方法,实证检验了关键审计事项披露对企业会计稳健性的影响。研究发现：关键审计事项披露提升了企业会计稳健性,且在非国有企业和净资产收益率小于6%的企业中正向影响更大;关键审计事项披露数量越多,关键审计事项结论性评述积极程度和关键审计事项审计应对力度越高,披露资产减值类和损益类关键审计事项对企业会计稳健性的提升越显著;进一步分析发现,这一效应在企业信息透明度较低以及审计监督效应较强的企业中更为明显;作用机制检验表明,关键审计事项披露通过提高市场感知的审计质量和报表盈余的审计质量提升了企业会计稳健性。     

现代信息技术在智能建筑中的应用

信息技术的数字化、智能化和信息网络的全球化成为信息社会的主要特征。建筑业作为国民经济的重要产业已经受到了信息化、智能化的影响。介绍了现代信息技术在智能建筑中的应用,以及国内外智能建筑发展状况,阐述了智能建筑的系统结构、功能和关键技术。     

植入"公平博弈"的委托-代理模型——来自行为经济学的一个贡献

本文通过将Rabin(1993)提出的"公平博弈"概念植入现有委托一代理模型,获得一个考虑了代理人表现出"互惠性"非理性行为的新委托一代理模型.由该模型给出来的最优委托一代理合约可以给委托人带来比现有委托一代理最优合约更高的利润水平.研究发现,现有的Holmstrom-Milgrom模型中的最优合约不是帕累托最优的.新模型可以解释企业人性化管理和许多有特色的人性化企业文化的形成.本文是行为经济学与现有激励理论相结合研究的一种初步尝试,是运用行为经济学原理重建信息经济学基本框架的原创性工作.     

企业核心竞争力信息的自愿披露战略研究

自愿性信息披露是解决信息不对称问题的重要手段,而核心竞争力作为反映企业持续竞争优势源泉的信息,成为企业自愿性披露战略的重点内容。本文以信息不对称理论、信号理论和经济后果理论为基础．分析了自愿性信息披露的价值．对既有研究中核心竞争力的识别和价值测度问题进行了述评．并围绕核心竞争力信息自愿披露的内容、形式、有效程度以及诉讼回避等问题,对企业核心竞争力信息自愿披露战略进行了探讨。