Government Consumption and Industrial Productivity: Scale and Compositional Effects

Within a production function framework in which government spending produces public goods which enter firms production functions, empirical tests using time series data spanning eleven countries and thirty industries find both the scale and the composition of government consumption spending to affect the level and the rate of growth of total factor productivity at the industry level.Jel Classification: H50, D24     

On exact D-optimal designs with 2 two-level factors and n autocorrelated observations

In this paper we consider the exact D-optimal designs for estimation of the unknown parameters in the two factors, each at only two-level, main effects model with autocorrelated errors. The vector of the n random errors in the observed responses is assumed to follow a first-order autoregressive model (AR(1)). The exact D-optimal designs seek the optimal combinations of the design levels as well as the optimal run orders, so that the determinant of the information matrix of BLUEs for the unknown parameters is maximized. Bora-Senta and Moyssiadis (1999) gave some conjectures about the exact D-optimal designs based on their experience of several exhaustive searches. In this paper their conjectures are partially proved to be true.Received: January 2003 / Accepted: October 2003Partially supported by the National Science Council of Taiwan, R.O.C. under grant NSC 91-2115-M-008-013.Supported in part by the National Science Council of Taiwan, R.O.C. under grant NSC 89-2118-M-110-003.     

Productivity Growth, Efficiency and Outsourcing in Manufacturing and Service Industries

This paper is a survey of recent contributions to, and developments of, the relationship between outsourcing, efficiency and productivity growth in manufacturing and services. The objective is to provide a thorough and up–to–date survey that provides a significant discussion on data, as well as on the core methods of measuring efficiency and productivity. First, the readers are introduced to the measurement of partial and total factor productivity growth. Different parametric and non–parametric approaches to the productivity measurement in the context of static, dynamic and firm–specific modelling are discussed. Second, we survey the econometric approach to efficiency analysis. The issues of modelling, distributional assumptions and estimation methods are discussed assuming that cross–sectional or panel data are available. Third, the relationship between outsourcing and productivity growth in manufacturing and services is discussed. The correspondence between a number of hypotheses and empirical findings are examined. Examples of varieties of relevant empirical applications, their findings and implications are presented. Fourth, measurement of inputs and outputs in manufacturing and services are discussed. Finally, to promote useful research, a number of factors important to the analysis of outsourcing, efficiency and productivity growth in the service sector are summarised.     

创业投资退出方式的选择及影响因素研究综述

创业投资的成功退出有利于实现创业资本的循环发展。对与国外创业投资退出方式的选择相关的研究进行了回顾,内容涉及各种退出方式的比较与选择、不同国家退出方式选择受制度体系的影响以及同一国家退出方式选择受契约安排的影响。最后结合目前国内对创业资本退出的研究现状,对今后的研究方向进行了展望。     

要素流动粘性、制度竞争与区域经济均衡

要素流动粘性是导致区域经济非均衡的一项重要原因。随着技术的进步，要素流动粘性正在出现减弱的趋势。区域制度竞争是克服要素流动粘性的有效方式。政府在降低要素流动粘性、促进区域经济均衡发展方面能够发挥重要的作用。     

中国西部房地产业综合竞争力评价

采用层次分析法和因素分析法对西部房地产业综合竞争力进行评价,得知各个省市区发展不均衡,四川、重庆、新疆、云南竞争力较强,陕西、广西、内蒙古、贵州、甘肃和宁夏竞争力一般,而青海和西藏竞争力最弱.应合理规划房地产市场的发展.     

贵州省县域经济的综合评价

运用因子分析法可对贵州省2003年县域经济的综合指标进行评价.其过程是:通过SPSS统计软件进行计算和分析,以斜交旋转后的综合因子得分作为县域经济综合实力的度量,给出贵州省2003年各区县的综合实力排序以及等级划分情况并做出相应的评价.     

浅析体育教学中的教师主导作用与学生主体地位

在教学中，教师的主导作用发挥的越充分，越能调动学生的积极性和主动性，学生的主体作用发挥的越充分，就越能体现教师的主导作用。两者密切结合，相辅相成，不但有利于全面提高教学质量，而且有利于全面提高学生的健康水平和身体素质，更好地完成体育教学任务。     

我国物流市场的区域差异分析

首先运用因子分析法对我国31个省（区、市）物流市场的差异作了分析，得出3个主要因子。然后以这3个主要因子为新变量，采用聚类分析法将31个省（区、市）分为5个层次，分别代表不同的物流需求程度。最后结合我国物流市场的实际情况加以定性分析。     

基于模糊层次分析法的企业人力资源风险因素评价

文章结合三角模糊数和层次分析法,以企业外部环境、内部环境及人力资源个人3个方面的11个因素为指标体系,建立模糊层次分析模型,采用三角模糊数表示专家的判断信息,加权平均综合多名专家意见,利用层次分析法对专家判断结果进行处理从而得出各个评价因素的相对权重的大小,并举例说明了模型的应用。