专利申请驱动因素研究
|
摘要
专利是一个区域科技资产的核心和最富经济价值的部分,专利的拥有量既能反映出该区域科技成果的原始创新能力,又能折射出这些成果的市场应用潜能,它是衡量区域创新能力和综合实力的重要标志之一。如何在区域创新的框架内对专利申请活动进行研究一直受到国内外学者的广泛关注,但是对专利申请驱动因素的研究并没有引起足够的重视。因此,文章选择专利申请的驱动因素作为研究对象,在理论上和实践上都具有重要的意义。
文章在国家大力推进专利战略,加强知识产权战略,强化区域创新的大背景下,通过定性和定量相结合的方法深入研究了专利申请驱动因素。在研究的过程中,一方面运用支持向量机(SVM)方法对专利申请驱动因素进行建模,通过P-SVM和微分进化算法的混合模型选取非线性的关键驱动因素,并在负二项分布建模的基础上对关键驱动因素进行评价;另一方面运用实证分析的方法提出了中国专利申请驱动因素的相关假设,通过关系研究和验证性因素分析,研究了这些假设的存在性。文章主要研究内容和创新性成果如下:
(1)文章通过对专利申请驱动的研究开发、经济增长、企业战略用途和专利保护程度等因素进行国际比较研究,分析了中国专利申请的驱动因素。文章以区域技术创新理论为核心,以专利申请活动为纽带,分析了中国区域专利技术创新体系的特征,提出了基于区域技术创新的中国专利申请的驱动体系,在专利申请驱动因素选取原则的基础上,分析了专利发展基础、专利发展环境、企业投入、政府投入、产学研联系和外商投资等中国专利申请的驱动因素及其变量。
(2)文章在机器学习和统计学习理论基础上,引入支持向量机回归模型对专利申请进行建模。在支持向量机回归建模过程中纳入了区域经费及人力投入、专利倾向、区域富裕程度和外商投资活动等驱动因素变量,并通过仿真方法对专利申请进行预测。预测的结果一方面显示支持向量机预测方法比人工神经网络和逻辑回归方法有更高的预测精度,另一方面还表明运用支持向量机的方法对中国专利申请驱动因素的建模是可行和有效的,从而文章为处理小样本非线性的回归预测问题提出了一个可行的解决办法。
(3)在通过支持向量机对专利申请建模成功的基础上,文章通过P-SVM和微分进化算法的混合建模对专利申请的关键驱动因素进行选取。在P-SVM建模的过程中对P-SVM的三个参数并行的进行了微分进化算法的优选,成功地选取了专利申请的关键驱动因素变量,如:区域GDP总量,每万人中大专以上学历人数,前期专利拥有总数,二产与三产从业人数之比,R&D人员数,企业R&D经费占销售收入之比,区域R&D总经费支出占GDP比重,大学和科研院所获得企业研究开发经费和人均外商直接投资额等。文章利用选取的关键驱动因素变量进一步对中国区域的专利申请进行预测,数据仿真显示具有良好特征抽取功能的P-SVM方法比核主成分分析的最小二乘支持向量机和岭回归方法具有较高的预测精度和推广能力。试验的研究表明P-SVM建模方法对处理类似专利申请驱动因素非线性回归问题的特征选取是有效的。
(4)基于专利申请的泊松分布评价模型,文章结合中国专利申请数据样本的特征,提出专利申请的负二项分布的评价模型,并运用面板数据对中国东中西部地区专利申请驱动因素进行了评价、分析和讨论。分析结果表明:“区域GDP、前期专利拥有总数、企业R&D经费占销售收入之比、R&D总经费支出占GDP比重”这四个因素变量对东中西三个地区的专利申请都具有较强的驱动作用;“前期专利拥有总数、企业R&D经费占销售收入之比、R&D总经费支出占GDP比重”这三个因素变量对东中西三个地区的发明专利申请也具有较强的驱动作用,其他因素在不同地区针对不同的创新程度表现各异。
(5)作为对专利申请驱动因素定量研究的补充,文章对中国专利申请驱动因素进行了实证研究。文章提出了专利申请与驱动因素之间的相关假设,利用各区域的调研数据,对专利申请与驱动因素之间的关系进行验证性因素分析,分析结果表示东部地区支持假设体系,中西部地区部分支持假设体系。文章针对中西部地区实证结论进行讨论,从专利发展的意识、法律环境、专利技术市场、自主知识产权及专利生命周期过程等方面提出了中西部地区专利发展、区域创新能力提高的对策建议。
文章研究成果在一定程度上解决了专利申请驱动因素的非线性建模、特征抽取及评价的问题,为处理类似专利申请驱动因素非线性回归问题提供了更加广阔的空间。
Patent is the most core and valuable part of a regional science and technology assets. The possession quantity of patents, which is the most important mark to describe the regional innovation ability and comprehensive strength, not only reflects the original innovation ability of this region, but also reflects the application ability of these achievements. It has been widely concerned that how to do the research in the framework of regional innovation. But the research of driven factors of patents application has not been paid enough attention. So it is very important both for theory and practice that the drivers are chosen as the study object.
Under the background that national patents strategy vigorously promotes, intellectual property strategy improved, and the regional innovation strengthened, patent applications drive system is deeply studied using a combination of qualitative and quantitative methods. During this study, one side through support vector machine (SVM) model for the patent applications drivers, P-SVM is used to select the non-linear key driver, and negative binomial distribution model is used to evaluate the key drivers. Another side, the assumption of drivers of China's patent applications is presented and the existence is analyzed by the relationship research and confirmatory factor analysis. The main content and innovative research results are as follows:
(1) This article refers to the patent applications related to the driver of the theory, from the international comparative study of international research development, economic growth, corporate strategy and the degree of patent protection, a research perspective and the starting point are presented in this article, and the patent applications drivers are analyzed. In this article, the regional technological innovation is the core and the activities of patent applications are the link, and it is analyzed of China's regional innovation system's patented technology features. Driven system of patent applications is presented based on regional technological innovation. On the basis of the patent applications in the driver's selection principles, the development of patents, patent development, business investment and government investment, research and contact with foreign investment drive, and other factors are analyzed.
(2) In this work, on the basis of machine learning and statistics, support vector machine regression model is introduced for patent applications. Regional investment funds, manpower, patents tend to regional prosperity and foreign investment-driven activities are included in the modeling process as variable factors. The simulation methods of the patent application drivers to predict results show that support vector machines than the forecast of artificial neural networks and logistic regression methods have higher forecast accuracy, but also showed that the use of support vector machine approach to our patent application of the drivers Modeling is a feasible and effective in order to also deal with the non-linear regression prediction of a possible solution.
(3) On the success of support vector machine modelling of the patent application, P-SVM is used in patent applications for selected key drivers. In the process of running P-SVM, for the P-SVM parameters, three parallel differential evolution algorithm for the selection of successful patent applications to select a key driver of variables, such as: the total regional GDP, per million people in college The number of qualifications, the total number of pre-owned patents, second and third production ratio of the number of practitioners, R&D staff, corporate R&D funds accounted for sales ratio, the total regional R&D expenditure proportion of GDP accounted for, universities and research institutes access to corporate R&D funding And the per capita foreign direct investment, and so on. Papers selected after the use of variable factors on China's further regional patent applications to predict, data simulation shows a good feature extraction function of the P-SVM than kernel PCA least squares and support vector machine regression ridge of high forecast Precision and the ability to promote. The pilot study showed that P-SVM modelling approach in dealing with this kind of patent applications drive drivers return to the issue of non-linear feature selection to be effective.
(4) Based on the patent applications in the evaluation of the Poisson distribution model, and considering our patent application of the characteristics of the sample data, a patent application for evaluation of the negative binomial distribution model adopted by the negative binomial distribution model for the evaluation of the use of panel data Eastern, central and western areas of patent applications drivers were evaluated, analyzed and discussed. The results show that: the regional GDP, the total number of pre-patent owners, corporate R&D funds accounted for sales ratio, R&D expenditures of the total proportion of GDP accounted for, the four factors of east, middle and west of China variable in the three regions of the patent application has a strong drive Role; the total number of pre-owned patents, corporate R&D funds accounted for sales ratio, R&D expenditure accounted for the total proportion of GDP. These three factors also east, middle and west of China variable in the three regions of the invention patent applications has a strong drive, other Factor in the different regions for different degree of innovation and performance varied.
(5) The patent application for the quantitative study of the drivers added that empirical method is used for China's patent application drivers. In this paper, the assumptions related to the patent applications and drivers are referred using of regional research data, patent applications and drivers of the relationship between the confirmatory factor analysis and the results indicated that the eastern region to support the assumption that the system, the central and western regions. To support the assumption that part of the system. The article for the central and western regions of the empirical conclusions were discussed, and the development of the patent awareness, legal environment, market, technology, independent intellectual property rights and patent life-cycle process, and other aspects of the central and western regions of the patent development, improve the regional innovation strategies suggestion.
The research work in the dissertation have partly solved the problems of non-linear model for the patent applications drivers, feature extraction and evaluation, provided a broader space for the non-linear regression prediction, similer to the driven factors of patents application.
文章在国家大力推进专利战略,加强知识产权战略,强化区域创新的大背景下,通过定性和定量相结合的方法深入研究了专利申请驱动因素。在研究的过程中,一方面运用支持向量机(SVM)方法对专利申请驱动因素进行建模,通过P-SVM和微分进化算法的混合模型选取非线性的关键驱动因素,并在负二项分布建模的基础上对关键驱动因素进行评价;另一方面运用实证分析的方法提出了中国专利申请驱动因素的相关假设,通过关系研究和验证性因素分析,研究了这些假设的存在性。文章主要研究内容和创新性成果如下:
(1)文章通过对专利申请驱动的研究开发、经济增长、企业战略用途和专利保护程度等因素进行国际比较研究,分析了中国专利申请的驱动因素。文章以区域技术创新理论为核心,以专利申请活动为纽带,分析了中国区域专利技术创新体系的特征,提出了基于区域技术创新的中国专利申请的驱动体系,在专利申请驱动因素选取原则的基础上,分析了专利发展基础、专利发展环境、企业投入、政府投入、产学研联系和外商投资等中国专利申请的驱动因素及其变量。
(2)文章在机器学习和统计学习理论基础上,引入支持向量机回归模型对专利申请进行建模。在支持向量机回归建模过程中纳入了区域经费及人力投入、专利倾向、区域富裕程度和外商投资活动等驱动因素变量,并通过仿真方法对专利申请进行预测。预测的结果一方面显示支持向量机预测方法比人工神经网络和逻辑回归方法有更高的预测精度,另一方面还表明运用支持向量机的方法对中国专利申请驱动因素的建模是可行和有效的,从而文章为处理小样本非线性的回归预测问题提出了一个可行的解决办法。
(3)在通过支持向量机对专利申请建模成功的基础上,文章通过P-SVM和微分进化算法的混合建模对专利申请的关键驱动因素进行选取。在P-SVM建模的过程中对P-SVM的三个参数并行的进行了微分进化算法的优选,成功地选取了专利申请的关键驱动因素变量,如:区域GDP总量,每万人中大专以上学历人数,前期专利拥有总数,二产与三产从业人数之比,R&D人员数,企业R&D经费占销售收入之比,区域R&D总经费支出占GDP比重,大学和科研院所获得企业研究开发经费和人均外商直接投资额等。文章利用选取的关键驱动因素变量进一步对中国区域的专利申请进行预测,数据仿真显示具有良好特征抽取功能的P-SVM方法比核主成分分析的最小二乘支持向量机和岭回归方法具有较高的预测精度和推广能力。试验的研究表明P-SVM建模方法对处理类似专利申请驱动因素非线性回归问题的特征选取是有效的。
(4)基于专利申请的泊松分布评价模型,文章结合中国专利申请数据样本的特征,提出专利申请的负二项分布的评价模型,并运用面板数据对中国东中西部地区专利申请驱动因素进行了评价、分析和讨论。分析结果表明:“区域GDP、前期专利拥有总数、企业R&D经费占销售收入之比、R&D总经费支出占GDP比重”这四个因素变量对东中西三个地区的专利申请都具有较强的驱动作用;“前期专利拥有总数、企业R&D经费占销售收入之比、R&D总经费支出占GDP比重”这三个因素变量对东中西三个地区的发明专利申请也具有较强的驱动作用,其他因素在不同地区针对不同的创新程度表现各异。
(5)作为对专利申请驱动因素定量研究的补充,文章对中国专利申请驱动因素进行了实证研究。文章提出了专利申请与驱动因素之间的相关假设,利用各区域的调研数据,对专利申请与驱动因素之间的关系进行验证性因素分析,分析结果表示东部地区支持假设体系,中西部地区部分支持假设体系。文章针对中西部地区实证结论进行讨论,从专利发展的意识、法律环境、专利技术市场、自主知识产权及专利生命周期过程等方面提出了中西部地区专利发展、区域创新能力提高的对策建议。
文章研究成果在一定程度上解决了专利申请驱动因素的非线性建模、特征抽取及评价的问题,为处理类似专利申请驱动因素非线性回归问题提供了更加广阔的空间。
Patent is the most core and valuable part of a regional science and technology assets. The possession quantity of patents, which is the most important mark to describe the regional innovation ability and comprehensive strength, not only reflects the original innovation ability of this region, but also reflects the application ability of these achievements. It has been widely concerned that how to do the research in the framework of regional innovation. But the research of driven factors of patents application has not been paid enough attention. So it is very important both for theory and practice that the drivers are chosen as the study object.
Under the background that national patents strategy vigorously promotes, intellectual property strategy improved, and the regional innovation strengthened, patent applications drive system is deeply studied using a combination of qualitative and quantitative methods. During this study, one side through support vector machine (SVM) model for the patent applications drivers, P-SVM is used to select the non-linear key driver, and negative binomial distribution model is used to evaluate the key drivers. Another side, the assumption of drivers of China's patent applications is presented and the existence is analyzed by the relationship research and confirmatory factor analysis. The main content and innovative research results are as follows:
(1) This article refers to the patent applications related to the driver of the theory, from the international comparative study of international research development, economic growth, corporate strategy and the degree of patent protection, a research perspective and the starting point are presented in this article, and the patent applications drivers are analyzed. In this article, the regional technological innovation is the core and the activities of patent applications are the link, and it is analyzed of China's regional innovation system's patented technology features. Driven system of patent applications is presented based on regional technological innovation. On the basis of the patent applications in the driver's selection principles, the development of patents, patent development, business investment and government investment, research and contact with foreign investment drive, and other factors are analyzed.
