科技查新为企业专利申请“保驾护航”——以吴江梅堰三友染料化工有限公司为例

文章阐述了科技查新在企业专利申请及科技创新中的作用。吴江梅堰三友染料化工有限公司通过科技查新,获得了多项产品的专利所有权,使公司核心竞争力不断提高,业绩逐年攀升。     

煤矿瓦斯和煤尘的监测与控制模型

我国是世界上最大的煤炭生产国,煤炭的安全生产事故是中国重大安全事故之一。本文根据题目中提供的数据及煤炭行业的相关管理规定对我国某煤矿安全问题和控制作了合理分析,给出了解决问题的参考方法。     

从专利信息分析探讨广西生物质能源行业发展策略

人类工业特别是汽车工业的迅猛发展,导致石油、天然气、煤炭等不可再生能源被过度开发使用,世界面临严重的能源危机,因此,寻找新型、可替代能源,成为未来能源战略的关键。随着油价攀升和资源紧缺,作为生物能源发展重点的生物燃料乙醇正越来越成为缓解能源困局的重要手段。广西盛产生物质能源原材料的甘蔗、木薯等农作物,为生物质能源行业的发展提供了得天独厚的条件。文章通过对相关生物质能源中国专利文献进行分析,探讨广西生物质能源行业发展的方向与对策。     

Restructuring Public Transit Systems: Evidence on Cost Properties from Medium and Large-Sized Companies

This paper analyses the cost structure of a sample of local public transport companies operating in medium and large urban centres in Italy in order to identify the proper network configuration for the service. Technological characteristics of public transit systems are analysed by estimating both variable and total cost function models. The evidence shows the presence of short-run and long-run economies of scale, as well as of economies of network density. This suggests that a suitable network design should at least include a large urban centre, while a regulatory policy aimed at fragmenting the served area would imply an efficiency loss.      

Local minimax pointwise estimation of a multivariate density

We consider the problem of the nonparametric minimax estimation of a multivariate density at a given point. A concept of smoothness classes in nonparametric minimax estimation problems is proposed. The smoothness of a function is characterized by the approximability of the function at a point by an integral of the product of this function with an approximate identity. We propose a singular integral estimator, an integral of this approximate identity with respect to the empirical distribution function. Under some assumptions on the approximate identity, the bias of the estimator is shown to be of smaller order asymptotically than the variance, and the estimator itself is shown to be asymptotically locally minimax with respect to the quadratic risk in a proper topology.     

Bayesian prediction with cointegrated vector autoregressions

A complete procedure for calculating the joint predictive distribution of future observations based on the cointegrated vector autoregression is presented. The large degree of uncertainty in the choice of cointegration vectors is incorporated into the analysis via the prior distribution. This prior has the effect of weighing the predictive distributions based on the models with different cointegration vectors into an overall predictive distribution. The ideas of Litterman [Mimeo, Massachusetts Institute of Technology, 1980] are adopted for the prior on the short run dynamics of the process resulting in a prior which only depends on a few hyperparameters. A straightforward numerical evaluation of the predictive distribution based on Gibbs sampling is proposed. The prediction procedure is applied to a seven-variable system with a focus on forecasting Swedish inflation.     

Patent Renewals as Options: Improving the Mechanism for Weeding Out Lousy Patents

This paper examines how patent renewal fees may be restructured to discourage low-value patents with the goal of reducing the burden on patent offices without unduly impairing innovation incentives. We depart from Pakes’ (1986, Econometrica, 54, 755–784) real-option model by moving to an approach involving binomial trees, widely used in valuing financial options. The new approach has the advantage of allowing the dynamics of the patent rent to follow a wide range of stochastic processes. The model is estimated using French data from 1970 to 2002. Policy simulations cast some doubt on the relevance of the current schedule of renewal fees. An alternative fee schedule is suggested.