U. S. energy production activity and innovation

Life-cycle studies provide a comprehensive insight into comparative innovation behavior and innovation constants. In this article a comparison of the life-cycle plots for the production and patent activity is made for US energy production categories. As has been shown previously for material production [TFSC, vol.78, 2011], the two activities may be correlated to such an extent that they may be superimposed to a large degree, for all growth stage except stage IV, simply by an origin-shift. Over ten energy production methods have been studied in this manner for the first time. An origin-shift ratio, OR, (positive or negative lag) describes the amount required to shift the two activity curves in order to superimpose them. The relative drive-force ratio, DR (defined as the ratio of the production and patent growth constants) is noted to scale with the origin-shift. The value of this drive-force ratio determines the amount of production that is influenced by patents. The slope of curve of the drive-force ratio plotted against the origin-shift ratio is noted to be constant across all energy categories in the high growth Stage III. The authors find for the first time that even early stage production displays an origin-shift. Energy materials (i.e., those materials that dominate a particular type of energy production) are also studied in the material category alone, where the total usage of the material is considered. The concept of Green materials is discussed in this context. The life-cycle approach collapses the energy categories/sources and related materials into two groups. The authors discuss these groups in the Schumpeterian framework of constructive and destructive innovation. Group 1, containing coal, natural gas, wind, renewable, fossil fuel, solar and total energies, is composed of energy categories/sources whose patent activity could be inferred as driving their production. On the other hand, energy production from biomass, biofuel, geothermal and nuclear energies is identified in Group 2, in which the patent activity is driven by production (high innovation group). An (OR) of slightly less than one and a (DR) less than one, lead to a placement where with time, a constructive to destructive innovation transition is encountered A very low (OR) and a low (DR) on the other hand leads to a transition from Stage III growth to a no-growth (Stage IV) with time. Innovation enhanced resources and production are also discussed.     

Nanopatenting patterns in relation to product life cycle

This paper compares the positions of national nanotechnology development efforts based on analyses of patenting from 1994 to 2005. Searching Derwent world patent index files, 19,351 unique patents are collected based on a composite search algorithm. These abstract records are categorized multiple ways — by top patent assignees, by International Patent Classifications, and through content analyses of the “Use” subfield. We classify the R&D activities by using a 3-stage, life cycle, value chain of nano-raw materials, nanointermediates, and nano-products. Profiles of Japanese, American (US), and European (German) emphases show notable differences in concentration and value chain niche. Such characterizations offer significant research management and policy implications.     

网络结构、企业特征与产学研合作创新能力演化趋势

基于1998—2019年A股上市公司产学研联合专利申请数据，构建动态专利合作网络，采用复杂网络分析方法揭示上市公司产学研合作整体结构特征，并从企业要素密集度、生命周期和区域3个视角探析产学研合作创新中的合作紧密性、知识吸收能力、知识控制能力与集群发展能力。结果发现：无论企业特征如何，随着时间推移，产学研合作更加广泛，紧密性逐渐降低，小世界现象愈发明显，无标度结构趋于稳定，创新集群越来越独立；3种视角下企业知识吸收能力、知识控制能力差距逐渐缩小，集群发展能力差距扩大；与要素密集度相比，生命周期、区域特征对产学研合作网络结构的影响更显著。结论可为激发企业创新活力、促进区域创新协调发展的相关政策制定提供实证支持。     

Valuation of patents in emerging economies: a renewal model-based study of Indian patents

ABSTRACT

This study uses patent renewal information to estimate the private value of patents. Patent value refers to the economic reward that the inventor extracts from commercialising the patented invention. Our empirical analysis comprises 555 patents with applications filed between 1999 and 2002. The term of these patents either ended in 2018 or lapsed due to non-payment of the renewal fee. We model the renewal decision of patentee as ordered probit where patent renewal fee increases with the age of the patent. Variables, such as patent family size, technological scope, number of inventors and grant lag, are used as explanatory variables in the corresponding regression. Hence, this paper combines the patentee’s renewal decision along with patents’ characteristics and renewal cost schedule to estimate the initial rent distribution. We find that a large number of patents expire at an early stage leaving few patents with high value corroborating the results of studies using European, American and Chinese data. As expected, patents from certain technology class enjoy high valuation.     