(2) In this work, on the basis of machine learning and statistics, support vector machine regression model is introduced for patent applications. Regional investment funds, manpower, patents tend to regional prosperity and foreign investment-driven activities are included in the modeling process as variable factors. The simulation methods of the patent application drivers to predict results show that support vector machines than the forecast of artificial neural networks and logistic regression methods have higher forecast accuracy, but also showed that the use of support vector machine approach to our patent application of the drivers Modeling is a feasible and effective in order to also deal with the non-linear regression prediction of a possible solution.
(3) On the success of support vector machine modelling of the patent application, P-SVM is used in patent applications for selected key drivers. In the process of running P-SVM, for the P-SVM parameters, three parallel differential evolution algorithm for the selection of successful patent applications to select a key driver of variables, such as: the total regional GDP, per million people in college The number of qualifications, the total number of pre-owned patents, second and third production ratio of the number of practitioners, R&D staff, corporate R&D funds accounted for sales ratio, the total regional R&D expenditure proportion of GDP accounted for, universities and research institutes access to corporate R&D funding And the per capita foreign direct investment, and so on. Papers selected after the use of variable factors on China's further regional patent applications to predict, data simulation shows a good feature extraction function of the P-SVM than kernel PCA least squares and support vector machine regression ridge of high forecast Precision and the ability to promote. The pilot study showed that P-SVM modelling approach in dealing with this kind of patent applications drive drivers return to the issue of non-linear feature selection to be effective.
(4) Based on the patent applications in the evaluation of the Poisson distribution model, and considering our patent application of the characteristics of the sample data, a patent application for evaluation of the negative binomial distribution model adopted by the negative binomial distribution model for the evaluation of the use of panel data Eastern, central and western areas of patent applications drivers were evaluated, analyzed and discussed. The results show that: the regional GDP, the total number of pre-patent owners, corporate R&D funds accounted for sales ratio, R&D expenditures of the total proportion of GDP accounted for, the four factors of east, middle and west of China variable in the three regions of the patent application has a strong drive Role; the total number of pre-owned patents, corporate R&D funds accounted for sales ratio, R&D expenditure accounted for the total proportion of GDP. These three factors also east, middle and west of China variable in the three regions of the invention patent applications has a strong drive, other Factor in the different regions for different degree of innovation and performance varied.
(5) The patent application for the quantitative study of the drivers added that empirical method is used for China's patent application drivers. In this paper, the assumptions related to the patent applications and drivers are referred using of regional research data, patent applications and drivers of the relationship between the confirmatory factor analysis and the results indicated that the eastern region to support the assumption that the system, the central and western regions. To support the assumption that part of the system. The article for the central and western regions of the empirical conclusions were discussed, and the development of the patent awareness, legal environment, market, technology, independent intellectual property rights and patent life-cycle process, and other aspects of the central and western regions of the patent development, improve the regional innovation strategies suggestion.
The research work in the dissertation have partly solved the problems of non-linear model for the patent applications drivers, feature extraction and evaluation, provided a broader space for the non-linear regression prediction, similer to the driven factors of patents application.
引文
[1]Yoo-Jin Han,Measuring industrial knowledge stocks with patents and papers,Journal of Informetries,2007(4):269-276.
[2]Yen-Chun Jim Wu,Pi-Ju Lee,The use of patent analysis in assessing ITS innovations:US,Europe and Japan,Transportation Research Part A:Policy and Practice,2007(6):568-586.
[3]N.van Zeebroeek,N.Stevnsborg,B.van Pottelsberghe de la Potterie,D.Guellec,E,Archontopoulos.Patent inflation in Europe,World Patent Information,2008(1):43-52.
[4]叶静怡,宋芳.中国专利制度变革引致的创新效果研究.经济科学,2006(6):86-96.
[5]蒋满元,唐玉斌.对我国专利制度运行效果的经济分析.科技与经济,2006(3):50-53.
[6]高雯雯,孙成江,刘玉奎.中国专利产出与经济增长的协整分析.情报杂志,2006(1):34-36.
[7]刘华.国际专利制度改革的实证分析及对我国的启示.法律科学,2006(1):149-155.
[8]Kazuyuki Motohashi,Assessment of technological capability in science industry linkage in China by patent database,World Patent Information,2008(3):225-232.
[9]杨林村,邓益志,赵立新.国家专利战略研究(修订版).知识产权出版社,2006.
[10]Yum K.Kwan,Edwin L.C.Lal,Intellectual property rights protection and endogenous economic growth,Journal of Economic Dynamics & Control,2003:853-873.
[11]蔡富有,杜基尔,蒯辙,赵启厚.建设创新型国家与知识产权战略.中国经济出版社,2008.
[12]盛世谊,徐竹青.知识产权与竞争优势.中国社会科学出版社,2005.
[13]徐明华,包海波.知识产权强国之路.知识产权出版社,2003.
[14]包海波,徐竹青,李东华.论政府在知识产权战略中的作用.中国软科学,2004(1):114-120.
[15]吴欣望.日美专利制度的差异及经济绩效分析.科技与管理,2003(6):132-135.
[16]周寄中,张黎,汤超颖.专利制度的效率分析.科技与经济,2006(1):57-60.
[17]许勤.自主创新政策初见成效创新型国家建设任重道远——2007年我国自主创新发展分析.中国经贸导刊,2008(5):25-27.
[18]徐小钦,易长清.知识产权战略对区域创新能力的影响研究.科技管理研究,2007(12):34-36.
[19]易玉.建立知识产权战略绩效评估指标体系的思考.知识产权,2007(1):32-36.
[20]吴贵生,魏守华,徐建国.区域科技论.清华大学出版社,2007.
[21]Dosi,G.,Freeman,C.,Silverberg,G.,Soete,L.,Technical Change and Economic Theory,Pinter Publishers,London,UK,1988.
[22]Freeman,C.,Japan:a new system of innovation,In:Dosi,G.(Ed.),Technical Change and Economic Theory,Pinter Publishers,London,UK,1988:330-348.
[23]Nelson,R.R.,Institutions supporting technical change in the united states,In:Dosi,G.(Ed.),Technical Change and Economic Theory,Pinter Publishers,London,UK,1988:312-329.
[24]Nelson,R.R.(Ed.),National Innovation Systems:A Comparative Analysis,Oxford University Press, New York, 1993.
[25] Nelson, R.R., Wright, G., The rise and fall of American technological leadership: the postwar era in historical perspective, Journal of Economic Literature, 1992, 30 (4): 1931-1964.
[26] Lundvall, B.A., Innovation as an interactive process: from user-producer interaction to the national system of innovation, 1988.
[27] OECD (2004), "Patents and Innovation, Trends and Policy Challenges", OECD Publications. [28] Naubahar Sharif, Emergence and development of the National Innovation Systems concept, Research Policy, 2006,35(5):745-766.
[29] Kazuyuki Motohashi, University-industry collaborations in Japan: The role of new technology-based firms in transforming the National Innovation System, Research Policy, 2005,34(5):583-594.
[30] Mark Dodgson, John Mathews, Tim Kastelle, Mei-Chih Hu, The evolving nature of Taiwan's national innovation system: The case of biotechnology innovation networks, Research Policy, 2008,37(3):430-445.
[31]Niosi, J. (Ed.), Technology and National Competitiveness: Oligopoly, Technological Innovation, and International Competition, Mc-Gill-Queen's University Press, Montreal, 1991.
[32] Porter, M.E., Stern, S., Measuring the 'Ideas' Production Function: Evidence from International Patent Output, MIT Sloan School of Management, Mimeo, 2001.
[33] Stan Metcalfe, Ronnie Ramlogan, Innovation systems and the competitive process in developing economies, The Quarterly Review of Economics and Finance, 2008,48(2): 433-446.
[34] Susan Page Hocevar, Gail Fann Thomas, Erik Jansen, Building Collaborative Capacity: An Innovative Strategy for Homeland Security Preparedness, Advances in Interdisciplinary Studies of Work Teams, 2006(12):255-274.
[35] Porter, M.E., Clusters and Competition: New Agendas for Companies, Governments, and Institutions, on Competition, Harvard Business School Press, Boston, MA, 1998.
[36] J.L. Furman et al, The determinants of national innovative capacity, Research Policy, 2002 (31):899-933.
[37] John A. Mathews, Mei-Chih Hu, Enhancing the Role of Universities in Building National Innovative Capacity in Asia: The Case of Taiwan, World Development, 2007,35(6): 1005-1020.
[38] Jeffrey L. Furman, Michael E. Porter, Scott Stern, The determinants of national innovative capacity, Research Policy, 2002,31(6):899-933.
[39] Frederic Bougrain, Bernard Haudeville, Innovation, collaboration and SMEs internal research capacities, Research Policy, 2002,31(5):735-747.
[40] Mei-Chih Hu, Chun-Yao Tseng, Technological interdependence and knowledge diffusion in the building of national innovative capacity: The role of Taiwan's chemical industry, Technological Forecasting and Social Change, 2007,74(3):298-312.
[41] Mei-Chih Hu, John A. Mathews, National innovative capacity in East Asia, Research Policy, 2005,34(9):1322-1349.
[42] Manuel Laranja, Elvira Uyarra, Kieron Flanagan, Policies for science, technology and innovation: Translating rationales into regional policies in a multi-level setting, Research Policy, 2008,37(5):823-835.
[43] Griliches, Z., Patent statistics as economic indicators: a survey, Journal of Economic Literature, 1990(92):630-653.
[44] Trajtenberg, M., Patents as Indicators of Innovation, Economic Analysis of Product Innovation, Harvard University Press, Cambridge, MA, 1990.
[45] Kazuyuki Motohashi, Xiao Yun, China's innovation system reform and growing industry and science linkages, Research Policy, 2007,36(8): 1251-1260.
[46] Jaffe, A., Trajtenberg, M., Henderson, R., Geographic localization of knowledge spillovers as evidenced by patent citations, The Quarterly Journal of Economics, 1993(434):577-598.
[47] Ting-Lin Lee, Nick von Tunzelmann, A dynamic analytic approach to national innovation systems: The IC industry in Taiwan, Research Policy, 2005,34(4):425-440.
[48] Cooke, P., M. Heindenreich, Regional Innovation Systems: the role of governance in a globalized world, UCL Press, 1996.
[49] Edgar Grande, The erosion of state capacity and the European innovation policy dilemma: A comparison of German and EU information technology policies, Research Policy, 2001,30(6): 905-921.
[50] Mikel Buesa, Joost Heijs, M6nica Martinez Pellitero, Thomas Baumert, Regional systems of innovation and the knowledge production function: the Spanish case, Technovation, 2006,26(4):463-472.
[51] S. Negassi, R&D co-operation and innovation a microeconometric study on French firms, Research Policy, 2004,33(3):365-384.
[52] Hsien-Che Lai, Joseph Z, Shyu. A comparison of innovation capacity at science parks across the Taiwan Strait: the case of Zhangjiang High-Tech Park and Hsinchu Science-based Industrial Park, Technovation, 2005,25(7):805-813.
[53] Jeffrey L. Furman, Richard Hayes, Catching up or standing still? National innovative productivity among 'follower' countries, 1978-1999, Research Policy, 2004,33(9): 1329-1354.
[54] Patrick Ronde, Caroline Hussler, Innovation in regions: What does really matter?, Research Policy, 2005,34(8):1150-1172.
[55] Jan Youtie, Philip Shapira, Building an innovation hub: A case study of the transformation of university roles in regional technological and economic development, Research Policy, 2008,37(8):1188-1204.
[56] Roel Rutten, Frans Boekema, Regional social capital: Embeddedness, innovation networks and regional economic development, Technological Forecasting and Social Change, 2007,74(9): 1834-1846.
[57] Joseph Murphy, Andrew Gouldson, Environmental policy and industrial innovation: integrating environment and economy through ecological modernisation, Geoforum, 2000,31 (1):33-44.
[58] Jeremy Howells, Innovation and regional economic development: A matter of perspective?, Research Policy, 2005,34(8):1220-1234.
[59] Ajay Agrawal, Iain Cockburn, The anchor tenant hypothesis: exploring the role of large, local, R&D-intensive firms in regional innovation systems, International Journal of Industrial Organization, 2003,21(9):1227-1253.
[60] Emmanuel Muller, Andrea Zenker, Business services as actors of knowledge transformation: the role of K.IBS in regional and national innovation systems, Research Policy, 2001,30(9): 1501-1516.
[61] Keller, W., Geographic localization of international technology diffusion, NBER Working Paper, 2000, #7509.
[62] Catherine Turner, Elizabeth Davies, Heather Beattie, Joy Vickerstaff, Graham Wilkinson, Developing an innovative undergraduate curriculum - responding to the 2002 National Review of Nursing Education in Australia, Collegian: Journal of the Royal College of Nursing Australia, 2006,13(2):7-14.
[63] Klaus Kubeczko, Ewald Rametsteiner, Gerhard Weiss, The role of sectoral and regional innovation systems in supporting innovations in forestry, Forest Policy and Economics, 2006,8(7):704-715.
[64] Bernardi Cabrer-Borras, Guadalupe Serrano-Domingo, Innovation and R&D spillover effects in Spanish regions: A spatial approach, Research Policy, 2007,36(9): 1357-1371.
[65] Joaquin M. Azagra-Caro, Fragiskos Archontakis, Antonio Gutierrez-Gracia, Ignacio Fernandez-de-Lucio, Faculty support for the objectives of university-industry relations versus degree of R&D cooperation: The importance of regional absorptive capacity, Research Policy, 2006,35(1):37-55.
[66] Jeong-dong Lee, Chansoo Park, Research and development linkages in a national innovation system: Factors affecting success and failure in Korea, Technovation, 2006,26(9): 1045-1054.
[67] Zhong Xiwei, Yang Xiangdong, Science and technology policy reform and its impact on China's national innovation system, Technology in Society, 2007,29(3):317-325.
[68] Gregory Tassey, The disaggregated technology production function: A new model of university and corporate research, Research Policy, 2005,34(3):287-303.
[69] R. C. Michelini, R. P. Razzoli, Product-service eco-design: Knowledge-based infrastructures, Journal of Cleaner Production, 2004,12(4):415-428.
