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制造业质量提升的空间关联及传递机制研究
引用本文:周涵婷,程龙生,蒋晶,陈闻鹤,张月义. 制造业质量提升的空间关联及传递机制研究[J]. 科技进步与对策, 2021, 38(12): 50-58. DOI: 10.6049/kjjbydc.2020110833
作者姓名:周涵婷  程龙生  蒋晶  陈闻鹤  张月义
作者单位:(1.南京理工大学 经济管理学院,江苏 南京 210094;2.中国计量大学 经济与管理学院,浙江 杭州 310018)
基金项目:国家社会科学基金项目(18BJY033)
摘    要:面对区域制造业质量发展不平衡问题,运用贝叶斯插补法测度2000-2018年中国内地30个省域质量提升率,利用VAR模型和Granger检验识别省际质量提升的空间溢出关系,并在社会网络分析框架下揭示网络结构特征和溢出效应。结果表明,质量提升关联网络呈交互性和全局化发展态势,网络结构稳定、流通性较好但紧密度不高,存在局部中心化现象;贵州、内蒙古、江苏、浙江的质量整合力和对外辐射力较强,属于中心行动者和中介桥梁;质量提升关联网络可分为4个功能板块,分别隶属于经纪人板块、双向溢出板块和主受益板块,呈现出东高西低态势;质量提升的传递机制具有联动特征,东部地区是质量提升动力源,与西部、北部地区形成良性互动并发挥引领作用。

关 键 词:制造业质量提升率  空间关联性  VAR模型  社会网络分析  传递机制  
收稿时间:2020-11-30

Research on Spatial Correlation and Transmission Mechanism of Manufacturing Quality Improvement
Zhou Hanting,Cheng Longsheng,Jiang Jin,Chen Wenhe,Zhang Yueyi. Research on Spatial Correlation and Transmission Mechanism of Manufacturing Quality Improvement[J]. Science & Technology Progress and Policy, 2021, 38(12): 50-58. DOI: 10.6049/kjjbydc.2020110833
Authors:Zhou Hanting  Cheng Longsheng  Jiang Jin  Chen Wenhe  Zhang Yueyi
Affiliation:(1.School of Economics and Management, NJUST, Nanjing 210094, China;2.College of Economics and Management, China Jiliang University, Hangzhou 310018, China)
Abstract:Facing the regional imbalance of manufacturing quality development, this paper uses Bayesian imputation method to measure the quality improvement rate of 30 provinces from 2000 to 2018. On this basis, this paper constructs the VAR models, identifying the spatial spillover relationship of provincial quality improvement through Granger test. Then we could reveal the network structure characteristics and spillover effect under the framework of social network analysis. The results show that the characteristics of the whole network structure display that the quality improvement correlation network is interactive and overall development. We find that the network structure is stable and the circulation is good, but the degree of closeness is not high. And local centralization exists in the network. The characteristics of network nodes show that the provinces of Guizhou, Jiangsu and Zhejiang, and Inner Mongolia Autonomous Region, have strong quality integration and external radiation. More importantly, they play the dual roles of central actors and intermediary bridges. Block model analysis shows that quality improvement correlation network can be divided into four functional blocks. The first and third are belonged to “agent plate”, the second is “bidirectional spillover plate” and the fourth is “main beneficial plate”.The quality improvement shows the trend of high in the East, low in the West and stable in the middle. The transmission mechanism of quality improvement has linkage characteristics. The eastern region is the power source of quality improvement, which forms a positive interaction with the western and northern regions and plays a leading role.
Keywords:Manufacturing Quality Improvement Rate  Spatial Correlation  VAR Model  Social Network Analysis  Transmission Mechanism  
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