Little Magazines and Translations

Abstract

Serials and the serials information chain have changed rapidly since the development of the electronic journal. Many recent developments are briefly described, including electronic resource management systems (ERMS) and functional requirements for bibliographic records (FRBR). The constantly changing nature of serials is compared to a psychological midlife crisis.     

环境规制、R&D资本存量与绿色技术创新

科技创新是一个国家经济发展的内生动力。技术创新能力的提升需要持续的R&D投入,而R&D资本存量正是衡量持续研发投入水平的最佳指标。本文基于BEA原理,合理测算出中国大陆30个省区市（西藏除外）的R&D资本存量,并采用省际面板数据,构建空间计量模型,探讨环境规制下R&D资本存量对绿色技术创新的影响机制。研究表明：环境规制与R&D资本存量对绿色技术创新均具有促进作用,但一定强度的环境规制会挤占R&D投入资源,与R&D资本存量的累积发生“负挤出效应”,进而影响绿色技术创新;同时,R&D资本存量、环境规制对中国东部、中部与西部地区的绿色技术创新的影响呈现显著的区域异质性。因此,本文提出了制定差异化的R&D投资和环境规制策略。     

A statistical procedure for representing state fragility and transition paths

State fragility is a concept that entered the political discourse in the last decades producing remarkable implications for aid allocation and international policies. The operationalization of this concept has generated a number of composite indices to produce rankings of fragile states. However, the temporal dimension of the driving forces leading to fragility has been rather neglected. This article discusses a statistical procedure that helps to represent the global fragility of a country and the path that a country has followed or will follow in the future when possibly entering into (or escaping from) a fragility condition. Specifically, multiple factor analysis is applied to depict vulnerable and weak countries, and to identify the fundamental forces that determine their overall fragility. Moreover, the trajectories of countries along the years are estimated using partial factor scores. Finally, the path of each country is predicted by means of parsimonious regression models, based on a reduced set of explanatory variables, and according to scenarios elaborated from available international outlooks.     

Estimation of finite population mean in stratified sampling using scrambled responses in the presence of measurement errors

This study focuses on the estimation of population mean of a sensitive variable in stratified random sampling based on randomized response technique (RRT) when the observations are contaminated by measurement errors (ME). A generalized estimator of population mean is proposed by using additively scrambled responses for the sensitive variable. The expressions for the bias and mean square error (MSE) of the proposed estimator are derived. The performance of the proposed estimator is evaluated both theoretically and empirically. Results are also applied to a real data set.     

Estimation of discrete survival function for error‐prone diagnostic tests

The product limit or Kaplan‐Meier (KM) estimator is commonly used to estimate the survival function in the presence of incomplete time to event. Application of this method assumes inherently that the occurrence of an event is known with certainty. However, the clinical diagnosis of an event is often subject to misclassification due to assay error or adjudication error, by which the event is assessed with some uncertainty. In the presence of such errors, the true distribution of the time to first event would not be estimated accurately using the KM method. We develop a method to estimate the true survival distribution by incorporating negative predictive values and positive predictive values, into a KM‐like method of estimation. This allows us to quantify the bias in the KM survival estimates due to the presence of misclassified events in the observed data. We present an unbiased estimator of the true survival function and its variance. Asymptotic properties of the proposed estimators are provided, and these properties are examined through simulations. We demonstrate our methods using data from the Viral Resistance to Antiviral Therapy of Hepatitis C study.     

Oracle GMM estimation for misspecified models via thresholding

We propose a thresholding generalized method of moments (GMM) estimator for misspecified time series moment condition models. This estimator has the following oracle property: its asymptotic behavior is the same as of any efficient GMM estimator obtained under the a priori information that the true model were known. We propose data adaptive selection methods for thresholding parameter using multiple testing procedures. We determine the limiting null distributions of classical parameter tests and show the consistency of the corresponding block-bootstrap tests used in conjunction with thresholding GMM inference. We present the results of a simulation study for a misspecified instrumental variable regression model and for a vector autoregressive model with measurement error. We illustrate an application of the proposed methodology to data analysis of a real-world dataset.     

Time management as a moderator of relations between stressors and employee strain

The purpose of this study was to examine whether time management behaviours moderated relations between stressors (role conflict, role overload, work-family conflict, and family-work conflict) and strain, as measured by scores on the General Health Questionnaire. It was predicted that use of time management behaviours would be negatively associated with strain. These relations, however, were expected to be mediated by feelings of control over time. It was further predicted that the use of time management behaviours would attenuate stressor-strain relations. Data collected from 525 employed men and women indicated, as predicted, that use of time management behaviours was negatively associated with strain. These relations were partially mediated by feelings of control over time. Moderator tests failed to provide support for time management behaviour as a moderator of stressor-strain relations. Implications of findings are discussed and future directions for time management research are suggested.     

微观与宏观交易费用测量的进展及其关系研究

交易费用测量包括微观和宏观两个层次,微观层次又分为市场型、管理型和政治型交易费用测量。宏观层次即是对一国(或地区)总量交易费用的测量。在总量交易费用测量上,沃利斯和诺思1986年提出的交易行业测量法具有一定的开创性。依据该方法测量总量交易费用会发现,经济越发达,总量交易费用占GNP的比重越大,而每笔交易的交易费用越低。反之则反是。这就提出一个问题,即:总量交易费用和每笔交易的交易费用是否就是这种反比关系?要搞清这二者的关系,关键是必须将理论上的和测量到的总量交易费用两个概念区分开。事实上,理论上的总量交易费用和每笔交易的交易费用并非反比关系。     

基于碳排放视角的区域效率及其影响因素分析——低碳城市的一个测度

低碳城市建设是当前中国城市发展的重要课题,而城市低碳经济发展水平的测度则是其中的一个重要环节。本文基于碳排放视角,选择代表性国家(地区)和城市样本进行比较研究,将碳排放数量这一非期望产出变量作为投入进行处理,在科学设计DEA计量模型基础上,通过对区域整体效率及其影响因素进行实证分析,实现对低碳城市建设水平的测度,并据此进行结论分析,研究提出若干启示性建议。     

后金融危机时代公允价值计量在我国的应用

在后金融危机时代,公允价值的计量问题给我们留下了广泛的思考空间。从金融危机中各方对公允价值的争议出发,通过对公允价值的背景、定义、计量方法的回顾及其优劣势的分析,在肯定公允价值计量的基础上,提出了相应的改进意见。