IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i19p12750-d935197.html
   My bibliography  Save this article

Characteristics of High-Technology Industry Migration within Metropolitan Areas—A Case Study of Beijing Metropolitan Area

Author

Listed:
  • Peiyuan Zhang

    (Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China)

  • Jiaming Li

    (Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Wenzhong Zhang

    (Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China)

Abstract

Industrial migration is a hot topic in economic geography. This study traces the migratory process of key high-tech enterprises in Beijing during 2008–2016, revealing the migratory characteristics and patterns of high-tech enterprises within the metropolitan area by using spatial analysis methods and mathematical statistics. The results show that: (1) Migrating enterprises are mainly mixed-ownership and foreign-funded or privately-owned enterprises. Medium-sized enterprises are more likely to relocate than small and large enterprises, especially in lucrative sectors. (2) The migration of high-tech enterprises is mainly based on proximity migration. More than 77.19% of enterprises tend to move to agglomerations or agglomeration expansion areas such as Jiuxianqiao and the Beijing Economic-Technological Development Area (BDA) in Daxing District. In addition, 33 enterprises experience varying degrees of scale expansion after relocation. (3) Most high-tech manufacturing enterprises are in the growth stage of their life cycle. They initially relocate between 7 and 16 years after their establishment, which means that there is roughly a 7-year adaptation or development period for firms within a region after their establishment. During the adaptation period, companies do not tend to relocate; afterwards, as they grow, they need to find other spaces in which to do so. For reasons such as familiarity with the environment, enterprises give priority to finding new locations within the agglomeration and the surrounding area. These results deepen the understanding of the temporal and spatial characteristics of the migration of enterprises within the city from the microscopic perspective and provide a scientific basis for the optimization of industrial space in a metropolis.

Suggested Citation

  • Peiyuan Zhang & Jiaming Li & Wenzhong Zhang, 2022. "Characteristics of High-Technology Industry Migration within Metropolitan Areas—A Case Study of Beijing Metropolitan Area," Sustainability, MDPI, vol. 14(19), pages 1-19, October.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12750-:d:935197
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/19/12750/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/19/12750/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jörn-Steffen Pischke, 2001. "Continuous training in Germany," Journal of Population Economics, Springer;European Society for Population Economics, vol. 14(3), pages 523-548.
    2. Yuji Honjo, 2004. "Growth of new start-up firms: evidence from the Japanese manufacturing industry," Applied Economics, Taylor & Francis Journals, vol. 36(4), pages 343-355.
    3. Prithwiraj Choudhury, 2016. "Return migration and geography of innovation in MNEs: a natural experiment of knowledge production by local workers reporting to return migrants," Journal of Economic Geography, Oxford University Press, vol. 16(3), pages 585-610.
    4. Piyush Tiwari & Indra Syamwil & Masayuki Doi, 2003. "Spatial pattern of Japanese manufacturing industry in four ASEAN countries," Economics of Governance, Springer, vol. 82(3), pages 403-415, September.
    5. Nils-Bastian Heidenreich & Anja Schindler & Stefan Sperlich, 2013. "Bandwidth selection for kernel density estimation: a review of fully automatic selectors," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 97(4), pages 403-433, October.
    6. Vernon Henderson & Duncan Black, 1999. "Spatial Evolution of Population and Industry in the United States," American Economic Review, American Economic Association, vol. 89(2), pages 321-327, May.
    7. Dani Broitman & Itzhak Benenson & Daniel Czamanski, 2020. "The Impact of Migration and Innovations on the Life Cycles and Size Distribution of Cities," International Regional Science Review, , vol. 43(5), pages 531-549, September.
    8. Booth, Alison L, 1993. "Private Sector Training and Graduate Earnings," The Review of Economics and Statistics, MIT Press, vol. 75(1), pages 164-170, February.
    9. Yuji Honjo, 2004. "Growth of new start-up firms: evidence from the Japanese manufacturing industry," Applied Economics Letters, Taylor & Francis Journals, vol. 11(1), pages 21-32.
    Full references (including those not matched with items on IDEAS)

