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Relatedness, Complexity, and Economic Growth in Chinese Cities

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  • Yingcheng Li
  • David Rigby

Abstract

Innovation is generally regarded as critical to long-run economic growth. Recent work, at different spatial scales, suggests economies that develop more complex technologies that are related to their existing knowledge stocks enjoy a growth premium. Thus, “smarter†forms of innovation may accelerate growth. These claims are examined using Chinese patent data distributed across 286 cities over the period 1991–2015. Fixed-effects panel models report that city-level GDP growth in China has a significant and positive relationship with diversification into more related and complex technologies, after controlling for the overall pace of innovation and other covariates. Robustness checks focusing on spatial autocorrelation and endogeneity affirm the core findings.

Suggested Citation

  • Yingcheng Li & David Rigby, 2023. "Relatedness, Complexity, and Economic Growth in Chinese Cities," International Regional Science Review, , vol. 46(1), pages 3-37, January.
    • Handle: RePEc:sae:inrsre:v:46:y:2023:i:1:p:3-37
    DOI: 10.1177/01600176221082308
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    Cited by:

    1. Mert Abay & Sedef Akgüngör, 2024. "Technological paths and smart specialization: analysis of regional entry and exit in Turkey," Asia-Pacific Journal of Regional Science, Springer, vol. 8(1), pages 45-84, March.

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