Generalized estimator of population mean by using conventional and non-conventional measures in the presence of measurement errors

In survey research, it is assumed that reported response by the individual is correct. However, given the issues of prestige bias, self-respect, respondent's reported data often produces estimated values which are highly deviated from the true values. This causes measurement error (ME) to be present in the sample estimates. In this article, the estimation of population mean in the presence of measurement error using information on a single auxiliary variable is studied. A generalized estimator of population mean is proposed. The class of estimators is obtained by using some conventional and non-conventional measures. Simulation and numerical study is also conducted to assess the performance of estimators in the presence and absence of measurement error.     

The nested joint clustering via Dirichlet process mixture model

This article focuses on the clustering problem based on Dirichlet process (DP) mixtures. To model both time invariant and temporal patterns, different from other existing clustering methods, the proposed semi-parametric model is flexible in that both the common and unique patterns are taken into account simultaneously. Furthermore, by jointly clustering subjects and the associated variables, the intrinsic complex shared patterns among subjects and among variables are expected to be captured. The number of clusters and cluster assignments are directly inferred with the use of DP. Simulation studies illustrate the effectiveness of the proposed method. An application to wheal size data is discussed with an aim of identifying novel temporal patterns among allergens within subject clusters.     

On comparing,classifying and clustering several dependent regression models

Classifying several regression models fitted on a dataset is one of the most problems in data analysis. In other words, scientists are interested in comparing several regression models that can be used for a dataset. In this paper, an approach will be used to compare and classify several dependent regression models. Then the performance of the proposed method is investigated using simulation study and real example.     

优化国际语言服务环境背景下关于大学英语写作教学的若干反思

国际语言服务的水平直接体现了一个城市乃至国家的国际化程度,关系到一个城市或国家的国际形象和国际竞争力。随着中国与国际社会的交流日深,对既有自己的专业又具备一定的英语综合运用能力的复合型人才的需求也随之增加。他们不但要有一定的英语口头表达能力,书面表达能力也面临着新的挑战和要求。但我国高校的大学英语课普遍对写作环节重视不足,导致学生的写作基础薄弱。文章分析了大学英语写作过程中存在的普遍性问题并提出了相应的对策。     

环境法执法机制研究

随着我国环境法立法体系的日益完善,加强环境执法已成为当前环境保护领域的焦点和难点问题。本文在分析了环境行政执法存在的问题及完善对策后,提出环境刑事执法的健全应以程序机制的完善为中心,并认为应从扩张民事诉讼主体资格和建立中立环境损害鉴定机构两个角度去完善当前的环境民事执法机制。     

Evaluating social investment in disability policy

Disability policy in European countries is displaying a shift towards social investment: increasing human capital and access to the labour market. The reasoning that underlies this transition is that disabled persons would benefit from mainstream employment, but are impeded in traditional policy by deficiencies in labour supply and demand. However, the shift towards more activating policies in many countries is accompanied by a decline in social protection. It is unclear whether social investment may effectively promote the employment chances of disabled persons within this context. The present research examines this question through a quantitative, cross-sectional, multilevel analysis on microdata from 22 EU countries. Our findings suggest greater activation to predict lower employment chances, while reducing passive support shows mixed effects. Conversely, measures for facilitation in daily life predict greater employment chances, as do measures for sheltered work. These findings raise questions over the value of social investment for disabled persons—and underline the need to overcome broader barriers in the labour market and in society.     

Non-tariff barrier on chicken imports into Russia: Impact on production,trade and prices

We analyze the Russian restriction on chicken imports as an example of a non-tariff barrier (NTB). Cointegration test results support the hypothesis that the NTB limited trade. We calibrate an equilibrium market model to cointegration results to assess the market impact. The tariff equivalent of the Russian chicken NTB is estimated to be 30 − 40% depending on the representation of consumer demand. Removing the NTB decreases domestic production by 4–5% and domestic price by 27%–34%, while imports increase by 326–423 thousand tons annually in 2015–2019.     

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。