IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v118y2020icp463-473.html
   My bibliography  Save this article

A new dynamic classification of enterprises for implementing precise industrial policies

Author

Listed:
  • Xu, Bing
  • Chen, Xiaohui
  • Wang, Yanyan

Abstract

The industrial policy design of nonpublic enterprises is an important research topic in public ownership in China. For the precise implementation of industrial policies, enterprises in the same industry must be divided into classifications. According to the micro characteristics of enterprises, a new dynamic classification framework of enterprises, including technological innovation enterprises, labor employment enterprises, and growth and development enterprises, is established by using principal component analysis and the KNN clustering method. Taking Taizhou, the birthplace of China's nonpublic enterprises, as an example, the research finds that growth and development enterprises account for the smallest proportion, and technological innovation enterprises account for the largest proportion. This paper implies that the government should adopt precise industrial policies: rewards and subsidies for technological innovation enterprises, tax exemption and tax reduction for labor employment enterprises, and improvements in the financing environment for growth development enterprises.

Suggested Citation

  • Xu, Bing & Chen, Xiaohui & Wang, Yanyan, 2020. "A new dynamic classification of enterprises for implementing precise industrial policies," Journal of Business Research, Elsevier, vol. 118(C), pages 463-473.
    • Handle: RePEc:eee:jbrese:v:118:y:2020:i:c:p:463-473
    DOI: 10.1016/j.jbusres.2020.07.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296320304513
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jbusres.2020.07.009?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. João J. M. Ferreira & Cristina I. Fernandes & Sascha Kraus, 2019. "Entrepreneurship research: mapping intellectual structures and research trends," Review of Managerial Science, Springer, vol. 13(1), pages 181-205, February.
    2. Robert J. Breitenecker & Rainer Harms & Antje Weyh & Daniela Maresch & Sascha Kraus, 2017. "When the difference makes a difference – the regional embeddedness of entrepreneurship," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 29(1-2), pages 71-93, January.
    3. Geldes, Cristian & Felzensztein, Christian & Turkina, Ekaterina & Durand, Aurélia, 2015. "How does proximity affect interfirm marketing cooperation? A study of an agribusiness cluster," Journal of Business Research, Elsevier, vol. 68(2), pages 263-272.
    4. Stephanie Scott & Mathew Hughes & Sascha Kraus, 2019. "Developing relationships in innovation clusters," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 31(1-2), pages 22-45, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wu Qiyin, 2022. "An Empirical Study of Enterprise Development Strategy on Business Performance in China," International Journal of Science and Business, IJSAB International, vol. 8(1), pages 42-57.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ricarda B. Bouncken & Sascha Kraus, 2022. "Entrepreneurial ecosystems in an interconnected world: emergence, governance and digitalization," Review of Managerial Science, Springer, vol. 16(1), pages 1-14, January.
    2. Stephanie Scott & Mathew Hughes & Domingo Ribeiro-Soriano, 2022. "Towards a network-based view of effective entrepreneurial ecosystems," Review of Managerial Science, Springer, vol. 16(1), pages 157-187, January.
    3. Vincenzo Corvello & Annika Steiber & Sverker Alänge, 2023. "Antecedents, processes and outcomes of collaboration between corporates and start-ups," Review of Managerial Science, Springer, vol. 17(1), pages 129-154, January.
    4. Bernhard Fabian Bichler & Andreas Kallmuenzer & Mike Peters & Tanja Petry & Thomas Clauss, 2022. "Regional entrepreneurial ecosystems: how family firm embeddedness triggers ecosystem development," Review of Managerial Science, Springer, vol. 16(1), pages 15-44, January.
