路径与旨趣：近代浙江文化史研究嬗变

近代江南史研究见证并参与了近代中国社会文化的变迁,相比上海、苏南等地,浙江近代文化史研究亟需进一步拓展与深化。以革命与事件、结构与认同、学人与学派等研究路径为线索,回顾浙江近代文化史研究的关键要素,应能展望今后研究的方向：去意识形态化、突破单向度思维,以多元视角阐释近代浙江的革命群体与事件;揭示近代浙江文化现象背后深层次的社会关系和权力关系、结构与心态、集体记忆与文化认同,进一步认知近代精英与民众、国家与社会的能动关系;浙江学人在近代学术流变中发挥承前启后的作用,学人学术思想的本意及其实践成为近代浙学重建的重要参考。运用整体视角综合事件、结构、学理,积极拓展史料与理论范式,深入发掘近代浙江文化的历史经验和内在脉络,将为探索中国原理提供有效的知识与思想资源。     

平稳性检验方法的有效性研究

平稳性检验是时间序列分析的重要研究内容,现有检验方法的性能缺乏系统的比较分析。文章从样本长度的视角研究平稳性检验方法的性能,采用ADF检验、PP检验、KPSS检验和LMC检验四种方法展开实证研究。仿真实验结果表明:时间序列数据长度会对检验方法的准确率产生明显的影响,数据长度较小时检验准确率偏低;数据长度增大时可以提升检验方法的准确率,但仍未能达到100%的上限值。当样本长度较小时,这些方法的检验统计量的渐进分布难以满足,因此其实际检验效果值得探究。样本长度是有限的,因此渐进分布检验方式的改进空间有限,新的检验方式值得探究。     

基于伯克认同理论的品牌命名研究

品牌名称的恰当与否影响消费者的购买行为,关系到企业品牌文化形象。以西方修辞学为切入点,在伯克认同理论的基础上,探讨品牌命名认同建构的必要性,设计品牌名称的认同方式。通过分析品牌命名与消费者、目标市场的认同实现途径,以期推动企业品牌文化建设。     

有利砂体识别与解释

天然气的产量与砂岩的厚度,孔隙度,连通性,砂泥比等有密切的关系。为了解决砂体在空间以什么形态出现,其方向如何,纵向上如何变化,连通形式如何等问题,在前人研究的基础上,对篷来镇组某工区的砂体进行了精细识别和解释。在地震剖面上,砂体的响应一般表现为强振幅,低频率。孔隙性好,含气丰度高的砂体往往表现为速度低和极性反转的特点。但发现该工区的砂体在地震剖面上表现形式多变,甚至出现了合成地震记录与井旁地震记录严重不吻合的现象,故砂体识别工作不能遵循统一模式。因此,采用了多井约束,多层标定,分层解释来识别有利砂体。     

The Comparison of Performances of Widely Used Cointegration Tests

The aim of this study is to compare performances of commonly cointegration tests used in literature in terms of their empirical power and type I error probabilty for various sample sizes. As a result of the study, it has been found that some tests are not appropriate in testing cointegration in terms of empirical power and type I error probability. As a result of simulation study, λ_max test for any values of ρ and sample sizes have been found most appropriate test in conclusion.     

Asymmetric Forecast Densities for U.S. Macroeconomic Variables from a Gaussian Copula Model of Cross-Sectional and Serial Dependence

Most existing reduced-form macroeconomic multivariate time series models employ elliptical disturbances, so that the forecast densities produced are symmetric. In this article, we use a copula model with asymmetric margins to produce forecast densities with the scope for severe departures from symmetry. Empirical and skew t distributions are employed for the margins, and a high-dimensional Gaussian copula is used to jointly capture cross-sectional and (multivariate) serial dependence. The copula parameter matrix is given by the correlation matrix of a latent stationary and Markov vector autoregression (VAR). We show that the likelihood can be evaluated efficiently using the unique partial correlations, and estimate the copula using Bayesian methods. We examine the forecasting performance of the model for four U.S. macroeconomic variables between 1975:Q1 and 2011:Q2 using quarterly real-time data. We find that the point and density forecasts from the copula model are competitive with those from a Bayesian VAR. During the recent recession the forecast densities exhibit substantial asymmetry, avoiding some of the pitfalls of the symmetric forecast densities from the Bayesian VAR. We show that the asymmetries in the predictive distributions of GDP growth and inflation are similar to those found in the probabilistic forecasts from the Survey of Professional Forecasters. Last, we find that unlike the linear VAR model, our fitted Gaussian copula models exhibit nonlinear dependencies between some macroeconomic variables. This article has online supplementary material.     

信任对农民创业机会识别的影响

基于信任视角,构建农民创业者信任对创业机会识别的理论分析框架,运用链式多重中介方法,对浙江、安徽、河南和陕西4省880份农民创业者访谈数据进行实证分析,结果发现:信任能显著提高农民创业机会识别;农民创业者信任能通过外部知识获取与创业警觉性对创业机会识别产生间接影响,其作用路径有三条:外部知识获取的部分中介作用、创业警觉性的部分中介作用及外部知识获取与创业警觉性的链式中介作用。因此,政府应完善农民创业相关规章与制度;推进农村文化建设,提高信任水平;增加农民创业知识与技能的供给,培养农民创业者的机会警觉性。