Journal articles: 'Patent Statistics'

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Nikzad, Rashid. "Canadian patent profile: Some explorations in patent statistics." World Patent Information 35, no. 3 (September 2013): 201–8. http://dx.doi.org/10.1016/j.wpi.2013.03.001.

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Jun, Sunghae. "Patent Statistics for Technology Analysis." International Journal of Software Engineering and Its Applications 9, no. 5 (May 31, 2015): 155–64. http://dx.doi.org/10.14257/ijseia.2015.9.5.15.

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Rajeswari, A. R. "Indian patent statistics—An analysis." Scientometrics 36, no. 1 (May 1996): 109–30. http://dx.doi.org/10.1007/bf02126649.

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Jun, Sung-Hae, and Dai-Ho Uhm. "Patent and Statistics, What's the Connection?" Communications for Statistical Applications and Methods 17, no. 2 (March 31, 2010): 205–22. http://dx.doi.org/10.5351/ckss.2010.17.2.205.

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JUNG, Won-Gyo, Sang-Sung PARK, and Dong-Sik JANG. "Patent Registration Prediction Methodology Using Multivariate Statistics." IEICE Transactions on Information and Systems E94-D, no. 11 (2011): 2219–26. http://dx.doi.org/10.1587/transinf.e94.d.2219.

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Fung∗, Michael K., and William W. Chow†. "Identification of technological structures using patent statistics." Economics of Innovation and New Technology 12, no. 4 (August 2003): 293–313. http://dx.doi.org/10.1080/1043859022000000826.

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Dang, Jianwei, and Kazuyuki Motohashi. "Patent statistics: A good indicator for innovation in China? Patent subsidy program impacts on patent quality." China Economic Review 35 (September 2015): 137–55. http://dx.doi.org/10.1016/j.chieco.2015.03.012.

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Akkucuk, Ulas, and Mehmet Nafi Artemel. "Patent Data Visualization." International Journal of Research in Business and Social Science (2147-4478) 5, no. 3 (April 20, 2016): 66–79. http://dx.doi.org/10.20525/ijrbs.v5i3.358.

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The importance given by the governments to building a sound intellectual property infrastructure is increasing in developing countries and especially in Central Asian countries. This infrastructure is continuously improved to live up to a common standard in collaboration with government agencies, educational institutions and international agencies. In this paper, the infrastructure developments that took place in the Central Asian countries is going to be elaborated and furthermore some statistical analyses will be used in order to compare the differences and similarities between the Central Asian republics within themselves and the rest of the world. Patent based statistical data reveal a broad range of information concerning the innovative capability of countries, regions and firms. The number of patents that a country obtains in different technological fields and the change in this number over the years may provide useful information regarding the growth potential of the country and the ability to follow technological advances. For this purpose, patent statistics collected by institutions like World Intellectual Property Organization (WIPO) have been analyzed using statistical techniques. In addition to basic statistics, multidimensional scaling analysis (MDS) has been applied to the data sets.

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Carlson, Steven C., and Willy Chang. "“Obviously” a challenge: Patent survival statistics & tips." Industrial Biotechnology 5, no. 3 (September 2009): 172–73. http://dx.doi.org/10.1089/ind.2009.3.172.

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Sternitzke, Christian, Adam Bartkowski, Heike Schwanbeck, and Reinhard Schramm. "Patent and literature statistics – The case of optoelectronics." World Patent Information 29, no. 4 (December 2007): 327–38. http://dx.doi.org/10.1016/j.wpi.2007.03.003.

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Chakraborty, Manajit, Maksym Byshkin, and Fabio Crestani. "Patent citation network analysis: A perspective from descriptive statistics and ERGMs." PLOS ONE 15, no. 12 (December 3, 2020): e0241797. http://dx.doi.org/10.1371/journal.pone.0241797.

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Patent Citation Analysis has been gaining considerable traction over the past few decades. In this paper, we collect extensive information on patents and citations and provide a perspective of citation network analysis of patents from a statistical viewpoint. We identify and analyze the most cited patents, the most innovative and the highly cited companies along with the structural properties of the network by providing in-depth descriptive analysis. Furthermore, we employ Exponential Random Graph Models (ERGMs) to analyze the citation networks. ERGMs enables understanding the social perspectives of a patent citation network which has not been studied earlier. We demonstrate that social properties such as homophily (the inclination to cite patents from the same country or in the same language) and transitivity (the inclination to cite references’ references) together with the technicalities of the patents (e.g., language, categories), has a significant effect on citations. We also provide an in-depth analysis of citations for sectors in patents and how it is affected by the size of the same. Overall, our paper delves into European patents with the aim of providing new insights and serves as an account for fitting ERGMs on large networks and analyzing them. ERGMs help us model network mechanisms directly, instead of acting as a proxy for unspecified dependence and relationships among the observations.

