• Geographical Research
  • Vol. 39, Issue 5, 1045 (2020)
Shengjun ZHU1、1, Wenwan JIN1、1, and Xiaohui HU2、2
Author Affiliations
  • 1.Department of Urban and Regional Planning, Peking University, Beijing 100871, China
  • 1.北京大学城市与环境学院,北京 100871
  • 2.School of Public Administration, Zhejiang University of Finance & Economics, Hangzhou 310018, China
  • 2.浙江财经大学公共管理学院,杭州 310018
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    DOI: 10.11821/dlyj020190995 Cite this Article
    Shengjun ZHU, Wenwan JIN, Xiaohui HU. The regional industrial dynamics from the perspective of relatedness[J]. Geographical Research, 2020, 39(5): 1045 Copy Citation Text show less

    Abstract

    Chinese economic development has experienced a rapid transformation since 1978 due to the implementation of the reform and opening-up policy. Arguably the research of regional industry dynamics is at the core of economic geography. Traditional researches in economic geography tend to focus on individuals such as firms, industries and regions, ignoring the relationship between them. Over the past few years, much progress has been made in researches on the relatedness of firms, while the relatedness of industries and regions is still not paid sufficient attentions. From the perspective of relatedness, this paper attempts to shed some light on the linkages of industries and regions, and explore their formation mechanisms. It puts forward that the translocal linkages and resource mobilization on different scales are sources of the relatedness of firms, industries and regions. In addition, this paper also sketches out how industrial relatedness and regional relatedness influences regional industrial dynamics. As for industrial relatedness, evolutionary economic geography (EEG) theories based on a network model named the "product space" have adopted a view that regional spillovers from related, yet not too proximate industries will endogenously induce new industries in a region through processes of recombinatorial innovation. The vast majority of empirical case studies have confirmed these theories. Regional industrial dynamics has thus far largely been conceptualized as an endogenous process, underplaying exogenously-driven forms of regional relatedness. Then, this paper provides a systematic conceptual analysis of the role regional relatedness may play for industrial dynamics in regions. Good connections between the regions improve matching on labour markets, speeding up knowledge flows and plausibly fostering learning which will contribute to the reciprocal industrial dynamics of geographically distant regions. Accordingly, this paper argues that future studies can further investigate the regional development from a relatedness perspective: (1) pay more attention to the industrial relatedness, such as its indirect links, link strengths and industrial relatedness dynamics; (2) enhance the understanding of the properties of regional relatedness and draw on network analysis approaches; (3) forge a link between industrial relatedness and regional relatedness. Emanated from different disciplines, the new perspective of relatedness in the study of regional industry dynamics provides a sound basis for understanding China's special development path and deserves the attention of economic geography scholars. Besides, there is rapidly expanding various data of relatedness which will make the perspective of relatedness more potential in the future.
    Shengjun ZHU, Wenwan JIN, Xiaohui HU. The regional industrial dynamics from the perspective of relatedness[J]. Geographical Research, 2020, 39(5): 1045
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