[70] Griliches, Z. (Ed.), R&D, Patents and Productivity, Chicago University Press, Chicago, IL, 1984.
[71] Griliches, Z., Productivity, R&D, and the data constraint, American Economic Review, 1994(84):1-23.
[72] Griliches, Z., R&D and Productivity: The Econometric Evidence, Chicago University Press, Chicago, IL, 1998.
[73] Jaffe, A.B., "Technological Opportunity and Spillovers of R & D: Evidence from Firms' Patents, Profits, and Market Value", American Economic Review, 1986,76(5):984-1001.
[74] Jaffe, A.B., Fogarty, M.S., Banks, B.A., "Evidence from Patents and Patent Citations on the Impact of NASA and other Federal Labs on Commercial Innovation", Journal of Industrial Economics, 1998,46(2): 183-205.
[75] Jaffe, A.B., Trajtenberg, M., Fogarty, M.S., "The Meaning of Patent Citations: Report on the NBER/Case-Western Reserve Survey of Patentees", NBER Working Paper, 2000(7631)
[76] Romer, P., Endogenous technological change, Journal of Political Economy, 1990(98):71-102.
[77] Grossman, G., Helpman, E., Innovation and Growth in the Global Economy, MIT Press, Cambridge, MA, 1991.
[78] Jones, C., R&D based models of economic growth, Journal of Political Economy, 1995(103):739-784.
[79] Jones, C., Introduction to Economic Growth, WW Norton & Co., New York, 1998.
[80] Kun Chen, Martin Kenney, Universities/Research Institutes and Regional Innovation Systems: The Cases of Beijing and Shenzhen, World Development, 2007,35(6):1056-1074.
[81] Jakub Growiec, Production functions and distributions of unit factor productivities: Uncovering the link, Economics Letters, 2008,101(1):87-90.
[82] R. E. Lee, Putting Humpty Dumpty back together again? The structures of knowledge and the future of the social sciences, Futures, 2003,35(6):621-632.
[83] Murray, F., "The role of academic inventors in entrepreneurial firms, sharing the laboratory life", Research Policy, 2004(33):643-659.
[84] Knut Blind, The impacts of innovations and standards on trade of measurement and testing products: empirical results of Switzerland's bilateral trade flows with Germany, France and the UK, Information Economics and Policy, 2001,13(4):439-460.
[85] Anastasia Litina, Theodore Palivos, Do Inada conditions imply that production function must be asymptotically Cobb-Douglas? A comment, Economics Letters, 2008,99(3):498-499.
[86] Dierk Herzer, Stephan Klasen, Felicitas Nowak-Lehmann D., In search of FDI-led growth in developing countries: The way forward, Economic Modelling, 2008,25(5):793-810.
[87] Narisa Zhao, Tang Huanwen, Luo Xiaona, Research on non-linear input-output model based on production function theory and a new method to update IO coefficients matrix, Applied Mathematics and Computation, 2006,181(1):478-486.
[88] Taoyuan Wei, Impact of energy efficiency gains on output and energy use with Cobb-Douglas production function, Energy Policy, 2007,35(4):2023-2030.
[89] Joe Zhu, Further discussion on linear production functions and DEA, European Journal of Operational Research, 2000,127(3):611-618.
[90] Michael Glykas, Panagiotis Chytas, Technological innovations in asthma patient monitoring and care, Expert Systems with Applications, 2004,27(1):121-131.
[91] Pakes, A., "On Patents, R & D, and the Stock Market Rate of Return", Journal of Political Economy, 1985,93(2).
[92] Pakes, A., "Patents as Options: Some Estimates of the Value of Holding European Patent Stocks", Econometrica, 1986,54(4).
[93] Pakes, A., Simpson, M., Judd, K., Mansfield, E., "Patent Renewal Data", Brookings Papers on Economic Activity, Microeconomics, 1989:331-401.
[94] Arora, A., and Merges, R., "Specialized supply firms, property rights and firm boundaries", Industrial and Corporate Change, 2003(13):451-475.
[95] Arora, A., Ceccagnoli, M., "Patent protection, complementary assets, and firms' incentives for technology licensing", Management Science, forthcoming, 2005.
[96] Eaton, J., Kortum, S., "International Technology Diffusion, Theory and Measurement", International Economic Review, 1999,40(3):537-570.
[97] Kanwar, S., Evenson, R., "Does Intellectual Property Protection Spur Technological Change?", Oxford Economic Papers, 2003(55):235-64.
[98] Maloney, W.F., Lederman, D., "R&D and Development", World Bank Policy Research Working Paper, 2003(3024).
[99] Roger Svensson, Commercialization of patents and external financing during the R&D phase, Research Policy, 2007,36(7): 1052-1069.
[100] Nordhaus, Invention, Growth and Welfare: A Theoretical Treatment of Technological Change, M.I.T. Press, 1969.
[101] Arora, A., "Contracting for Tacit Knowledge: The Provision of Technical Services in Technology Licensing Contracts." Journal of Development Economics 1996(50):233-256.
[102] Cassiman, B. and Veugelers, R., "R&D Cooperation and Spillovers: some empirical evidence from Belgium." The American Economic Review, 2002,92 (4): 1169-1184.
[103] Gans, J., Hsu, D., Stern, S., "When does start-up innovation spur the gale of creative destruction", RAND Journal of Economics, 2002(33):571-586.
[104] Nakamura, K., Odagiri, H., "Determinants of R&D Boundaries of the Firm: An Empirical Study of Commissioned R&D, Joint R&D, and Licensing with Japanese Company Data", NISTEP, Discussion Paper, 2003(32).
[105] Fink, S., Maskus, K.E., IP and development Lessons from recent economic research, World Bank, 2005.
[106] Mansfield, E., "Patents and innovation: An empirical study," Management Science, 1986(32):173-181.
[107] James Bessen, The value of U.S. patents by owner and patent characteristics, Research Policy, 2008,37(5):932-945.
[108] Ashish Arora, Marco Ceccagnoli, Wesley M. Cohen, R&D and the patent premium, International Journal of Industrial Organization, 2008,26(5): 1153-1179.
[109] Arijit Mukherjee, Patents and R&D with imitation and licensing, Economics Letters, 2006,93(2):196-201.
[110] Deng, Y., Essays on the evaluation of European patents, PhD Thesis, Yale University, 2003.
[111] Amy Jocelyn Glass, Substitution in R&D across countries, Japan and the World Economy, 2003,15(4):373-390.
[112] Hall, B.H., Jaffe. A., Trajtenberg, M., "Market value and patent citations", RAND Journal of Economics, forthcoming, 2005.
[113] Cohen, W.M., Goto, A.,Nagata, A., Nelson, R.R., "R&D spillovers, patents and the incentives to innovate in Japan and the United States", Research Policy, 2002(31):1349-1367.
[114] Rivette, K.G., Kline, D., "Discovering New Value in Intellectual Property", Harvard Business Review, 2000,78(1):54-66.
[115] Markus Reitzig, Joachim Henkel, Christopher Heath, On sharks, trolls, and their patent prey—Unrealistic damage awards and firms' strategies of "being infringed", Research Policy, 2007,36(1):134-154.
[116] Gilbert, R., Newberry, D., "Preemptive Patenting and the Persistence of Monopoly", American Economic Review, 1992(72):514-526.
[117] Bunch, D.S., Smiley, R., "Who Deters Entry? Evidence on the Use of Strategic Entry Deterrents", Review of Economics and Statistics, 1992,74(3):509-521.
[118] Bessen, J., Hunt, R.M., An Empirical Look at Software Patents, Federal Reserve Bank of Philadelphia, Working Paper, 2004, No. 03-17/R.
[119] Goto, A.(ed), Odagiri, H. (ed), Innovation in Japan, Clarendon Press, Oxford, 1997.
[120] Arundel, A., "The Relative Effectiveness of Patents and Secrecy for Appropriation", Research Policy, 2001(30):611-624.
[121] Blind, K., Thumm, N., "Interrelation between patenting and standardisation strategies: empirical evidence and policy mplications", Research Policy, 2004(33): 1583-1598.
[122] Reitzig, M., "The private values of 'thickets' and 'fences', towards an updated picture of the use of patents across industries", Economics of Innovation & New Technology, 2004(13):457-476.
[123]Cohen,W.M.,Nelson,R.R.,Walsh,J.P.,"Links and Impacts,The Influence of Public Research on Industrial R&D",Management Science,2002(48):1-23.
[124]Cohen,W.M.,"Patents and Appropriation:Concerns and Evidence",Journal of Technology Transfer,2004(30):57-71.
[125]Walsh,J.P.,Arora,A.,Cohen,W.M.,"Effects of Research Tool Patents and Licensing on Biomedical Innovation," in W.Cohen and S.Merrill,eds.,Patents in the Knowledge-Based Economy,Washington,D.C.National Academies Press,2003.
[126]Helpman,E.,"Innovation,Imitation,and Intellectual Property Rights",Econometfica,1993(6):1247-1280.
[127]Chen,D.H.C.,Dahlman,C.J.,"Knowledge and Development,A Cross-Section Approach",The World Bank,Policy Research Working Paper,2004,n.3366.
[128]Theo Eicher,Cecilia Garcia-Penalosa,Endogenous strength of intellectual property rights:Implications for economic development and growth,European Economic Review,2008,52(2):237-258.
[129]Debasis Mondal,Manash Ranjan Gupta,Innovation,imitation and intellectual property rights:Introducing migration in Helpman's model,Japan and the World Economy,2008,20(3):369-394.
[130]Yuichi Furukawa,The protection of intellectual property rights and endogenous growth:Is stronger always better?,Journal of Economic Dynamics and Control,2007,31(11):3644-3670.
[131]Winston T.H.Koh,Terrorism and its impact on economic growth and technological innovation,Technological Forecasting and Social Change,2007,74(2):129-138.
[132]Chih-Hai Yang,Is innovation the story of Taiwan's economic growth?,Journal of Asian Economics,2006,17(5):867-878.
[133]Francois Leveque,Yann Ménière,Academic response to the European Commission's Questionnaire on the patent system in Europe:An economic approach,World.Patent Information,2006,28(4):305-311.
[134]Cheung Kui-yin,Ping LIN,Spillover effects of FDI on innovation in China:Evidence from the provincial data,China Economic Review,2004,15(1):25-44.
[135]王勇,张岩.鼓励专利申请促进专利发展.山西科技,2003(1):34,40.
[136]徐竹青.专利、技术创新与经济增长:理论与实证.科技管理研究,2004(5):109-111.
[137]李绩才,王晓波,余竹生.我国专利申请与科技创新研究.科技管理研究,2004(1):29-31.
[138]郭文娟,黄非.发明专利申请量与我国企业的创新主体地位.统计研究,2006(2):9-12.
[139]刘多兰.强化情报意识提升专利申请量.现代情报,2006(6):208-210.
[140]李平,刘建.FDI、国外专利申请与中国各地区的技术进步——国际技术扩散视角的实证分析.国际贸易问题,2006(7):99-104.
[141]吴欣望.专利制度的经济学分析.武汉大学博士论文,2004.
[142]何丽梅.从专利申请看城市的技术创新能力——以无锡市为例.社会科学家,2007(2):159-161.
[143]徐晟,赵惠芳,郭雪松.我国专利申请量的支持向量机预测模型研究.运筹与管理,2007(5):137-141.
[144]张敦富,傅晓东.区域经济合作与区域分工问题研究.长江论坛,2000(6):16-19.
[145]潘雄锋,刘凤朝.中国专利申请结构的分析与预测.情报杂志,2005(2):76-78.
[146]周瑞芳,禹建丽.改进的BP神经网络在专利申请量增长率预测中的应用.中原工学院学 报,2005(6):9-11,34.
[147]周瑞芳,禹建丽.基于非线性混沌的专利申请量年增长率组合预测.决策参考,2007(3):31-32.
[148]Anthony A,The relative effectiveness of patents and secrecy for appropriation,Research Policy,2001(30):611-624.
[149]鞠树成.90年代以来中国专利结构区域分布及变动模式研究.情报杂志,2005(12):29-30,33.
[150]中国科技发展战略研究小组.中国区域创新能力报告2005~2006.北京:科学出版社,2006.
[151]饶曼;林友明;郭红;专利申请与授权量的时间序列分析.运筹与管理,2007/06:157-161.
[152]张润利,贺杰.专利与创新系列讲座之一——专利的发展历程.工程机械文摘,2008(1):15-18.
[153]Feldman,M.P.,The Geography of Innovation,Netherlands:Kluwer Academic Publishers,1994.
[154]Cooke,P.,K.Morgan,The Network Paradigm:New Departures in Corporate and Regional Development,Environment and Planning D,1993(11):543-564.
[155][英]A.马歇尔.经济学原理(上下册).北京:商务印书馆,1997.
[156]傅家骥等.技术经济学前沿问题.北京:经济科学出版社,2003.
[157]柳卸林.技术创新经济学.中国经济出版社,1993.
[158]刘从九.基于技术创新的组织结构变革研究.中国科技论坛,2003(5):28-30.
[159]丁云龙,李玉刚.从技术创新角度看产业结构升级模式.哈尔滨工业大学学报(社会科学版),2001(1):78-81.
[160]王珺.企业簇群的创新过程研究.管理世界,2002(10):102-110.
[161]D.Encaoua et al,Patent systems for encouraging innovation:Lessons from economic analysis,Research Policy,2006(35):1423-1440.
[162]M.Buesa et al,Regional systems of innovation and the knowledge production function:the Spanish ease,Technovation,2006(26):463-472.
[163]V.K.纳雷安安.技术战略与创新:竞争优势的源泉.北京:电子工业出版社,2002.
[164]刘月娥.知识产权保护与技术创新.知识产权出版社,2002.
[165]徐明华,包海波.知识产权强国之路——国际知识产权战略研究.知识产权出版社,2003.
[166]杨林村,邓益志,赵力新.国家专利战略研究.北京:知识产权出版社,2006.
[167]Amy Jocelyn Glass,Xiaodong Wu,Intellectual property fights and quality improvement,Journal of Development Economics,2007,82(2):393-415.
[168]Jasjit Singh,Distributed R&D,cross-regional knowledge integration and quality of innovative output,Research Policy,2008,37(1):77-96.
[169]张明龙.我国专利发展现状与趋势分析.发展,2008(1):118-119.
[170]Stuart Macdonald,When means become ends:Considering the impact of patent strategy on innovation,Information Economics and Policy,2004(16):135-158.