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Jung, Sungchang, and Keun-Young Imm. "The patent activities of Korea and Taiwan: a comparative case study of patent statistics." World Patent Information 24, no. 4 (December 2002): 303–11. http://dx.doi.org/10.1016/s0172-2190(02)00069-8.

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Heinrich, Sebastian, Florian Seliger, and Martin Wörter. "Appropriability and basicness of R&D: Identifying and characterising product and process inventions in patent data." PLOS ONE 17, no. 8 (August 15, 2022): e0272225. http://dx.doi.org/10.1371/journal.pone.0272225.

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We present a database that classifies all patent applications filed at either the United States Patent and Trademark Office (USPTO) or the European Patent Office (EPO) as being either product patents, process patents or ‘mixed patents’. We use the share of claims that refer to either product or process inventions which allows to classify all patent applications along a continuum of pure process patents and pure product patents. We find that process-oriented patents draw more on previous knowledge, are more original and more radical than product patents. Lower breadth of protection is positively associated with pure process patenting, whereas product and mixed variants can be protected more broadly. This characterisation uncovers heterogeneity of patented inventions that allows for a more sophisticated use of patent statistics. It can improve the accuracy of analyses, but also reveal new aspects related to property rights.

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Fung, Michael K., and William W. Chow. "Measuring the intensity of knowledge flow with patent statistics." Economics Letters 74, no. 3 (February 2002): 353–58. http://dx.doi.org/10.1016/s0165-1765(01)00558-4.

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Kronz, Hermann. "Patent statistics at the commission of the european communities." ASEAN Journal on Science and Technology for Development 1, no. 1 (November 24, 2017): 134–38. http://dx.doi.org/10.29037/ajstd.287.

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Wang, Ling, Xu Zhi, Haokun Ke, Sainan Lv, Ning He, Hong Zhou, and Hongxia Hao. "Global patent statistical analysis for drug testing technology." Technology and Health Care 29 (March 25, 2021): 415–25. http://dx.doi.org/10.3233/thc-218039.

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BACKGROUND: In recent decades, illicit drug testing has become a high priority area in law enforcement and forensic analysis. OBJECTIVE: Since patents are the largest source of technical information in the world, patent database analysis for illicit drug testing is extremely important to effectively promote the development and protection of the related intellectual property rights. METHODS: In the present study, we first retrieve a database of 1732 drug detection patents using keywords and logical expressions related to the title, abstract, and claims, and subsequently discuss the current global patent statistics in detail. RESULTS: The relevant patent information is presented, including patent application quantity, filing country, ownership, and technical field. CONCLUSIONS: Finally, we summarize the current development trend in drug testing and propose several suggestions focused on the bottleneck of analytical techniques.

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M., Prabodh, Chaitanya Prasad K., Ashish S., Suthakaran R., and Abhijit K. "INDONESIAN PATENT SYSTEM: AN OVERVIEW." International Journal of Drug Regulatory Affairs 2, no. 2 (February 12, 2018): 26–30. http://dx.doi.org/10.22270/ijdra.v2i2.129.

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Intellectual property protection is a one type of protection to the innovator from their creative efforts. On November 1, 1991, the Indonesian Parliament passed Law No. 6/1989 on Patents. The new law came into effect on August 1, 1991. The patenting system in Indonesia is discussed using some recent statistics and their fees, patent exclusivity, litigation, grace period. As of 1989, there have been over 13,000 applications for temporary patent registration, 96% of which were of foreign origins. None of the applications were denied, were ever granted because no patent Law existed. In this paper discussed brief introduction about Indonesia patent system.

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Sandrik, Karen. "An Empirical Study: Willful Infringement & Enhanced Damages in Patent Law After Halo." Michigan Technology Law Review, no. 28.1 (2021): 61. http://dx.doi.org/10.36645/mtlr.28.1.empirical.

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For decades, companies and attorneys have instructed teams of engineers, researchers, and computer scientists to ignore patents. The reasoning for this advice: if there is no pre-suit knowledge of a patent, then it is nearly impossible for a patent holder to prove that enhanced damages are warranted. Pre-suit knowledge is a prerequisite for a finding of willful infringement, which is itself a prerequisite for awarding enhanced damages. The median patent damages award is around ten million dollars, and large companies like Intel, Teva Pharmaceuticals, Microsoft, and Abbott Laboratories have all recently faced billion-dollar patent infringement judgments. In this landscape, a multiplier of up to three times the compensatory damages is strong motivation for companies to purposely create a patent-ignorant work environment. Yet this advice defeats an important goal of patent law: the disclosure and dissemination of technological information. How can technology companies learn from new and nonobvious innovation disclosed in patents if their heads are stuck in the sand? In this empirical study with data spanning 2010 to 2020, I provide a data-driven answer to whether this deliberate ignorance strategy is effective. The answer, in short, is that reading patents, conducting patent clearance searches, and/or responding to cease-and-desist letters does not, in isolation, open the door to enhanced damages. Finally, by employing an original data set to seek this answer and potential solutions to deliberate patent ignorance, this study provides empirical statistics regarding willful infringement and enhanced damages. This includes empirical statistics illustrating the impact of the 2016 Supreme Court decision, Halo Electronics v. Pulse Electronics.

