Size and information revelation in securities trading

We examine differences in information content between order submission sizes and trade sizes by U.S. equity traders. Increasing (decreasing) order submission (trade) size is reflective of information. The result suggests that better-informed traders want to trade in a large size, but that they engage in stealth trading practices or break larger orders into smaller sizes in order to conceal information. While prior studies tend to narrowly focus on trade executions at the market-centre level, our findings indicate that order submission size varies significantly from trade size and that both sizes are informative about future prices, albeit in an inverse manner.     

管理层权力与或有事项信息披露——基于环境不确定性的调节效应研究

基于2003—2016年我国A股上市公司的经验数据，以企业表内列报的预计负债金额与表外附注中披露的或有事项频数为考察对象，实证检验了管理层权力对或有事项信息披露的影响。研究发现，管理层权力与表内列报的或有事项信息显著负相关，而与表外披露的或有事项信息显著正相关；进一步发现，随着环境不确定性的增加，管理层权力对企业表内预计负债列报的负向影响显著增强，而对表外或有事项披露的正向影响明显减弱。在当前外部环境瞬息万变、内部治理机制弱化的背景下，管理层可能会利用其控制权操控或有事项信息的披露方式，自我服务偏好明显。     

变革中多渠道信息传递对员工绩效的影响机制

面对日趋复杂的外部环境,组织变革成为企业获得竞争力的重要方式。员工参与是组织变革成败的关键,充足的组织变革信息有利于员工积极投入变革。本文以社会信息加工理论为基础,对来自被兼并企业的36个工作团队185名员工进行研究,探索多渠道变革信息传递对员工的影响机制。基于多层次线性模型的数据分析结果表明:(1)变革情境下,组织正式渠道进行信息沟通和变革氛围包含的非正式信息,均能正向促进员工变革绩效;(2)员工所持有的积极变革期望,在多渠道信息传递和变革绩效间起到中介作用;(3)变革氛围跨层调节变革信息沟通对员工积极变革期望的正向作用,相比于低变革氛围情景,具有高变革氛围的团队,通过变革信息沟通更能显著提升员工对变革的积极期望。研究结论对企业变革实践中信息传递和沟通工作具有现实指导意义。     

Seasonality and regional productivity in the Spanish accommodation sector

This study quantifies the impact of peak demand and seasonality on regional productivity in the Spanish accommodation sector. We then identify factors affecting seasonal fluctuations and their relative contributions to regional variations in seasonality. The results show that demand for accommodation in the peak season mainly determines productivity. Thus, improving a region's attractiveness as a tourist destination is most effective for tourism-based regional development. In addition, reducing seasonal variations has a non-negligible impact on productivity. A decomposition analysis reveals that providing climate-independent tourist attractions and attracting business travelers are effective in reducing seasonality.     

数字经济时代会计变革及对策

随着数字经济时代的来临，以人工智能技术为代表的现代信息技术越来越多地应用到会计工作中，会计工作将进入数字会计时代，向共享会计、管理会计、智能会计发展。为了适应数字经济带来的变化，会计机构要成为企业的“数据中心”，发挥管理和服务职能。会计人员要积极学习现代信息技术和管理知识，实现由核算型向管理型转型。     

体外孵化项目的合法会计信息失真研究——以爱尔眼科为例

新经济、新业态的发展,新商业模式不断涌现,会计信息生产者按已有的会计准则和职业判断进行确认、计量、记录和报告,路径依赖下的会计处理程序可能会形成合法性信息失真。体外孵化成为企业扩张的加速器,也是隐藏风险的“雷”,目前的会计处理程序展现了一份资产、利润都高速增长的财务报表,而交易的风险可能被隐匿。本文以运用并购基金实现体外孵化的典型案例爱尔眼科作为研究对象,通过阐述体外孵化项目投资逻辑,分析复杂的商业交易造成控制权的模糊,致使其会计信息未反映经济实质以及内含的风险,以此提示信息使用者以及为监管层提供政策建议,当前会计准则和规范滞后商业模式发展,相关部门应该更关注市场的新商业模式以及其会计处理程序和信息披露监管。     

基于声誉效应的工程监理激励机制模型研究

为了提高工程监理工作积极性,基于Holmstrom-Milgrom模型,引入声誉效应,建立声誉效应和显性激励机制相结合的动态委托代理激励模型。分析声誉效应发挥激励机制作用条件,并与未考虑声誉效应的委托代理模型进行比较。结果表明:声誉效应在满足一定的条件下,引入声誉激励机制能够增加业主的期望收益,并且能提高监理的努力水平。最后,通过数值仿真模拟验证引入声誉效应的合理性。     

GIS-based fuzzy multi-criteria approach for optimal site selection of fire stations in Istanbul,Turkey

Fire stations play a central role in protection and response activities as part of emergency management services in cases of fire incidences. With the rising urban populations and city expansions, the demand for more fire services resultantly increases. It then becomes critical to effectively plan the location of emergency facilities to adequately service the population and ensure the protection of lives and infrastructure. This study, therefore proposes the use of the fuzzy extension of the Multi-Criteria Decision-Making (MCDM) method of Analytical Hierarchical Process (AHP), hence called fuzzy AHP, integrated with Geographic Information Systems (GIS) approach to optimally site new fire stations for the case of Istanbul region. This proposed fuzzy approach simulates the subjective expert judgements for the preferences of the six criteria assessed for fire station suitability mapping and thereby accounted for the uncertainty of crisp comparison values via triangular fuzzy numbers (TFNs). The criteria weights evaluated from this procedure were used in a weighted overlay analysis of the reclassified criteria map layers in ArcGIS to generate a fire station suitability map. These resultant fuzzy AHP criteria weights were validated using another MCDM technique, called Best-Worst Method (BWM) and found to be comparable and consistent. The criteria that had the strongest influence on the selection of sites for fire stations were identified to be: the density of hazardous material facilities (DHM), a high population density (HPD) and proximity to main roads (PMR) with associated weights of 33.3%, 24.4% and 15.2%, respectively. Based on a thorough assessment within the areas represented by class values ranging from 3 to 5 on the suitability map, a total of 34 new fire station sites were selected complementing the existing 121 fire stations. Further, a prioritization analysis from low, medium to high, was performed to plan the phases for the construction of new fire stations in view of competing budgetary needs and resource constraints. The methodology to achieve this was proposed and modelled for enhancing the decision-making process in urban fire station site selection studies.     

Linking of sample data to small areas

We consider methods for estimating the means of survey variables in domains of a finite population, where sample sizes are too small to obtain reliable direct estimates. We construct generalized compositions from the direct and traditional design-based synthetic estimators and propose the methodology for evaluating their coefficients. This methodology measures similarities among sample elements and estimates of the domain means. We propose the compositions for two cases of auxiliary information: domain-level characteristics are available; true means of auxiliary variables are available for the estimation domains, and unit-level auxiliary vectors are known for the sample elements. In the simulation study, we show where the generalized compositions improve the traditional synthetic and composite estimators.