中国经济增长与环境污染关系的Kuznets曲线

一、引言关于经济增长与环境污染之间的关系,国内外很多学者进行了大量研究。1992年,美国经济学家G·Grossman和A·Kureger对此提出了一个环境Kuznets曲线(Environment Kuznets Curve,EKC)的假设[1]。该假设试图说明如果没有一定的环境政策干预,一个国家的整体环境质量或污染水平是随着经济增长和经济实力的积累呈先恶化后改善的趋势。他们采用跨国数据说明了EKC的存在,即最初环境恶化程度随着人均GDP的上升而上升,达到一个转折点后,将随着人均GDP的上升而下降。并把这种现象归因于以下几点:(1)当人们越富有时,对环境质量的要求越高…     

中国地下经济研究与估计（1990～2004）

一、问题提出及背景对于我国经济增长率,国际组织、国内外专家学者纷纷提出GPD被“低估”或“高估”等种种说法。笔者认为,在我国处于这样的前所未有的社会转轨与经济转型的关键时期,中国的实际经济增长率明显地高于我国的预期,也高于世界其他机构的预测和估计。这部份由于官方统计之外存在的大量地下经济活动。随着我国社会转型的不断深化,大批农村剩余劳动力向城市迁移中产生了非正规部门就业。在城市化进程继续加快的过程中,我国的城乡劳动力流动变得更加自由,这都促使了农村剩余劳动力在这个过程中向非正规经济的扩展。地下经济在我国…     

Testing the Significance of Categorical Predictor Variables in Nonparametric Regression Models

In this paper we propose a test for the significance of categorical predictors in nonparametric regression models. The test is fully data-driven and employs cross-validated smoothing parameter selection while the null distribution of the test is obtained via bootstrapping. The proposed approach allows applied researchers to test hypotheses concerning categorical variables in a fully nonparametric and robust framework, thereby deflecting potential criticism that a particular finding is driven by an arbitrary parametric specification. Simulations reveal that the test performs well, having significantly better power than a conventional frequency-based nonparametric test. The test is applied to determine whether OECD and non-OECD countries follow the same growth rate model or not. Our test suggests that OECD and non-OECD countries follow different growth rate models, while the tests based on a popular parametric specification and the conventional frequency-based nonparametric estimation method fail to detect any significant difference.     

Effects of unmeasured heterogeneity in the linear transformation model for censored data

We investigate the effect of unobserved heterogeneity in the context of the linear transformation model for censored survival data in the clinical trials setting. The unobserved heterogeneity is represented by a frailty term, with unknown distribution, in the linear transformation model. The bias of the estimate under the assumption of no unobserved heterogeneity when it truly is present is obtained. We also derive the asymptotic relative efficiency of the estimate of treatment effect under the incorrect assumption of no unobserved heterogeneity. Additionally we investigate the loss of power for clinical trials that are designed assuming the model without frailty when, in fact, the model with frailty is true. Numerical studies under a proportional odds model show that the loss of efficiency and the loss of power can be substantial when the heterogeneity, as embodied by a frailty, is ignored. An erratum to this article can be found at     

Estimation of Distribution Functions Using Data from Different Environments

Suppose that when a unit operatesin a certain environment, its lifetime has distribution G,and when the unit operates in another environment, its lifetimehas a different distribution, say F. Moreover, supposethe unit is operated for a certain period of time in the firstenvironment and is then transferred to the second environment.Thus we observe a censored lifetime in the first environmentand a failure time of a ``used' unit in the second environment.We propose an EM algorithm approach for obtaining a self-consistentestimator of F. Moreover, suppose using observations from both environments.The case where failure times are subject to right censoring isconsidered as well. We also establish the maximum likelihoodestimator of F. Moreover, suppose when the unit is repairable. Applicationand simulation studies are presented to illustrate the methodsderived.     

Dependence Estimation Over a Finite Bivariate Failure Time Region

This articleconcerns nonparametric estimation of association between bivariatefailure times. In the presence of independent right censoring,the support for failure time variates may be restricted and measuresof dependence over a finite failure time region may be of particularinterest. To this end, the reciprocal cross ratio function, weightedby the bivariate failure time density, is proposed as a summarymeasure of dependence over a failure time region. This `relativerisk' estimator is shown to be consistent and asymptoticallynormally distributed, with consistent bootstrap variance estimator.A finite-region version of Kendall's tau, which is suitable forcensored failure time data, is also proposed, and correspondingasymptotic distribution theory is noted. The accuracy of theseasymptotic approximations is studied in simulations and an illustrationis provided.     

用跳马步系列研究奇素数阶规则完美幻方的个数

本文先介绍跳马步系列的有关概念及性质,然后用跳马步系列研究奇素数阶规则完美幻 方的个数。     

初等树变换的算法改造

本文利用王氏代数对用初等树变换生成树的方法进行了改造,提出了一种新的初等树变换的算法。新算法较之原法简洁、直观、运算方便、概念清楚,并保留了原法的所有优点。     

悬汞电极阴极溶出伏安法测定人发中的痕量硒

本工作用悬汞电极—示波极谱仪研究了Se(Ⅳ)在HClO_4—KI—EDTA底液中的阴极溶出测定的。在选定条件下,Se(Ⅳ)于—0.5V左右产生一灵敏的导数波,灵敏度为5×10~(-10)M(0.04ppb)。Se(Ⅳ)件浓度在1×10~(-7)M～5×10~(-9)M间与峰电流呈良好线性关系。本法用于人发中痕量硒的测定,结果满意。     

改进的投影寻踪分类模型及其在区域经济评价中的应用

作为多元数据的一种分析方法,投影寻踪分类模型已被一些研究者应用到实践中,并取得了良好的效果.然而,投影寻踪分类模型没有严格意义上的分类标准.通过引入有序样本聚类法,可以对投影寻踪分类模型得到的一维投影值进行客观分类.根据改进的模型,对江苏省区域经济的发展进行了综合评价,结果表明:改进的投影寻踪分类模型切实可行,为多元数据分类提供了新途径.