地理学报 ›› 2019, Vol. 74 ›› Issue (10): 2092-2107.doi: 10.11821/dlxb201910010

• 乡村振兴与区域发展 • 上一篇    下一篇

东北三省城际技术转移网络的空间演化及影响因素

刘承良1,2,3,牛彩澄2   

  1. 1. 华东师范大学全球创新与发展研究院,上海 200062
    2. 华东师范大学城市与区域科学学院,上海 200241
    3. 华东师范大学崇明生态研究院,上海 200062
  • 收稿日期:2018-08-31 修回日期:2019-07-29 出版日期:2019-10-25 发布日期:2019-10-29
  • 作者简介:刘承良(1979-), 男, 湖北武汉人, 教授, 博士生导师, 中国地理学会会员(S110013672M), 研究方向为交通地理与区域创新。E-mail: clliu@re.ecnu.edu.cn
  • 基金资助:
    国家自然科学基金项目(No.41571123);上海市“浦江学者”人才计划项目(No.17PJC030)

Spatial evolution and factors of interurban technology transfer network in Northeast China from national to local perspectives

LIU Chengliang1,2,3,NIU Caicheng2   

  1. 1. Institute for Global Innovation and Development, East China Normal University, Shanghai 200062, China
    2. School of Urban and Regional Sciences, East China Normal University, Shanghai 200241, China
    3. Institute of Eco-Chongming, East China Normal University, Shanghai 200062, China
  • Received:2018-08-31 Revised:2019-07-29 Online:2019-10-25 Published:2019-10-29
  • Supported by:
    Natural Science Foundation of China(No.41571123);Shanghai Pujiang Scholars Talent Program(No.17PJC030)

摘要:

从全国—本地视角,以东北三省为研究区,基于2005-2015年的专利权转移数据,融合社会网络、GIS空间分析和计量方法,定量刻画东北三省技术转移网络的空间演化规律。结果显示:① 全国视角下东北三省城际技术转移网络呈现“核心—边缘”等级层次性结构,形成了专利技术由东北辐散向全国沿海辐合的空间格局。② 本地视角下东北三省技术转移网络呈现出向心收缩结网态势,“哈长沈大”四大核心城市在本地网络中扮演“技术守门者”角色。技术转移表现出“强全国化,弱本地化”特征。③ 东北三省城际技术流动既存在路径依赖,也不断涌现路径创造。全国视角下,技术转移以东北三省核心城市为流源,基本流向以北京、上海和深圳分别为枢纽的京津冀、长三角和珠三角城市群。本地城际技术转移以哈尔滨、长春、沈阳、大连为集散中心,集中于省内转移,呈现等级、接触和跳跃式混合扩散空间模式。④ 地理距离接近度、产业结构相似度、经济水平差异度、创新能力相似度、技术吸收能力、外商直接投资对东北三省城际技术转移存在一定影响。

关键词: 城际技术转移, 技术转移网络, 全国—本地视角, 空间演化, 影响因素, 东北三省

Abstract:

Interurban technology transfer becomes an essential channel for regions or cities to obtain external knowledge. Based on patent transaction data among cities during 2005-2015, this study investigates the interurban technology transfer network of Northeast China, aiming to explore spatial evolution of technology transfer network in this region from national to local perspectives based on social network analysis (SNA). A negative binomial regression analysis further reveals the factors of interurban technology transfer network. The results of the study are as follows: (1) From the national perspective, the interurban technology transfer network of Northeast China presents a core-periphery structure. The spatial pattern of "divergence in the northeast region" and "convergence in the coastal areas" has been formed. (2) From the local perspective, the technology transfer network of Northeast China shows a centripetal contraction situation, and its four hubs, namely, Harbin, Changchun, Shenyang and Dalian, play the role of technology gatekeeper. The interurban technology transfer flows present the characteristic of strengthening nationalization and weakening localization, which are more likely to emerge between the Northeast-Southeast China rather than among the Northeast China. (3) Both path-dependence and path-creation exist in the spatial dynamics of intercity technology flows in Northeast China. From the national perspective, technology flows from Northeast China to the Beijing-Tianjin-Hebei, Yangtze River Delta and Pearl River Delta urban agglomerations with Beijing, Shanghai and Shenzhen as the core respectively, while the local intercity technology transfer in Northeast China presents a mixed diffusing mode including hierarchical, contagious and jump diffusions. In addition, the local network mainly focuses on intra-provincial technology flows which centered on Haibin, Changchun, Shenyang and Dalian. (4) Some drivers, such as geographical proximity, the similarity of industrial structure, economic differences, the similarity of innovation capability, technology absorptive capacity, foreign direct investment, are evidenced to play a significant or determining role in interurban technology transfer of Northeast China.

Key words: intercity technology transfer, technology transfer network, national and local perspectives, spatial evolution, factors, Northeast China