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RICHTER, RALF, and JOCHEN STREB. "Catching-Up and Falling Behind: Knowledge Spillover from American to German Machine Toolmakers." Journal of Economic History 71, no. 4 (November 14, 2011): 1006–31. http://dx.doi.org/10.1017/s0022050711002221.

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Today, German machine toolmakers accuse their Chinese competitors of violating patent rights and imitating German technology. A century ago, German machine toolmakers used the same methods to imitate American technology. To understand the dynamics of this catching-up process, we use patent statistics to analyze firms’ activities between 1877 and 1932. We show that German firms deployed imitating strategies in the late nineteenth century and the 1920s to catch-up to their American competitors. The German administration supported this strategy by stipulating a patent law that discriminated against foreign patent holders and by delaying the granting of patents to foreign applicants.

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Bai, Xu, Yun Liu, Gangbo Wang, and Changcun Wen. "The pattern of technological accumulation." Journal of Manufacturing Technology Management 28, no. 1 (February 6, 2017): 39–55. http://dx.doi.org/10.1108/jmtm-10-2016-0136.

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Purpose The national technology accumulation pattern in three-dimensional (3D) printing technology field has not yet been studied until now. This paper is to fill this gap. To be specific, the purpose of this paper is to answer the following two questions. What is the comparative advantage of 3D printing technology among countries? What is the relative impact of 3D printing technology in the worldwide? Design/methodology/approach Patent bibliometric analysis was used for analyzing and collecting data to find critical information of 3D printing. Some indicators (RTA, FSGI, RII, CV) have been applied in analyzing the national patterns of technology accumulation in developed and developing countries by using patent statistics. Findings First, the USA, Japan, and Germany are the leading countries in 3D printing technology, while the technology accumulation patterns of these countries are rather different. Second, Israel and Italy have good performance in the fast-growing technology sub-fields. Third, although the number of patents owned by developing countries, such as China and Russia, is not few, the citations received by these patents are low. Research limitations/implications A limitation of this study is that technological development can be reflected by many indicators and patent statistic is merely one reflection form. This study just analyzes the 3D printing technology development from the perspective of patent statistic, the authors would like to continue the comprehensive analysis with the other data indicators in a future study. Originality/value The national technology accumulation pattern in 3D printing technology field has not yet been studied until now. This paper is to fill this gap.

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NIKULAINEN, TUOMO, RAINE HERMANS, and MARTTI KULVIK. "PATENT CITATIONS INDICATING PRESENT VALUE OF THE BIOTECHNOLOGY BUSINESS." International Journal of Innovation and Technology Management 05, no. 03 (September 2008): 279–301. http://dx.doi.org/10.1142/s0219877008001436.

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In this paper our aim is to assess the potential of using patent statistics in predicting the future sales anticipations and present value of a company active in the science-based industry. Instead of using conventional patent and patent application counts as indicators, we constructed patent citation weighted portfolios for each company. This way the heterogeneity of patents can be taken into account. Our data covers biotechnology patents held by Finnish biotechnology companies. Empirical results imply that particularly backward citations are related to present value estimations of the companies. In contrast to some previous studies, forward citations do not seem to predict the present value estimations. The findings provide some important implications on interpreting the significance of patent citations regarding valuation of science-based companies, and planning technology and innovation policies.

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Sternitzke, Christian, Adam Bartkowski, and Reinhard Schramm. "Visualizing patent statistics by means of social network analysis tools." World Patent Information 30, no. 2 (June 2008): 115–31. http://dx.doi.org/10.1016/j.wpi.2007.08.003.

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Pavitt, K. "Patent statistics as indicators of innovative activities: Possibilities and problems." Scientometrics 7, no. 1-2 (January 1985): 77–99. http://dx.doi.org/10.1007/bf02020142.

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Alvarez-Meaza, I., E. Zarrabeitia-Bilbao, R. M. Rio-Belver, I. Martinez de Alegria, and I. Bildosola. "Patentometric: monitoring the scientific and technological trends of Additive Manufacturing in Medical Applications." International Journal of Production Management and Engineering 7 (June 5, 2019): 65. http://dx.doi.org/10.4995/ijpme.2019.10789.

