Eurasian Geography and Economics——作者:王钊

  论文标题:A Study of China's Inter-City Networks for Innovation Cooperation within Software and Service Firms

  发表时间:2019

  论文所有作者:Wang Zhao

  期刊名及所属分类:Eurasian Geography and Economics(国际SSCI or SCI)

  英文摘要:In the last couple of decades, China’s software and services industry has emerged as the driving power of economic growth playing a significant role in leading innovation in China. Research on inter-city network structure, drawing on patent cooperation among cities, helps understand the positioning of cities in terms of software and service-related innovation. This helps guide urban- or regional-development strategy. In this paper, we investigate 22,316 patents of software and service-listed firms. We examine the number of patent applications, technological innovation and development, and the geographical distribution of companies owning patents using Social Network Analysis (SNA). Our results show that: (1) Chinese software and service-related innovation has a notable agglomeration in a few geographically dispersed mega-cities such as Beijing, Shanghai, and Shenzhen; (2) the technological innovation and development of the software and services industry in China is deeply dependent on importing technologies from foreign countries, particularly from the United States and Japan; and (3) the “Industry-University-Research” combination effect of innovation in China is still relatively low. Our policy recommendations include encouragement of cooperation, innovation of investment mechanism, preferential tax treatment of enterprise income tax, and sustainable and improved learning programs for nurturing highly qualified professionals to create an environment for independent innovation and entrepreneurship.

  中文摘要:在过去的几十年里,中国的软件和服务业已经成为经济增长的驱动力,在引领中国创新方面发挥着重要作用。研究城市间的专利合作关系有助于理解城市在软件创新和服务创新方面的定位。这有助于指导城市或区域发展战略。本文对软件和服务类上市公司的22316项专利进行了调查。本文利用社会网络分析(SNA)方法,考察了专利申请数量、技术创新与发展以及拥有专利的公司的地理分布。结果表明:(1)中国软件与服务创新在北京、上海、深圳等几个地理分散的特大城市具有显著的集聚特征;(2)我国软件与服务产业的技术创新与发展严重依赖进口技术,特别是美国和日本的技术进口;(3)我国的“产学研”创新组合效应仍然较低。我们的政策建议包括:鼓励合作、创新投资机制、企业所得税税收优惠、持续完善人才培养学习计划,为自主创新创业创造良好环境。