[171]Yoshiyuki Takeda,et al,An analysis of geographical agglomeration and modularized industrial networks in a regional cluster:A ease study at Yamagata prefecture in Japan,Technovation,2008,28(8):531-539.
[172]中国科技发展战略研究小组.中国区域创新能力报告2004～2005.北京:知识产权出版社,2005.
[173]Asheim B,Gertler M.,The geography of innovation.,regional innovation system,In:The Oxford Innovation Handbook,New York:Oxford University Press,2005.
[174]Linghui Tang,Peter E.Koveos,Embodied and disembodied R&D spillovers to developed and develolging countries,International Business Review,2008,17(5):546-558.
[175]侯风华,赵国杰.我国东部省市的区域创新能力评价研究.科学管理研究,2008(2):21-23.
[176]邹再进.欠发达地区区域创新论.北京:经济科学出版社,2006.
[177]中国科技发展战略研究小组.中国区域创新能力报告(2001,).北京:中共中央党建出版社,2002.
[178]中国科技发展战略研究小组.中国区域创新能力报告(2002).北京:经济管理出版社,2003.
[179]中国科技发展战略研究小组.中国区域创新能力报告(2003).北京:经济管理出版社,2004.
[180]中国科技发展战略研究小组.中国区域创新能力报告(2004～2005,).北京:知识产权出版社,2005.
[181]Edpuist C,Systems of innovation:perspectives and challenges,In:The Oxford Innovation Handbook,New York:Oxford University Press,2005.
[182]陆立军,郑小碧.区域创新平台的企业参与机制研究.科研管理,2008(2):122-127.
[183]周元,王海燕,赵刚.中国区域自主创新研究报告(2006-2007)——区域自主创新的理论与实践.北京:知识产权出版社,2007.
[184]方秀文.广东省区域科技创新能力综合分析与评价.中国科技论坛,2001(5):25-30.
[185]罗守贵,甄峰.区域创新能力评价研究.南京经济学院学报,2003(3):31-35.
[186]沈菊华.我国区域科技创新能力评价体系的研究和应用.经济问题,2005(8):27-29.
[187]朱海就.区域创新能力评估的指标体系研究.科研管理,2004(3):30-35.
[188]Porter M.,On Competition.Boston,Harvard University Press,1998.
[189]Porter M.,The Competitive Advantage of Nations.Macmillan,New York:Free Press,1990.
[190]桂黄宝.企业创新网络系统内部知识溢出的市场调节机制及溢出效率分析.科学学与科学技术管理,2008(4):107-111.
[191]屠建飞.基于技术转移中心的区域技术创新体系.科技与管理,2008(2):102-104.
[192]Mei-Chih Hu,John A.Mathews,China's national innovative capacity,Research Policy,2008,37(9):1465-1479.
[193]方一兵,范旭.基于区域创新系统的大学与企业之间知识互动关系的实证研究.研究与发展管理,2008(1):110-117.
[194]杨晓龙,宋丽莉.国外区域创新体系中政府政策的比较与启示.北方经济,2008(1):72-74.
[195]Marcus Wagner,Empirical influence of environmental management on innovation:Evidence from Europe,Ecological Economics,2008,66(2-3):392-402.
[196]汪应洛.系统工程.机械工业出版社,2006.
[197]苟建科.专利统计监测系统研究.哈尔滨工业大学管理学硕士学位论文,2005.
[198]Rodney W.Nichols,Innovation,change,and order:Reflections on science and technology in India,China,and the United States,Technology in Society,2008,30(3-4):437-450.
[199]Giovanna Padula,Enhancing the Innovation Performance of Firms by Balancing Cohesiveness and Bridging Ties,Long Range Planning,2008,41(4):395-419.
[200]Atsuyuki Ohyama,Motoh Tsujimura,Induced effects and technological innovation with strategic environmental policy,European Journal of Operational Research, 2008,190(3):834-854
[201]Ting Gao,Regional industrial growth:Evidence from Chinese industries,Regional Science and Urban Economics,2004(34):101-124.
[202]苏方林.中国省域R&D溢出的空间模式研究.科学学研究,2006,24(5):696-701.
[203]邵云飞,唐小我,陈光.中国区域技术创新能力的聚类实证分析.中国软科学,2003(5):113-118.
[204]卢方元,焦科研.中国大中型工业企业技术创新区域差异分析.中国工业经济,2008(2):77-84.
[205]柳卸林.区域创新体系成立的条件和建设的关键因素.中国科技论坛,2003(1):18-22.
[206]宋建元,王德禄.区域创新系统中的政府职能分析.科学学与科学技术管理,2001(11):51-53.
[207]金懿.区域科技创新体系建设中政府功能定位研究.理论学习,2008(3):24,28.
[208]张方华,朱朝晖.长江三角洲”超区域创新体系”的理论模式研究.中国科技论坛,2004(7):44-48.
[209]Wendy Dobson,A.E.Safarian,The transition from imitation to innovation:An enquiry into China's evolving institutions and firm capabilities,Journal of Asian Economics,2008,19(4):301-311.
[210]R.Doddoli,The university-promoted patent at the crossroads of the research results and immediate industrial use,Biomolecular Engineering,2007,24(1):43-46.
[211]Asheim B,Gertler M.,The geography of innovation:regional innovation system,In:The Oxford Innovation Handbook,New York:Oxford University Press,2005.
[212]Edpuist C.,Systems of innovation:perspectives and challenges,In:The Oxford Innovation Handbook,New York:Oxford University Press,2005.
[213]Kazuyuki Motohashi,Licensing or not licensing? An empirical analysis of the strategic use of patents by Japanese firms,Research Policy,2008,37(9):1548-1555.
[214]林昭文,王焕祥.外溢约束下的多重区域创新效率及其增进研究.科研管理,2008(2):128-132.
[215]李晓钟,张小蒂.外商直接投资对我国区域技术创新能力提升影响的分析.国际贸易问题,2007(12):106-111.
[216]Cooke,P.,Regional Innovation Systems:General Findings and some new evidence from Biotechnology Clusters,Journal of Technology transfer,2002(27):133-145.
[217]Freeman C.,Continental,national and sub-national innovation system:complementarity and economic growth,Research Policy,2002(31):191-221.
[218]Sylvie Laforet,Size,strategic,and market orientation affects on innovation,Journal of Business Research,2008,61(7):753-764.
[219]毛昊,张洪吉,王锦旺.基于我国地区经济实力、科技研发费用投入和职务发明专利申请数量产出的计量学分析.科技进步与对策,2008(2):110-115.
[220]饶旻,林友明,郭红.专利申请与授权量的时间序列分析.运筹与管理,2007(6):157-161.
[221]张洪吉,史振宁,毛昊.我国区域合作专利申请状况的统计与分析.统计与决策,2007(15):92-94.
[222]Sheng Xu,Huifang Zhao,A Grey SVM based model for Patent Application Filings Forecasting,2008 IEEE International Conference on Fuzzy Systems(FUZZ 2008),225-230.
[223]Sheng Xu,Huifang Zhao,Grey SVM with Simulated Annealing Algorithms in Patent Application Filings Forecasting,Computational Intelligence and Security Workshops,2007:850-853.
[224]F.Rosenblatt,The perceptron:a probabilistic model for information storage and organization in the brain,Psychological review,65:386-408.
[225]A.M.Turing,Computing machinery and interlligence,Mind,1950(49):433-460.
[226]V.N.Vapnik,The nature of statistical learning theory,New York:Springer-Verlag,2000.
[227]V.N.Vapnik,An overview of statistical learning theory,IEEE Transactions on Neural Networks,1999,10(5):988-999.
[228]Cristianini,N,An introduction to support vector machines and other kernel-based learning methods,England:Cambridge University press,2000.
[229]Gonzalez-Castano,F.J.,Garcia-Palomares,U.M.,Meyer,Robert R.,Projection Support Vector Machine Generators,Machine Learning,2004,540(1):33-44.
[230]Fung,G.M.,Mangasarian,O.L.,Multicategory Proximal Support Vector Machine Classifiers,Machine Learning,2005,59(1):77-97.
[231]边肇祺,张学工.模式识别.北京:清华大学出版社,2000.
[232]Dug Hun Hong,Changha Hwang,Interval regression analysis using quadratic loss support vector machine,IEEE Transactions on Fuzzy Systems,2005,13(2):229-237
[233]Dong Zhang,Luo-Feng Deng,Kai-Yuan Cai,A.So,Fuzzy nonlinear regression with fuzzified radial basis function network,IEEE Transactions on Fuzzy Systems,2005,13(6):742-760.
[234]李国正,王猛,曾华军.支持向量机导论.北京:电子工业出版社,2005.
[235]Sheng Xu,Huifang Zhao,Modeling and Optimization of High-technology Manufacturing Productivity,Lecture Notes in Computer Science,2006:914-920.
[236]Sheng Xu,Huifang Zhao,Modeling and Forecasting of High-Technology Manufacturing labor Productivity Based on Grey Support Vector Machines with Genetic Algorithms,ICMLC2006:2419-2424.
[237]Sheng xu,huifang zhao,kemel principal component analysis support vector machine for regression and applied to stock price forecast,Discrete and Impulsive Systems-series B:Application & Algorithms,2006:925-929.
[238]郭雪松,孙林岩,徐晟.基于P-SVM的绿色供应商评价模型.预测.2007,26(5):7-11.
[239]白杨.人工神经网络在粮食销售额预测中的应用.农机化研究,2005(3):207-208.
[240]Cao L J,Chong W K,Feature extraction in support vector machine:a comparison of PCA,KPCA and ICA,Proceedings of the 9th International Conference on Neural Information Processing,2002(2):1001-1005.
[241]郭辉,王玲,刘贺平.基于核主成分分析与最小二乘支持向量机结合处理时间序列预测问题.北京科技大学学报,2006,28(3):303-306.
[242]李颖新,阮晓钢.基于支持向量机的肿瘤分类特征选取.计算机研究与发展,2005,42(10):1796-1801.
[243]陈光英,张千里,李星.特征选择和SVM训练模型的联合优化.清华大学学报(自然科学版),2004,44(1):9-12.
[244]Sung-Hwan Min,Jumin Lee,Ingoo Hart,Hybrid genetic algorithms and support vector machines for bankruptcy prediction,Expert system with application,2006(31):652-660.
[245]S.Hochreiter,K.Obermayer,Support vector machines for dyadic data,Neural Computation,2006,18(6):1472-1510.
[246]徐晟,赵惠芳,郭雪松.基于P-SVM的区域专利申请量预测模型研究.情报学报,2008(5):781-787.
[247]Huifang Zhao,Sheng Xu,Changhui Yang,A P-SVM and Chaos Based Model for High-Technology Manufacturing Labor Productivity,International Joint Conference on Neural Networks,2008:328-332.
[248]Taeshik Shon,Yongdae Kim,Cheolwon Lee,Jongsub Moon,A machine learning framework for network anomaly detection using SVM and GA[A],Systems,Man and Cybernetics(SMC)Information Assurance Workshop,Proceedings from the Sixth Annual IEEE[C],2005(6):176-183.
[249]Zheng Chunhong,Jiao Licheng,Automatic parameters selection for SVM based on GA[A],Fifth World Congress on Intelligent Control and Automation[C],2004(2):1869-1872.
[250]Zhang Xiangrong,Liu Fang,A pattern classification method based on GA and SVM,6th International Conference on Signal Processing[C],2002(1):110-113.
[251]Storn R,Price K,Differential Evolution-a Simple and Efficient Adaptive Scheme for Global Optimization over Continuous Spaces,Journal of Global Optimization,1997(11):341-359.
[252]徐晟,赵惠芳.Supplier Selection Based on Potential Support Vector Machines Model.系统仿真学报,2008
[253]王刚,高阳,夏洁.基于差异进化算法的人工神经网络快速训练研究.管理学报,2005,2(4):450-454.
[254]冯琦,周德云.基于微分进化算法的时间最优路径规划.计算机工程与应用,2005(12):74-75.
[255]刘隽,周涛,周佩玲.GA优化支持向量机用于混沌时间序列预测.中国科学技术大学学报,2005,35(2):258-262.
[256]Pavia K.,R&D,Patenting and Innovative Activity:A Statistical Exploration,Research Policy,1982,11(1):33-51.
[257]Scherer FM.,The Propensity to Patent,International Journal of Industrial Organization,1983(1):107-128.
[258]Groshby M.,Patents,innovation and growth,Economic Record,2000(76):255-262.
[259]Xinying Y,Shie Y L,Forecasting of hydrologic time series with ridge regression in feature space,Journal of Hydrology,2007,332(3):290-302.
[260]Rabah Amir,Jim Y.Jin,Michael Troege,On additive spillovers and returns to scale in R&D,International Journal of Industrial Organization,2008,26(3):695-703.
[261]Nabil Amara,Réjean Landry,Namatié Traoré,Managing the protection of innovations in knowledge-intensive business services,Research Policy,2008,37(9):1530-1547.
[262]Yi Deng,The value of knowledge spillovers in the U.S.semiconductor industry,Intemational Journal of Industrial Organization,2008,26(4):1044-1058.
[263]Shyama V.Ramani,Mhamed-Ali El-Aroui,Myriam Carrère,On estimating a knowledge production function at the firm and sector level using patent statistics,Research Policy.2008,37(9):1568-1578.
[264]Gottfried Tappeiner,Christoph Hauser,Janette Walde,Regional knowledge spillovers:Fact or artifact? Research Policy,2008,37(5):861-874.
[265]Robert Deiss,Intellectual property organizations and pharmaceutical patents in Africa,Social Science & Medicine,2007,64(2):287-291.
[266]S.Bae,F.Famoye,J.T.Wulu,A.A.Bartolucci,K.P.Singh.A rich family of generalized Poisson regression models with applications,Mathematics and Computers in Simulation,2005,69(1):4-11.
[267]Marcus Wagner,On the relationship between environmental management,environmental innovation and patenting:Evidence from German manufacturing firms,Research Policy,2007,36(10):1587-1602.
[268]韩明.概率论与数理统计.同济大学出版社,2007.
[269]汪学海,祝家麟,林鑫,张永兴.泊松方程的边界节点解法.重庆大学学报(自然科学版),2007,30(12):84-88.
[270]张鸿雁,邓华.二项分布模型系数的确定及其应用.经济数学,第23卷第1期,2006(3):41-45.