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<p>Patents are a means of protecting inventions developed by firms, institutions or individuals, and they may be interpreted as indicators of invention. Patents indicators convey information on the processes of inventive activities. Therefore, patent statistics will assess science and technology (S&T) activities. Besides, additive manufacturing (AM) has become a revolutionary technology that is changing medical science. For this reason, the patent statistics will allow us to monitor what is the state of the inventive activity of AM in medical applications. The database used in order to retrieve patent information is Patseer and the data have been analyzed through the analytics package called Quick Stats. From the data obtained, it can be concluded that, additive manufacturing in medical applications is an emerging technology with huge market potential. Undoubtedly, the core of invention is located in United States, followed by Germany, United Kingdom and China somewhat behind. Firms are the main holders of legal rights, and the firm’s market value and the knowledge diffusion of technology are ensured by the technological diversity and the number of forward citations presented by patents.</p>

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Rinkel, Lambertus J. "Statistics on patents in the field of metallocenes and alumoxanes at the European Patent Office." World Patent Information 20, no. 3-4 (September 1998): 153–59. http://dx.doi.org/10.1016/s0172-2190(99)00004-6.

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Park, Sangsung, and Sunghae Jun. "Patent Analysis Using Bayesian Data Analysis and Network Modeling." Applied Sciences 12, no. 3 (January 28, 2022): 1423. http://dx.doi.org/10.3390/app12031423.

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Patent analysis is to analyze patent data to understand target technology. Patent data contains various detailed information about the developed technology. Therefore, many studies concerning patent analysis have been carried out in the technology analysis fields. Most traditional methods for technology analysis were based on qualitative approaches such as Delphi survey. However, the patent analysis methods based on statistics and machine learning have been introduced recently. In this paper, we proposed a statistical method for quantitative patent analysis. Moreover, we selected drone technology as the target technology for patent analysis. To understand drone technology, we analyzed the patents on drone technology. We searched the patent documents related to drone technology and transformed them to structured data using text mining techniques. First, we visualized the patent keywords to identify the technological structure of a drone. Next, using Bayesian additive regression trees, we analyzed the structured patent data to construct technology scenarios for drones. To illustrate the performance and validity of our proposed research, we presented the experimental results of patent analysis using patent documents related to drone technology.

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Sood, James, and Frank DuBois. "The use of patent statistics to measure and predict international competitiveness." International Trade Journal 9, no. 3 (September 1995): 363–79. http://dx.doi.org/10.1080/08853909508523834.

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Watanabe, Chihiro, Youichirou S. Tsuji, and Charla Griffy-Brown. "Patent statistics: deciphering a ‘real’ versus a ‘pseudo’ proxy of innovation." Technovation 21, no. 12 (December 2001): 783–90. http://dx.doi.org/10.1016/s0166-4972(01)00025-6.

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Kogler, Dieter Franz, Gaston Heimeriks, and Loet Leydesdorff. "Patent portfolio analysis of cities: statistics and maps of technological inventiveness." European Planning Studies 26, no. 11 (October 29, 2018): 2256–78. http://dx.doi.org/10.1080/09654313.2018.1530147.

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Kijek, Tomasz. "Intellectual property rights and appropriability of innovation capital: evidence from Polish manufacturing firms." Equilibrium 11, no. 2 (June 30, 2016): 387. http://dx.doi.org/10.12775/equil.2016.018.

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This paper tries to find how firms use IPRs in the form of patents to protect innovation capital and find determinants of their effectiveness. The research is based on a large sample of 2960 Polish manufacturing firms that were engaged in developing and/or implementing a product or process innovation in the years 2010–2012. Besides descriptive statistics which show firms’ attitudes toward the effectiveness of patents and their determinants, I apply the knowledge production function to find a link between patent propensity, R&D and innovation performance. Descriptive analyses show that Polish manufacturing firms rarely use patents as the appropriability mechanism, which results in the low level of their perceived effectiveness. It also turns out that the perceived effectiveness of a patent depends on a firm’s size, the innovation type and technological opportunities. In turn, the results of the knowledge production function estimation allow me to conclude that an increase in patent propensity affects the firm’s innovation performance positively.

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Cho, Ilgu, and Myeongcheol Park. "Technological-level evaluation using patent statistics: model and application in mobile communications." Cluster Computing 18, no. 1 (March 25, 2014): 259–68. http://dx.doi.org/10.1007/s10586-014-0368-x.

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Lee, Kong‐Rae, and Wonkyung Rhee. "Identifying leading Korean industries and firms based on patent and export statistics." Asian Journal of Technology Innovation 16, no. 2 (January 2008): 167–85. http://dx.doi.org/10.1080/19761597.2008.9668662.

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Li, Shugang, Lirong Zhu, Boyi Zhu, Ru Wang, Lingling Zheng, Zhaoxu Yu, and Hanyu Lu. "Mining technology hot spots in the 3D printing industry for technology strategic planning based on MRCAI." Journal of Intelligent & Fuzzy Systems 39, no. 5 (November 19, 2020): 7135–49. http://dx.doi.org/10.3233/jifs-200404.

