IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0256162.html
   My bibliography  Save this article

Research on the evolution and driving forces of the manufacturing industry during the “13th five-year plan” period in Jiangsu province of China based on natural language processing

Author

Listed:
  • Shiguang Shen
  • Chaoyang Zhu
  • Chenjing Fan
  • Chengcheng Wu
  • Xinran Huang
  • Lin Zhou

Abstract

The development of China’s manufacturing industry has received global attention. However, research on the distribution pattern, changes, and driving forces of the manufacturing industry has been limited by the accessibility of data. This study proposes a method for classifying based on natural language processing. A case study was conducted employing this method, hotspot detection and driving force analysis, wherein the driving forces industrial development during the “13th Five-Year plan” period in Jiangsu province were determined. The main conclusions of the empirical case study are as follows. 1) Through the acquisition of Amap’s point-of-interest (POI, a special point location that commonly used in modern automotive navigation systems.) data, an industry type classification algorithm based on the natural language processing of POI names is proposed, with Jiangsu Province serving as an example. The empirical test shows that the accuracy was 95%, and the kappa coefficient was 0.872. 2) The seven types of manufacturing industries including the pulp and paper (PP) industry, metallurgical chemical (MC) industry, pharmaceutical manufacturing (PM) industry, machinery and electronics (ME) industry, wood furniture (WF) industry, textile clothing (TC) industry, and agricultural and food product processing (AF) industry are drawn through a 1 km× 1km projection grid. The evolution map of the spatial pattern and the density field hotspots are also drawn. 3) After analyzing the driving forces of the changes in the number of manufacturing industries mentioned above, we found that manufacturing base, distance from town, population, GDP per capita, distance from the railway station were the significant driving factors of changes in the manufacturing industries mentioned above. The results of this research can help guide the development of manufacturing industries, maximize the advantages of regional factors and conditions, and provide insight into how the spatial layout of the manufacturing industry could be optimized.

Suggested Citation

  • Shiguang Shen & Chaoyang Zhu & Chenjing Fan & Chengcheng Wu & Xinran Huang & Lin Zhou, 2021. "Research on the evolution and driving forces of the manufacturing industry during the “13th five-year plan” period in Jiangsu province of China based on natural language processing," PLOS ONE, Public Library of Science, vol. 16(8), pages 1-15, August.
    • Handle: RePEc:plo:pone00:0256162
    DOI: 10.1371/journal.pone.0256162
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0256162
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0256162&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0256162?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
    ---><---

