中国CPI和PPI之间的协整分析

本文通过单位根检验、协整检验、误差修正模型和格兰杰检验这一系列计量检验方法,对我国CPI和PPI之间的关系进行了分析,结果表明:CPI和PPI之间存在长期均衡关系。     

专利产出与区域经济增长的动态关联机制分析

运用动态计量经济学的分布滞后模型、单位根检验模型、协整分析模型和Granger因果检验模型,以及专利产出与经济增长数据,对首都区域专利产出与经济增长关联机制进行了动态计量经济实证分析.结果显示:首都地区专利产出与经济增长当前及之后具有两期的关联性,平均来讲,专利产出每增加1%,首都区域经济当年将增长0.4923%,专利产出在3年内共使得经济增长了0.9847%;专利产出增长与GDP增长存在长期稳定的动态均衡关系,但是其对首都地区经济增长促进作用还不够;专利产出是经济增长Granger意义上的原因,但专利产出没有有效地促进首都区域经济增长,二者之间没有形成一种协调互动的反馈机制.     

基于厚尾时间序列的贝叶斯单位根检验

本文运用贝叶斯因子和可信区间两种方法来研究厚尾时间序列中单位根检验问题．通过Monte Carlo模拟证实了这两种方法的有效性,并对两种方法进行对比和分析．然后,考察了先验信息和自由度对单位根检验结果的影响．最后,将这两种方法运用到检验美国失业率和居民消费物价指数时间序列中,发现这两列序列均存在单位根．     

台湾技术标准对福建省技术创新影响的实证研究

首先从理论层面分析台湾技术标准对福建省技术创新水平的影响途径，接着基于福建省和台湾的经验数据，利用协整检验及格兰杰因果检验方法对二者之间的长期均衡关系进行实证分析，为相关政策与制度的制定提供参考依据。     

协整系数矩阵的非平稳工程系统故障诊断应用研究

对于非平稳工程系统,若系统变量是一阶单整的,则可以建立变量间的协整关系模型,通过理论分析证明,协整系数矩阵可作为故障空间的特征参数用作系统的故障诊断。非平稳系统变量首先要通过单位根检验以证明其一阶单整,然后使用Johansen检验法估计出协整系数矩阵,即特征参数,使用一对多分类的支持向量机(SVM)算法进行故障数据的训练和测试。使用液压舵面故障仿真系统作为试验平台,使用输入指令、舵面角度等5个一阶单整的系统变量作为协整变量,其估计出的协整系数矩阵作为特征参数,结果表明协整系数矩阵作为特征参数,SVM作为数据分类方法,具有很好的故障分类效果。     

标准化对经济增长的影响路径分析

标准化可以通过直接或间接的方式影响经济增长的速度,以及经济增长的质量。本文采用时间序列数据平稳性检验、协整检验和格兰杰因果检验方法,以国家标准存量代表标准化发展水平,研究标准化对经济增长的影响路径,并分析其中的因果关系。     

标准化对经济增长的影响路径分析

标准化可以通过直接或间接的方式影响经济增长的速度,以及经济增长的质量。本文采用时间序列数据平稳性检验、协整检验和格兰杰因果检验方法,以国家标准存量代表标准化发展水平,研究标准化对经济增长的影响路径,并分析其中的因果关系。     

外商直接投资与中国经济增长的实证分析

本文在简单回顾我国利用外商直接投资历程的基础上,运用我国1987—2007年度的外商直接投资和经济增长数据进行了时间序列的平稳性检验,协整检验和因果关系检验并建立了误差修正模型;结果表明：我国经济增长与外商直接投资之间存在长、短期稳定的正向关系。     

压电阻抗损伤识别温度影响的协整消除方法研究

近年来结构健康监测与损伤识别研究中广泛采用压电高频机电阻抗方法(EMI)。由于环境温度变化也会使阻抗谱产生频移和幅值变化,甚至淹没结构损伤对阻抗谱的影响,造成损伤误报。因此提出了一种基于协整处理阻抗谱的方法,以消除长期监测过程中环境温度变化的影响。分析了阻抗谱中协整向量的构造原理,利用ADF检验和Johansen检验确定其不平稳阶数,将温度变化影响下不平稳的阻抗谱峰值频率时间序列协整为一个平稳的余量序列。利用压电片高频主动激励进行了钢板在温度变化工况下模拟损伤的EMI检测识别实验。实验结果表明,结构损伤导致平稳的协整余量序列发生突变,准确表征了结构损伤的发生,验证了阻抗谱协整处理环境温度变化方法的有效性。     

在不同采样情况下的替代数据检验方法研究

替代数据方法是由零假设和检验统计量两部分组成.其中检验统计量是度量时间序列某些特性的数字量,它可以检验零假设在置信度范围内是否成立.目前,基于简单算式作检验统计量的替代数据检验方法在检验非线性时间序列的非线性成份时,对采样间隔有所敏感,通常在过采样的情况下,会给出虚假的结果.本文利用不同采样情况下的混沌时间序列对替代数据检验方法进行了研究,研究表明在过采样情况下用关联维数作检验统计量可得到较好的结果,但检验所需时间很长.     

