民营企业全面预算管理问题研究

民营企业为国民经济做出了巨大的贡献,是我国经济体系中不可或缺的一部分,但是民营企业发展中存在一些问题,例如管理不科学、缺乏预算管理体系等。文章就民营企业如何构建全面预算管理体系才能合理配置资源、提高经济效益做了一些探讨。     

One‐sample and two‐sample analysis of heterogeneous person–time data in clinical trials

In this paper, we investigate the performance of different parametric and nonparametric approaches for analyzing overdispersed person–time–event rates in the clinical trial setting. We show that the likelihood‐based parametric approach may not maintain the right size for the tested overdispersed person–time–event data. The nonparametric approaches may use an estimator as either the mean of the ratio of number of events over follow‐up time within each subjects or the ratio of the mean of the number of events over the mean follow‐up time in all the subjects. Among these, the ratio of the means is a consistent estimator and can be studied analytically. Asymptotic properties of all estimators were studied through numerical simulations. This research shows that the nonparametric ratio of the mean estimator is to be recommended in analyzing overdispersed person–time data. When sample size is small, some resampling‐based approaches can yield satisfactory results. Copyright © 2012 John Wiley & Sons, Ltd.     

ROBUST ESTIMATION OF SMALL‐AREA MEANS AND QUANTILES

Small‐area estimation techniques have typically relied on plug‐in estimation based on models containing random area effects. More recently, regression M‐quantiles have been suggested for this purpose, thus avoiding conventional Gaussian assumptions, as well as problems associated with the specification of random effects. However, the plug‐in M‐quantile estimator for the small‐area mean can be shown to be the expected value of this mean with respect to a generally biased estimator of the small‐area cumulative distribution function of the characteristic of interest. To correct this problem, we propose a general framework for robust small‐area estimation, based on representing a small‐area estimator as a functional of a predictor of this small‐area cumulative distribution function. Key advantages of this framework are that it naturally leads to integrated estimation of small‐area means and quantiles and is not restricted to M‐quantile models. We also discuss mean squared error estimation for the resulting estimators, and demonstrate the advantages of our approach through model‐based and design‐based simulations, with the latter using economic data collected in an Australian farm survey.     

Using adaptive weighted least squares to reduce the lengths of confidence intervals

The author proposes an adaptive method which produces confidence intervals that are often narrower than those obtained by the traditional procedures. The proposed methods use both a weighted least squares approach to reduce the length of the confidence interval and a permutation technique to insure that its coverage probability is near the nominal level. The author reports simulations comparing the adaptive intervals to the traditional ones for the difference between two population means, for the slope in a simple linear regression, and for the slope in a multiple linear regression having two correlated exogenous variables. He is led to recommend adaptive intervals for sample sizes superior to 40 when the error distribution is not known to be Gaussian.     

从财政体制上看河南省乡级财力匮乏的成因与对策

本文针对我省目前乡级财力匮乏的现状,主要从我国目前的财政体制、财政管理的机制以及税收等方面努力探讨其成因。根据我省财政管理的改革实践,必须从建立和健全乡级财政体制、完善乡级财政管理体制、强化税收征管以及精简机构等多方面入手,才能扭转乡级财力匮乏的现状,使乡级财政为基层政权的稳定、经济的持续发展发挥应有的作用。     

The institutionalization of knowledge transfer activities within industry–university collaborative ventures

Due to the changing competitive landscape, organizations must increasingly focus on acquiring external knowledge to advance new technologies. This study examines the institutionalization of knowledge transfer activities between industrial firms and university research centers. Data were collected from 189 firms collaborating with 21 university research centers in the US. Results show that knowledge transfer activities are facilitated when industrial firms have more mechanistic structures, cultures that are more stable and direction-oriented, and when the firm is more trusting of its university research center partner. Implications for both industry and universities, including their effect on firm performance, are discussed.     

Re-inscribing Gender in New Modes of Medical Expertise: The Investigator-Coordinator Relationship in the Clinical Trials Industry

This article analyses the ways in which research coordinators forge professional identities in the highly gendered organizational context of the clinic. Drawing upon qualitative research on the organization of the clinical trials industry (that is, the private sector, for profit auxiliary companies that support pharmaceutical drug studies), this article explores the relationships between predominantly male physician-investigators and female research coordinators and the constitution of medical expertise in pharmaceutical drug development. One finding is that coordinators actively seek to establish relationships with investigators that mirror traditional doctor-nurse relationships, in which the feminized role is subordinated and devalued. Another finding is that the coordinators do, in fact, have profound research expertise that is frequently greater than that of the investigators. The coordinators develop expertise on pharmaceutical products and diseases through their observations of the patterns that occur in patient-participants' responses to investigational drugs. The article argues, however, that the nature of the relationships between coordinators and investigators renders invisible the coordinators' expertise. In this context, gender acts as a persistent social structure shaping both coordinators' and investigators' perceptions of who can be recognized as having authority and power in the workplace.     

Examining the Relationship between Domestic Violence and Depression among Koreans: The Role of Self‐esteem and Social Support as Mediators

Domestic violence is a prevalent social issue in Korea affecting a significant number of people every day. It is thus important to examine how the experience of domestic violence affects their mental health to better address their needs. Using stress‐coping theory as a theoretical framework, this study examines the domestic violence and depression relationship among Korean men and women. Two aspects of self‐esteem and informal and formal social support are examined as potential mediators of this relationship. The data was the first wave of Korean Welfare Panel Study data including 2477 individuals with experiences of abuse. Structural equation modeling procedures were used for analyses. Domestic violence was significantly associated with self‐worth, self‐deprecation, and depression. The experiences of violence eroded self‐worth while reinforcing self‐deprecation and those with more exposure to violence showed a higher level of depression. Self‐deprecation played a significant role in mediating the effect of domestic violence on depression. However, different findings were yielded for social support. While informal social support was significantly associated with domestic violence, formal social support was not associated with domestic violence. Findings suggest for mental health interventions targeting self‐esteem, particularly the diminution of self‐deprecation in working with the victims. Suggestions for future research and implications for social work are also discussed.     

Estimation in capture–recapture models when covariates are subject to measurement errors and missing data

For capture–recapture models when covariates are subject to measurement errors and missing data, a set of estimating equations is constructed to estimate population size and relevant parameters. These estimating equations can be solved by an algorithm similar to the EM algorithm. The proposed method is also applicable to the situation when covariates with no measurement errors have missing data. Simulation studies are used to assess the performance of the proposed estimator. The estimator is also applied to a capture–recapture experiment on the bird species Prinia flaviventris in Hong Kong. The Canadian Journal of Statistics 37: 645–658; 2009 © 2009 Statistical Society of Canada     

The Effects of E-journal Management Tools and Services on Serials Cataloging

Abstract

E-journal management tools and services such as MARC record services, A-to-Z lists, and link resolvers are changing e-journal cataloging. This column explores these changes in the academic environment through interviews with ten librarians representing eight universities. Three areas of change in serials cataloging are explored: (1) changes to the MARC record, including how libraries are adding/creating MARC records for their catalogs, the number and type of MARC records being created and linking within MARC bibliographic and holdings records; (2) the manner in which serials catalogers are being informed of changes; and (3) the evolving role of the serials cataloger. Future trends and advice for evolving workflow practices conclude the discussion.