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      A database linking Chinese patents to China’s census firms

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          Abstract

          To meet researchers’ increasing interest in the fast growing innovation activities taking place in China, we match patents filed with China’s State Intellectual Property Office to firms covered in China’s Census. China has experienced a strong growth in patent filings over the past two decades, and has since 2011 become the world’s top patent filing country. China’s Census database covers about one million unique manufacturing firms from 1998–2009, representing the broad Chinese economy. We design data parsing and pre-processing routines to clean and stem firm and assignee names, create a matching algorithm that fits with our data and maintains a balance between matching accuracy and workload of manual check, and implement a systematic manual check process to filter out false positives generated from computerized matching. Our project generates 1,113,588 matches for the Census firms, among which 849,647 patents are uniquely matched. By creating the patent-firm linked dataset, we hope to reduce duplicative effort and encourage more research to better understand China’s fast changing innovation landscape.

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          Most cited references30

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          Organizational slack and firm performance during economic transitions: two studies from an emerging economy

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            Local Governments as Industrial Firms: An Organizational Analysis of China's Transitional Economy

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              Growing Like China

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                Author and article information

                Journal
                Sci Data
                Sci Data
                Scientific Data
                Nature Publishing Group
                2052-4463
                27 March 2018
                2018
                : 5
                : 180042
                Affiliations
                [1 ]Tilburg University, 5037 AB Tilburg, Tilburg, 5000 LE , Netherlands
                [2 ]University of Colorado, Leeds School of Business, 995 Regent Dr , Boulder, CO 80309, USA
                [3 ]Tulane University, Freeman School of Business, 7 McAlister Dr., Golding/Woldenberg Hall , New Orleans, Louisiana 70118, USA
                [4 ]University of International Business & Economics, 10 Huixin Dongjie, Chaoyang District, Beijing 100029, China
                Author notes
                []

                Z.-L.H. and T.W.T. initiated the project design, wrote and revised the manuscript, and managed the overall process. Y.Z. developed the codes, conducted the matching, archived the datasets, and revised the manuscript. W.H. managed the implementation of manual check.

                Author information
                http://orcid.org/0000-0003-0220-1757
                Article
                sdata201842
                10.1038/sdata.2018.42
                5956277
                29583142
                cace0f76-aaf4-4927-97d3-a76b45404905
                Copyright © 2018, The Author(s)

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article.

                History
                : 10 January 2017
                : 30 January 2018
                Categories
                Data Descriptor

                intellectual-property rights,databases,technology
                intellectual-property rights, databases, technology

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