[271]刘瑞元,张智霞.二项分布与泊松分布判别的假设检验.青海大学学报(自然科学版),200826(1):44-47.
[272]唐军民,王成名.负二项分布可靠度的经验Bayes估计.工程数学学报,2005,22(6):1039-1047.
[273]S.Bae,F.Famoye,J.T.Wulu,A.A.Bartolucci,K.P.Singh,A rich family of generalized Poisson regression models with applications,Mathematics and Computers in Simulation,2005,69(1):4-11.
[274]贾建闯,金懿.区域科技创新体系建设中政府绩效评价指标体系的建立.科技信息(学术研究),2008(3):371-372.
[275]李宪建.欠发达区域创新体系的功能缺陷与战略对策初探.宁夏党校学报,2008(2):86-89.
[276]鲍丰彬,费利群.对创新区域经济合作发展理论模式的思考.理论学刊,2008(3):47-50.
[277]孙凯.基于DEA的区域创新系统创新效率评价研究.科技管理研究,2008(3):139-141.
[278]李宪建.构建城市技术创新体系提升区域核心竞争力.发展研究,2008(2):49-51.
[279]丁美霞,周民良.中国各省区创新能力的动态趋势与影响因素分析.经济学家,2008(1):63-68.
[280]王燕.自主创新进程中西部地区开放式科技创新体系构建研究.中国科技论坛,2007(7):23-25,121.
[281]刘玉蓓.中国中西部地区开发区的发展与展望——要素投入与区域经济角度下开发区的发展探讨.生产力研究,2007(5):71-73,75.
[282]杨莉莉,王宏起.产业集群与区域经济协调发展机制及对策.科技与管理,2008(2):7-10.
[283]郭淑芬.培育创新极集群:欠发达地区创新系统生成之路.科技管理研究,2008(2):8-9.
[284]单定方,陈昭锋.大学孵化功能开发与深圳创新型城市建设.科技管理研究,2008(2):118-119,122.
[285]戚汝庆.基于区域创新系统的创新合作问题研究.科技管理研究,2007(10):132-134.
[286]高煜,任保平.西部地区区域创新体系构建.商业时代,2008(5):104-105.
[287]Jarvis,C.B.,Mackenzie,S.B.,Podsakoff,P.M.,A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research,Journal of Consumer Research,2003,30(2):199-218.
[288]Sin,YM,& Yau,H.M,The antecedents and consequences of role stress among Chinese salespersons:An exploratory study in Hong Kong,Asia Pacific Journal of Marketing and Logistiy,1995,7(1):62-86.
[289]Bollen K.,Structure Equations With Latent Variables,New York,NY:John Wiley,1989.
[290]Byme,B.M.,Structural Equation Modeling with LISREL,PRELIS,and SIMPL1S;Basic Concepts,Applications,and Programming,New Jersey:Lawrence Erlbaum Associates,Inc.,Publishers,1998.
[291]Wold,H.,Systems analysis by partial least squares In P.Nijkamp,H.Leitner,& N.Wrigley (Eds),Measuring the immeasurable,Boston:Martinus Nijhoff,1985:221-252.
[292]侯杰泰,温忠麟,成子娟.结构方程模型及其应用.北京:教育科学出版社,2004.
[293]孙连荣.结构方程模型(SEM)的原理及操作.宁波大学学报:教育科学版,2005(4):31-34.
[294]Cheung,G.W.Rensvold,R.B.,Evaluating goodness-of-fit indices for testing measurement invariance,Structural Equation Modeling Journal,2002,9(2):233-255.
[295]Chin,W.W.,Issues and Opinion on Structural Equation Modeling,MIS Quarterly,1998,22(1):7-16.
[296]马虎兆,赵莉晓.区域知识产权发展水平影响因素的实证分析.中国科技论坛,2007(11):29-32.
[297]廖卫华.知识产权保护是一场挑战.中国高新技术产业导报,2005.7.4.
[298]梁燕,张素娟等.高校专利评估现状、影响因素及其对策研究.科学学与科学技术管理,2004(4):48-50.
[299]王兆丁,李子和,夏亮辉.制约高校专利申请的因素分析及应对对策.科学学与科学技术管理,2002(8):27-29.
[300]Mare Sarr,Timo Goeschl,Tim Swanson,The value of conserving genetic resources for R&D:A survey,Ecological Economics,2008,67(2):184-193.
[301]Brent B.Allred,Walter G.Park,The influence of patent protection on firm innovation investment in manufacturing industries,Journal of International Management,2007,13(2):91-109.
[302]范丽娜.中国内地专利的空间分布及其影响因素分析.北京师范大学学报(社会科学版),2005(2):138-145.
[303]向萍.高校专利工作的制约因素与对策.理工高教研究,2004(8):52-54.
[304]胡珑瑛,蒋樟生,苟建科.基于BP神经网络的专利统计监测系统研究.技术经济与管理研究,2006(6):39-41.
[305]Berger.R,E ternal,Managing Intellectual Property,Havard Press,2001:26-31.
[306]Harry D.Saunders,Fuel conserving(and using) production functions,Energy Economics,2008,30(5):2184-2235.
[307]William Kingston,The Economics of the European Patent System:IP policy for Innovation and Competition,Dominique Guellec,Bruno van Pottelsberghe de la Potterie,World Patent Information,2007,29(3):268-269.
[308]邵勇.专利指标及其经济效益研究.暨南大学硕士学位论文,2003:24-36.
[309]黄庆,曹津燕等.专利评价指标体系.知识产权,2004(5):22-24.
[310]陈昌柏.知识产权经济学.北京大学出版社,2003:121-156.
[311]H.Jackson Knight,Patent strategy for researchers and research managers,J.Wiley & Sons,2001:18-26.
[312]Liu Xiaming,Pamela Siler Wang,Cheng qi,Wei ~ing qi,Productivity Spillovers from Foreign Direct Investment:Evidence from UK Industry Level Panel Data,Journal of International Business Studies,2000(31):407-425.
[313]高山行,郭华涛.中国专利权质量估计及分析.管理工程学报,2002(3):11-13.
[314]李卫平.由专利申请推论其实施、保护、政策与环境.电子知识产权,1997(6):22-23.
[315]P.Beneito,The innovative performance of in-house and contracted R&D in terms of patents and utility models,Research Policy,2006(35):502-517.
[316]赵莉晓,马虎兆,陈兵.环渤海区域知识产权现状评价.科技进步与对策,2007(8):8-12.
[317]葛仁良,魏雪君.广东专利投入产出效率的实证分析.统计与决策,2005(6):8-10.
[318]郭秋梅.高校专利战略模式构建探讨.技术与创新管理,2005(1):16-18.
[319]陈丽贞.高校科研机构评估体系研究.福州大学学报:哲学社会科学版,2005(5):95-99.
[320]Daniel Coronado,Manuel Acosta,Ana Femández,Attitudes to innovation in peripheral economic regions,Research Policy,2008,37(6-7):1009-1021.
[321]Cristiano Antonelli,Localized technological change and factor markets:constraints and inducements to innovation,Structural Change and Economic Dynamics,2006,17(2):224-247.
[322]曲波,郭海强,任继萍,等.结构方程模型及其应用.中国卫生统计,2005(12):405-407.
[323]王重鸣,陈民科.管理胜任力特征分析:结构方程模型检验.心理科学,2002(5):513-516.
[324]王惠文.偏最小二乘回归方法及其应用.北京:国防工业出版社,1999.
[325]陈正昌,程炳林,陈新丰,等.多变量分析方法——统计软件应用(4版).中国税务出版社,2005.
[326]姚杰,池宏,计雷.带有潜变量的机构方程模型在突发事件应急管理中的应用.中国管理科学,2005(4):44-50.
[327]计雷,池宏,陈安,等.突发事件应急管理.北京:高等教育出版社,2006.
[328]刘希宋,张涛,成勇.新产品开发中供应商整合的结构方程模型.统计与决策,2007(23):170-173.
[329]安新颖,冷伏海.基于结构方程模型的企业自主创新能力研究.科技进步与对策,2008(4):63-66.
[330]吴明隆.SPSS统计应用实务.北京:中国铁道出版社,2001.
[331]郭志刚.社会统计分析方法——SPSS软件应用.北京:中国人民大学出版社,1999.
[332]徐晟,赵惠芳,谢玮.城市专利战略特征及层次分析——合肥市专利战略案例研究.华东经济管理,2005(3):9-11.
[333]赵惠芳,闻祥,徐晟.外商直接投资的区域内知识溢出效应研究.科研管理,2007,28ZK:95-101.
[334]陈辉,赵惠芳,徐晟.我国高新技术产业技工贸总收入与专利类型相关性研究.2007,28ZK:43-47.
[335]赵惠芳,陈继.安徽省大中型工业企业专利申请决策问题研究.华东经济管理,2006,20(1):73-76.
[336]赵惠芳.国有企业创新机制.科学出版社,2004.
[2]Yen-Chun Jim Wu,Pi-Ju Lee,The use of patent analysis in assessing ITS innovations:US,Europe and Japan,Transportation Research Part A:Policy and Practice,2007(6):568-586.
[3]N.van Zeebroeek,N.Stevnsborg,B.van Pottelsberghe de la Potterie,D.Guellec,E,Archontopoulos.Patent inflation in Europe,World Patent Information,2008(1):43-52.
[4]叶静怡,宋芳.中国专利制度变革引致的创新效果研究.经济科学,2006(6):86-96.
[5]蒋满元,唐玉斌.对我国专利制度运行效果的经济分析.科技与经济,2006(3):50-53.
[6]高雯雯,孙成江,刘玉奎.中国专利产出与经济增长的协整分析.情报杂志,2006(1):34-36.
[7]刘华.国际专利制度改革的实证分析及对我国的启示.法律科学,2006(1):149-155.
[8]Kazuyuki Motohashi,Assessment of technological capability in science industry linkage in China by patent database,World Patent Information,2008(3):225-232.
[9]杨林村,邓益志,赵立新.国家专利战略研究(修订版).知识产权出版社,2006.
[10]Yum K.Kwan,Edwin L.C.Lal,Intellectual property rights protection and endogenous economic growth,Journal of Economic Dynamics & Control,2003:853-873.
[11]蔡富有,杜基尔,蒯辙,赵启厚.建设创新型国家与知识产权战略.中国经济出版社,2008.
[12]盛世谊,徐竹青.知识产权与竞争优势.中国社会科学出版社,2005.
[13]徐明华,包海波.知识产权强国之路.知识产权出版社,2003.
[14]包海波,徐竹青,李东华.论政府在知识产权战略中的作用.中国软科学,2004(1):114-120.
[15]吴欣望.日美专利制度的差异及经济绩效分析.科技与管理,2003(6):132-135.
[16]周寄中,张黎,汤超颖.专利制度的效率分析.科技与经济,2006(1):57-60.
[17]许勤.自主创新政策初见成效创新型国家建设任重道远——2007年我国自主创新发展分析.中国经贸导刊,2008(5):25-27.
[18]徐小钦,易长清.知识产权战略对区域创新能力的影响研究.科技管理研究,2007(12):34-36.
[19]易玉.建立知识产权战略绩效评估指标体系的思考.知识产权,2007(1):32-36.
[20]吴贵生,魏守华,徐建国.区域科技论.清华大学出版社,2007.
[21]Dosi,G.,Freeman,C.,Silverberg,G.,Soete,L.,Technical Change and Economic Theory,Pinter Publishers,London,UK,1988.
[22]Freeman,C.,Japan:a new system of innovation,In:Dosi,G.(Ed.),Technical Change and Economic Theory,Pinter Publishers,London,UK,1988:330-348.
[23]Nelson,R.R.,Institutions supporting technical change in the united states,In:Dosi,G.(Ed.),Technical Change and Economic Theory,Pinter Publishers,London,UK,1988:312-329.
[24]Nelson,R.R.(Ed.),National Innovation Systems:A Comparative Analysis,Oxford University Press, New York, 1993.
[25] Nelson, R.R., Wright, G., The rise and fall of American technological leadership: the postwar era in historical perspective, Journal of Economic Literature, 1992, 30 (4): 1931-1964.
[26] Lundvall, B.A., Innovation as an interactive process: from user-producer interaction to the national system of innovation, 1988.
[27] OECD (2004), "Patents and Innovation, Trends and Policy Challenges", OECD Publications. [28] Naubahar Sharif, Emergence and development of the National Innovation Systems concept, Research Policy, 2006,35(5):745-766.
[29] Kazuyuki Motohashi, University-industry collaborations in Japan: The role of new technology-based firms in transforming the National Innovation System, Research Policy, 2005,34(5):583-594.
[30] Mark Dodgson, John Mathews, Tim Kastelle, Mei-Chih Hu, The evolving nature of Taiwan's national innovation system: The case of biotechnology innovation networks, Research Policy, 2008,37(3):430-445.
[31]Niosi, J. (Ed.), Technology and National Competitiveness: Oligopoly, Technological Innovation, and International Competition, Mc-Gill-Queen's University Press, Montreal, 1991.
[32] Porter, M.E., Stern, S., Measuring the 'Ideas' Production Function: Evidence from International Patent Output, MIT Sloan School of Management, Mimeo, 2001.
[33] Stan Metcalfe, Ronnie Ramlogan, Innovation systems and the competitive process in developing economies, The Quarterly Review of Economics and Finance, 2008,48(2): 433-446.
[34] Susan Page Hocevar, Gail Fann Thomas, Erik Jansen, Building Collaborative Capacity: An Innovative Strategy for Homeland Security Preparedness, Advances in Interdisciplinary Studies of Work Teams, 2006(12):255-274.
[35] Porter, M.E., Clusters and Competition: New Agendas for Companies, Governments, and Institutions, on Competition, Harvard Business School Press, Boston, MA, 1998.
[36] J.L. Furman et al, The determinants of national innovative capacity, Research Policy, 2002 (31):899-933.
[37] John A. Mathews, Mei-Chih Hu, Enhancing the Role of Universities in Building National Innovative Capacity in Asia: The Case of Taiwan, World Development, 2007,35(6): 1005-1020.
[38] Jeffrey L. Furman, Michael E. Porter, Scott Stern, The determinants of national innovative capacity, Research Policy, 2002,31(6):899-933.
[39] Frederic Bougrain, Bernard Haudeville, Innovation, collaboration and SMEs internal research capacities, Research Policy, 2002,31(5):735-747.
