区域和谐与地方政府区际行政行为创新研究

区际行政行为研究,针对的是地方政府行为中与其他地区有互动关系,对其他地区具有影响作用的一部分行为,地方政府区际行政行为的合作与否,直接关系区域之间的和谐共荣。当前,扭曲的区际行政行为设立起无形的行政壁垒,已经成为制约区域经济一体化的瓶颈,弹奏着区域发展的不和谐音符。分析地方政府博弈心理,认为地方政府区际行政行为创新是促进区域和谐发展的有效"解决之道"。     

一类特殊模的自同态环

本文讨论了相对投射模的自同态环,得出了M一投射模P的Jacobson根为其小子模且P直不可分解时,其自同态环是局部环.     

金融竞争、相对资本深化与地区经济效率

 与国内外大多从财政收支角度来研究地区的策略性竞争行为不同,本文通过建立空间计量模型检验了我国地区间金融策略性行为,通过构造相对资本深度指标研究了这种背景下地区资本深化对经济效率的影响。研究表明,地区之间的金融策略性竞争行为具有显著的阶段性特征,在很大程度上受地方财政资源充裕程度的影响;从平均意义上来看,全国总体的金融配置并不符合各地资源禀赋结构所决定的最优相对资本深度,存在效率损失,但在不同区域和不同阶段存在显著的差异。因此,合理引导地方政府行为以及有效协调财政金融体制改革对于促进地方金融健康发展进而提升区域经济效率具有深远的意义。     

Estimating and testing effect size from an arbitrary population

In this article, we develop inference tools for an effect size parameter in a paired experiment. A class of estimators is defined that includes natural, shrinkage and shrinkage preliminary test estimators. The shrinkage and preliminary test methods incorporate uncertain prior information on the parameter. This information may be available in the form of a realistic guess on the basis of the experimenter’s knowledge and experience, which can be incorporated into the estimation process to increase the efficiency of the estimator. Asymptotic properties of the proposed estimators are investigated both analytically and computationally. A simulation study is also conducted to assess the performance of the estimators for moderate and large samples. For illustration purposes, the method is applied to a data set.     

Estimating the error distribution function in semiparametric additive regression models

We consider semiparametric additive regression models with a linear parametric part and a nonparametric part, both involving multivariate covariates. For the nonparametric part we assume two models. In the first, the regression function is unspecified and smooth; in the second, the regression function is additive with smooth components. Depending on the model, the regression curve is estimated by suitable least squares methods. The resulting residual-based empirical distribution function is shown to differ from the error-based empirical distribution function by an additive expression, up to a uniformly negligible remainder term. This result implies a functional central limit theorem for the residual-based empirical distribution function. It is used to test for normal errors.     

Local power properties of some asymptotic tests in symmetric linear regression models

In this paper we obtain asymptotic expansions, up to order n^−1/2 and under a sequence of Pitman alternatives, for the nonnull distribution functions of the likelihood ratio, Wald, score and gradient test statistics in the class of symmetric linear regression models. This is a wide class of models which encompasses the t model and several other symmetric distributions with longer-than normal tails. The asymptotic distributions of all four statistics are obtained for testing a subset of regression parameters. Furthermore, in order to compare the finite-sample performance of these tests in this class of models, Monte Carlo simulations are presented. An empirical application to a real data set is considered for illustrative purposes.     

Optimal designs for tumor regrowth models

Most growth curves can only be used to model the tumor growth under no intervention. To model the growth curves for treated tumor, both the growth delay due to the treatment and the regrowth of the tumor after the treatment need to be taken into account. In this paper, we consider two tumor regrowth models and determine the locally D- and c-optimal designs for these models. We then show that the locally D- and c-optimal designs are minimally supported. We also consider two equally spaced designs as alternative designs and evaluate their efficiencies.     

Using local linear kernel smoothers to test the lack of fit of nonlinear regression models

Herein, we propose a data-driven test that assesses the lack of fit of nonlinear regression models. The comparison of local linear kernel and parametric fits is the basis of this test, and specific boundary-corrected kernels are not needed at the boundary when local linear fitting is used. Under the parametric null model, the asymptotically optimal bandwidth can be used for bandwidth selection. This selection method leads to the data-driven test that has a limiting normal distribution under the null hypothesis and is consistent against any fixed alternative. The finite-sample property of the proposed data-driven test is illustrated, and the power of the test is compared with that of some existing tests via simulation studies. We illustrate the practicality of the proposed test by using two data sets.     

地方性知识与现代专业知识的结合——一个傣族村寨防控新冠肺炎疫情的经验

新型冠状病毒肺炎疫情期间,基于一个西双版纳傣族村寨的田野考察,收集西双版纳各级政府、防疫部门及普通民众应对新型冠状病毒肺炎疫情威胁所采取的策略和措施,从中观察傣族民众对新型冠状病毒肺炎疫情的相关认知、行为和心理反应,揭示在此次抗击疫情的实践中,从疫情危机中孕育焕发的集体生存意识以及地方性知识与现代流行病防控专业知识相结合所发挥的重要作用。同时,从人类学视角对边疆民族地区应对这一重大疫情危机的过程进行考察,从而提供有价值的民族志文本。     

Effects of Organizational Environment,Internal Structure,and Team Climate on the Effectiveness of Local Emergency Planning Committees1

This study proposed and tested a model of factors influencing the effectiveness of Local Emergency Planning Committees (LEPCs). Data were collected from the chairs of Michigan LEPCs, who were asked to provide information about their LEPCs’staffing, activities, resources, and team climate, as well as information about community hazards and relationships with other organizations in their communities. The model was partially supported. As hypothesized, team climate substantially mediated the relationships between an LEPCs effectiveness and many of the attributes of its internal structure and external environment. In addition, three (emergency planning resources, community support and LEPC staffing and structure) out of four categories of variables hypothesized to influence team climate were, in fact directly related to it. There were two major inconsistencies with the model. First, two types of emergency planning resources were found to have a direct influence on LEPC effectiveness rather than an indirect effect mediated by team climate. In addition, hazard vulnerability was hypothesized to have a direct effect on team climate, but the data showed this relationship was mediated by community support and by LEPC staffing and structure. A revised model was proposed that suggests ways in which members can change the structure of an LEPC and strategies to enhance its effectiveness.