Agglomeration and Innovation: An Empirical Study Based on China's Manufacturing Data

被引:3
|
作者
Li, Zeyang [1 ]
机构
[1] Huaqiao Univ, Sch Stat, 668 Jimei Ave, Xiamen 361021, Fujian, Peoples R China
关键词
innovation; spatial agglomeration; manufacturing data; GROWTH; ECONOMIES; DIVERSITY; CITIES;
D O I
10.20965/jaciii.2021.p0563
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This study explores the relationship between spatial agglomeration and innovation, taking Chinese manufacturing data as an example. Tractable model is built to explain the mechanism through which spatial concentration of firms in a city affects industrial innovation. Then in the empirical analysis, new agglomeration and innovation indicators are used to test the theoretical conclusions at the city-industry level. Results show that the geographical concentration of firms has significant negative effects on industrial innovation and growth. These overall effects can be divided into positive and negative categories after considering the interaction between the industrial labor scale and firm's spatial agglomeration. Industries with a higher labor scale will bear more crowding effects of firms' spatial agglomeration. These findings mean that moving to a less concentrated area might be a good choice for the labor-intensive firms which aim at innovation.
引用
收藏
页码:563 / 573
页数:11
相关论文
共 50 条
  • [31] A Study of the Impact of Innovation on Industrial Upgrading in China: A Spatial Econometric Analysis Based on China's Provincial Panel Data
    Jiang, Jiao
    Zhao, Xindong
    JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, 2020, 24 (03) : 272 - 281
  • [32] Empirical Study on the Relationship between the Spatial Agglomeration Index and Agglomeration Efficiency in the Textile Industry
    Xu Yan-qing
    Wang Cai-jun
    Xu Wei-xiang
    2012 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE & ENGINEERING, 2012, : 1089 - 1095
  • [33] Market segmentation and energy efficiency-an empirical study based on China's provincial panel data
    Qi, Xiao-Feng
    Zhou, Li-Hong
    ENERGY EFFICIENCY, 2020, 13 (08) : 1781 - 1797
  • [34] Innovation, South-North Trade and Manufacturing Industry Agglomeration
    Yin Desheng
    PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON INNOVATION AND MANAGEMENT, 2011, : 236 - 240
  • [35] Learning mechanisms and technological innovation performance: a study of China's mobile phone manufacturing firms
    Hioki, Shiro
    Ding, Ke
    INNOVATION AND DEVELOPMENT, 2024, 14 (03) : 607 - 627
  • [36] Data Regulation and Data-Based Innovation in China: A Four-Group Game Model Using Empirical Testing
    Zhou, Xiaoxiao
    Zhao, Yongan
    Zhao, Xin
    Ahmad, Ashfaq
    Shahzad, Umer
    IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2024, 71 : 7586 - 7608
  • [37] Will China's R&D investment improve green innovation performance? An empirical study
    Fan, Jundi
    Teo, Thompson
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (26) : 39331 - 39344
  • [38] Government Subsidies, Spatial Agglomeration and Innovation Performance-An empirical study of industrial policy disputes
    Yu, Rongjian
    Wang, Jinwei
    PROCEEDINGS OF THE 2017 INTERNATIONAL SEMINAR ON ARTIFICIAL INTELLIGENCE, NETWORKING AND INFORMATION TECHNOLOGY (ANIT 2017), 2017, 150 : 267 - 276
  • [39] Spatial Agglomeration of China's Forest Products Manufacturing Industry: Measurement, Characteristics and Determinants
    Chen, Zhenhuan
    Zhu, Hongge
    Zhao, Wencheng
    Zhao, Menghan
    Zhang, Yutong
    FORESTS, 2021, 12 (08):
  • [40] Identification of risk constraints of innovation for SMEs: An empirical study in China
    Xie Xuemei
    Zeng Saixing
    PROCEEDINGS OF THE 2008 INTERNATIONAL CONFERENCE ON E-RISK MANAGEMENT (ICERM 2008), 2008, : 53 - 58