区域专利产出水平评价指标体系及其实证研究

为了使区域专利产出水平评价更具客观性、实用性和指导性,从专利指标的自身特点和指标设计原则出发,运用系统分析的方法,分析了反映专利产出水平评价的主要因素,从专利产出数量和专利产出质量两方面进行考虑,设计出了专利产出水平评价指标体系,并对我国部分城市专利产出水平评价进行了实证研究。     

基于因子分析的我国34省市专利发展实证研究

专利的定量研究对于完善地区专利决策、提高地区专利发展水平具有重要意义。运用因子分析方法,对我国34个省、市、自治区、直辖市的专利发展情况进行实证研究。结果表明,地区专利发展水平与经济发展具有一定的关系,但是,这种关系是相对而非绝对的,不同地区具有不同的比较优势,整体水平相同的地区,其优势可能不同,而整体水平不同的地区,其优势却可能相同。     

吉林省民生发展进程综合分析——基于因子分析法

当前,关注民生、重视民生、保障民生、改善民生已成为中国共产党的工作重点,各级地方政府都把解决民生问题当做头等大事来抓.吉林省近年民生发展状况如何?本文运用因子分析方法对近年来吉林省民生发展状况从多个方面进行了综合评价,结合国民经济发展实际分析民生发展存在的问题并得出相应结论.     

基于因子分析的江苏省13城市医疗发展水平的实证研究

近年来,江苏省医疗发展水平有了显著地提高,但仍存在一定的问题.利用多元统计方法对江苏省13城市2009年的相关数据进行因子分析,发现江苏省各地区医疗发展水平的极不均衡.在此数据进行相关分析的基础上,为江苏省医疗卫生事业的持续发展提供相应的理论和实证依据.     

全国视角下的河北省金融业发展水平比较分析

利用因子分析和聚类分析方法,对全国31个省（市、自治区）金融业的发展水平进行分类和排名,并据此对河北省金融业的发展状况进行了定位和分析,得出河北省金融业发展落后于其经济发展,并且效率不高,深度不够的结论,提出了一些促使其提高水平和效率的相关措施建议。     

全国视角下的河北省金融业发展水平比较分析

利用因子分析和聚类分析方法,对全国31个省(市、自治区)金融业的发展水平进行分类和排名,并据此对河北省金融业的发展状况进行了定位和分析,得出河北省金融业发展落后于其经济发展,并且效率不高,深度不够的结论,提出了一些促使其提高水平和效率的相关措施建议。     

地区服务业发展水平及对策研究——以陕西省为例

以陕西省为例,对省属各地区服务业的发展水平进行了研究,以期探究全省服务业协调发展的有效途径.首先,对2005-2007年间服务业发展水平评价指标的平均值进行因子分析,从规模、速度、结构和总体四个方面评价了陕西省各地区的服务业发展水平;其次,以规模、速度和结构三方面的评价得分作为聚类指标对各地区服务业发展水平进行聚类分析,寻求服务业发展水平相似的地区类别;最后,根据研究结果并结合陕西省实际情况,提出相应的对策建议.     

基于因子分析法的房地产上市公司绩效评价研究

利用因子分析法对市场上主要的39家房地产上市公司进行实证分析,利用上市公司在股票市场上比较容易获得的数据,并依据因子分析法原理选取了十个评价指标,指标主要体现了企业的盈利能力、经营能力和偿债能力。综合全篇对房地产业中存在的问题的阐述和分析结论给出四个建议:加强政府宏观调控和公司内部管理、加强企业品牌文化意识和员工素质培养、拓宽投资区域、重视和调整资产负荷比率并增加融资渠道。     

基于因子分析与聚类分析福建各县市经济发展研究

创建县域经济发展评价指标体系,以福建省67个县、县级市、市辖区作为样本,运用因子分析的统计方法进行实证分析,提出综合经济实力因子、社会保障实力因子、居民收入因子、农业发展实力因子与生活质量因子5个因子,同时基于因子得分矩阵对67个县、县级市、市辖区进行聚类分析。分析结果表明,反映经济发展整体水平、医疗卫生水平和工业生产规模的综合经济实力因子处于主导地位,同时,农业发展实力因子跟社会保障因子的作用也不能够忽视。研究县域经济利用因子分析与聚类分析的方法,所得到的结论客观可信,并且能够比较全面地反映影响县域经济发展的主要因素。     

基于SPCA的我国地区发展评价和分析

唯GDP的考核方式造成了诸多问题。采用稀疏主成分分析构建了新的地区发展评价指数。研究表明,采用该方法是适合的,构造的指数不仅克服了大多数指数权重设置的主观性,能够有效分析地区综合发展水平,而且有利于透视地区发展各个方面存在的不平衡以及历史演进过程。     

Patent text mining and informetric-based patent technology morphological analysis: an empirical study

Patent technology morphological analysis utilises the advantages of both patent information analysis and morphological analysis to provide more detailed information on current and future patent technology. Current patent technology morphological analysis methods are largely reliant on manual expertise in the construction of morphological boxes with few approaches to the evaluation of future morphological configurations. We developed a patent text mining and informetric-based patent technology morphological analysis technique. We defined the basic parameters of the morphological box as the factors in factor analysis, with a patent keywords matrix, and the clusters in clustering analysis with factor scores. Patent citation, year of patent registration, keyword frequency, and contributing factors were used to evaluate future morphological configurations. We used an empirical study of liquid crystal display wide viewing angle patents to validate our method. The Thomson Reuters Derwent Innovation Index was used to collect patent text datasets. Our study indicates that this method is feasible for the implementation of patent technology morphological analysis. Our method provides advantages in terms of cost and time reductions during morphological box construction and more flexible methods for evaluating morphological configurations. We discuss problems and possible development of our method in the last section.     

