安徽省高技术产业技术创新效率研究

运用因子分析定权法测算安徽省高技术产业的技术创新效率,结果发现技术含量相对较高的产业其技术创新效率较低,而技术含量相对较低的产业其技术创新效率反而较高。这说明安徽高技术产业走技术创新之路仅处于起步阶段,而市场环境是影响安徽技术创新效率的重要因素。     

折旧方法对盈亏平衡点的影响分析

分析了折旧方法对静态盈亏平衡点及动态盈亏平衡点的影响，结果表明，不同的折旧方法对盈亏平衡点的影响很大。     

Bayes方法在教学效度分析上应用与实现

本文提出了基于Bayes理论方法的多元数据融合方法,给出了该方法在教学改革中教学质量综合评估中的应用,并结合体育课内容制定的实例证明了该方法的有效性。     

钢结构随机有限元动力分析

钢结构在应用一段时间后,物理参数和几何参数的变化将导致结构参数发生某些不确定性的改变, 这将会影响结构的力学特性.从此问题出发,通过一个算例详细阐述了用摄动随机有限元法解决此类问题的实现过程.     

中国及各经济区工业企业效率的实证研究

文章利用数据包络分析（DEA）方法，对1998—2003年我国全国及各经济区工业企业的效率水平进行了实证研究。结果发现，这几年我国工业企业发展基本健康，但缺乏突破，东部地区的工业企业效率基本无变化，东北地区、西部地区的工业企业效率有所改进，中部地区情况有所恶化。进一步分析认为，中西部地区的工业企业均存在获利能力差的问题，其中，中部地区的工业企业还存在投入结构不合理的问题。     

大数据背景下医院财务管理的创新路径探索

财务管理在每个单位中发挥着至关重要的作用,同样财务管理是医院管理工作中的重要组成部分,其与医院的发展密切相关。当前,在大数据时代下医院管理模式缺乏创新,已经跟不上信息化时代的发展潮流。为了能够更好地适应大数据时代的发展趋势,医院财务管理应朝着数字化、自动化和智能化的方向发展。     

基于云计算与物联网技术的数据挖掘

在科学技术快速发展的今天,信息通信行业已经与我们的日常生活完全融为一体,并且推动了整个社会的发展,所以在科学技术快速进步的过程中,信息通信相关技术也在不断发展,其中,基于云计算的物联网发展越来越受到人们的重视。论文对基于云计算的物联网数据挖掘模式进行分析及探讨,从而为互联网数据挖掘技术发展提供相应的参考。     

Network based evidence of the financial impact of Covid-19 pandemic

How much the largest worldwide companies, belonging to different sectors of the economy, are suffering from the pandemic? Are economic relations among them changing? In this paper, we address such issues by analyzing the top 50 S&P companies by means of market and textual data. Our work proposes a network analysis model that combines such two types of information to highlight the connections among companies with the purpose of investigating the relationships before and during the pandemic crisis. In doing so, we leverage a large amount of textual data through the employment of a sentiment score which is coupled with standard market data. Our results show that the COVID-19 pandemic has largely affected the US productive system, however differently sector by sector and with more impact during the second wave compared to the first.     

Economic Growth and Transboundary Pollution in Europe: An Empirical Analysis

The existing empirical evidence suggests that environmental Kuznets curvesonly exist for pollutants with semi-local and medium term impacts.Ansuategi and Perrings (2000) have considered the behavioral basis for thecorrelation observed between different spatial incidence of environmentaldegradation and the relation between economic growth and environmentalquality. They show that self-interested planners following a Nash-typestrategy tend to address environmental effects sequentially: addressingthose with the most immediate costs first, and those whose costs aredisplaced in space later. This paper tests such behavioral basis in thecontext of sulphur dioxide emissions in Europe.     

An Econometric Estimation of Industrial Water Demand in France

This study investigates the structure of industrial water demand byestimating the derived demand for water on a sample of industrialestablishments located in the south-west of France. Productiontechnologies are represented by short-term variable cost functions andapproximated by a translog form. Industrial water use is modeled ashaving three components: the quantity of water bought to a waterutility, the quantity of autonomous water and the quantity of watertreated prior to use. We include in this framework water effluents,which are considered as a by-product of the production process, emittedby firms. Each of the three water components is treated as a separateinput and all are estimated as a system of simultaneous equations. Themodel is estimated on a sample of 51 industrial plants in the Girondedistrict observed from 1994 to 1996 using Seemingly Unrelated Regression(SUR) and Feasible Generalized Least Squares (FGLS). Results ofestimations show that industrial firms are sensitive to water priceinputs. Network water elasticity is estimated at –0.29. It variesfrom –0.10 to –0.79 according to the type of industryconsidered. Autonomous water price elasticity is not significant.Elasticity for treated water is evaluated at –1.42 at themean-sample and varies from –0.90 to –2.21 according to theindustry considered.