Technology transfer via foreign patents in Germany, 1843–77

Donges, Alexander; Selgert, Felix

doi:10.1111/ehr.12703

Cited by 31 publications

(10 citation statements)

References 40 publications

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“…As in the Swiss case, many domestic firms freely entered the market and started a fierce price competition that only the most cost-effective companies survived. In contrast to this view, Donges and Selgert (2019a) consider the possibility that Baden, the western neighboring state of Wuerttemberg, fostered growth by treating domestic and foreign inventors equally in the mid-nineteenth century. This liberal patent practice might have facilitated the access to innovative foreign knowledge that domestic firms could get by disassembling imported machinery or scrutinizing patent descriptions.…”

Section: Discussionmentioning

confidence: 96%

“…First, we allocated each patent based on its title to 1 of the 89 technological classes introduced by the Imperial Patent Office in 1877. Second, we used the mapping developed by Donges and Selgert (2019a) (see online-appendix ehr12703-sup-0001-SuppMat.docx) to match these 89 technological classes with the industries listed in the Zollverein survey. 22 The data are published in Lehmann-Hasemeyer and Streb (2020).…”

Section: Datamentioning

confidence: 99%

See 1 more Smart Citation

Discrimination against Foreigners: The Wuerttemberg Patent Law in Administrative Practice

Lehmann‐Hasemeyer¹,

Streb²

2020

J. Econ. Hist.

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Section: Discussionmentioning

confidence: 96%

Section: Datamentioning

confidence: 99%

Discrimination against Foreigners: The Wuerttemberg Patent Law in Administrative Practice

Lehmann‐Hasemeyer¹,

Streb²

2020

J. Econ. Hist.

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“…Research contents towards technology transfer mainly discourse the main actors and their interrelationship (Rahm, 1994;Rao et al, 2011;Sun and Liu, 2017;Zeng and Li, 2019), strategies and channels (Bozeman, 2000;Peng and Li, 2013), efficiency and spillover (Wang et al, 2010;Feng and Ding, 2018), spatial evolution and its determinants (Battistella et al, 2016;Qian et al, 2016), etc. However, the research scales were usually onefold locked in nations (Wen, 2014;Donges and Selgert, 2019;Guan et al, 2022), urban agglomerations or cities (Duan et al, 2018;Zhang and Gu, 2018), which showed a large constraint, as they overlooked the interaction of innovation networks in different scales (Chaminade and Plechero, 2015).…”

Section: Introductionmentioning

confidence: 99%

Transnational technology transfer network in China: Spatial dynamics and its determinants

Liu

Su²

2022

J. Geogr. Sci.

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Patent transfer has been regarded as an important channel for the nations and regions to acquire external technology, and also a direct research object to depict the relationship between supply and demand of technology flow. Therefore, based on traceable patent transfer data, this article has established a dual-pipeline theoretical framework of transnational-domestic technology transfer from the interaction of the global and local (glocal) perspective, and combines social networks, GIS spatial analysis as well as spatial econometric model to discover the spatial evolution of China's transnational technology channels and its determinant factors. It is found that: (1) The spatial heterogeneity of the overall network is significant while gradually weakened over time. (2) The eastward shift of the core cities involved in transnational technology channels is accelerating, from the hubs in North America (New York Bay Area, Silicon Valley, Caribbean offshore financial center, etc.) and West Europe (London offshore financial center etc.) to East Asia (Tokyo and Seoul) and Southeast Asia (Singapore), which illustrates China has decreased reliance on the technology from the USA and West Europe. (3) The four major innovation clusters: Beijing-Tianjin-Hebei region (Beijing as the hub), Yangtze River Delta (Shanghai as the hub), The Greater Bay Area (Shenzhen and Hong Kong as the hubs) and north Taiwan (Taipei and Hsinchu as the hubs), are regarded as global technology innovation hubs and China's distribution centers in transnational technology flow. Among those, Chinese Hong Kong's betweenness role of technology is strengthened due to linkage of transnational corporations and their branches, and low tax coverage of offshore finance, thus becoming the top city for technology transfer. Meanwhile, Chinese Taiwan's core position is diminishing. (4) The breadth, intensity, and closeness of domestic technology transfer are conducive to the expansion of transnational technology import channels. Additionally, local economic level has positive effect on transnational technology transfer channels while technology strength and external economic linkage have multifaceted influences.

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“…Because patents are the most direct form of evaluation of innovation output, they serve as an indicator of trends in technological development [19][20][21]. Patent analysis methods are suitable for exploring technology transfer topics [22][23][24] and evaluating the performance of industry-academia technology collaborations [25,26]. Thus, patent information is the most direct evaluation indicator for technological development.…”

Section: Introductionmentioning

confidence: 99%

Using Patent Technology Networks to Observe Neurocomputing Technology Hotspots and Development Trends

Chang¹,

Fan²

2020

Sustainability

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In recent years, development in the fields of big data and artificial intelligence has given rise to interest among scholars in neurocomputing-related applications. Neurocomputing has relatively widespread applications because it is a critical technology in numerous fields. However, most studies on neurocomputing have focused on improving related algorithms or application fields; they have failed to highlight the main technology hotspots and development trends from a comprehensive viewpoint. To fill the research gap, this study adopts a new viewpoint and employs technological fields as its main subject. Neurocomputing patents are subjected to network analysis to construct a neurocomputing technology hotspot. The results reveal that the neurocomputing technology hotspots are algorithms, methods or devices for reading or recognizing printed or written characters or patterns, and digital storage characterized by the use of particular electric or magnetic storage elements. Furthermore, the technology hotspots are discovered to not be clustered around particular fields but, rather, are multidisciplinary. The applications that combine neurocomputing with digital storage are currently undergoing the most extensive development. Finally, patentee analysis reveal that neurocomputing technology is mainly being developed by information technology corporations, thereby indicating the market development potential of neurocomputing technology. This study constructs a technology hotspot network model to elucidate the trend in development of neurocomputing technology, and the findings may serve as a reference for industries planning to promote emerging technologies.

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Technology transfer via foreign patents in Germany, 1843–77

Cited by 31 publications

References 40 publications

Discrimination against Foreigners: The Wuerttemberg Patent Law in Administrative Practice

Discrimination against Foreigners: The Wuerttemberg Patent Law in Administrative Practice

Transnational technology transfer network in China: Spatial dynamics and its determinants

Using Patent Technology Networks to Observe Neurocomputing Technology Hotspots and Development Trends

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