[40] Mei-Chih Hu, Chun-Yao Tseng, Technological interdependence and knowledge diffusion in the building of national innovative capacity: The role of Taiwan's chemical industry, Technological Forecasting and Social Change, 2007,74(3):298-312.
[41] Mei-Chih Hu, John A. Mathews, National innovative capacity in East Asia, Research Policy, 2005,34(9):1322-1349.
[42] Manuel Laranja, Elvira Uyarra, Kieron Flanagan, Policies for science, technology and innovation: Translating rationales into regional policies in a multi-level setting, Research Policy, 2008,37(5):823-835.
[43] Griliches, Z., Patent statistics as economic indicators: a survey, Journal of Economic Literature, 1990(92):630-653.
[44] Trajtenberg, M., Patents as Indicators of Innovation, Economic Analysis of Product Innovation, Harvard University Press, Cambridge, MA, 1990.
[45] Kazuyuki Motohashi, Xiao Yun, China's innovation system reform and growing industry and science linkages, Research Policy, 2007,36(8): 1251-1260.
[46] Jaffe, A., Trajtenberg, M., Henderson, R., Geographic localization of knowledge spillovers as evidenced by patent citations, The Quarterly Journal of Economics, 1993(434):577-598.
[47] Ting-Lin Lee, Nick von Tunzelmann, A dynamic analytic approach to national innovation systems: The IC industry in Taiwan, Research Policy, 2005,34(4):425-440.
[48] Cooke, P., M. Heindenreich, Regional Innovation Systems: the role of governance in a globalized world, UCL Press, 1996.
[49] Edgar Grande, The erosion of state capacity and the European innovation policy dilemma: A comparison of German and EU information technology policies, Research Policy, 2001,30(6): 905-921.
[50] Mikel Buesa, Joost Heijs, M6nica Martinez Pellitero, Thomas Baumert, Regional systems of innovation and the knowledge production function: the Spanish case, Technovation, 2006,26(4):463-472.
[51] S. Negassi, R&D co-operation and innovation a microeconometric study on French firms, Research Policy, 2004,33(3):365-384.
[52] Hsien-Che Lai, Joseph Z, Shyu. A comparison of innovation capacity at science parks across the Taiwan Strait: the case of Zhangjiang High-Tech Park and Hsinchu Science-based Industrial Park, Technovation, 2005,25(7):805-813.
[53] Jeffrey L. Furman, Richard Hayes, Catching up or standing still? National innovative productivity among 'follower' countries, 1978-1999, Research Policy, 2004,33(9): 1329-1354.
[54] Patrick Ronde, Caroline Hussler, Innovation in regions: What does really matter?, Research Policy, 2005,34(8):1150-1172.
[55] Jan Youtie, Philip Shapira, Building an innovation hub: A case study of the transformation of university roles in regional technological and economic development, Research Policy, 2008,37(8):1188-1204.
[56] Roel Rutten, Frans Boekema, Regional social capital: Embeddedness, innovation networks and regional economic development, Technological Forecasting and Social Change, 2007,74(9): 1834-1846.
[57] Joseph Murphy, Andrew Gouldson, Environmental policy and industrial innovation: integrating environment and economy through ecological modernisation, Geoforum, 2000,31 (1):33-44.
[58] Jeremy Howells, Innovation and regional economic development: A matter of perspective?, Research Policy, 2005,34(8):1220-1234.
[59] Ajay Agrawal, Iain Cockburn, The anchor tenant hypothesis: exploring the role of large, local, R&D-intensive firms in regional innovation systems, International Journal of Industrial Organization, 2003,21(9):1227-1253.
[60] Emmanuel Muller, Andrea Zenker, Business services as actors of knowledge transformation: the role of K.IBS in regional and national innovation systems, Research Policy, 2001,30(9): 1501-1516.
[61] Keller, W., Geographic localization of international technology diffusion, NBER Working Paper, 2000, #7509.
[62] Catherine Turner, Elizabeth Davies, Heather Beattie, Joy Vickerstaff, Graham Wilkinson, Developing an innovative undergraduate curriculum - responding to the 2002 National Review of Nursing Education in Australia, Collegian: Journal of the Royal College of Nursing Australia, 2006,13(2):7-14.
[63] Klaus Kubeczko, Ewald Rametsteiner, Gerhard Weiss, The role of sectoral and regional innovation systems in supporting innovations in forestry, Forest Policy and Economics, 2006,8(7):704-715.
[64] Bernardi Cabrer-Borras, Guadalupe Serrano-Domingo, Innovation and R&D spillover effects in Spanish regions: A spatial approach, Research Policy, 2007,36(9): 1357-1371.
[65] Joaquin M. Azagra-Caro, Fragiskos Archontakis, Antonio Gutierrez-Gracia, Ignacio Fernandez-de-Lucio, Faculty support for the objectives of university-industry relations versus degree of R&D cooperation: The importance of regional absorptive capacity, Research Policy, 2006,35(1):37-55.
[66] Jeong-dong Lee, Chansoo Park, Research and development linkages in a national innovation system: Factors affecting success and failure in Korea, Technovation, 2006,26(9): 1045-1054.
[67] Zhong Xiwei, Yang Xiangdong, Science and technology policy reform and its impact on China's national innovation system, Technology in Society, 2007,29(3):317-325.
[68] Gregory Tassey, The disaggregated technology production function: A new model of university and corporate research, Research Policy, 2005,34(3):287-303.
[69] R. C. Michelini, R. P. Razzoli, Product-service eco-design: Knowledge-based infrastructures, Journal of Cleaner Production, 2004,12(4):415-428.
[70] Griliches, Z. (Ed.), R&D, Patents and Productivity, Chicago University Press, Chicago, IL, 1984.
[71] Griliches, Z., Productivity, R&D, and the data constraint, American Economic Review, 1994(84):1-23.
[72] Griliches, Z., R&D and Productivity: The Econometric Evidence, Chicago University Press, Chicago, IL, 1998.
[73] Jaffe, A.B., "Technological Opportunity and Spillovers of R & D: Evidence from Firms' Patents, Profits, and Market Value", American Economic Review, 1986,76(5):984-1001.
[74] Jaffe, A.B., Fogarty, M.S., Banks, B.A., "Evidence from Patents and Patent Citations on the Impact of NASA and other Federal Labs on Commercial Innovation", Journal of Industrial Economics, 1998,46(2): 183-205.
[75] Jaffe, A.B., Trajtenberg, M., Fogarty, M.S., "The Meaning of Patent Citations: Report on the NBER/Case-Western Reserve Survey of Patentees", NBER Working Paper, 2000(7631)
[76] Romer, P., Endogenous technological change, Journal of Political Economy, 1990(98):71-102.
[77] Grossman, G., Helpman, E., Innovation and Growth in the Global Economy, MIT Press, Cambridge, MA, 1991.
[78] Jones, C., R&D based models of economic growth, Journal of Political Economy, 1995(103):739-784.
[79] Jones, C., Introduction to Economic Growth, WW Norton & Co., New York, 1998.
[80] Kun Chen, Martin Kenney, Universities/Research Institutes and Regional Innovation Systems: The Cases of Beijing and Shenzhen, World Development, 2007,35(6):1056-1074.
[81] Jakub Growiec, Production functions and distributions of unit factor productivities: Uncovering the link, Economics Letters, 2008,101(1):87-90.
[82] R. E. Lee, Putting Humpty Dumpty back together again? The structures of knowledge and the future of the social sciences, Futures, 2003,35(6):621-632.
[83] Murray, F., "The role of academic inventors in entrepreneurial firms, sharing the laboratory life", Research Policy, 2004(33):643-659.
[84] Knut Blind, The impacts of innovations and standards on trade of measurement and testing products: empirical results of Switzerland's bilateral trade flows with Germany, France and the UK, Information Economics and Policy, 2001,13(4):439-460.
[85] Anastasia Litina, Theodore Palivos, Do Inada conditions imply that production function must be asymptotically Cobb-Douglas? A comment, Economics Letters, 2008,99(3):498-499.
[86] Dierk Herzer, Stephan Klasen, Felicitas Nowak-Lehmann D., In search of FDI-led growth in developing countries: The way forward, Economic Modelling, 2008,25(5):793-810.
[87] Narisa Zhao, Tang Huanwen, Luo Xiaona, Research on non-linear input-output model based on production function theory and a new method to update IO coefficients matrix, Applied Mathematics and Computation, 2006,181(1):478-486.
[88] Taoyuan Wei, Impact of energy efficiency gains on output and energy use with Cobb-Douglas production function, Energy Policy, 2007,35(4):2023-2030.
[89] Joe Zhu, Further discussion on linear production functions and DEA, European Journal of Operational Research, 2000,127(3):611-618.
[90] Michael Glykas, Panagiotis Chytas, Technological innovations in asthma patient monitoring and care, Expert Systems with Applications, 2004,27(1):121-131.
[91] Pakes, A., "On Patents, R & D, and the Stock Market Rate of Return", Journal of Political Economy, 1985,93(2).
[92] Pakes, A., "Patents as Options: Some Estimates of the Value of Holding European Patent Stocks", Econometrica, 1986,54(4).
[93] Pakes, A., Simpson, M., Judd, K., Mansfield, E., "Patent Renewal Data", Brookings Papers on Economic Activity, Microeconomics, 1989:331-401.
[94] Arora, A., and Merges, R., "Specialized supply firms, property rights and firm boundaries", Industrial and Corporate Change, 2003(13):451-475.
[95] Arora, A., Ceccagnoli, M., "Patent protection, complementary assets, and firms' incentives for technology licensing", Management Science, forthcoming, 2005.
[96] Eaton, J., Kortum, S., "International Technology Diffusion, Theory and Measurement", International Economic Review, 1999,40(3):537-570.
[97] Kanwar, S., Evenson, R., "Does Intellectual Property Protection Spur Technological Change?", Oxford Economic Papers, 2003(55):235-64.
[98] Maloney, W.F., Lederman, D., "R&D and Development", World Bank Policy Research Working Paper, 2003(3024).
[99] Roger Svensson, Commercialization of patents and external financing during the R&D phase, Research Policy, 2007,36(7): 1052-1069.
[100] Nordhaus, Invention, Growth and Welfare: A Theoretical Treatment of Technological Change, M.I.T. Press, 1969.
[101] Arora, A., "Contracting for Tacit Knowledge: The Provision of Technical Services in Technology Licensing Contracts." Journal of Development Economics 1996(50):233-256.
[102] Cassiman, B. and Veugelers, R., "R&D Cooperation and Spillovers: some empirical evidence from Belgium." The American Economic Review, 2002,92 (4): 1169-1184.
[103] Gans, J., Hsu, D., Stern, S., "When does start-up innovation spur the gale of creative destruction", RAND Journal of Economics, 2002(33):571-586.
[104] Nakamura, K., Odagiri, H., "Determinants of R&D Boundaries of the Firm: An Empirical Study of Commissioned R&D, Joint R&D, and Licensing with Japanese Company Data", NISTEP, Discussion Paper, 2003(32).
[105] Fink, S., Maskus, K.E., IP and development Lessons from recent economic research, World Bank, 2005.
[106] Mansfield, E., "Patents and innovation: An empirical study," Management Science, 1986(32):173-181.
[107] James Bessen, The value of U.S. patents by owner and patent characteristics, Research Policy, 2008,37(5):932-945.
[108] Ashish Arora, Marco Ceccagnoli, Wesley M. Cohen, R&D and the patent premium, International Journal of Industrial Organization, 2008,26(5): 1153-1179.
[109] Arijit Mukherjee, Patents and R&D with imitation and licensing, Economics Letters, 2006,93(2):196-201.
[110] Deng, Y., Essays on the evaluation of European patents, PhD Thesis, Yale University, 2003.
[111] Amy Jocelyn Glass, Substitution in R&D across countries, Japan and the World Economy, 2003,15(4):373-390.
[112] Hall, B.H., Jaffe. A., Trajtenberg, M., "Market value and patent citations", RAND Journal of Economics, forthcoming, 2005.
[113] Cohen, W.M., Goto, A.,Nagata, A., Nelson, R.R., "R&D spillovers, patents and the incentives to innovate in Japan and the United States", Research Policy, 2002(31):1349-1367.
[114] Rivette, K.G., Kline, D., "Discovering New Value in Intellectual Property", Harvard Business Review, 2000,78(1):54-66.
[115] Markus Reitzig, Joachim Henkel, Christopher Heath, On sharks, trolls, and their patent prey—Unrealistic damage awards and firms' strategies of "being infringed", Research Policy, 2007,36(1):134-154.
[116] Gilbert, R., Newberry, D., "Preemptive Patenting and the Persistence of Monopoly", American Economic Review, 1992(72):514-526.
[117] Bunch, D.S., Smiley, R., "Who Deters Entry? Evidence on the Use of Strategic Entry Deterrents", Review of Economics and Statistics, 1992,74(3):509-521.
[118] Bessen, J., Hunt, R.M., An Empirical Look at Software Patents, Federal Reserve Bank of Philadelphia, Working Paper, 2004, No. 03-17/R.
[119] Goto, A.(ed), Odagiri, H. (ed), Innovation in Japan, Clarendon Press, Oxford, 1997.
[120] Arundel, A., "The Relative Effectiveness of Patents and Secrecy for Appropriation", Research Policy, 2001(30):611-624.
[121] Blind, K., Thumm, N., "Interrelation between patenting and standardisation strategies: empirical evidence and policy mplications", Research Policy, 2004(33): 1583-1598.
[122] Reitzig, M., "The private values of 'thickets' and 'fences', towards an updated picture of the use of patents across industries", Economics of Innovation & New Technology, 2004(13):457-476.
[123]Cohen,W.M.,Nelson,R.R.,Walsh,J.P.,"Links and Impacts,The Influence of Public Research on Industrial R&D",Management Science,2002(48):1-23.
[124]Cohen,W.M.,"Patents and Appropriation:Concerns and Evidence",Journal of Technology Transfer,2004(30):57-71.
[125]Walsh,J.P.,Arora,A.,Cohen,W.M.,"Effects of Research Tool Patents and Licensing on Biomedical Innovation," in W.Cohen and S.Merrill,eds.,Patents in the Knowledge-Based Economy,Washington,D.C.National Academies Press,2003.
[126]Helpman,E.,"Innovation,Imitation,and Intellectual Property Rights",Econometfica,1993(6):1247-1280.
