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Beyond technological relatedness: An evolutionary pro-growth coalition and industrial transformation in Kunshan, China

Publication ,  Journal Article
Wang, CC; Gereffi, G; Liu, Z
Published in: Growth and Change
December 1, 2021

The article develops an analytical framework for an adaptable and evolutionary pro-growth coalition led by local government to understand regional industrial transformation in developing China. Taking Kunshan as an example, we argue that evolutionary and adaptable coalitions were key to Kunshan's successful transformation from an agriculture county to an export-oriented industrial center, and to a more diversified city. The coalition of the local state with land-holding farmers, domestic and international firms, and the central government during the 1980s-1990s laid a foundation for industrial transformation; the strong coalition of local state and Taiwanese investors in the 1990s-2000s shaped its new industry of IT manufacturing; and the coalition of local state with multiple actors at various geographical scales contributed a more diversified and innovative industrial structure of Kunshan. This study highlights that industrial evolution is not only driven by technological relatedness but also by the evolutionary state-led coalition of multiple actors from different levels and at different stages, and appeals for a political economy perspective to understand industrial transformation of resource- scarce regions.

Duke Scholars

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Published In

Growth and Change

DOI

EISSN

1468-2257

ISSN

0017-4815

Publication Date

December 1, 2021

Volume

52

Issue

4

Start / End Page

2318 / 2341

Related Subject Headings

  • Urban & Regional Planning
  • 3801 Applied economics
  • 3304 Urban and regional planning
  • 1604 Human Geography
  • 1402 Applied Economics
  • 1205 Urban and Regional Planning
 

Citation

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Wang, C. C., Gereffi, G., & Liu, Z. (2021). Beyond technological relatedness: An evolutionary pro-growth coalition and industrial transformation in Kunshan, China. Growth and Change, 52(4), 2318–2341. https://doi.org/10.1111/grow.12566
Wang, C. C., G. Gereffi, and Z. Liu. “Beyond technological relatedness: An evolutionary pro-growth coalition and industrial transformation in Kunshan, China.” Growth and Change 52, no. 4 (December 1, 2021): 2318–41. https://doi.org/10.1111/grow.12566.
Wang, C. C., et al. “Beyond technological relatedness: An evolutionary pro-growth coalition and industrial transformation in Kunshan, China.” Growth and Change, vol. 52, no. 4, Dec. 2021, pp. 2318–41. Scopus, doi:10.1111/grow.12566.
Journal cover image

Published In

Growth and Change

DOI

EISSN

1468-2257

ISSN

0017-4815

Publication Date

December 1, 2021

Volume

52

Issue

4

Start / End Page

2318 / 2341

Related Subject Headings

  • Urban & Regional Planning
  • 3801 Applied economics
  • 3304 Urban and regional planning
  • 1604 Human Geography
  • 1402 Applied Economics
  • 1205 Urban and Regional Planning