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Scientific papers and patents are reliable sources of knowledge carriers for measuring science and technology advances, predicting technological trends, and formulating technology strategies. Although the idea of entirely using the two knowledge carriers is rapidly emerging in academic discussion, a theoretical framing of the comparisons is still not present in literature. This study conducts bibliometrics on 2986 patent families and 4755 scientific papers related to silicon carbide metal–oxide-semiconductor field-effect transistor (SiC-MOSFET) to identify its technological trends and compare the similarities and differences in knowledge generation and diffusion in science and technology. Our methodological framework consists of a combination of geographic distribution (identifying the research developments and distribution), cooperation networks (analyzing organisation collaboration and individual research cooperation), noun phrase co-occurrence clusters (discovering hot research topics), and the global main path analyses of citation networks (tracking the trajectory of knowledge flows). Ultimately, our results contribute to recent bibliometric paradigms beyond discovering the role of scientific papers and patents in promoting science and technology integration. [ABSTRACT FROM AUTHOR]

This paper presents new evidence on knowledge flows in the Beijing-Tianjin-Hebei region of China, involving 43 cities (districts) in the Beijing-Tianjin-Hebei region, based on the invention patent transfer data from the State Intellectual Property Office of China. First, the characteristics of technology flows in the Beijing-Tianjin-Hebei region are analyzed in terms of changes in the number of flows, types of flowing subjects and spatial distribution characteristics. Then, a multi-level patent technology flow network in the Beijing-Tianjin-Hebei region was constructed, and the structural characteristics and node characteristics of each level network were explored separately. The key findings of the study are as follows. (1) The number of patented technology flows has been growing over time, showing obvious phase characteristics during the study period. As a whole, the intra-city (district) technology flow in the Beijing-Tianjin-Hebei region is higher than the inter-city (district). (2) The multi-level patent technology flow network in the Beijing-Tianjin-Hebei region shows dynamic characteristics, with more and more mobile subjects participating in the patent technology flow network, some network nodes becoming closer to each other, and the trend of small group technology flow increasing significantly. (3) Enterprises are the core hub of the patent technology flow network in Beijing-Tianjin-Hebei region. Individual invention patent technology transfer also occupies a high proportion and the participation of universities and colleges in the patent technology flow network in the Beijing-Tianjin-Hebei region is gradually increasing. (4) Over time, the flow of patent technology in the 43 cities (districts) in the Beijing-Tianjin-Hebei region has gradually become active and no longer relies excessively on a particular city (district) for patent technology transfer. [ABSTRACT FROM AUTHOR]

In order to reveal the current status and future trends of lubricant additives, this study analyzes the structured and unstructured data of 77701 lubricant additive patents recorded by Patsnap. The results show that China is the country with the largest number of patents in this field, and the United States is the main exporting country of international technology flow; the current research and development of lubricant additives is dominated by multifunctional composite additives; environmentally friendly additive compositions are the current research hotspot; and more environmentally friendly and economically degradable additives have more development potential in the future. Overall, this study provides a comprehensive understanding of the research and application of lubricant additives and contributes to the future development of the lubricant industry. [ABSTRACT FROM AUTHOR]

Sustainable intensification (SI) responds to the concurrent challenges of increasing food production while reducing the environmental impacts of agriculture. As an early disclosure of innovation, patents are a useful indicator of technology market potential. However, we lack understanding of the extent to which current agricultural technology patents relate to the goals of SI and which kinds of technologies can potentially address SI. Here, we analyzed the diffusion and focus of more than one million patents issued during the period 1970–2022. We explored the degree to which the patents relate to SI through the co-occurrence of efficiency and environmental friendliness targets. Our results reveal that while the rate of patent issuance has dramatically increased over the past five decades, the rate at which patents diffused to different countries had decreased over time. The USA was the biggest net exporter of patents and had produced by far the most high-impact patents (in the top 1% most-cited patents). Since 1970, only 4% of agricultural patents and 6% of high-impact patents were related to SI targets (i.e., promoting both agricultural efficiency and environmental friendliness), but the attention to SI has increased over time. The most highly cited SI-related patents had become more diverse over time, shifting from digital, machine, and energy technologies in 1980s to the current era of agroecology, information, and computer networking. Our results provide an early indication of promising technologies that may play a greater role for SI in the future, subject to the challenges of market transfer and farm adoption and complemented by non-technological innovations in farm management and institutional support. [ABSTRACT FROM AUTHOR]