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3D printing is the important part of the emerging industry, and the accurate prediction of technology hot spots (THS) in the 3D printing industry is crucial for the strategic technology planning. The patents of the THS are always in the minority and have outlier characteristics, so the existing single and rigid models cannot accurately and robustly predict the THS. In order to make up for the shortcomings of the existing research, this study proposes a model for robust composite attraction indicator (MRCAI), which avoids the impact of outlier patents on prediction accuracy depending on not only extracting the patent attraction indicators (AIs) but also constructing the robust composite attraction indicator (CAI) according to the rough consensus of predicted results of CAIs with high generalization. Specifically, firstly, this study selects the patent AIs from the four dimensions of the attraction: technology group attraction, state attraction, enterprise attraction and inventor attraction. Secondly, in order to completely describe the attraction features of patent, AIs are directly and indirectly integrated into CAIs. Thirdly, we reduce the influence of outlier patents on prediction accuracy from two aspects: on the one hand, we initially select the CAIs with good generalization performance based on the prediction error fluctuation range. On the other hand, we build the robust CAIs by calculating the consensus of CAIs with high generalization performance based on the rough set. Fourthly, the 3D printing industry technology attention matrix is constructed to map the effective technology strategic planning based on predicted patent backward citation count by MRCAI in the short, medium and long term. Finally, the experimental results on 3D printing patent data show that MRCAI can effectively improve the efficiency in dealing with samples with outlier patents and has strong flexibility and robustness in predicting the THS in 3D printing industry.

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Ervits, Irina. "Geography of corporate innovation." Multinational Business Review 26, no. 1 (April 16, 2018): 25–49. http://dx.doi.org/10.1108/mbr-07-2017-0052.

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Purpose The purpose of this paper is to identify major developments in corporate innovation. The author focuses on the behavioral differences between MNEs from developed and emerging markets in the way they locate their R&D activities. Design/methodology/approach With the help of descriptive statistics, the paper identifies major trends in the global distribution of innovative activity. The novel source of patent statistics, Patent Cooperation Treaty (PCT) applications, is used as a proxy for innovative effort by leading MNEs. This paper is among the first attempts to analyze the global geography of innovation based on PCT statistics. Findings The analysis underscores differences in the patenting activities of MNEs from emerging and advanced markets. It confirms that innovative activity by major MNEs remains largely home-based, which contradicts the premise of the global nature of corporate innovation. At the same time, the growing importance of China as a research center attracts MNEs from a variety of developed markets. Emerging MNEs also file patent applications domestically. Most Chinese R&D subsidiaries of MNEs from advanced economies in our sample do not pursue technological specialization, as they produce patents in the same technological areas as the corporate headquarters or other subsidiaries. Originality/value A number of assumptions about the innovation geography of major MNEs were empirically tested. An attempt was made to fill the gaps in our understanding of innovation strategies pursued by MNEs in emerging markets. The author uses the concept of MNEs as meta-integrators to explain the observed dynamics. Its explanatory power is more convincing as applied to our data than the concept of national systems of innovation.

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Ilina, S. A. "Patent Activity of Domestic and Foreign Applicants as an Indicator of Scientific and Technological Development of Russia: An Analysis of Current Statistics." World of new economy 13, no. 4 (December 4, 2019): 31–40. http://dx.doi.org/10.26794/2220-6469-2019-13-4-31-40.

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This article presents an analysis of the patent activity of domestic and foreign applicants in Russia, based on the data from patent statistics for 2009–2018. The source of the study was the data of the annual reports of Rospatent. The purpose of this research is to identify the indicators of patent activity and their dynamics. It allows us to assess the current state of scientific and technical potential and emerging trends in the scientific and technological development of Russia. The research concerns intellectual property related to the objects of patent rights according to the Russian civil law: inventions, utility models and industrial designs. This article presents an analysis of the patent activity in Russia concerning inventions. The author revealed that in recent years there had been a decreasing interest in this type of patent rights objects from both domestic and foreign applicants, which has harmed the dynamics of patent activity indicators regarding inventions.

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Chybowska, Dorota, Leszek Chybowski, and Valeri Souchkov. "Is Poland an Innovative Country?" Management Systems in Production Engineering 26, no. 1 (March 1, 2018): 35–41. http://dx.doi.org/10.2478/mspe-2018-0006.

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Abstract The potential for innovativeness is difficult to measure, though many have attempted to do so. In order to look at Poland’s innovation potential, its current position and its opportunity to grow, compared with developing and developed countries, this study analysed the patent statistics of the Polish and European Patent Offices. Poland has been a member of the European Union for over a decade now. Therefore, we took into consideration the statistics for patent applications and grants for the last decade, up to the first quarter of 2016. The questions we wanted to answer concerned not only the technology fields that Poland patented its inventions in, but also the types of patent grantees and applicants. In order to determine why Poland is still considered to be only a moderate innovator by the Innovation Union Scoreboard, we also gathered information on Polish inventors abroad in 2015 and the first quarter of 2016, to see their number, technology fields, and types of patent grantees. Finally, we attempted to identify the main barriers that seem to inhibit Polish technology and innovation growth, despite significantly growing R&D intensities (up from 0.56 GDP and EUR 1,139 M in 2004 to 0.94 GDP and EUR 3,864 M in 2014).

