人力资本理论发展综述

人力资本思想起源于对人的经济价值的研究,人力资本概念被正式纳入主流经济学,标志着人力资本理论的形成。随着知识经济时代的来临,人力资本将成为未来经济发展的发动机。     

城镇数字化地产评估系统及应用

城镇数字化地产评估系统是以“城市土地定级估价综合模型”作为主要评估方法 ,针对中小城镇地产评估的实际情况 ,基于Map/info平台 ,将多种应用程序集成而开发出来的。经实际使用 ,该系统操作简便 ,经济适用。     

试论我国自主创新中的知识产权保护对策

在我国实现经济可持续发展中,加强自主创新的能力和重视知识产权的保护工作同等重要.针对目前我国知识产权保护现状存在的问题,企业应在自主创新中,提高知识产权保护意识;提倡自主开发和引进并重;加强国际合作与交流.     

中国经济改革与增长中的金融支持

中国的金融制度变迁也服从了渐进改革的“过渡性”逻辑 ,渐进战略较好地支持了中国 2 0年的经济增长。但是 ,由于“双轨”体制的固有矛盾 ,使中国的金融改革在今天聚集到了深层次的金融改革上 ,而这一问题的核心是多元化的金融产权关系。中国加入WTO成为中国金融深化改革的契机。摆在面前的来自外部世界的竞争 ,成为推进中国金融业“对内开放”的巨大的外部冲击     

对智能建筑规范化操作的思考

作通过对数项目程中的弱电工程的监理经验总结，提出了对智能建筑实行规范化操作的具体建议。     

浅谈我国化学工业园区的筹建和开发

通过参与化学工业区开发，对化工园区筹建和开发，包括化工园区的选址、定位及开发过程的一些实际操作提出了建议。     

Term Structures in the Office Rental Market in Stockholm

This paper contains an empirical study of the rental term structure in a property market that included a dramatic boom and bust cycle. The study is applied to office leases in commercial properties located in Stockholm CBD, Sweden. The time period under study is 1977–1991. The number of observations (lease contracts) that we were able to make full use of in the regression analyses is n=861. For seven out of fifteen years studied, a significant term structure was observed. The estimated hedonic rent equation was also used to construct an office rental index.     

A Semiparametric Method for Valuing Residential Locations: Application to Automated Valuation

This paper is motivated by automated valuation systems, which would benefit from an ability to estimate spatial variation in location value. It develops theory for the local regression model (LRM), a semiparametric approach to estimating a location value surface. There are two parts to the LRM: (1) an ordinary least square (OLS) model to hold constant for interior square footage, land area, bathrooms, and other structural characteristics; and (2) a non-parametric smoother (local polynomial regression, LPR) which calculates location value as a function of latitude and longitude. Several methods are used to consistently estimate both parts of the model. The LRM was fit to geocoded hedonic sales data for six towns in the suburbs of Boston, MA. The estimates yield substantial, significant and plausible spatial patterns in location values. Using the LRM as an exploratory tool, local peaks and valleys in location value identified by the model are close to points identified by the tax assessor, and they are shown to add to the explanatory power of an OLS model. Out-of-sample MSE shows that the LRM with a first-degree polynomial (local linear smoothing) is somewhat better than polynomials of degree zero or degree two. Future applications might use degree zero (the well-known NW estimator) because this is available in popular commercial software. The optimized LRM reduces MSE from the OLS model by between 5 percent and 11 percent while adding information on statistically significant variations in location value.     

Buyer-Type Effects in Conservation and Preservation Property Values

Properties can be bought by government agencies, land trusts, or private entities for conservation and preservation purposes, such as farmland preservation, wildlife refuges, other conservation, and cultural and historical preservation. There is variation in the dollars paid per acre across properties and across buyer type. An option value model based on future potential land uses is used to explain much of this variation. The data used in our analysis is sales transactions data for conservation and preservation purposes from throughout the United States. We find that much of the value of conservation properties is derived from future potential land uses, including housing, timber, recreation, and conservation. We confirm that public versus private buyers value options differently, which makes sense from a public good point of view, if markets are thin.     

The Announcement Effect of an Airport Expansion on Housing Prices

The purpose of this study is to examine the influence of the announcement of a new airport hub on housing prices near the airport. While numerous studies of airport noise have found that high noise levels reduce property values, few have been able to measure the announcement effect on values. The results indicate that after controlling to extraneous influences, housing property prices in a 2.5 mile band from the Greensboro/High Point/Winston Salem metropolitan airport declined approximately 9.2% in the post-announcement period. In the next 1.5-mile band, house prices declined approximately 5.7% in the post-announcement period.