Profitability decided by patent quality? An empirical study of the U.S. semiconductor industry

The investment in research and development (R&D) for semiconductor industry is never small as the technology cycle time (TCT) is relatively short comparing to other industries, thus a semiconductor company requires lots of technological innovations and capital offerings to maintain. The semiconductor industry contributes primarily part of the micro-electronic industries. Advancing technology and patent application are the centre of attention within the semiconductor sector. This research examines the relationship between patent quality and the profits a patent creates for a company in this selected field. This study distinguishes itself from prior research by including cross-sectional data, time series data to simultaneously collect and analyze. The study result shows that some indicators of patent quality are statistically significant to return on assets.     

A window on the Israeli patent scene

In the last 15–20 years Israel has turned into a beehive of innovation and entrepreneurship. This article focuses on what was achieved and how the Information Professional can find and monitor these innovations. The main areas of innovation in Israel are high-tech, biotechnology, medical devices, irrigation, etc. Other topics are the role of start-ups and venture capital, IP strategy of Israeli companies, the Israeli Patents, Designs and Trademarks Office, how Israeli patents are published and how to obtain Israeli patents and documents.     

The Difference Effect of Environmental Regulation on Two Stages of Technology Innovation in China’s Manufacturing Industry

This paper divides technological innovation into two stages: technology development and technology transfer. Then the authors use the panel data of 28 manufacturing industries during 2003–2012 to test the econometric regression model for the industry of the sub stages, which is a regulation on technological innovation in the environment. The results show that: (1) environmental regulation has a significant role in promoting China’s manufacturing technology research patent achievements, and technology into new products, and this indicated that “Porter hypothesis” in the manufacturing sector has been verified; (2) R&D and transfer expenditure have a positive impact on technological innovation. Finally, the authors put forward the corresponding policy recommendations for industry of the environmental regulation on the impact of technological innovation in phases.     

创新 风险与我国风险投资管理

由于市场不确定性的影响，风险投资管理迅速兴起，尤其在美国兴起并在全球发展，我国自20世纪80年代开始发展风险投资，对我国工程技术的发展起到很大作用，但也出现了一些的问题。     

Time relations between scientific production and patenting of knowledge: the case of nanotechnologies

Nanosciences and nanotechnologies are considered important for the development of science, technology and innovation, and the study of their characters can be a great help to the decisions of policy makers and of practitioners. This work is centred on the issue of the time relations between science and technology/innovation, and in particular on the speed of transfer of science-generated knowledge towards its exploitation in patenting. A methodology based on patent citations is used in order to measure the time lag between cited journal articles and citing patent, and thus the time proximity between the two steps. Keywords regarding nanotechnology/nanoscience items are searched in order to collect data useful for the analysis. Collateral measures, performed on another class of materials and on the spatial origin of citing/cited documents, help giving evidence of the peculiarity of the behaviour and on its nature. The most representative time lag between production of scientific knowledge and its technological exploitation appears being around 3–4 years.     

专利地图与TRIZ融合技术创新指标体系构建及影响因素分析

梳理专利地图与TRIZ融合技术创新的流程,构建其影响因素指标体系。应用粗糙集理论识别专利地图与TRIZ融合技术创新的关键影响因素,并进行实证研究。研究结果表明,粗糙集方法在定量分析处理模糊和不确定性知识方面具有优越性;且在运用专利地图与TRIZ融合技术创新方法进行技术创新时,专利数据源准确性、完整性,专利分析结果有效性和技术创新经济效益是影响企业技术创新的关键因素,研究结果符合企业技术创新实际情况。     

NEW ECONOMY INNOVATION SYSTEMS: BIOTECHNOLOGY IN EUROPE AND THE USA

It is proposed that developments in the commercialization of science and technology in "new economy" sectors such as telecommunications, information technology and biotechnology presage a new kind of systemic innovation. This is both regionalized and localized around hubs of knowledge-driven entrepreneurship, and subject to extremely rapid exploitation in consequence of search and invest activities of corporate venturing arms of large firms, venture capitalists and business angels. The millennium meltdown of Internet stocks has brought caution but also learning gains to new economy investors, but the underlying model remains robust. Unlike the typical European regional innovation system, which is supported by extensive public sector enterprise support activities, "New Economy Innovation Systems" are far less dependent on public enterprise support intervention. Learning this new, rapid mode of exploitation is essential if commercialization gaps between Europe and North America are to be reduced. The key questions concern the appropriate role of public innovation support, the commercialization advantages and limits of venture capital, and the prospects for the new approach in less-favoured regional settings.     

An analysis of the effects of artificial intelligence on electric vehicle technology innovation using patent data

This study empirically analyzes the effects of artificial intelligence (AI) on electric vehicle technology innovation by employing a machine learning-based text mining model and the international patent classification (IPC) co-occurrence network analysis, using patent data filed from 1980 to 2017. Based on artificial intelligence algorithms classified, the study demonstrates the dynamic changing pattern of the convergence of artificial intelligence and electric vehicle technology and reveals how artificial intelligence has affected electric vehicle technology innovation over time. This study reveals that artificial intelligence accelerates the automation of electric vehicle driving, and that artificial intelligence algorithms that are widely used in electric vehicles have changed over time, and that technology areas of electric vehicles that AI affects also have been changed.