[127]Chen,D.H.C.,Dahlman,C.J.,"Knowledge and Development,A Cross-Section Approach",The World Bank,Policy Research Working Paper,2004,n.3366.
[128]Theo Eicher,Cecilia Garcia-Penalosa,Endogenous strength of intellectual property rights:Implications for economic development and growth,European Economic Review,2008,52(2):237-258.
[129]Debasis Mondal,Manash Ranjan Gupta,Innovation,imitation and intellectual property rights:Introducing migration in Helpman's model,Japan and the World Economy,2008,20(3):369-394.
[130]Yuichi Furukawa,The protection of intellectual property rights and endogenous growth:Is stronger always better?,Journal of Economic Dynamics and Control,2007,31(11):3644-3670.
[131]Winston T.H.Koh,Terrorism and its impact on economic growth and technological innovation,Technological Forecasting and Social Change,2007,74(2):129-138.
[132]Chih-Hai Yang,Is innovation the story of Taiwan's economic growth?,Journal of Asian Economics,2006,17(5):867-878.
[133]Francois Leveque,Yann Ménière,Academic response to the European Commission's Questionnaire on the patent system in Europe:An economic approach,World.Patent Information,2006,28(4):305-311.
[134]Cheung Kui-yin,Ping LIN,Spillover effects of FDI on innovation in China:Evidence from the provincial data,China Economic Review,2004,15(1):25-44.
[135]王勇,张岩.鼓励专利申请促进专利发展.山西科技,2003(1):34,40.
[136]徐竹青.专利、技术创新与经济增长:理论与实证.科技管理研究,2004(5):109-111.
[137]李绩才,王晓波,余竹生.我国专利申请与科技创新研究.科技管理研究,2004(1):29-31.
[138]郭文娟,黄非.发明专利申请量与我国企业的创新主体地位.统计研究,2006(2):9-12.
[139]刘多兰.强化情报意识提升专利申请量.现代情报,2006(6):208-210.
[140]李平,刘建.FDI、国外专利申请与中国各地区的技术进步——国际技术扩散视角的实证分析.国际贸易问题,2006(7):99-104.
[141]吴欣望.专利制度的经济学分析.武汉大学博士论文,2004.
[142]何丽梅.从专利申请看城市的技术创新能力——以无锡市为例.社会科学家,2007(2):159-161.
[143]徐晟,赵惠芳,郭雪松.我国专利申请量的支持向量机预测模型研究.运筹与管理,2007(5):137-141.
[144]张敦富,傅晓东.区域经济合作与区域分工问题研究.长江论坛,2000(6):16-19.
[145]潘雄锋,刘凤朝.中国专利申请结构的分析与预测.情报杂志,2005(2):76-78.
[146]周瑞芳,禹建丽.改进的BP神经网络在专利申请量增长率预测中的应用.中原工学院学 报,2005(6):9-11,34.
[147]周瑞芳,禹建丽.基于非线性混沌的专利申请量年增长率组合预测.决策参考,2007(3):31-32.
[148]Anthony A,The relative effectiveness of patents and secrecy for appropriation,Research Policy,2001(30):611-624.
[149]鞠树成.90年代以来中国专利结构区域分布及变动模式研究.情报杂志,2005(12):29-30,33.
[150]中国科技发展战略研究小组.中国区域创新能力报告2005~2006.北京:科学出版社,2006.
[151]饶曼;林友明;郭红;专利申请与授权量的时间序列分析.运筹与管理,2007/06:157-161.
[152]张润利,贺杰.专利与创新系列讲座之一——专利的发展历程.工程机械文摘,2008(1):15-18.
[153]Feldman,M.P.,The Geography of Innovation,Netherlands:Kluwer Academic Publishers,1994.
[154]Cooke,P.,K.Morgan,The Network Paradigm:New Departures in Corporate and Regional Development,Environment and Planning D,1993(11):543-564.
[155][英]A.马歇尔.经济学原理(上下册).北京:商务印书馆,1997.
[156]傅家骥等.技术经济学前沿问题.北京:经济科学出版社,2003.
[157]柳卸林.技术创新经济学.中国经济出版社,1993.
[158]刘从九.基于技术创新的组织结构变革研究.中国科技论坛,2003(5):28-30.
[159]丁云龙,李玉刚.从技术创新角度看产业结构升级模式.哈尔滨工业大学学报(社会科学版),2001(1):78-81.
[160]王珺.企业簇群的创新过程研究.管理世界,2002(10):102-110.
[161]D.Encaoua et al,Patent systems for encouraging innovation:Lessons from economic analysis,Research Policy,2006(35):1423-1440.
[162]M.Buesa et al,Regional systems of innovation and the knowledge production function:the Spanish ease,Technovation,2006(26):463-472.
[163]V.K.纳雷安安.技术战略与创新:竞争优势的源泉.北京:电子工业出版社,2002.
[164]刘月娥.知识产权保护与技术创新.知识产权出版社,2002.
[165]徐明华,包海波.知识产权强国之路——国际知识产权战略研究.知识产权出版社,2003.
[166]杨林村,邓益志,赵力新.国家专利战略研究.北京:知识产权出版社,2006.
[167]Amy Jocelyn Glass,Xiaodong Wu,Intellectual property fights and quality improvement,Journal of Development Economics,2007,82(2):393-415.
[168]Jasjit Singh,Distributed R&D,cross-regional knowledge integration and quality of innovative output,Research Policy,2008,37(1):77-96.
[169]张明龙.我国专利发展现状与趋势分析.发展,2008(1):118-119.
[170]Stuart Macdonald,When means become ends:Considering the impact of patent strategy on innovation,Information Economics and Policy,2004(16):135-158.
[171]Yoshiyuki Takeda,et al,An analysis of geographical agglomeration and modularized industrial networks in a regional cluster:A ease study at Yamagata prefecture in Japan,Technovation,2008,28(8):531-539.
[172]中国科技发展战略研究小组.中国区域创新能力报告2004～2005.北京:知识产权出版社,2005.
[173]Asheim B,Gertler M.,The geography of innovation.,regional innovation system,In:The Oxford Innovation Handbook,New York:Oxford University Press,2005.
[174]Linghui Tang,Peter E.Koveos,Embodied and disembodied R&D spillovers to developed and develolging countries,International Business Review,2008,17(5):546-558.
[175]侯风华,赵国杰.我国东部省市的区域创新能力评价研究.科学管理研究,2008(2):21-23.
[176]邹再进.欠发达地区区域创新论.北京:经济科学出版社,2006.
[177]中国科技发展战略研究小组.中国区域创新能力报告(2001,).北京:中共中央党建出版社,2002.
[178]中国科技发展战略研究小组.中国区域创新能力报告(2002).北京:经济管理出版社,2003.
[179]中国科技发展战略研究小组.中国区域创新能力报告(2003).北京:经济管理出版社,2004.
[180]中国科技发展战略研究小组.中国区域创新能力报告(2004～2005,).北京:知识产权出版社,2005.
[181]Edpuist C,Systems of innovation:perspectives and challenges,In:The Oxford Innovation Handbook,New York:Oxford University Press,2005.
[182]陆立军,郑小碧.区域创新平台的企业参与机制研究.科研管理,2008(2):122-127.
[183]周元,王海燕,赵刚.中国区域自主创新研究报告(2006-2007)——区域自主创新的理论与实践.北京:知识产权出版社,2007.
[184]方秀文.广东省区域科技创新能力综合分析与评价.中国科技论坛,2001(5):25-30.
[185]罗守贵,甄峰.区域创新能力评价研究.南京经济学院学报,2003(3):31-35.
[186]沈菊华.我国区域科技创新能力评价体系的研究和应用.经济问题,2005(8):27-29.
[187]朱海就.区域创新能力评估的指标体系研究.科研管理,2004(3):30-35.
[188]Porter M.,On Competition.Boston,Harvard University Press,1998.
[189]Porter M.,The Competitive Advantage of Nations.Macmillan,New York:Free Press,1990.
[190]桂黄宝.企业创新网络系统内部知识溢出的市场调节机制及溢出效率分析.科学学与科学技术管理,2008(4):107-111.
[191]屠建飞.基于技术转移中心的区域技术创新体系.科技与管理,2008(2):102-104.
[192]Mei-Chih Hu,John A.Mathews,China's national innovative capacity,Research Policy,2008,37(9):1465-1479.
[193]方一兵,范旭.基于区域创新系统的大学与企业之间知识互动关系的实证研究.研究与发展管理,2008(1):110-117.
[194]杨晓龙,宋丽莉.国外区域创新体系中政府政策的比较与启示.北方经济,2008(1):72-74.
[195]Marcus Wagner,Empirical influence of environmental management on innovation:Evidence from Europe,Ecological Economics,2008,66(2-3):392-402.
[196]汪应洛.系统工程.机械工业出版社,2006.
[197]苟建科.专利统计监测系统研究.哈尔滨工业大学管理学硕士学位论文,2005.
[198]Rodney W.Nichols,Innovation,change,and order:Reflections on science and technology in India,China,and the United States,Technology in Society,2008,30(3-4):437-450.
[199]Giovanna Padula,Enhancing the Innovation Performance of Firms by Balancing Cohesiveness and Bridging Ties,Long Range Planning,2008,41(4):395-419.
[200]Atsuyuki Ohyama,Motoh Tsujimura,Induced effects and technological innovation with strategic environmental policy,European Journal of Operational Research, 2008,190(3):834-854
[201]Ting Gao,Regional industrial growth:Evidence from Chinese industries,Regional Science and Urban Economics,2004(34):101-124.
[202]苏方林.中国省域R&D溢出的空间模式研究.科学学研究,2006,24(5):696-701.
[203]邵云飞,唐小我,陈光.中国区域技术创新能力的聚类实证分析.中国软科学,2003(5):113-118.
[204]卢方元,焦科研.中国大中型工业企业技术创新区域差异分析.中国工业经济,2008(2):77-84.
[205]柳卸林.区域创新体系成立的条件和建设的关键因素.中国科技论坛,2003(1):18-22.
[206]宋建元,王德禄.区域创新系统中的政府职能分析.科学学与科学技术管理,2001(11):51-53.
[207]金懿.区域科技创新体系建设中政府功能定位研究.理论学习,2008(3):24,28.
[208]张方华,朱朝晖.长江三角洲”超区域创新体系”的理论模式研究.中国科技论坛,2004(7):44-48.
[209]Wendy Dobson,A.E.Safarian,The transition from imitation to innovation:An enquiry into China's evolving institutions and firm capabilities,Journal of Asian Economics,2008,19(4):301-311.
[210]R.Doddoli,The university-promoted patent at the crossroads of the research results and immediate industrial use,Biomolecular Engineering,2007,24(1):43-46.
[211]Asheim B,Gertler M.,The geography of innovation:regional innovation system,In:The Oxford Innovation Handbook,New York:Oxford University Press,2005.
[212]Edpuist C.,Systems of innovation:perspectives and challenges,In:The Oxford Innovation Handbook,New York:Oxford University Press,2005.
[213]Kazuyuki Motohashi,Licensing or not licensing? An empirical analysis of the strategic use of patents by Japanese firms,Research Policy,2008,37(9):1548-1555.
[214]林昭文,王焕祥.外溢约束下的多重区域创新效率及其增进研究.科研管理,2008(2):128-132.
[215]李晓钟,张小蒂.外商直接投资对我国区域技术创新能力提升影响的分析.国际贸易问题,2007(12):106-111.
[216]Cooke,P.,Regional Innovation Systems:General Findings and some new evidence from Biotechnology Clusters,Journal of Technology transfer,2002(27):133-145.
[217]Freeman C.,Continental,national and sub-national innovation system:complementarity and economic growth,Research Policy,2002(31):191-221.
[218]Sylvie Laforet,Size,strategic,and market orientation affects on innovation,Journal of Business Research,2008,61(7):753-764.
[219]毛昊,张洪吉,王锦旺.基于我国地区经济实力、科技研发费用投入和职务发明专利申请数量产出的计量学分析.科技进步与对策,2008(2):110-115.
[220]饶旻,林友明,郭红.专利申请与授权量的时间序列分析.运筹与管理,2007(6):157-161.
[221]张洪吉,史振宁,毛昊.我国区域合作专利申请状况的统计与分析.统计与决策,2007(15):92-94.
[222]Sheng Xu,Huifang Zhao,A Grey SVM based model for Patent Application Filings Forecasting,2008 IEEE International Conference on Fuzzy Systems(FUZZ 2008),225-230.
[223]Sheng Xu,Huifang Zhao,Grey SVM with Simulated Annealing Algorithms in Patent Application Filings Forecasting,Computational Intelligence and Security Workshops,2007:850-853.
[224]F.Rosenblatt,The perceptron:a probabilistic model for information storage and organization in the brain,Psychological review,65:386-408.
[225]A.M.Turing,Computing machinery and interlligence,Mind,1950(49):433-460.
[226]V.N.Vapnik,The nature of statistical learning theory,New York:Springer-Verlag,2000.
[227]V.N.Vapnik,An overview of statistical learning theory,IEEE Transactions on Neural Networks,1999,10(5):988-999.
[228]Cristianini,N,An introduction to support vector machines and other kernel-based learning methods,England:Cambridge University press,2000.
[229]Gonzalez-Castano,F.J.,Garcia-Palomares,U.M.,Meyer,Robert R.,Projection Support Vector Machine Generators,Machine Learning,2004,540(1):33-44.
[230]Fung,G.M.,Mangasarian,O.L.,Multicategory Proximal Support Vector Machine Classifiers,Machine Learning,2005,59(1):77-97.
[231]边肇祺,张学工.模式识别.北京:清华大学出版社,2000.
[232]Dug Hun Hong,Changha Hwang,Interval regression analysis using quadratic loss support vector machine,IEEE Transactions on Fuzzy Systems,2005,13(2):229-237
[233]Dong Zhang,Luo-Feng Deng,Kai-Yuan Cai,A.So,Fuzzy nonlinear regression with fuzzified radial basis function network,IEEE Transactions on Fuzzy Systems,2005,13(6):742-760.
[234]李国正,王猛,曾华军.支持向量机导论.北京:电子工业出版社,2005.
[235]Sheng Xu,Huifang Zhao,Modeling and Optimization of High-technology Manufacturing Productivity,Lecture Notes in Computer Science,2006:914-920.
