管理评论 ›› 2024, Vol. 36 ›› Issue (5): 64-74.

• 创新与创业管理 • 上一篇    

基于空间计量的资源集群与创新网络的互动关系研究

金镭1, 张璐2, 陈劲3, 常原华4, 张强2, 白裕2   

  1. 1. 中国石油大学(北京)经济管理学院, 北京 102249;
    2. 内蒙古工业大学经济管理学院, 呼和浩特 010051;
    3. 清华大学经济管理学院, 北京 100084;
    4. 中国人民大学生态环境学院, 北京 100872
  • 收稿日期:2021-06-29 发布日期:2024-06-06
  • 通讯作者: 张璐(通讯作者),内蒙古工业大学经济管理学院副院长,教授,博士。
  • 作者简介:金镭,中国石油大学(北京)经济管理学院教授,博士;陈劲,清华大学经济管理学院教授,博士;常原华,中国人民大学生态环境学院博士研究生;张强,内蒙古工业大学经济管理学院讲师,硕士;白裕,内蒙古工业大学经济管理学院硕士研究生。
  • 基金资助:
    国家自然科学基金项目(72262025;72162028;72274213);内蒙古自然科学基金青年项目(2023QN07014);教育部人文社会科学基金面上项目(18YJA630046)。

Research on the Interaction between Resource Cluster and Innovation Network Based on Spatial Metrology

Jin Lei1, Zhang Lu2, Chen Jin3, Chang Yuanhua4, Zhang Qiang2, Bai Yu2   

  1. 1. School of Economics and Management, China University of Petroleum, Beijing 102249;
    2. School of Economics and Management, Inner Mongolia University of Technology, Hohhot 010051;
    3. School of Economics and Management, Tsinghua University, Beijing 100084;
    4. School of Ecology & Environment, Renmin University of China, Beijing 100872
  • Received:2021-06-29 Published:2024-06-06

摘要: 如何通过资源型集群的转型升级和区域创新网络的创新驱动,避免路径锁定实现可持续发展,是我国众多资源枯竭型城市正在面对的难题。本文首先使用数据包络分析法测度了资源型集群的经济发展效率和区域创新网络的创新效率,然后以空间地理因素为切入点,构建了资源型集群和区域创新网络的空间计量模型,探索由技术、人员、信息等因素产生的空间溢出效应对资源型集群和区域创新网络的作用机制。研究发现:资源型城市中的产业集群和区域创新网络存在显著的“虹吸效应”;区域创新网络对资源型集群的支撑作用更为明显,资源型集群对区域创新网络的贡献相对较少;区域创新网络中的技术、基础设施和人力资源具有显著空间溢出效应,资源型集群的空间溢出效应则不显著。

关键词: 产业集群, 区域创新网络, 空间效应, 资源产业

Abstract: It is quite challenging for China to find out how to change the resource-based industrial cluster or use regional innovation net-works to avoid path locks and achieve sustainable development. This study uses DEA method to measure the economic development effi-ciency of resource-based industrial cluster and the innovation efficiency of regional innovation network. Based on the spatial factors, this study builds a spatial econometric model of resource-based industrial cluster and regional innovation network to explore the mechanism of how the spatial spillover effect caused by factors such as technology, people, and information acts on resource-based industrial cluster and regional innovation network. The study finds that cluster and regional innovation network in resource-based cities have a significant “siphonic effect”; regional innovation network has a significant supporting effect on resource-based cluster, and resource-based cluster contributes less to regional innovation network; technology, infrastructure and people in regional innovation network have a significant spatial spillover effect, while the spatial spillover effect of resource-based industrial cluster is not significant.

Key words: industrial cluster, regional innovation network, spatial effect, resource industry