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Transition from factor-driven to innovation-driven urbanization in China: A study of manufacturing industry automation in Dongguan City

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  • Li, Xun
  • Hui, Eddie Chi-man
  • Lang, Wei
  • Zheng, Shali
  • Qin, Xiaozhen

Abstract

Following the reform and opening up of China, the Pearl River Delta (PRD) region became a center of foreign investment due to its comparative advantages of cheap labor costs and low land use prices. The tide of migrant workers, comprising a large surplus rural labor force that flooded into the PRD region, caused a rapid increase in the urban population. From the 1980s to the 2000s, migrant workers were a key force that drove urbanization in China. The utilization of automation technology in production since the 2010s has increased the number of unemployed laborers and shifted the dynamics of urbanization. This study investigated how automation is applied in production processes and its effects on different industries, namely, those related to textiles, electronic information, and home electrical appliance manufacturing; specifically we sought to examine the complex relationship among automation, the labor forces, and urbanization by illustrating the implementation of automation in production processes and its influence on labor forces and urbanization. This study revealed that companies in different industries implement automation to differing degrees and through varied upgrading paths. All industries can ultimately achieve technological transformation and cross-industry development. For labor forces, automation exerts two simultaneous folded effects, namely, the direct replacement of low- to middle-skilled workers and the creation of new jobs. The penetration of automation into manufacturing industries has changed the dynamics of urbanization and the social spatial structure of cities, leading to a polarization of the labor forces and the emergence of “dual cities”.

Suggested Citation

  • Li, Xun & Hui, Eddie Chi-man & Lang, Wei & Zheng, Shali & Qin, Xiaozhen, 2020. "Transition from factor-driven to innovation-driven urbanization in China: A study of manufacturing industry automation in Dongguan City," China Economic Review, Elsevier, vol. 59(C).
    • Handle: RePEc:eee:chieco:v:59:y:2020:i:c:s1043951x19301439
    DOI: 10.1016/j.chieco.2019.101382
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    as
    1. Yanrui Wu, 2016. "China's Capital Stock Series by Region and Sector," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 11(1), pages 156-172, March.
    2. G. M.P. Swann, 2009. "The Economics of Innovation," Books, Edward Elgar Publishing, number 13211.
    3. Eric Bartelsman & Phoebus Dhrymes, 1998. "Productivity Dynamics: U.S. Manufacturing Plants, 1972–1986," Journal of Productivity Analysis, Springer, vol. 9(1), pages 5-34, January.
    4. Georg Graetz & Guy Michaels, 2017. "Is Modern Technology Responsible for Jobless Recoveries?," American Economic Review, American Economic Association, vol. 107(5), pages 168-173, May.
    5. Guan, JianCheng & Pang, Lanxin, 2017. "Industry specific effects on innovation performance in China," China Economic Review, Elsevier, vol. 44(C), pages 125-137.
    6. Barbieri, Elisa & Di Tommaso, Marco R. & Bonnini, Stefano, 2012. "Industrial development policies and performances in Southern China: Beyond the specialised industrial cluster program," China Economic Review, Elsevier, vol. 23(3), pages 613-625.
    7. GOLLEY, Jane & WEI, Zheng, 2015. "Population dynamics and economic growth in China," China Economic Review, Elsevier, vol. 35(C), pages 15-32.
    8. Andersson, Roland & Quigley, John M. & Wilhelmsson, Mats, 2009. "Urbanization, productivity, and innovation: Evidence from investment in higher education," Journal of Urban Economics, Elsevier, vol. 66(1), pages 2-15, July.
    9. J. Knoben, 2009. "Localized inter-organizational linkages, agglomeration effects, and the innovative performance of firms," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 43(3), pages 757-779, September.
    10. Su, Yaqin & Tesfazion, Petros & Zhao, Zhong, 2018. "Where are the migrants from? Inter- vs. intra-provincial rural-urban migration in China," China Economic Review, Elsevier, vol. 47(C), pages 142-155.
    11. Zhou, Yixiao & Tyers, Rod, 2019. "Automation and inequality in China," China Economic Review, Elsevier, vol. 58(C).
    12. Philippe Aghion & Benjamin F. Jones & Charles I. Jones, 2018. "Artificial Intelligence and Economic Growth," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 237-282, National Bureau of Economic Research, Inc.
    13. Golley, Jane & Meng, Xin, 2011. "Has China run out of surplus labour?," China Economic Review, Elsevier, vol. 22(4), pages 555-572.
    14. John Humphrey & Hubert Schmitz, 2002. "How does insertion in global value chains affect upgrading in industrial clusters?," Regional Studies, Taylor & Francis Journals, vol. 36(9), pages 1017-1027.
    15. H. Allan Hunt & Timothy L. Hunt, "undated". "Human Resource Implications of Robotics," Upjohn Working Papers hahtlh1985, W.E. Upjohn Institute for Employment Research.
    16. Dunne, Paul & Hughes, Alan, 1994. "Age, Size, Growth and Survival: UK Companies in the 1980s," Journal of Industrial Economics, Wiley Blackwell, vol. 42(2), pages 115-140, June.
    17. Chang, Jae-Hee. & Rynhart, Gary. & Huynh, Phu., 2016. "ASEAN in transformation how technology is changing jobs and enterprises," ILO Working Papers 994909343402676, International Labour Organization.
    18. Lang, Wei & Long, Ying & Chen, Tingting & Li, Xun, 2019. "Reinvestigating China’s urbanization through the lens of allometric scaling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1429-1439.
    19. Xing, Chunbing & Zhang, Junfu, 2017. "The preference for larger cities in China: Evidence from rural-urban migrants," China Economic Review, Elsevier, vol. 43(C), pages 72-90.
    20. Jedwab,Remi Camille & Christiaensen,Luc & Gindelsky,Marina, 2015. "Demography, urbanization and development : rural push, urban pull and... urban push ?," Policy Research Working Paper Series 7333, The World Bank.
    21. Majumdar, Sumit K. & Venkataraman, S., 1993. "New technology adoption in US telecommunications: The role of competitive pressures and firm-level inducements," Research Policy, Elsevier, vol. 22(5-6), pages 521-536, November.
    22. Harris, John R & Todaro, Michael P, 1970. "Migration, Unemployment & Development: A Two-Sector Analysis," American Economic Review, American Economic Association, vol. 60(1), pages 126-142, March.
    23. Yi Liu, 2017. "The dynamics of local upgrading in globalizing latecomer regions: a geographical analysis," Regional Studies, Taylor & Francis Journals, vol. 51(6), pages 880-893, June.
    Full references (including those not matched with items on IDEAS)

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