资源科学 ›› 2021, Vol. 43 ›› Issue (8): 1509-1521.doi: 10.18402/resci.2021.08.01

• 资源经济 •    下一篇

网络权力、知识溢出对中国城市绿色经济效率的影响

盛科荣1(), 王丽萍1, 孙威2,3()   

  1. 1.山东理工大学经济学院,淄博 255012
    2.中国科学院地理科学与资源研究所,北京 100101
    3.中国科学院大学资源与环境学院,北京 100049
  • 收稿日期:2020-09-29 修回日期:2021-02-14 出版日期:2021-08-25 发布日期:2021-10-25
  • 通讯作者: 孙威,男,河南开封人,博士,副研究员,研究方向为区域可持续发展与空间规划。E-mail: sunw@igsnrr.ac.cn
  • 作者简介:盛科荣,男,山东日照人,博士,教授,研究方向为城市经济与区域可持续发展。E-mail: shengkerong@163.com
  • 基金资助:
    国家自然科学基金项目(41771173);国家自然科学基金项目(41871117)

Impacts of network power and knowledge spillovers on China’s urban green economic efficiency

SHENG Kerong1(), WANG Liping1, SUN Wei2,3()   

  1. 1. School of Economics, Shandong University of Technology, Zibo 255012, China
    2. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    3. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2020-09-29 Revised:2021-02-14 Online:2021-08-25 Published:2021-10-25

摘要:

随着城市间网络联系的快速发展,城市绿色经济效率将越来越多地受到城市网络资源支配能力和合作伙伴经济绩效的影响。本文基于数据包络分析(DEA)的窗口模型测度城市绿色经济效率,并利用2019年中国上市公司500强企业网络数据构建城市网络,在此基础上研究了网络权力、知识溢出对中国城市绿色经济效率的影响。结果表明:①网络权力和建立在网络基础上的知识溢出已经成为影响中国城市绿色发展的重要因素,更高的网络资源支配能力、更高的合作伙伴经济绩效意味着更高的绿色经济效率。②网络权力和知识溢出对中国城市绿色经济效率提升具有递增的边际影响,表明多样化的中间产品和非竞争性的知识资源所带来的收益明显高于网络链接的交易成本,意味着中国城市网络嵌入对生产率的影响还处于倒U型曲线关系中收益递增的发展阶段。③网络权力和知识溢出能够显著改善核心地位城市、东部地区城市和较大规模城市的绿色经济效率,但是对边缘地位城市、中西部地区城市和较小规模城市绿色经济效率的影响不显著,这意味着中国城市绿色经济效率的发展差距在多个维度上趋于扩大。未来中国政府应加快城市网络建设,并促进资源和知识的有序流动,为城市绿色经济效率的提升提供支撑,同时高度关注网络外部影响的异质性特征,促进不同类型城市绿色经济的协调发展。

关键词: 生产分割, 网络权力, DEA窗口模型, 知识溢出, 绿色经济效率, 流动空间, 门槛效应

Abstract:

Over the past 30 years, production fragmentation of value chains has promoted the rapid development of urban networks in China. Cities in China have increasingly been transformed from production bases in the “space of places” to network nodes in the “space of flows”. In the network paradigm, the green economic efficiency of cities would be increasingly more affected by network effects, especially their power to utilize vital network resources and knowledge spillovers from network partners. In this study, data on headquarter and branch locations of the largest 500 public companies in China in 2019 were subjected to the ownership linkage model to approximate the urban network, and the total green factor productivity of cities were measured based on the data envelopment analysis (DEA) windows model, then the impacts of network power and knowledge spillovers on urban green economic efficiency were examined by using two broad types of econometric models, i.e., the panel Tobit model and Hansen threshold model. The three main findings are as follows. First, network power and knowledge spillovers through pipeline have been playing an important role in the sustainable development of urban economy. Higher dominance of network resources and higher performance of partners’ economy both induce higher green efficiency. Second, China’s urban network is in the stage of increasing returns. Network power and knowledge spillovers have both threshold effects and increasing marginal effects on urban green economic efficiency. Third, compared with cities in the periphery position, in the central and western regions and with small population size, network power and knowledge spillovers show significant positive impacts on cities in the core position, in the eastern regions and with large population size, indicating that the green efficiency gap between cities in China tends to be widened in multiple dimensions. The analysis results have clear policy implications. In the future, the Chinese government should promote the flow of resources and knowledge within urban networks to achieve higher levels of green development, and pay close attention to the heterogeneous impacts of network development and actively respond to the possibly increasing gaps in urban green economic efficiency.

Key words: production fragmentation, network power, DEA windows model, knowledge spillovers, green economic efficiency, space of flows, threshold effects