    References listed on IDEAS

    as
    1. David H. Autor & David Dorn & Gordon H. Hanson, 2013. "The China Syndrome: Local Labor Market Effects of Import Competition in the United States," American Economic Review, American Economic Association, vol. 103(6), pages 2121-2168, October.
    2. Brandt, Loren & Van Biesebroeck, Johannes & Zhang, Yifan, 2012. "Creative accounting or creative destruction? Firm-level productivity growth in Chinese manufacturing," Journal of Development Economics, Elsevier, vol. 97(2), pages 339-351.
    3. Jianing Hou & Shih-Chih Chen & De Xiao, 2018. "Measuring the Benefits of the “One Belt, One Road” Initiative for Manufacturing Industries in China," Sustainability, MDPI, vol. 10(12), pages 1-16, December.
    4. Jong-Wha Lee, 2017. "China's economic growth and convergence," The World Economy, Wiley Blackwell, vol. 40(11), pages 2455-2474, November.
    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. Andrés César & Guillermo Falcone, 2020. "Heterogeneous Effects of Chinese Import Competition on Chilean Manufacturing Plants," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 1-60, December.
    2. Tiago Pereira, 2016. "The effect of developing countries' competition on regional labour markets in Portugal," GEE Papers 0058, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Mar 2016.
    3. David H. Autor & David Dorn & Gordon H. Hanson & Jae Song, 2014. "Trade Adjustment: Worker-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(4), pages 1799-1860.
    4. Cheng, Wenya & Morrow, John & Tacharoen, Kitjawat, 2012. "Productivity as if space mattered: an application to factor markets across China," LSE Research Online Documents on Economics 48930, London School of Economics and Political Science, LSE Library.
    5. Wenjing Duan & Pedro S. Martins, 2022. "Rent sharing in China: Magnitude, heterogeneity and drivers," British Journal of Industrial Relations, London School of Economics, vol. 60(1), pages 176-219, March.
    6. Xiang Ding & Teresa C. Fort & Stephen J. Redding & Peter K. Schott, 2019. "Structural Change Within Versus Across Firms: Evidence from the United States," Working Papers 2019-9, Princeton University. Economics Department..
    7. L. An & C. Hu & Yong Tan, 2017. "Regional effects of export tax rebate on exporting firms: Evidence from China," Review of International Economics, Wiley Blackwell, vol. 25(4), pages 774-798, September.
    8. Srikant Devaraj & Marcus T. Wolfe & Pankaj C. Patel, 2021. "Creative destruction and regional health: evidence from the US," Journal of Evolutionary Economics, Springer, vol. 31(2), pages 573-604, April.
    9. Yang Yang, 2018. "Transport Infrastructure, City Productivity Growth and Sectoral Reallocation: Evidence from China," IMF Working Papers 2018/276, International Monetary Fund.
    10. Limão, Nuno & Handley, Kyle, 2013. "Policy Uncertainty, Trade and Welfare: Theory and Evidence for China and the U.S," CEPR Discussion Papers 9615, C.E.P.R. Discussion Papers.
    11. César, Andrés & Falcone, Guillermo & Gasparini, Leonardo, 2021. "Costs and benefits of trade shocks: Evidence from Chilean local labor markets," Labour Economics, Elsevier, vol. 73(C).
    12. Shuai Chen & Faqin Lin & Xi Yao & Peng Zhang, 2020. "WTO accession, trade expansion, and air pollution: Evidence from China’s county‐level panel data," Review of International Economics, Wiley Blackwell, vol. 28(4), pages 1020-1045, September.
    13. David H. Autor & David Dorn & Gordon H. Hanson, 2016. "The China Shock: Learning from Labor-Market Adjustment to Large Changes in Trade," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 205-240, October.
    14. Antonio Rodriguez-Lopez & Miaojie Yu, 2017. "All-Around Trade Liberalization and Firm-Level Employment: Theory and Evidence from China," CESifo Working Paper Series 6710, CESifo.
    15. Daron Acemoglu & David Autor & David Dorn & Gordon H. Hanson & Brendan Price, 2016. "Import Competition and the Great US Employment Sag of the 2000s," Journal of Labor Economics, University of Chicago Press, vol. 34(S1), pages 141-198.
    16. Gan, Li & Hernandez, Manuel A. & Ma, Shuang, 2016. "The higher costs of doing business in China: Minimum wages and firms' export behavior," Journal of International Economics, Elsevier, vol. 100(C), pages 81-94.
    17. Clement Imbert & Marlon Seror & Yifan Zhang & Yanos Zylberberg, 2022. "Migrants and Firms: Evidence from China," American Economic Review, American Economic Association, vol. 112(6), pages 1885-1914, June.
    18. Liu, Shaohui & Liu, Chuanjiang & Yang, Mian, 2022. "Greening of Chinese industrial sector: Stakeholders' responsiveness to non-governmental environmental monitoring," China Economic Review, Elsevier, vol. 72(C).
    19. David H. Autor & David Dorn & Gordon H. Hanson, 2015. "Untangling Trade and Technology: Evidence from Local Labour Markets," Economic Journal, Royal Economic Society, vol. 0(584), pages 621-646, May.
    20. Jérôme Adda & Yarine Fawaz, 2020. "The Health Toll of Import Competition," The Economic Journal, Royal Economic Society, vol. 130(630), pages 1501-1540.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0256162. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.