有效产业政策的具体准则构架

随着政策科学在西方的兴起,产业政策评估已经成为各国经济学家和政治学家共同关心的课题,并日益受到各国政府的重视。但对何为有效的产业政策,至今仍是一个需要进一步探讨的重要理论和实践问题。目前,最大多数人的最大福利原则、综合效应标准、生产力标准和国际竞争力标准是评价产业政策是否有效的原则和一般标准,本文拟在此基础上,试从产业政策的制定和执行两大环节中,以制约产业有效性的六个主要因素,来构架有效产业政策的具体准则。     

听力显性教学"聚焦输入、强化互动"的有效性研究

以在读非英语专业本科生和硕士生为研究对象,进行大学英语听力显性教学“聚焦输入、强化互动”的有效性研究。实验数据和问卷调查结果表明:“聚焦输入、强化互动”的显性教学效果明显,多维隐性效应得到学习者充分肯定。该研究对听力教学的启示是:进行听力显性教学策略研究,听力显性教学与学习者隐性学习结合都很有必要。     

论巴西在第二次世界大战期间的作用

第二次世界大战期间,巴西加入到世界反法西斯阵营,源源不断地供应盟军战略物资,派兵作战,积极配合盟军的军事行动,从政治、经济和军事各方面贡献出自己的人力、物力和财力,为世界反法西斯战争取得最终胜利铺平了道路。     

过度劳动及其就业挤出效应分析

本文将过度劳动界定为“人力资源在较长时期的过度使用”,即就业者在较长时期处于一种超出社会平均劳动时间和强度的就业状态。中国许多行业存在过度劳动现象,从业人员的过度劳动造成了很多就业机会被挤占,从而造成一些具有就业能力的人员的失业;而过度劳动并不影响所在行业的资本盈利与经济增长。资本盈利与经济增长所应带来的就业增长均被过度劳动所抵消,甚至在某些行业或领域还出现了就业负增长的情况。过度劳动的存在可以对中国经济增长与就业增长二者之间的“非一致性”做出部分解释。     

Gender differences in risk behavior and the link to household effects and individual wealth

This study examined the differences in risk behavior between men and women using a household survey that captured the risk preferences of two members in a household and recorded wealth at the individual level instead of the usual approach of representing wealth at the household level. After controlling for commonly used explanatory variables, such as gender, education, age, and wealth, household fixed effects explain about 15% of the variation in risk behavior. This highlights the magnitude of household effects in shaping one’s risk behavior. In general, females in the study area are more risk averse than males based on a risk game with real payout. The gender differences disappear when focusing on only the top land owners. However, even in those cases, females consider themselves more risk averse, supporting results from previous studies that link culture and societal norms to the gender differences in risk behavior.     

浅论图腾崇拜的特点及影响——兼论图腾崇拜向祖先崇拜的演变

图腾崇拜是人类历史上极为古老而奇特的文化现象之一。它是在原始社会母系氏族时期与氏族制度一起形成的,图腾是不同婚姻集团和氏族的标志。与其它原始宗教形式相比具有自己的特点,对原始社会的发展产生了重大的影响。最终随着生产力的发展、科学知识的普及以及人类的认识水平的提高,图腾崇拜逐渐走向消亡,并最终为祖先崇拜所取代。     

媒介事件对电视广告创意的影响

从对媒介事件的重新界说以及媒介事件对受众心理状态的影响入手,通过对近期国内一些电视广告片的创意特点的分析,指出在媒介事件的影响下,电视广告的创意正呈现出一些趋向,如诉求路线的情感化、表现内容的公益化、运作方式的潜隐化等等。对于这些趋向的认识,有助于企业改变以往程式化的广告操作手段,获得更加积极有效的广告产出;有利于拓展电视广告创意者的思维空间,使电视广告创作更上一个台阶。     

Noninformative priors for the between-group variance in the unbalanced one-way random effects model with heterogeneous error variances

For the unbalanced one-way random effects model with heterogeneous error variances, we propose the non-informative priors for the between-group variance and develop the first- and second-order matching priors. It turns out that the second-order matching priors do not exist and the reference prior and Jeffreys prior do not satisfy a first-order matching criterion. We also show that the first-order matching prior meets the frequentist target coverage probabilities much better than the Jeffreys prior and reference prior through simulation study, and the Bayesian credible intervals based on the matching prior and reference prior give shorter intervals than the existing confidence intervals by examples.     

Estimation of geodesic tortuosity and constrictivity in stationary random closed sets

We investigate the problem of estimating geodesic tortuosity and constrictivity as two structural characteristics of stationary random closed sets. They are of central importance for the analysis of effective transport properties in porous or composite materials. Loosely speaking, geodesic tortuosity measures the windedness of paths, whereas the notion of constrictivity captures the appearance of bottlenecks resulting from narrow passages within a given materials phase. We first provide mathematically precise definitions of these quantities and introduce appropriate estimators. Then, we show strong consistency of these estimators for unboundedly growing sampling windows. In order to apply our estimators to real data sets, the extent of edge effects needs to be controlled. This is illustrated using a model for a multiphase material that is incorporated in solid oxide fuel cells.     

Approximate composite marginal likelihood inference in spatial generalized linear mixed models

Non-Gaussian spatial responses are usually modeled using spatial generalized linear mixed model with spatial random effects. The likelihood function of this model cannot usually be given in a closed form, thus the maximum likelihood approach is very challenging. There are numerical ways to maximize the likelihood function, such as Monte Carlo Expectation Maximization and Quadrature Pairwise Expectation Maximization algorithms. They can be applied but may in such cases be computationally very slow or even prohibitive. Gauss–Hermite quadrature approximation only suitable for low-dimensional latent variables and its accuracy depends on the number of quadrature points. Here, we propose a new approximate pairwise maximum likelihood method to the inference of the spatial generalized linear mixed model. This approximate method is fast and deterministic, using no sampling-based strategies. The performance of the proposed method is illustrated through two simulation examples and practical aspects are investigated through a case study on a rainfall data set.