    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. Michel Dumont & Glenn Rayp & Marijn Verschelde & Bruno Merlevede, 2016. "The contribution of start-ups and young firms to industry-level efficiency growth," Applied Economics, Taylor & Francis Journals, vol. 48(59), pages 5786-5801, December.
    2. Pfeifer, Christian & Janssen, Simon & Yang, Philip & Backes-Gellner, Uschi, 2011. "Effects of Training on Employee Suggestions and Promotions in an Internal Labor Market," IZA Discussion Papers 5671, Institute of Labor Economics (IZA).
    3. Masatoshi Kato & Hiroyuki Okamuro & Yuji Honjo, 2015. "Does Founders' Human Capital Matter for Innovation? Evidence from Japanese Start‐ups," Journal of Small Business Management, Taylor & Francis Journals, vol. 53(1), pages 114-128, January.
    4. Gabriel V. Montes Rojas & Lucas Siga, 2009. "On the nature of micro-entrepreneurship: evidence from Argentina," Applied Economics, Taylor & Francis Journals, vol. 41(21), pages 2667-2680.
    5. Alessia Pisoni & Emanuele Aversa & Alberto Onetti, 2021. "The Role of Failure in the Entrepreneurial Process: A Systematic Literature Review," International Journal of Business and Management, Canadian Center of Science and Education, vol. 16(1), pages 1-53, August.
    6. Okamuro, Hiroyuki & Kato, Masatoshi & Honjo, Yuji, 2011. "Determinants of R&D cooperation in Japanese start-ups," Research Policy, Elsevier, vol. 40(5), pages 728-738, June.
    7. Oliver Cassagneau-Francis & Robert Gary-Bobo & Julie Pernaudet & Jean-Marc Robin, 2022. "A Nonparametric Finite Mixture Approach to Difference-in-Difference Estimation, with an Application to On-the-job Training and Wages," Working Papers hal-03869547, HAL.
    8. Grit Muehler & Michael Beckmann & Bernd Schauenberg, 2007. "The returns to continuous training in Germany: new evidence from propensity score matching estimators," Review of Managerial Science, Springer, vol. 1(3), pages 209-235, November.
    9. Salas-Velasco, Manuel, 2009. "Beyond lectures and tutorials: Formal on-the-job training received by young European university graduates," Research in Economics, Elsevier, vol. 63(3), pages 200-211, September.
    10. Otto, Anne & Fornahl, Dirk, 2008. "Long-term growth determinants of young businesses in Germany : effects of regional concentration and specialisation," IAB-Discussion Paper 200813, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    11. Cecilia ALBERT & Carlos GARCÍA-SERRANO & Virginia HERNANZ, 2010. "On-the-job training in Europe: Determinants and wage returns," International Labour Review, International Labour Organization, vol. 149(3), pages 315-341, September.
    12. Craig Wesley Carpenter & Scott Loveridge, 2020. "Business, Owner, and Regional Characteristics in Latino-owned Business Growth: An Empirical Analysis Using Confidential Census Microdata," International Regional Science Review, , vol. 43(3), pages 254-285, May.
    13. Tsuchiya, Ryuichiro & 土屋, 隆一郎, 2006. "The Role of the Manager's Education in Firm Growth: An Empirical Analysis in the Taiwanese Manufacturing Sector," Discussion Papers 2006-18, Graduate School of Economics, Hitotsubashi University.
    14. Anne Otto & Dirk Fronahl, 2009. "Long-Term Growth Determinants Of Young Businesses In Germany – The Effects Of Regional Concentration And Specialisation," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 3(1), pages 1-35, JUNE.
    15. Ersa Lanang SANJAYA & Jimmy Ellya KURNIAWAN & Stefani VIRLIA, 2019. "Adolescents’ Entrepreneurial Orientation Based on Leisure Time," Expert Journal of Business and Management, Sprint Investify, vol. 7(1), pages 36-43.
    16. Edwin Leuven & Hessel Oosterbeek, 2008. "An alternative approach to estimate the wage returns to private-sector training," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(4), pages 423-434.
    17. Yuji Honjo, 2018. "Do profitable start-up firms grow faster? Evidence from Colombia," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 37(75), pages 727-754, March.
    18. Kenji Kutsuna & Yuji Honjo, 2006. "Start-up Financing Choice and Post-entry Performance," Discussion Papers 2006-33, Kobe University, Graduate School of Business Administration.
    19. Anna Ruzik-Sierdzinska & Claudia Villosio & Michele Belloni & Maciej Lis & Monika Potoczna, 2013. "Age and productivity. Human Capital Accumulation and Depreciation," CASE Network Reports 0114, CASE-Center for Social and Economic Research.
    20. Mark Rogers & Christian Helmers & Christoffer Koch, 2010. "Firm growth and firm size," Applied Economics Letters, Taylor & Francis Journals, vol. 17(16), pages 1547-1550.

    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:gam:jsusta:v:14:y:2022:i:19:p:12750-:d:935197. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.