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Insights into Markets for Technology in China: Evidence from Patent Trades

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Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2020)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 88))

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Abstract

Using a unique dataset of patent assignment from the National Intellectual Property Administration, we attempt to provide a full picture of the markets for technology, including general trends, characteristics of participating actors, and features of traded patents. Our research has uncovered several findings. First, patent trade has experienced a notable increase in markets for technology during our observation, and the total ratio of trade patents is about 11%. Second, the proportion of traded patents is different among various types of sellers, but enterprises sell and buy the most patents, accounting for more than 77% and 93%, respectively. Third, the geographic distance relationships between sellers and buyers are diffused gradually with the increase of patent inputs and outputs per province, and a new balance is reached concerning the geographic distribution of traded patents among different provinces. Fourth, the average age of sold patents is 6.8 years, but more than 50% patents are sold out within 6 years.

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Authors and Affiliations

  1. Business School, Sichuan University, Chengdu, 610065, Sichuan, China

    Hongping Du & Maoyan She

  2. School of Economics, Xihua University, Chengdu, 610065, Sichuan, China

    Ruifeng Hu

Authors
  1. Hongping Du
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  2. Maoyan She
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  3. Ruifeng Hu
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Editor information

Editors and Affiliations

  1. College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, UK

    Hongying Meng

  2. School of Electronical Information and Artificial Engineering, Shaanxi University of Science and Technology, Xi’an, China

    Tao Lei

  3. College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, UK

    Maozhen Li

  4. College of Electrical and Information, Hunan University, Changsha, China

    Kenli Li

  5. Division of Intelligent Future Technologies, Mälardalen University, Västerås, Västmanlands Län, Sweden

    Ning Xiong

  6. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Lipo Wang

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Du, H., She, M., Hu, R. (2021). Insights into Markets for Technology in China: Evidence from Patent Trades. In: Meng, H., Lei, T., Li, M., Li, K., Xiong, N., Wang, L. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2020. Lecture Notes on Data Engineering and Communications Technologies, vol 88. Springer, Cham. https://doi.org/10.1007/978-3-030-70665-4_10

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