Technological upgradation is the driving force of social and economic development. Although technological upgradation is extensively needed, it is characterised as high intelligence, high investment, and high risk. In the face of complex market competition patterns, industrial enterprises urgently need to seek external cooperation and achieve sustainable competitive advantage. However, the current digital systems of patents fail to fulfil efficiency improvement from technology transfer to research and development (R&D) cooperation for industrial enterprise. Nor does it provide adequate support for industrial enterprises' technological upgradation. Therefore, this research proposes a systematic framework that combines nautral language processing (NLP) and machine learning (ML) technologies, including the patent recommendation model, patent transferability evaluation model, and research team detection model. Such a digital system of patents improves the efficiency of technology transactions and R&D cooperation with research institutions for industrial enterprises to identify related authorised patents and locate technology research teams. It is also expected that the developed system will enable research institutions to recommend valuable patents and transfer innovative technologies effectively. [ABSTRACT FROM AUTHOR]

The identification of the technical cooperation mode in the field of hydrogen energy is of great importance in guiding technological innovation. Based on the social network analysis (SNA) and spatial network method, this paper constructs the technical cooperation graph of China's industry-university-research (IUR) tripartites in the field of hydrogen technology. Based on the performed graphs, it shows the game and evolution of hydrogen technology innovation in three stages, respectively 2000–2010, 2011–2015 and 2016–2019. Meanwhile, this paper calculates the changes of network indicators and found that: (1) the network density showed a downward trend, from the initial 0.062 to 0.003. (2) The degree centrality of the network decreased from 14.7% to 5.7%. (3) The average path length and clustering coefficient indicate that the internal connections within the network were relatively close from 2000 to 2010, and had small-world characteristics. From 2016 to 2019, although the clustering coefficient increased, the average path length also increased significantly, indicating that the internal connections of the network did not become closer. From the network characteristics, the collaborative innovation network of China's hydrogen energy industry continues to expand in scale and scope, and the cooperation relationship is stable. However, it shows the characteristics of low network density and loose cooperation relationship, gradually developing into a scale-free network. Developed provinces and cities in North and East China occupy core positions in the industry-university-research network, while other regions are gradually expanding their cooperation efficiency; however, the overall cooperation frequency is relatively low in Northeast China, and most provinces and cities in South and Northwest China are in edge positions with poor collaboration capabilities. • Network analysis sheds light on China's hydrogen energy tech cooperation via patent. • Collaborative innovation in hydrogen technology evolves through three stages. • Tight internal connections with small-world properties seen in network (2000–2010). • Network's internal connections didn't become closer (2016–2019). • Network transforms from a stable and expanding structure into a scale-free network. [ABSTRACT FROM AUTHOR]

The article investigates the impact of various funding sources on Technology Transfer Entities (TTEs), including government support, private sector investments, grants, and European funds. It emphasizes the crucial role these financial mechanisms play in enabling TTEs to bridge the gap between academic research and commercial application. By analyzing the influence of government funding, the significance of licensing and patent revenues, and the benefits of private and European investments, the article demonstrates how these resources assist TTEs in achieving financial stability, fostering innovation commercialization, and navigating the market. It also highlights the importance of aligning TTEs' goals with broader societal and economic objectives. Through case studies, the research illustrates the essential need for a diverse funding strategy and effective management for TTEs to optimize their contribution to the technological innovation ecosystem, economic growth, and societal well-being. [ABSTRACT FROM AUTHOR]

Green technology transfer can improve the economic benefits accrued by firms and promote regional green development. Patent value can comprehensively reflect the development prospects of green patents and is an important indicator for predicting green technology transfer. In order to explore the impact of patent value on green technology transfer, this study used a sample of 16,169 green technology patents from Chinese manufacturing industry, which were analyzed using the binary logistic regression model. The results suggest that the technical and economic value of green technology patent positively impact green technology transfer, while the effect of legal value is opposite. Industry competition strengthens the negative impact of the legal value of green technology patents on green technology transfer and weakens the positive impact of green technology patent's economic value. This study explores the factors impacting firms' green technology transfer from a value perspective and proposes suggestions for the transformation of green technology in firms. • The technical and economic value of green technology patents have a positive impact on the transfer of the technology. • The legal value has a negative impact on transfer. • Industry competition strengthens the negative impact of the legal value of green technology patents on the technology's transfer. [ABSTRACT FROM AUTHOR]