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Willits, Iain, Kim Keltie, Robert Henderson, Mark de Belder, Nicholas Linker, Hannah Patrick, Helen Powell, et al. "Patent foramen ovale closure: A prospective UK registry linked to hospital episode statistics." PLOS ONE 17, no. 7 (July 14, 2022): e0271117. http://dx.doi.org/10.1371/journal.pone.0271117.

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Aims PFO closure is a percutaneous intervention, which aims to reduce risk of recurrent stroke by preventing paradoxical embolism. The objective of this study was to measure procedural safety and longer-term effectiveness of PFO closure in a UK setting. Methods and results Prospective registry data from patients with cryptogenic stroke eligible for PFO closure were collected for up to 2 years and linked to routine data sources for additional follow-up. Outcomes of interest included procedural success rate, health related quality of life, and longer-term death and neurological event rates. A total of 973 PFO closure procedures in 971 patients were included in analysis. Successful device implantation was achieved in 99.4 [95% CI 98.6 to 99.8]% of procedures, with one in-hospital death. During median follow-up of 758 (Q1:Q3 527:968) days, 33 patients experienced a subsequent neurological event, 76% of which were ischaemic in origin. Neurological event rate was 2.7 [95%CI 1.6 to 3.9]% at 1-year (n = 751) and 4.1 [95% CI 2.6 to 5.5]% at 2-years (n = 463) using Kaplan-Meier analysis. Improvements in patient quality of life (utility and visual analogue scale) were observed at 6-weeks and 6-months follow-up. Conclusion Our observational study demonstrates that PFO closure for prevention of recurrent stroke is a relatively safe procedure but in routine clinical practice is associated with a slightly higher risk of recurrent neurological events than in randomised trials. We hypothesize that our study enrolled unselected patients with higher baseline risk, who were excluded from randomised trials, but who may benefit from a similar relative reduction in risk from the intervention.

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Igami, Mitsuru, and Jai Subrahmanyam. "Patent Statistics as an Innovation Indicator? Evidence from the Hard Disk Drive Industry." Japanese Economic Review 70, no. 3 (September 2019): 308–30. http://dx.doi.org/10.1111/jere.12234.

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Rozhkov, Sergej, and Ludmila Ivantcheva. "Scientometrical indicators of national science & technology policy based on patent statistics data." World Patent Information 20, no. 3-4 (September 1998): 161–66. http://dx.doi.org/10.1016/s0172-2190(98)00046-5.

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Antipov, A. A., and M. A. Shubin. "Analysis of the Russian Market of Patent Attorneys (In Russ.)." Economics. Law. Innovaion, no. 4 (December 30, 2021): 64–73. http://dx.doi.org/10.17586/2713-1874-2021-4-64-73.

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The article presents a study of the Russian segment of the patent attorney services market. For this purpose, the activities of leading Russian legal and patent companies are considered, their activities and the activities of patent attorneys are analyzed, as well as a comparative analysis of statistical results. As conclusions, the provisions are given that at the present stage of development of the market of patent attorneys in Russia, one can expect the growth of companies providing services in the field of patenting and protection of intellectual property objects. Also, based on statistics, it can be assumed that Russian consumers will trust domestic firms even more, which may negatively affect the activities of foreign companies.

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Park, Sangsung, Seongyong Choi, and Sunghae Jun. "Bayesian Structure Learning and Visualization for Technology Analysis." Sustainability 13, no. 14 (July 15, 2021): 7917. http://dx.doi.org/10.3390/su13147917.

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To perform technology analysis, we usually search patent documents related to target technology. In technology analysis using statistics and machine learning algorithms, we have to transform the patent documents into structured data that is a matrix of patents and keywords. In general, this matrix is very sparse because its most elements are zero values. The data is not satisfied with data normality assumption. However, most statistical methods require the assumption for data analysis. To overcome this problem, we propose a patent analysis method using Bayesian structure learning and visualization. In addition, we apply the proposed method to technology analysis of extended reality (XR). XR technology is integrated technology of virtual and real worlds that includes all of virtual, augmented and mixed realities. This technology is affecting most of our society such as education, healthcare, manufacture, disaster prevention, etc. Therefore, we need to have correct understanding of this technology. Lastly, we carry out XR technology analysis using Bayesian structure learning and visualization.

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Butnik-Siverskyi, Oleksandr, and Hennadii Androshchuk. "Methodological grounds of the patent landscape in the system of intellectual national security." Theory and Practice of Intellectual Property, no. 4 (October 25, 2021): 71–86. http://dx.doi.org/10.33731/42021.243178.

