互联网驱动产业结构高级化效应分析

经济新常态下,互联网已经成为中国经济转型升级的重要引擎。基于中国2003—2013年30个省市(区)的省级面板数据,实证分析互联网发展对中国产业结构高级化影响效应。研究结果表明:在静态上,互联网发展对产业结构升级具有显著的正向影响;互联网发展对产业结构高级化的溢出效应表现出地区差异;产业结构高级化受其前一期的显著影响,表明产业结构高级化进程具有显著的惯性。     

An F-type test for detecting departure from monotonicity in a functional linear model

When studying associations between a functional covariate and scalar response using a functional linear model (FLM), scientific knowledge may indicate possible monotonicity of the unknown parameter curve. In this context, we propose an F-type test of monotonicity, based on a full versus reduced nested model structure, where the reduced model with monotonically constrained parameter curve is nested within an unconstrained FLM. For estimation under the unconstrained FLM, we consider two approaches: penalised least-squares and linear mixed model effects estimation. We use a smooth then monotonise approach to estimate the reduced model, within the null space of monotone parameter curves. A bootstrap procedure is used to simulate the null distribution of the test statistic. We present a simulation study of the power of the proposed test, and illustrate the test using data from a head and neck cancer study.     

基于主成分logistic回归模型的餐饮商务信息意识研究

数据挖掘技术日趋成熟,广泛应用于金融、地产、投资、评估等各个领域。数据挖掘技术亦可应用于餐饮业,为其经营决策做出分析。其他领域的数据挖掘的成功案例也可以引用到餐饮行业中。本文对餐饮人士在餐饮商务中是否具备信息意识、对信息意识的重视程度进行调查,利用数据挖掘中主成分分析和 logistic 回归处理和分析收集来的数据,从而说明数据挖掘在餐饮业管理中的重要意义,反映餐饮人士信息意识状况。利用数据挖掘技术对餐饮商务资讯进行管理势必提高企业效率和盈利水平,促进餐饮业健康稳定的发展。     

回流农民农业经营职业化的影响因素

基于在甘肃、湖南和贵州三省的调查数据,运用二元Logistic回归模型,分析了回流农民农业经营决策和新型农民职业化的影响因素。结果表明:回流农民是否从事农业经营和能否成为新型职业农民同时受到个人禀赋、农业信息感知和乡土情结的影响。个人禀赋的影响表现为:教育程度较高和非常健康的回流农民从事农业经营的可能性低;有培训经历和非常健康的回流农民成为新型职业农民的可能性高;农业信息感知的影响表现为:惠农政策感知水平越高,回流农民从事农业经营的可能性越大,成为新型职业农民的可能性也越大;农业风险感知水平越高,回流农民从事农业经营的可能性越低;支农举措感知水平越高,回流农民成为新型职业农民的可能性越大;乡土情结的影响表现为:有土地流入经历的回流农民从事农业经营的可能性更大,爱农情结越深的回流农民越容易成为新型职业农民。建议从改善农业经营金融扶持与农业保险体系、强化农业技术培训、提升农业信息传播效果和激发回流农民乡土情结四个方面入手,吸引更多回流农民从事农业经营,培育更多回流农民成为新型职业农民。     

长江三角洲城市群洪涝灾害脆弱性评估及影响因素分析

长江三角洲城市群人口、财产、基础设施高度密集,暴雨洪涝灾害带来的影响越来越大,对该区域城市洪涝灾害脆弱性进行评估是保障长江三角洲区域一体化、可持续发展的基础。以长江三角洲城市群中心区27个城市为研究对象,基于超效率DEA模型,将洪涝灾害脆弱性看作一个负面“生产活动”,构建城市洪涝灾害脆弱性评估模型,在分析脆弱性空间分异特征的基础上确定该地区城市洪涝灾害脆弱性的主要影响因素。结果显示：从整体上看,长江三角洲城市群洪涝灾害脆弱性水平差异较大,安徽及浙江远高于江苏和上海,其中,上海的洪灾脆弱性最低;从空间上看,脆弱性分布有明显的地域集聚特征,脆弱性高的城市分布在浙江东南沿海和安徽南部丘陵地区;降雨量、城市发展水平及基础设施的完善性等因素对城市洪涝灾害脆弱性影响显著。     

信息技术对审计的影响研究

随着信息技术在社会经济生活中的全方位渗透,适用于传统经济环境的审计理论、方法与技术需要变革以适应现代组织的各类日常运营和活动,通过调研信息技术在审计中的具体应用,从12个方面对信息技术进步与审计发展面临的问题和趋势进行系统性研究。研究认为,信息技术促使审计职能从审计为主变为审计与管控并重,审计范围从经济安全变为经济与信息安全并重,审计内容从财务为主变为财务与业务并重,审计对象从账本变为数据库,审计模式从事后变为事前事中事后全包含,审计方式从现场勘察为主变为远程分析为主,审计介质从纸质变为电子,审计证据从有形变为无形,数据来源从抽样变为全样本,测试内容从人工系统变为信息系统,工作形式从审计合作变为审计协同,风险计算从依赖审计人员经验变为依据系统模型,这些变革极大地推进了审计向现代化方向发展。     

略论英美宪法对公民人身权利的保护及对我国的启示

英美宪法比较重视对公民人身权利的保障,如对公民人身权利规定得比较全面详细,对逮捕、拘禁、拘留、搜查等措施规定了具体而严格的条件,并特别要求说明采取这些措施的理由;对公民人身权利的限制或剥夺必须遵循正当法律程序;确立了人身保护令状制度;重申了刑法或刑事诉讼法的一些基本原则等。这些"他山之石",对解决我国公民人身权利的保障问题具有一定的启示作用。     

Camera-Related Behaviors during Video Recorded Medical Interactions

Video recording provides an objective record of the content of medical interactions. However, there is concern that cameras may be reactive measurement devices that alter what normally transpires during interactions. This study addressed potential reactivity of cameras in medical interactions. Interactions between 45 patients and 14 medical oncologists were video recorded and coded for camera-related behaviors. Eleven of 45 patients performed none of the behaviors. Among the other patients, camera-related behaviors were infrequent and, on average, constituted about 0.1% (one-tenth of one percent) of total interaction time. Behaviors occurred most often in very early stages of interactions, and when physicians were absent from the room. Seven physicians showed camera-related behaviors, comprising less than 0.1% of the time they were in the interaction. Results suggest video recording can provide nonreactive means of studying medical interactions.

State transition modeling of complex monitored health data

This article considers the analysis of complex monitored health data, where often one or several signals are reflecting the current health status that can be represented by a finite number of states, in addition to a set of covariates. In particular, we consider a novel application of a non-parametric state intensity regression method in order to study time-dependent effects of covariates on the state transition intensities. The method can handle baseline, time varying as well as dynamic covariates. Because of the non-parametric nature, the method can handle different data types and challenges under minimal assumptions. If the signal that is reflecting the current health status is of continuous nature, we propose the application of a weighted median and a hysteresis filter as data pre-processing steps in order to facilitate robust analysis. In intensity regression, covariates can be aggregated by a suitable functional form over a time history window. We propose to study the estimated cumulative regression parameters for different choices of the time history window in order to investigate short- and long-term effects of the given covariates. The proposed framework is discussed and applied to resuscitation data of newborns collected in Tanzania.