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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”.

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  • 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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    19. Bingqiang Li & Jing Yu & Lei Huang & Jinzhi Li & Changhan Luo, 2021. "Coupling Development of Manufacturing Promotion and Innovation in China," SAGE Open, , vol. 11(4), pages 21582440211, October.
    20. Huang, Yaofu & Hui, Eddie C.M. & Zhou, Jinmiao & Lang, Wei & Chen, Tingting & Li, Xun, 2020. "Rural Revitalization in China: Land-Use Optimization through the Practice of Place-making," Land Use Policy, Elsevier, vol. 97(C).
    21. Gao, Da & Li, Ge & Yu, Jiyu, 2022. "Does digitization improve green total factor energy efficiency? Evidence from Chinese 213 cities," Energy, Elsevier, vol. 247(C).
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    23. Liu, Liang & Yang, Kun & Fujii, Hidemichi & Liu, Jun, 2021. "Artificial intelligence and energy intensity in China’s industrial sector: Effect and transmission channel," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 276-293.

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