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Keywords: intellectual property, national intellectual security, research methodology,patent landscape, comparative economic statistics The articleexamines intellectual national security in security science as a new direction of development,which requires the development of theoretical and methodological grounds inobtaining results that are fixed in the course of grounding of real external and internalthreats. It is grounded the need for deep study of the development of an effectivemethodology of intellectual national security, which includes methods of the patentlandscape, that determined the purpose of the study, which was the methodology ofthe patent landscape on the economic nature and patterns of development of intellectualnational security in the direction of counteracting internal and external threats.It is noted that the patent landscape is not a tool that has features of completeness,but is considered as a research methodology that includes methods of search andanalysis, evaluation of the results and their effectiveness of impact. It is consideredthe methodology of the research of patent landscape for the purposes of intellectualnational security, which aims to generalize methodical approaches for various tasksof counteracting internal and external threats in the system of intellectual nationalsecurity and includes technological analysis, competitive analysis, territorial analysisand analysis of patent portfolio (patented intellectual assets) of specific company or companies and requires concrete methodical support and standardization of reporting,and in some cases the establishment of standards or substantive restrictions. Themethodology is considered as a large-scale variant of patent search and from theangle of the real state and prospects of transformation processes in the direction of researchingthreats to national security using known global databases of patent statisticsand comparative economic statistics to identify benefits or waste of financial andmaterial resources.

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Grytsulenko, Svitlana I. "Analyzing the Tendencies in the Technological Development of the Countries of the World in the Context of Patent Statistics." PROBLEMS OF ECONOMY 2, no. 52 (2022): 4–12. http://dx.doi.org/10.32983/2222-0712-2022-2-4-12.

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In the face of increased competition in the world market, the issue of assessing the factors of influence on the technological development of the world countries is actualized. To this end, the article measures the indicators of patent activity in the context of individual regions and countries of the world, together with technological areas, using the patent statistics databases. According to the results of the research, the following main conclusions are made: – a noteworthy feature of modernity is the dynamic growth of patent activity (+42% for 2012-2021) as a significant criterion for technological development of the world countries; – in particular, the active patent position of three Asian countries (China, Japan, South Korea: a combined share of 54.1% of PCT applications in 2021) provided them with leading positions in the international patenting of inventions, as well as control over large niches of the global market in the field of computer (31.4%) and digital (26.7%) technologies, as well as electrical machine-building (20.2%); – the first-rank status belongs to China, which in both computer (15.6%), and digital technologies (15.2%) is ahead of even the United States (12.4% and 9.7%, respectively), where these technologies de facto originated; – a significant sphere of U.S. interests in the global market are also medical technologies (10.8%), while for Germany it is energy (10.3%) and transport (9.6%); – however, Ukraine has no place on the world technological map, as indicated by almost zero share of patent activity (0.06% in 2012; 0.05% in 2021) and its negative dynamics (–17%). Taking into account the extremely negative assessments obtained for Ukraine, which is a contradiction with the global tendency, the need to raise patent activity appears a key task of technical and technological reconstruction of the economy.

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Ciano, T., P. Fotia, B. A. Pansera, and M. Ferrara. "Inventors Dynamics in Balkanic Area: Evidences by a Network Analysis." Economics of Science 7, no. 4 (December 8, 2021): 230–42. http://dx.doi.org/10.22394/2410-132x-2021-7-4-230-242.

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Abstract: Patent data is a key source of information for innovation economists. In recent decades it has been possible to observe its significant diffusion and success mainly thanks either to archives digitization or to authorities’ greater openness with respect to patent granting procedure. Furthermore, the use of this information over time has not been limited to simple statistics on patents and their classification, but, going further, has extended to the analysis of applicants, inventors, citations, and much more. By this seminal paper, we are going to analyze starting from Data analysis related to a selection of Balkanic Countries, chosen among the most dynamic in innovation process and production of patents: Croatia, Serbia, and Bosnia and Herzegovina. How it will explain into the work, this selection was not accidental: the aim was to represent the evolution of these Countries, in terms of patent internationalization, depending on their “link” with the European Union, not all Western Balkan Countries are in fact part of it. Croatia, an official EU member since 2012, was chosen as the representative state of European influence. Some interesting results were obtained with a novel approach by social network analysis techniques.

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Khachatryan, Davit, and Brigitte Muehlmann. "Measuring technological breadth and depth of patent documents using Rao’s Quadratic Entropy." Journal of Applied Statistics 46, no. 15 (May 21, 2019): 2819–44. http://dx.doi.org/10.1080/02664763.2019.1619072.

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Florencio, Marcio Nannini da Silva, Antonio Martins Oliveira Junior, and Ana Karla de Souza Abud. "Desenvolvimento tecnológico da biotecnologia para a saúde no Brasil." International Journal of Innovation 8, no. 3 (December 17, 2020): 541–63. http://dx.doi.org/10.5585/iji.v8i3.17928.

