论环境贸易措施对WTO规则的影响

随着多边贸易体制的不断发展和完善,关税、配额、许可证等传统的贸易手段受到了越来越严格的约束。然而一些国家,特别是发达国家转而采用一些更为隐蔽的贸易措施对国内市场进行保护,环境贸易措施就是其中一种非常重要的并为许多国家所采用的一种新型的贸易保护措施。并且,这种贸易措施将对W TO的发展及其相关规则产生重要的影响。     

京津冀节能减排政策措施的差异与协同研究

在对京津冀1981年以来节能减排政策措施进行量化处理的基础上,建立针对节能减排政策措施有效性的计量模型,分析了京津冀节能减排政策措施的演变状况,并探究京津冀节能减排政策措施对其节能减排效果影响的差异性.研究结果表明:京津冀节能减排政策颁布经历了早期各年份相对零散、缺乏连续性到新世纪以来政策颁布数量显著增多、政策总体力度逐渐增大的过程,但三地政策总效力的增加主要是由于节能减排政策颁布数量增多引起的;京津冀三地在政策的制定过程中更多的是趋于实现短期目标,政策整体缺乏系统性和权威性;人事措施、行政措施、引导措施、财税措施、金融措施等不同节能减排政策措施对京津冀节能和减排的有效性具有明显的差异;三地对不同政策措施的使用方式、使用程度方面存在明显的差异,这对京津冀协同推进节能减排的治理工作提出挑战.论文还从京津冀完善单一节能减排政策措施的使用、加强市场手段的应用及京津冀区域协同治理等方面提出了相应政策建议.     

微博时代我国主流意识形态面临的发展格局、挑战及其对策

微博时代,我国主流意识形态面临的机遇和挑战并存。微博的迅猛发展和强大功能,进一步拓展了我国主流意识形态的发展空间,深刻地改变了我国主流意识形态的发展格局。同时,微博也成为各种意识形态争夺的阵地;微博蕴含的政治力量挑战了国家的政治议程;微博谣言泛滥消弱了民众对我国主流价值观的认同。这些都给我国主流意识形态建设带来严峻的挑战。对此,我国主流意识形态必须有所作为,对微博的负面效应进行有效的制度化解和积极应对,确保我国主流意识形态建设稳定、持续、健康的发展。     

高校科研经费管理中存在的问题及对策研究

近些年来,我国高校科研经费大幅度增长,科研项目种类日益繁多,给科研经费的管理提出了新的挑战。目前,我国高校科研经费管理中存在着各地各校虽宽严不一,但模式相同,缺乏区别管理,相关部门和责任人各自为政等问题。究其原因是责任意识缺乏和制度建设滞后。解决这些问题的根本出路是通过宣传教育提升相关部门和行为主体的责任意识。有效措施是实行区别管理制度,强化相关职能部门和课题责任人之间的沟通与协调,采取适度灵活的管理政策,有区别地适当提高项目组成员劳务费比重,实行项目主持人责任制。     

城市社区图书馆发展问题探析

社区图书馆在城市社区文化建设中发挥着重要作用,然而由于我国社区图书馆事业起步较晚,经验不足,在建设和发展的进程中还存在许多不足之处,文章详细列举了目前我国社区图书馆普遍存在的问题并阐述了应对策略。     

Model selection for Lévy measures in diffusion processes with jumps from discrete observations

We deal with parametric inference and selection problems for jump components in discretely observed diffusion processes with jumps. We prepare several competing parametric models for the Lévy measure that might be misspecified, and select the best model from the aspect of information criteria. We construct quasi-information criteria (QIC), which are approximations of the information criteria based on continuous observations.     

中国生育率研究方法:30年回眸

改革开放30年是我国人口学及人口研究迅速成长的30年。生育率研究方法从一个侧面反映出改革开放以来我国人口学研究方法的发展。中国的生育率研究方法既有从西方引进的各种生育率指标和模型,也有中国学者为了适应自己的需要而改进和创建的方法和模型。笔者从生育率度量指标和生育率模型两个方面总结我国生育率研究方法的应用及变化。对在中国生育率研究中所使用的主要方法进行回顾并对这些方法对我国生育率研究的贡献进行总结。     

The effect of different data structures,sample sizes on model fit measures

In this study, our aim was to investigate the changes of different data structures and different sample sizes on the structural equation modeling and the influence of these factors on the model fit measures. Examining the created structural equation modeling under different data structures and sample sizes, the evaluation of model fit measures were performed with a simulation study. As a result of the simulation study, optimization and negative variance estimation problems have been encountered depending on the sample size and changing correlations. It was observed that these problems disappeared either by increasing the sample size or the correlations between the variables in factor. For upcoming studies, the choice of RMSEA and IFI model fit measures can be suggested in all sample sizes and the correlation values for data sets are ensured the multivariate normal distribution assumption.     

Copulas related to piecewise monotone functions of the interval and associated processes

In this work, we derive the copulas related to vectors obtained from the so-called chaotic stochastic processes. These are defined by the iteration of certain piecewise monotone functions of the interval [0, 1] to some initial random variable. We study some of its properties and present some examples. Since often these types of copulas do not have closed formulas, we provide a general approximation method which converges uniformly to the true copula. Our results cover a wide class of processes, including the so-called Manneville–Pomeau processes. The general theory is applied to the parametric estimation in certain chaotic processes. A Monte Carlo simulation study is also presented.     

The exponentiated reduced Kies distribution: Properties and applications

Here we consider an exponentiated version of the reduced Kies distribution and discuss some of its properties. The parameters of the distribution are estimated by the method of maximum likelihood and illustrated with the help of certain real-life data sets. Asymptotic behavior of the maximum likelihood estimators of the parameters of the distribution is also studied by using certain simulated data sets.