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A comparative study of innovation agglomeration and spatial evolution in Pearl River Delta and Yangtze River Delta

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  • Jie Duan
  • Xue‐Ying Chen
  • Yan Song
  • Xian‐Jun Huang

Abstract

The increasingly intensive innovative activities enable a more straightforward tracing of knowledge spillover, by looking at the spatial agglomeration of innovative activities. Existing research looked at spatial patterns of innovative activities, but few examine the spatial evolution of the innovative agglomeration. This paper employs location quotient, Moran's Index and the method of standard deviation ellipse to analyse the spatial evolution of innovation agglomeration in the Pearl River Delta and Yangtze River Delta from 2004 to 2016. Research findings include: (i) high‐tech industry agglomeration fosters a local knowledge production network which promotes local knowledge spillover; but an existing local knowledge production network is not the precondition of agglomeration; (ii) local knowledge spillover occurs in a “core” area and there is a tendency that the core area is shrinking and being more distinctive; but individual cities' breakthrough on innovation promotion triggered by intercity competition contributes to breaking the shrinking process; and (iii) the evolving of spatial patterns of innovative activities follows that of high‐tech industries agglomeration in general, but some mismatches between them suggest the spatial distribution of high‐tech industries cannot take full advantage of the innovative resources and facilities in the two regions. Accordingly, it is recommended that local policies would encourage better connections between high‐tech industries with other local facilities and resources of innovation, to strengthen the spatial connections of innovative activities between cities within the region to provide sustained support to innovation in the region, but maintain the intercity competition mechanisms to secure the sources of breakthrough development on innovation. Las actividades innovadoras cada vez más intensivas permiten un rastreo más directo del spillover del conocimiento, mediante la observación de la aglomeración espacial de las actividades innovadoras. La investigación existente ha estudiado los patrones espaciales de las actividades innovadoras, pero pocos estudios examinan la evolución espacial de la aglomeración de la innovación. En este artículo se emplea el cociente de localización, el índice de Moran y el método de la elipse de desviación estándar para analizar la evolución espacial de la aglomeración de la innovación en el delta del río de las Perlas y el delta del río Yangtze desde 2004 hasta 2016. Entre los hallazgos de la investigación están: i) una elevada aglomeración de industrias tecnológicas fomenta una red de producción de conocimientos locales que promueve spillovers del conocimiento local, pero la existencia de una red de producción de conocimientos locales no es una condición previa de la aglomeración; ii) los spillovers del conocimiento local se producen en una zona “núcleo” y existe una tendencia a que la zona núcleo se reduzca y se haga más distintiva, pero los avances de las ciudades individuales en la promoción de la innovación impulsada por la competencia interurbana contribuye a destruir el proceso de reducción; y iii) la evolución de los patrones espaciales de las actividades innovadoras es parecido, en general, al de la aglomeración de las industrias de alta tecnología, pero algunos desajustes entre ellos sugieren que la distribución espacial de las industrias de alta tecnología no puede aprovechar plenamente los recursos e instalaciones innovadoras de las dos regiones. En consecuencia, se recomienda que las políticas locales fomenten una mejor conexión entre las industrias de alta tecnología y otras instalaciones y recursos locales de innovación, para fortalecer las conexiones espaciales de las actividades innovadoras entre las ciudades de la región, a fin de prestar un apoyo sostenido a la innovación en la región y mantener a la vez los mecanismos de competencia interurbana con los que asegurar las fuentes de desarrollo de los avances en materia de innovación. イノベーション的活動の空間的集積を見ることにより、イノベーション的活動の集中度が高まるにつれ、より直接的な知識のスピルオーバーの追跡が可能になる。既存研究では、イノベーション的活動の空間パターンは検討されているが、イノベーションの集積の空間的な進化を検討した研究はほとんどない。本稿では、立地係数、Moran指数および標準偏差楕円法を用いて、2004~2016年までの珠江デルタと長江デルタにおけるイノベーション集積の空間的発展を分析した。以下の知見が得られた。1)ハイテク産業の集積により、地域の知識のスピルオーバーを促進する地域の知識生産ネットワークが発達するが、既存の知識生産ネットワークは集積の前提条件ではない。2)中心(core)エリアでは、地域の知識のスピルオーバーが生じており、中心エリアが縮小し、より特徴的なものとなる傾向がある。しかし、都市間の競争をきっかけとした、各都市のイノベーションの促進に関するブレークスルーは、この縮小の抑止に寄与している。3)イノベーション的活動の空間パターンの進化は、通常はハイテク産業の集積の空間パターンの進化に従うが、それらのいくつかのミスマッチから、ハイテク産業の空間分布が2つの地域におけるイノベーションの資源と施設を十分に活用できないことが示唆される。したがって、ハイテク産業と他の地域の施設やイノベーションの資源とのより良い関係を促進し、地域におけるイノベーションへの持続的支援を提供するために地域内のイノベーション的活動の空間的な関係を強化しながらも、イノベーションの突破口となる発展の源を確保する都市間競争メカニズムを維持する地域政策の実施が推奨される。

Suggested Citation

  • Jie Duan & Xue‐Ying Chen & Yan Song & Xian‐Jun Huang, 2022. "A comparative study of innovation agglomeration and spatial evolution in Pearl River Delta and Yangtze River Delta," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(S2), pages 19-35, November.
  • Handle: RePEc:bla:rgscpp:v:14:y:2022:i:s2:p:19-35
    DOI: 10.1111/rsp3.12374
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