Strategic technology editing of the patent stage: lesson from a case of inkjet printer development

Patents are conventionally regarded as representing post-procurement of rights based on results of research and development (R&D). Patents can also be regarded as factors promoting R&D itself. In this study, the author examines the strategic meaning of patents in R&D through analyses of the R&D processes at Canon Inc., which is widely considered to submit patents strategically. The author identified characteristic behaviour related to patent acquisition in the R&D of inkjet printers. Canon constructed a strong patent group precisely by editing patents submitted earlier. Characteristic patent submissions were also identified: they elevated the obtained R&D results to higher concepts as milestones of R&D. These findings are discussed from the viewpoint of the meaning of patents for R&D and the possibility of effective R&D at the patent stage.     

Patterns of technology life cycles: stochastic analysis based on patent citations

Patent analysis has been considered as an effective means of estimating phases of a technology life cycle. However, previous studies have not considered the dynamic and idiosyncratic aspects of a technology’s progression since they were based on deterministic methods, mainly fitting s- or double s-shaped curves to patent application counts. Moreover, previous methods cannot be executed at the individual patent level. We propose a stochastic technology life cycle analysis to trace the phases of a technology’s progression based on patent citations and identify the patterns of technology life cycles at the individual patent level. At the heart of the proposed approach are a hidden Markov model to estimate the probability of a system being at a certain hidden state from observation and cluster analysis to group a set of objects according to their similarities. A case study of patents about laser technology in lithography is presented.     

Capturing the real value of patent analysis for R&D strategies

Patent information can be used for strategic planning purposes. Conventional patent analysis has commonly focused on factual information and, in particular, on information extraction, visualisation and interpretation. Less scholarly attention has been devoted to the strategic role of an integrated system of patent intelligence in supporting decision-making in R&D investments. Our paper addresses this gap and explores how patent analysis may benefit those firms that intend capturing the beneficial effects of Open Innovation. We also critically discuss the intrinsic limits of both patent information and patent analysis, which should be taken into account by systems of patent intelligence.     

Monitoring trends of technological changes based on the dynamic patent lattice: A modified formal concept analysis approach

The strategic importance of monitoring technological changes is highlighted given the ever faster pace and increasing complexity of technological innovation. In this respect, patent citation analysis has been the most frequently adopted tool among others. However, patent citation analysis is subject to certain drawbacks that stem from only consideration of citing-cited information and time lags between citing and cited patents. This study proposes a formal concept analysis (FCA)-based approach to developing a dynamic patent lattice that can analyze complex relations among patents and monitor trends of technological changes. The FCA is a mathematical tool for grouping objects with shared properties based on the lattice theory. The distinct strengths of FCA, vis-á-vis other methods, lie in structuring and displaying the relations among objects from a massive amount of data. For the purpose of technology monitoring, the FCA is modified to take into account time periods and changes of patent keywords. A patent context is first constructed with the aid of domain experts and text mining technique. Two types of dynamic patent lattices are then developed by executing the modified FCA algorithm. A case study of laser technology in lithography for semiconductor manufacturing shows that the suggested dynamic patent lattice has considerable advantages over conventional patent citation maps in terms of visualization and informative power.     

基于因子法的上市公司投资价值分析

分析上市公司投资价值有许多方法,而如何综合评价上市公司的投资价值则是一个值得研究的重要问题。选取2011年9月30日沪深两市23家煤炭上市公司14项财务指标,采用因子分析法,使用SPSS统计软件得出综合价值排名,并与市净率进行比较,得出高估或者低估的股票。     

中国金融发展与全要素生产率关系研究

运用柯布一道格拉斯生产函数和增长核算法计算出1978—2006年全国的TFP,并选取FIR作为金融发展指标,对二者进行单位根检验、协整检验,继而运用误差修正模型得出FIR与TFP的回归方程。实证结果显示,长期全要素生产率存在一定的自回归调整,金融发展的短期波动也起到了显著的调整作用。     

Empirical study on evaluation of regional agri-food logistics capability in e-commerce environment based on factor analysis A case study of Hebei province

With SPSS16.0 software, this paper chooses the statistical data of 11 cities in Hebei province to empirically study the agri-food logistics capability based on the method of factor analysis, and finally obtains the ranking of the 11 cities. It shows that, factor-cluster analysis is an effective method to analyze the logistics capability of agri-food. It can simplify the original complicated problem and lead to an objective, reliable and convincing conclusion.