Generic innovation dynamics across the industrial technology life cycle: Platform equation modeling of invention and innovation activity

We describe here a generic approach to innovation dynamics based on an integrated framework for inventions and innovations applied via a platform equation and model across the industrial technology life cycle. We test the model for metals and other materials, and demonstrate that this model correctly describes the production activity for several materials and energy conversion technologies.Innovation activity patterns are shown for several oxides, metals, oil and wind energy and its derivatives. The metals Cu, Al, W, Mo and Pb are particularly studied for the amount produced over time. The total activity for the metals encompasses both the invention and innovation stage for a particular metal. Four major stages and two sub stages are identified for the discovery (invention) and subsequent growth regimes (i.e. the innovation stage). The pattern equation appears to clearly capture all these stages for the metals studied — work is ongoing for similar analyses of energy and other materials. Although the metals studied existed over differing periods (e.g. copper greater than 200 years whereas aluminum, just over 100 years), one single pattern equation appears to capture all the major trends. The use of the model is also shown for productivity analysis, especially for the condition of radical innovation (very rapid growth). For sustained radical innovation, namely, when the output of the produced material per unit time, keeps on increasing with time, there are various factors which may influence growth. For the conditions where thermal activation and plant size are the dominant variables, their impact on the growth may be examined in the context of the pattern equation. A preliminary analysis of oxide production activity also appears to follow this same innovation model.The results suggest a fertile field of future research extending the initial platform equation model to include R&D, Patents, and Performance, as well as Sales, as innovation activity. Further, the model shows promise in combination with the ARI methodology model for analysis and assessment of existing and future industrial technology life cycles involving material, process, product, software and service innovations.     

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

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

技术创新网络多维邻近性演化研究

研究技术创新网络多维邻近性是否伴随创新网络生命周期不同发展阶段而呈现出不同演化特征，对创新网络内部伙伴选择、关系治理和创新绩效发展具有重要意义。基于IBM专利合作网络数据，运用Feature Selection方法，从地理邻近、社会邻近、技术邻近、组织邻近和制度邻近5个维度分析技术创新网络多维邻近性演化特征。结果表明：①生命周期视角下，在创新网络创生阶段，企业选择合作伙伴时主要考虑技术邻近性和组织邻近性，成长阶段主要考虑地理邻近性，成熟和衰退阶段主要考虑社会邻近性；②演化视角下，地理邻近性与技术邻近性曲线呈倒U型关系，地理邻近性在成长期达到最高点，技术邻近性在成熟期达到最高点；制度邻近性与组织邻近性呈U型关系，制度邻近性在成长期达到最低点，组织邻近性在成熟期达到最低点;社会邻近性则随着创新网络生命周期发展一直呈上升态势。     

Patent life cycle: New evidence

Patents and their renewals are critical because they protect inventions and reinforce information reported to investors about the utility and the quality of inventions. Thus, they signal the appropriate use of financial resources being invested, notably in research and development departments, and future revenues for their owner. Based on a sample of about 22,700 European patents, our research contributes to existing literature on patent renewal by two relevant outcomes. The first contribution proposes a possible definition of a European patent life cycle: abandonment of procedure, natural abandonment, and late withdrawal. The second contribution shows two main factors that influence the renewal of a European patent by examining delivery time and the cumulative number of citations.Our results show that the procedure is the key issue of structuring the patent's life. In addition, patents' viability is likely to happen given that a part in a series of patents is increasing, which means that valuable patents are often cited by later ones. The relationship stems from the rational behavior of market operators who will try to minimize essential ownership.     

Need for speed? Exploring the relative importance of patents and utility models among German firms

Despite the wide use of two-tiered patent systems (patents and utility models (UMs)), there is little empirical evidence about how often UMs are actually used, what kind of firms use them to protect their intellectual property, and how firms rank them relative to patents. We offer such an analysis using data from Germany. We find that larger firms are more likely to use both protection methods. Moreover, a short life cycle of products and services is associated with an increased likelihood to use UMs. The features and functioning of the German UM system are of broader interest because it has been a benchmark for several second tier patent protection systems around the world.     

A welfare analysis of global patent protection in a model with endogenous innovation and foreign direct investment

This paper constructs a North–South quality-ladder model in which foreign direct investment (FDI) is determined by the endogenous location choice of firms, and examines analytically how strengthening patent protection in the South affects welfare in the South. Strengthening patent protection increases the South's welfare by enhancing innovation and FDI, but it also allows the firms with patents to charge higher prices for their goods, which decreases welfare. However, the model shows that the former positive welfare effect outweighs the latter negative effect. Moreover, introducing the strictest form of patent protection in the South, that is, harmonizing patent protection in the South with that in the North, may maximize welfare in the South as well as in the North. Further, a similar result can also be obtained in a nonscale effect model.