Operations Research and Management Science ›› 2021, Vol. 30 ›› Issue (1): 107-113.DOI: 10.12005/orms.2021.0016

• Application Research • Previous Articles     Next Articles

Research on the Spatial Spillover Effect of Total Factor Productivity in China's Light Industry: Analysis Based on Spatial Measurement and Social Network

YAN Xin1, ZHU Fu-yun2   

  1. 1. Business School, Nankai University, Tianjin 300071, China;
    2. College of Economics and Management, Shaanxi University of Science &Technology, Xi'an 710021, China
  • Received:2019-11-01 Online:2021-01-25

中国轻工业全要素生产率的空间溢出效应研究——基于空间计量与社会网络分析

闫鑫1, 祝福云2   

  1. 1.南开大学 商学院,天津 300071;
    2.陕西科技大学 经济与管理学院,陕西 西安 710021
  • 作者简介:闫鑫(1991-),男,河北邯郸人,博士研究生,研究方向:技术经济及管理;祝福云(1978-),女,满族,河北承德人,副教授,博士,研究方向:技术经济及管理、贸易理论与政策。
  • 基金资助:
    国家自然科学基金资助项目 (71672095); 陕西省教育厅重点科学研究计划项目(18JZ011)

Abstract: Based on the data of China's light industry province total factor productivity by Malmquist index model, we use spatial measurement methods and social network analysis methods to explore the spatial correlation characteristics and spatial spillover effects of China's light industry total factor productivity, from a global and regional perspective to examine light industry in the region coordinated development. The study finds that the growth of total factor productivity of regional light industry is spatially related. Light industry is closely connected in various regions. Its network structure is strong, with high permeability, good stability and asymmetric accessibility. Light industry can be divided into four functional blocks, net spillover, main spillover, main beneficiary, and net beneficiary, which present an obvious feature of “ladder spillover”.

Key words: total factor productivity, spatial spillover effects, spatial measurement method, social network analysis

摘要: 基于Malmquist指数方法测算的中国轻工业全要素生产率的省域数据,运用空间计量方法和社会网络分析方法探讨轻工业全要素生产率的空间关联特征和空间溢出效应,从整体和区域的视角审视轻工业在区域间的协调发展。研究发现,区域轻工业全要素生产率的增长具有空间关联性,各地区轻工业联系紧密,其网络结构的整体性强,通透性高,稳定性好,且具有非对称可达性;轻工业的空间关联网络可划分为四个功能板块——主溢出板块、净溢出板块、经纪人板块和主受益板块,各个板块呈现明显的“阶梯型”溢出特征。

关键词: 全要素生产率, 空间溢出效应, 空间计量方法, 社会网络分析

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