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.     

The Case of the Missing Pollution Haven Hypothesis

One particularly vexing puzzle for economists and policymakers over the past several decades concerns the empirical significance of the theoretically predicted pollution haven hypothesis. While neoclassical theory and conventional wisdom both surmise that local economies will suffer deleterious effects from stricter environmental regulations, empirical studies have largely failed to validate such claims. This study utilizes the method of matching to show that the impact of stricter regulation is heterogeneous spatially, varying systematically based on location-specific attributes. Previous studies that assume a homogenous response may therefore inadvertently mask the overall impact of more stringent regulations by pooling unaffected and affected regions.JEL Classification: Q25, Q28, H00, L51, R1The authors wish to thank to Michael Crew, Anthony Heyes, an anonymous referee, Werner Antweiler, Randy Becker, Wayne Gray, Shelby Gerking, Michael Greenstone, Vern Henderson, and Arik Levinson. Participants at various university seminars and conferences also lent useful insights to this line of research.     

城镇标准地块定位技术探讨

根据重庆市建立标定地价体系的科学实践．提出城镇标准地块空间定位的技术途径为：从分析土地级别内各定级单元土地质量空间分布规律或房地产市场价格空间分布规律入手，采用定级单元总分平衡法和房地产市场价格平衡法确定标准单元，依据功能特征评价成果将标准地块定位。     

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.     

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。     

上市公司股权集中度影响因素实证分析

本文以上市公司数据为样本,采用主成分法、逐步回归、方差分析等多种分析方法对我国上市公司股权集中度影响因素进行了实证分析。结果表明,上市公司股权集中度的主要影响因素为持股主体、行业分布和规模,在此基础上还对我国上市公司的治理提出了建议。