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Objective of the study: This study aims to analyze the technological development of health biotechnology in Brazil in the period from 2007 to 2016.Methodology: The research methodology was based on a quantitative approach with the application of statistical methods aligned with patent analysis. Data collection was carried out on the institutional page of the National Institute of Industrial Property (INPI). The health biotechnology patents were classified according to the definitions presented by the Biotechnology Development Policy (PDB).Originality/Relevance: This study brings new contributions to the literature on the technological development of biotechnology when dealing with the sectoral level.Main results: The results obtained showed a total of 503 patents granted, with applications that mostly involve human health (70%). The development of drugs for the treatment of metabolic or endocrinological diseases is notorious, while vaccines have greater applications in the prevention of veterinary diseases. Also, patent ownership belongs mostly to large companies in developed countries.Theoretical/methodological contributions: The study deepened the understanding of the technological development of biotechnology in Brazil using patent indicators and allowed us to understand this dynamic in the sectorial context involving health.Social/managerial contributions: The statistics of patents in health biotechnology can assist policymakers in practices aimed at promoting research, development, and innovation activities with applications in health.

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Maspons, Ramon, and Pere Escorsa. "Flows of knowledge from and to cities: an analysis for Barcelona using patent statistics." Research Evaluation 13, no. 2 (August 1, 2004): 103–17. http://dx.doi.org/10.3152/147154404781776473.

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Otmakhova, Yu S., D. A. Devyatkin, and I. A. Tikhomirov. "Methods for Evaluation of the Region’s Needs for Human Resources based on Statistics and Patent Landscapes." Economy of Region 18, no. 2 (2022): 569–80. http://dx.doi.org/10.17059/ekon.reg.2022-2-19.

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Implementation of a new technological platform in Russia requires providing promising areas of professional qualification with human resources. Post-pandemic structural economic transformation has accelerated changes in the labour market and highlighted the need to develop new approaches and forecasting methods with the priorities of regional technological development. The study presents a methodology to reveal the regional demand for staffing based on the analysis of the factors affecting staff demands using structured and unstructured datasets. The study is focused on forecasting the region’s needs for human resources based on data mining and patent landscapes. That forecasting should consider the economic focus of a region as well as its location, investment and R&D development programme, labour market specificity. The advantage of the proposed methodology is obtaining reasonable estimates of the region’s needs for human resources with data mining and patent landscaping methods in conditions of limited official statistical data. Our database includes more than 25 million records: full-text collections of Russian and foreign patents, research papers, statistical indicators, etc. As a result, we identified promising training areas attractive for qualified personnel in the Vologda region corresponding with the priorities of regional technological development. The future development of this research is the improvement of the methodology for quantitative assessment of the regional need for professionals in particular industries. The obtained results can be useful to government bodies and research centres for the development of regional strategies.

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Neuhäusler, Peter, Rainer Frietsch, Carolin Mund, and Verena Eckl. "Identifying the Technology Profiles of R&D Performing Firms — A Matching of R&D and Patent Data." International Journal of Innovation and Technology Management 14, no. 01 (January 19, 2017): 1740003. http://dx.doi.org/10.1142/s021987701740003x.

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Since the statistical classification of economic activities is not able to adequately display companies’ R&D expenditures, the aim of this paper is to create a concordance list between industry sectors and technologies, enabling us to report the business R&D expenditures not only by industries but also by technology fields. To construct the concordance, we match data on R&D expenditures with patent data at the micro-level, i.e. at the level of companies and patent applicants, respectively. In a further step the business R&D expenditures are aggregated at the level of technology fields. This concordance table also allows us to provide patent statistics at the level of industries. The patent data for the matching were extracted from the “EPO Worldwide Patent Statistical Database” (PATSTAT). The data on German business R&D expenditures are provided by the SV Wissenschaftsstatistik. The two data sources are matched by applying a string matching algorithm based on the distance between two text strings. The matching covers 44% of all German patent applicants and 83% of all patent filings at the EPO and the German Patent and Trademark Office in 2009.

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Šugar, Violeta, Alen Belullo, and Emin Džanić. "Are Individual Inventors Invisible?" Ekonomski pregled 72, no. 6 (2021): 840–68. http://dx.doi.org/10.32910/ep.72.6.3.

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The research about the population of individual inventors/innovators in Croatia was carried out with the aim of finding answers to the following questions: 1. How many inventions/patents in Croatia are (not) commercialized; 2. What are the reasons of (un)successful commercialization of Croatian individual inventors' inventions/patents; 3. Is there any correlation between various forms of support for inventors / patent owners and successful commercialization; 4. Could education/training contribute to the successful commercialization of inventions/patents? The research was designed and carried out on individual inventors/innovators in Croatia via combination of online questionnaire and telephone interviews. The acquired data were analysed by descriptive statistics and nonparametric inferential statistics. Based on the results of the research, the literature and practical experience, a typology of individual inventors / innovators has been created. The research limitations relate to the lack of the institutional data and literature regarding the individual inventors. In addition to practical contribution of the findings regarding the public policies, there is also a theoretical contribution to existing literature.

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Journal articles on the topic 'Patent Statistics'

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