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Innovation in suburban development zones: Evidence from Nanjing, China

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  • Yingcheng Li
  • Xingping Wang

Abstract

While suburban areas have been typically related with urban sprawl, low density, cheap land price and low‐end manufacturing industries, relatively little attention has been paid to the spatial organization of innovation in suburban areas. In some Chinese cities, development zones (kai fa qu) in their suburban areas which are generally regarded as major spaces for traditional manufacturing industries have been transforming into spaces for innovation. This paper provides a case study of Nanjing, the capital of Jiangsu province in Eastern China by investigating and explaining the learning and innovation processes in suburban development zones. Drawing upon a unique database on 733 state‐certified high‐tech firms in Nanjing from 2008 to 2012 which contains detailed information on their addresses and number of patents, we observe strong spatial disparity in the distribution of innovation. Suburban districts of Nanjing where its three national‐level development zones and many provincial‐level development zones are located have become major spaces for innovation of the city. The planning of industrial clusters in development zones, the place‐based investment in the suburbs, and the suburbanization of universities are three major mechanisms behind the learning and innovation processes in Nanjing’s suburban development zones.

Suggested Citation

  • Yingcheng Li & Xingping Wang, 2019. "Innovation in suburban development zones: Evidence from Nanjing, China," Growth and Change, Wiley Blackwell, vol. 50(1), pages 114-129, March.
  • Handle: RePEc:bla:growch:v:50:y:2019:i:1:p:114-129
    DOI: 10.1111/grow.12270
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    Cited by:

    1. Weijie Jiang & Kairui Cao & Laiqun Jin & Yongyi Cheng & Qunfang Xu, 2022. "How Do China’s Development Zones Affect Environmental Pollution under Government Domination," Sustainability, MDPI, vol. 14(7), pages 1-18, March.
    2. ErLe Du & Meng Ji, 2021. "Analyzing the regional economic changes in a high-tech industrial development zone using machine learning algorithms," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-18, June.
    3. Kaimeng Li & Shuang Gao & Yuantao Liao & Ke Luo & Shaojian Wang, 2022. "The Impact of Development Zones on China’s Urbanization from the Perspectives of the Population, Land, and the Economy," Land, MDPI, vol. 11(10), pages 1-16, October.
    4. Kaihuang Zhang & Qinglan Qian & Yijing Zhao, 2020. "Evolution of Guangzhou Biomedical Industry Innovation Network Structure and Its Proximity Mechanism," Sustainability, MDPI, vol. 12(6), pages 1-20, March.
    5. Lingfan Yang & Xiaolong Luo & Ziyao Ding & Xiaoman Liu & Zongni Gu, 2022. "Restructuring for Growth in Development Zones, China: A Systematic Literature and Policy Review (1984–2022)," Land, MDPI, vol. 11(7), pages 1-32, June.
    6. Laiqun Jin & Xiuyan Liu & Sam Hak Kan Tang, 2021. "High-Technology Zones, Misallocation of Resources among Cities and Aggregate Productivity: Evidence from China," Economics Discussion / Working Papers 21-11, The University of Western Australia, Department of Economics.

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