    5. Jose-Maria Garcia-Alvarez-Coque & Norat Roig-Tierno & Mercedes Sanchez-Garcia & Francisco Mas-Verdu, 2021. "Knowledge Drivers, Business Collaboration and Competitiveness in Rural and Urban Regions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(1), pages 9-27, August.
    6. Piñeiro-Chousa, Juan & López-Cabarcos, M. Ángeles & Romero-Castro, Noelia María & Pérez-Pico, Ada María, 2020. "Innovation, entrepreneurship and knowledge in the business scientific field: Mapping the research front," Journal of Business Research, Elsevier, vol. 115(C), pages 475-485.
    7. Ouellet, F. & Mundler, P. & Dupras, J. & Ruiz, J., 2020. "“Community developed and farmer delivered.” An analysis of the spatial and relational proximities of the Alternative Land Use Services program in Ontario," Land Use Policy, Elsevier, vol. 95(C).
    8. Conti, Claudio Ramos & Parente, Ronaldo & de Vasconcelos, Flávio C., 2016. "When distance does not matter: Implications for Latin American multinationals," Journal of Business Research, Elsevier, vol. 69(6), pages 1980-1992.
    9. Ferretti, Marco & Guerini, Massimiliano & Panetti, Eva & Parmentola, Adele, 2022. "The partner next door? The effect of micro-geographical proximity on intra-cluster inter-organizational relationships," Technovation, Elsevier, vol. 111(C).
    10. Scott, Stephanie & Hughes, Paul & Hodgkinson, Ian & Kraus, Sascha, 2019. "Technology adoption factors in the digitization of popular culture: Analyzing the online gambling market," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    11. Mikel Alayo & Txomin Iturralde & Amaia Maseda & Gloria Aparicio, 2021. "Mapping family firm internationalization research: bibliometric and literature review," Review of Managerial Science, Springer, vol. 15(6), pages 1517-1560, August.
    12. Aparicio, Sebastian & Audretsch, David & Noguera, Maria & Urbano, David, 2022. "Can female entrepreneurs boost social mobility in developing countries? An institutional analysis," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    13. Peng Gao & Dan He & Zhijing Sun & Yuemin Ning, 2020. "Characterizing functionally integrated regions in the Central Yangtze River Megaregion from a city‐network perspective," Growth and Change, Wiley Blackwell, vol. 51(3), pages 1357-1379, September.
    14. Pei-Hsuan Tsai & Chin-Tsai Lin, 2018. "How Should National Museums Create Competitive Advantage Following Changes in the Global Economic Environment?," Sustainability, MDPI, vol. 10(10), pages 1-20, October.
    15. Marcelo Royo-Vela & Mohammad-Reza Mazandarani, 2022. "Are Non-Special Dimensions of Proximity in Local Clusters Related? An Analysis of 99 European Clusters," Sustainability, MDPI, vol. 14(20), pages 1-15, October.
    16. Patrycja Klimas & Wojciech Czakon, 2022. "Species in the wild: a typology of innovation ecosystems," Review of Managerial Science, Springer, vol. 16(1), pages 249-282, January.
    17. Crick, James M. & Crick, Dave, 2021. "The dark-side of coopetition: Influences on the paradoxical forces of cooperativeness and competitiveness across product-market strategies," Journal of Business Research, Elsevier, vol. 122(C), pages 226-240.
    18. Magali Chaudey & Muriel Fadairo & Frédéric Perdreau, 2020. "Do retailers benefit from network affiliation in all locations," Economics Bulletin, AccessEcon, vol. 40(2), pages 1623-1633.
    19. Magnus Henrekson & Dan Johansson & Johan Karlsson, 2024. "To Be or Not to Be: The Entrepreneur in Neo-Schumpeterian Growth Theory," Entrepreneurship Theory and Practice, , vol. 48(1), pages 104-140, January.
    20. Pham, Dung & Jones, Paul & Dobson, Stephen & Liñán, Francisco & Viala, Céline, 2021. "Entrepreneurial implementation intention as a tool to moderate the stability of entrepreneurial goal intention: A sensemaking approach," Journal of Business Research, Elsevier, vol. 123(C), pages 97-105.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jbrese:v:118:y:2020:i:c:p:463-473. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.