重庆市规模以上工业企业能耗的结构性分析

针对已有相关研究中地域针对性较弱的现状,以及工业节能在重庆节能减排工作中的重要地位,基于2004—2011年统计年鉴中重庆市规模以上工业企业产值能耗和增加值能耗的相关数据,采用“单位GDP能耗因素的数学分解方法”进行数据分析,将工业节能总量分解为一级结构节能量、二级结构节能量以及技术节能量,并讨论各因素的变动趋势和对节能总量的贡献程度,得到关于影响能耗变动的决定性因素的结论：首先是技术因素,其次是二级结构因素。同时,经过纵向比较,发现重庆工业技术性节能进入瓶颈的问题,并针对这一问题提出建议。     

基本养老保险缴费不平衡对居民收入不平等的影响

利用中国收入分配课题组2013年的调查数据(CHIP2013)分析了社会劳动力人口的养老保险缴费特点、收入分配效应及其不平等问题。研究发现:(1)基本养老保险缴费的不平等程度较高,农村不平等程度大于城镇。尽管新农保是社会的主要参保类型,但全国养老保险缴费金额主要由城镇职工养老保险贡献。(2)养老保险缴费过程扩大了城镇内部的收入差距,在农村地区的再分配作用不够明显,但是因为其缩小了城乡之间收入差距因而在全国范围内具有正向收入分配效应。(3)不平等的分解结果显示,解决制度间的差异是降低养老保险缴费不平衡的最有效办法。建立城乡统一的养老保险制度,实行多缴多补的补贴政策,都是降低缴费不平衡、缩小收入不平等的途径。     

On the Asymmetric Marcinkiewicz-Zygmund Strong Law of Large Numbers for Linear Random Fields

In this article, the asymmetric Marcinkiewicz-Zygmund strong law of large numbers for linear random field under negative association is obtained. Our result generalizes a result in Gut and Studtmüller (2009 Gut , A. , Studtmüller , U. ( 2009 ) An asymmetric Marcinkiewicz-Zygmund LLN for random fields . Statist. Probab. Lett. 79 : 1016 – 1020 .[Crossref], [Web of Science ®] , [Google Scholar]). An asymmetric Marcinkiewicz-Zygmund LLN for random fields to the linear random field by using the Beverige-Nelson decomposition.     

Construction of uniform designs for mixture experiments with complex constraints

Abstract

Mixture experiments have attracted increasingly attention due to their great practical value in production and living, while uniform designs over irregular experimental regions have become a hot topic in the area of experimental designs in the past two decades. Noting that the experimental region of a mixture experiment with q components under some constraints is in fact a (q ? 1)-dimensional geometry, this article proposes a new method for searching nearly uniform designs for mixture experiments with any complex constraints. Two examples with some tables and figures are given to illustrate this method.     

On the decomposition of X2 for two-way contingency tables

When samples are taken independently from I populations and the subjects classified into J categories, can the Pearson's chisquare statistic X² testing the homogeneity model on the resulting I×J two-way table be decomposed into components familiar in the analysis of variance? Will the X² testing the homogeneity model on tables derived by collapsing columns in the spirit of orthogonal comparisons in factorial experiments be asymptotically independent? The answers to both questions are generally negative. This paper gives a theoretical justification.     

Seasonal Adjustment of Time Series Using One-Sided Filters

This article presents a model-based signal extraction seasonal adjustment procedure to extract estimates of the independent unobserved seasonal and nonseasonal components from an observed time series. The decomposition yields a one-sided filter that is optimal for adjusting the most recent observation under the assumption of using only the past observed series. Some advantages of this procedure are that no forecasts are required for implementation and there are no problems of revision of estimates or questions of concurrent adjustment. Comparisons are made with existing procedures using two-sided filters.     

Manipulating Statistical Hypotheses and Tests as Boolean Functions

Statistical hypotheses and test statistics are Boolean functions that can be manipulated using the tools of Boolean algebra. These tools are particularly useful for exploring multiple comparisons or simultaneous inference theory, in which multiparameter hypotheses or multiparameter test statistics may be decomposed into combinations of uniparameter hypotheses or uniparameter tests. These concepts are illustrated with both finite and infinite decompositions of familiar multiparameter hypotheses and tests. The corresponding decompositions of acceptance regions and rejection regions are also shown. Finally, the close relationship between hypothesis and test decompositions and Roy's union—intersection principle is demonstrated by a derivation of the union—intersection test of the univariate general linear hypothesis.     

Socio-economical analysis of Italy: The case of hagiotoponym cities

This paper considers joining the economical characteristics of Italian cities with a relevant sociological aspect of the Catholic saints. More than in other countries, a high percentage of Italian cities are toponyms coming from the name of specific saints (hagiotoponym). The link with Italian religious views is distinct. The statistical analysis of the economic contributions that each hagiotoponym city provides to the Italian GDP is considered. Such an analysis is also based on the comparison with Italian data and is considered with the Theil, Gini, and Herfindahl-Hirschman indices. It is obtained that hagiotoponym cities represent a proxy of the overall Italian reality of medium-sized cities in the case of outliers removal.     

中国出口附加值率的产业特征及其演进路径分析——基于核密度函数分解技术

基于中国投入产出表,应用核密度估计及其分解技术,本文分析了中国加入WTO之后,各产业出口附加值率的分布及其动态变化.结果表明:中国各产业出口附加值率经历了先快速下降、再适度反弹,而后趋于平稳的演进路径;但三大产业的出口附加值率在演进方向、力度、强度和时间分布上呈现出不同的特征.进一步分析发现:三大产业出口附加值率动态演进的首要原因在于均值效应,其次为残差效应,效果最小的是方差效应.因而,促进出口附加值率增加既要推进各产业的整体发展,又要兼顾不同产业的个体特征.