[236]Sheng Xu,Huifang Zhao,Modeling and Forecasting of High-Technology Manufacturing labor Productivity Based on Grey Support Vector Machines with Genetic Algorithms,ICMLC2006:2419-2424.
[237]Sheng xu,huifang zhao,kemel principal component analysis support vector machine for regression and applied to stock price forecast,Discrete and Impulsive Systems-series B:Application & Algorithms,2006:925-929.
[238]郭雪松,孙林岩,徐晟.基于P-SVM的绿色供应商评价模型.预测.2007,26(5):7-11.
[239]白杨.人工神经网络在粮食销售额预测中的应用.农机化研究,2005(3):207-208.
[240]Cao L J,Chong W K,Feature extraction in support vector machine:a comparison of PCA,KPCA and ICA,Proceedings of the 9th International Conference on Neural Information Processing,2002(2):1001-1005.
[241]郭辉,王玲,刘贺平.基于核主成分分析与最小二乘支持向量机结合处理时间序列预测问题.北京科技大学学报,2006,28(3):303-306.
[242]李颖新,阮晓钢.基于支持向量机的肿瘤分类特征选取.计算机研究与发展,2005,42(10):1796-1801.
[243]陈光英,张千里,李星.特征选择和SVM训练模型的联合优化.清华大学学报(自然科学版),2004,44(1):9-12.
[244]Sung-Hwan Min,Jumin Lee,Ingoo Hart,Hybrid genetic algorithms and support vector machines for bankruptcy prediction,Expert system with application,2006(31):652-660.
[245]S.Hochreiter,K.Obermayer,Support vector machines for dyadic data,Neural Computation,2006,18(6):1472-1510.
[246]徐晟,赵惠芳,郭雪松.基于P-SVM的区域专利申请量预测模型研究.情报学报,2008(5):781-787.
[247]Huifang Zhao,Sheng Xu,Changhui Yang,A P-SVM and Chaos Based Model for High-Technology Manufacturing Labor Productivity,International Joint Conference on Neural Networks,2008:328-332.
[248]Taeshik Shon,Yongdae Kim,Cheolwon Lee,Jongsub Moon,A machine learning framework for network anomaly detection using SVM and GA[A],Systems,Man and Cybernetics(SMC)Information Assurance Workshop,Proceedings from the Sixth Annual IEEE[C],2005(6):176-183.
[249]Zheng Chunhong,Jiao Licheng,Automatic parameters selection for SVM based on GA[A],Fifth World Congress on Intelligent Control and Automation[C],2004(2):1869-1872.
[250]Zhang Xiangrong,Liu Fang,A pattern classification method based on GA and SVM,6th International Conference on Signal Processing[C],2002(1):110-113.
[251]Storn R,Price K,Differential Evolution-a Simple and Efficient Adaptive Scheme for Global Optimization over Continuous Spaces,Journal of Global Optimization,1997(11):341-359.
[252]徐晟,赵惠芳.Supplier Selection Based on Potential Support Vector Machines Model.系统仿真学报,2008
[253]王刚,高阳,夏洁.基于差异进化算法的人工神经网络快速训练研究.管理学报,2005,2(4):450-454.
[254]冯琦,周德云.基于微分进化算法的时间最优路径规划.计算机工程与应用,2005(12):74-75.
[255]刘隽,周涛,周佩玲.GA优化支持向量机用于混沌时间序列预测.中国科学技术大学学报,2005,35(2):258-262.
[256]Pavia K.,R&D,Patenting and Innovative Activity:A Statistical Exploration,Research Policy,1982,11(1):33-51.
[257]Scherer FM.,The Propensity to Patent,International Journal of Industrial Organization,1983(1):107-128.
[258]Groshby M.,Patents,innovation and growth,Economic Record,2000(76):255-262.
[259]Xinying Y,Shie Y L,Forecasting of hydrologic time series with ridge regression in feature space,Journal of Hydrology,2007,332(3):290-302.
[260]Rabah Amir,Jim Y.Jin,Michael Troege,On additive spillovers and returns to scale in R&D,International Journal of Industrial Organization,2008,26(3):695-703.
[261]Nabil Amara,Réjean Landry,Namatié Traoré,Managing the protection of innovations in knowledge-intensive business services,Research Policy,2008,37(9):1530-1547.
[262]Yi Deng,The value of knowledge spillovers in the U.S.semiconductor industry,Intemational Journal of Industrial Organization,2008,26(4):1044-1058.
[263]Shyama V.Ramani,Mhamed-Ali El-Aroui,Myriam Carrère,On estimating a knowledge production function at the firm and sector level using patent statistics,Research Policy.2008,37(9):1568-1578.
[264]Gottfried Tappeiner,Christoph Hauser,Janette Walde,Regional knowledge spillovers:Fact or artifact? Research Policy,2008,37(5):861-874.
[265]Robert Deiss,Intellectual property organizations and pharmaceutical patents in Africa,Social Science & Medicine,2007,64(2):287-291.
[266]S.Bae,F.Famoye,J.T.Wulu,A.A.Bartolucci,K.P.Singh.A rich family of generalized Poisson regression models with applications,Mathematics and Computers in Simulation,2005,69(1):4-11.
[267]Marcus Wagner,On the relationship between environmental management,environmental innovation and patenting:Evidence from German manufacturing firms,Research Policy,2007,36(10):1587-1602.
[268]韩明.概率论与数理统计.同济大学出版社,2007.
[269]汪学海,祝家麟,林鑫,张永兴.泊松方程的边界节点解法.重庆大学学报(自然科学版),2007,30(12):84-88.
[270]张鸿雁,邓华.二项分布模型系数的确定及其应用.经济数学,第23卷第1期,2006(3):41-45.
[271]刘瑞元,张智霞.二项分布与泊松分布判别的假设检验.青海大学学报(自然科学版),200826(1):44-47.
[272]唐军民,王成名.负二项分布可靠度的经验Bayes估计.工程数学学报,2005,22(6):1039-1047.
[273]S.Bae,F.Famoye,J.T.Wulu,A.A.Bartolucci,K.P.Singh,A rich family of generalized Poisson regression models with applications,Mathematics and Computers in Simulation,2005,69(1):4-11.
[274]贾建闯,金懿.区域科技创新体系建设中政府绩效评价指标体系的建立.科技信息(学术研究),2008(3):371-372.
[275]李宪建.欠发达区域创新体系的功能缺陷与战略对策初探.宁夏党校学报,2008(2):86-89.
[276]鲍丰彬,费利群.对创新区域经济合作发展理论模式的思考.理论学刊,2008(3):47-50.
[277]孙凯.基于DEA的区域创新系统创新效率评价研究.科技管理研究,2008(3):139-141.
[278]李宪建.构建城市技术创新体系提升区域核心竞争力.发展研究,2008(2):49-51.
[279]丁美霞,周民良.中国各省区创新能力的动态趋势与影响因素分析.经济学家,2008(1):63-68.
[280]王燕.自主创新进程中西部地区开放式科技创新体系构建研究.中国科技论坛,2007(7):23-25,121.
[281]刘玉蓓.中国中西部地区开发区的发展与展望——要素投入与区域经济角度下开发区的发展探讨.生产力研究,2007(5):71-73,75.
[282]杨莉莉,王宏起.产业集群与区域经济协调发展机制及对策.科技与管理,2008(2):7-10.
[283]郭淑芬.培育创新极集群:欠发达地区创新系统生成之路.科技管理研究,2008(2):8-9.
[284]单定方,陈昭锋.大学孵化功能开发与深圳创新型城市建设.科技管理研究,2008(2):118-119,122.
[285]戚汝庆.基于区域创新系统的创新合作问题研究.科技管理研究,2007(10):132-134.
[286]高煜,任保平.西部地区区域创新体系构建.商业时代,2008(5):104-105.
[287]Jarvis,C.B.,Mackenzie,S.B.,Podsakoff,P.M.,A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research,Journal of Consumer Research,2003,30(2):199-218.
[288]Sin,YM,& Yau,H.M,The antecedents and consequences of role stress among Chinese salespersons:An exploratory study in Hong Kong,Asia Pacific Journal of Marketing and Logistiy,1995,7(1):62-86.
[289]Bollen K.,Structure Equations With Latent Variables,New York,NY:John Wiley,1989.
[290]Byme,B.M.,Structural Equation Modeling with LISREL,PRELIS,and SIMPL1S;Basic Concepts,Applications,and Programming,New Jersey:Lawrence Erlbaum Associates,Inc.,Publishers,1998.
[291]Wold,H.,Systems analysis by partial least squares In P.Nijkamp,H.Leitner,& N.Wrigley (Eds),Measuring the immeasurable,Boston:Martinus Nijhoff,1985:221-252.
[292]侯杰泰,温忠麟,成子娟.结构方程模型及其应用.北京:教育科学出版社,2004.
[293]孙连荣.结构方程模型(SEM)的原理及操作.宁波大学学报:教育科学版,2005(4):31-34.
[294]Cheung,G.W.Rensvold,R.B.,Evaluating goodness-of-fit indices for testing measurement invariance,Structural Equation Modeling Journal,2002,9(2):233-255.
[295]Chin,W.W.,Issues and Opinion on Structural Equation Modeling,MIS Quarterly,1998,22(1):7-16.
[296]马虎兆,赵莉晓.区域知识产权发展水平影响因素的实证分析.中国科技论坛,2007(11):29-32.
[297]廖卫华.知识产权保护是一场挑战.中国高新技术产业导报,2005.7.4.
[298]梁燕,张素娟等.高校专利评估现状、影响因素及其对策研究.科学学与科学技术管理,2004(4):48-50.
[299]王兆丁,李子和,夏亮辉.制约高校专利申请的因素分析及应对对策.科学学与科学技术管理,2002(8):27-29.
[300]Mare Sarr,Timo Goeschl,Tim Swanson,The value of conserving genetic resources for R&D:A survey,Ecological Economics,2008,67(2):184-193.
[301]Brent B.Allred,Walter G.Park,The influence of patent protection on firm innovation investment in manufacturing industries,Journal of International Management,2007,13(2):91-109.
[302]范丽娜.中国内地专利的空间分布及其影响因素分析.北京师范大学学报(社会科学版),2005(2):138-145.
[303]向萍.高校专利工作的制约因素与对策.理工高教研究,2004(8):52-54.
[304]胡珑瑛,蒋樟生,苟建科.基于BP神经网络的专利统计监测系统研究.技术经济与管理研究,2006(6):39-41.
[305]Berger.R,E ternal,Managing Intellectual Property,Havard Press,2001:26-31.
[306]Harry D.Saunders,Fuel conserving(and using) production functions,Energy Economics,2008,30(5):2184-2235.
[307]William Kingston,The Economics of the European Patent System:IP policy for Innovation and Competition,Dominique Guellec,Bruno van Pottelsberghe de la Potterie,World Patent Information,2007,29(3):268-269.
[308]邵勇.专利指标及其经济效益研究.暨南大学硕士学位论文,2003:24-36.
[309]黄庆,曹津燕等.专利评价指标体系.知识产权,2004(5):22-24.
[310]陈昌柏.知识产权经济学.北京大学出版社,2003:121-156.
[311]H.Jackson Knight,Patent strategy for researchers and research managers,J.Wiley & Sons,2001:18-26.
[312]Liu Xiaming,Pamela Siler Wang,Cheng qi,Wei ~ing qi,Productivity Spillovers from Foreign Direct Investment:Evidence from UK Industry Level Panel Data,Journal of International Business Studies,2000(31):407-425.
[313]高山行,郭华涛.中国专利权质量估计及分析.管理工程学报,2002(3):11-13.
[314]李卫平.由专利申请推论其实施、保护、政策与环境.电子知识产权,1997(6):22-23.
[315]P.Beneito,The innovative performance of in-house and contracted R&D in terms of patents and utility models,Research Policy,2006(35):502-517.
[316]赵莉晓,马虎兆,陈兵.环渤海区域知识产权现状评价.科技进步与对策,2007(8):8-12.
[317]葛仁良,魏雪君.广东专利投入产出效率的实证分析.统计与决策,2005(6):8-10.
[318]郭秋梅.高校专利战略模式构建探讨.技术与创新管理,2005(1):16-18.
[319]陈丽贞.高校科研机构评估体系研究.福州大学学报:哲学社会科学版,2005(5):95-99.
[320]Daniel Coronado,Manuel Acosta,Ana Femández,Attitudes to innovation in peripheral economic regions,Research Policy,2008,37(6-7):1009-1021.
[321]Cristiano Antonelli,Localized technological change and factor markets:constraints and inducements to innovation,Structural Change and Economic Dynamics,2006,17(2):224-247.
[322]曲波,郭海强,任继萍,等.结构方程模型及其应用.中国卫生统计,2005(12):405-407.
[323]王重鸣,陈民科.管理胜任力特征分析:结构方程模型检验.心理科学,2002(5):513-516.
[324]王惠文.偏最小二乘回归方法及其应用.北京:国防工业出版社,1999.
[325]陈正昌,程炳林,陈新丰,等.多变量分析方法——统计软件应用(4版).中国税务出版社,2005.
[326]姚杰,池宏,计雷.带有潜变量的机构方程模型在突发事件应急管理中的应用.中国管理科学,2005(4):44-50.
[327]计雷,池宏,陈安,等.突发事件应急管理.北京:高等教育出版社,2006.
[328]刘希宋,张涛,成勇.新产品开发中供应商整合的结构方程模型.统计与决策,2007(23):170-173.
[329]安新颖,冷伏海.基于结构方程模型的企业自主创新能力研究.科技进步与对策,2008(4):63-66.
[330]吴明隆.SPSS统计应用实务.北京:中国铁道出版社,2001.
[331]郭志刚.社会统计分析方法——SPSS软件应用.北京:中国人民大学出版社,1999.
[332]徐晟,赵惠芳,谢玮.城市专利战略特征及层次分析——合肥市专利战略案例研究.华东经济管理,2005(3):9-11.
[333]赵惠芳,闻祥,徐晟.外商直接投资的区域内知识溢出效应研究.科研管理,2007,28ZK:95-101.
[334]陈辉,赵惠芳,徐晟.我国高新技术产业技工贸总收入与专利类型相关性研究.2007,28ZK:43-47.
[335]赵惠芳,陈继.安徽省大中型工业企业专利申请决策问题研究.华东经济管理,2006,20(1):73-76.
[336]赵惠芳.国有企业创新机制.科学出版社,2004.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |