A Research on the Situation and Countermeasures of the Interactive and Integrative Development of Advanced Manufacturing and Producer Service—Taking the Guangzhou City as an Example

Yang Shi-wei; Liu Yi-xin; Zhu Huai-nian; Zhang Guang-yu

doi:10.12052/gdutxb.180003

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

A Research on the Situation and Countermeasures of the Interactive and Integrative Development of Advanced Manufacturing and Producer Service—Taking the Guangzhou City as an Example

更新时间：2026-05-27

- A Research on the Situation and Countermeasures of the Interactive and Integrative Development of Advanced Manufacturing and Producer Service—Taking the Guangzhou City as an Example
- Vol. 35, Issue 5, Pages: 86-94(2018)
- 作者机构：
  
  1. 广东工业大学　管理学院
  2. 广东省决策咨询研究基地　广东工业大学创新理论与创新管理研究中心,广东,广州,510520
  3. 广东工业大学　经济与贸易学院
- 作者简介：
- 基金信息：
- DOI：10.12052/gdutxb.180003
  CLC： F299.27;F124;3
- Online First：10 July 2018，
  
  Published：2018
- 稿件说明：
移动端阅览
杨诗炜, 刘贻新, 朱怀念, 张光宇. 先进制造业与生产性服务业互融发展现状及其对策研究——以广州市为例[J]. 广东工业大学学报, 2018, 35(5): 86-94.

Yang Shi-wei, Liu Yi-xin, Zhu Huai-nian, et al. A Research on the Situation and Countermeasures of the Interactive and Integrative Development of Advanced Manufacturing and Producer Service—Taking the Guangzhou City as an Example[J]. 2018, 35(5): 86-94.
杨诗炜, 刘贻新, 朱怀念, 张光宇. 先进制造业与生产性服务业互融发展现状及其对策研究——以广州市为例[J]. 广东工业大学学报, 2018, 35(5): 86-94. DOI： 10.12052/gdutxb.180003.

Yang Shi-wei, Liu Yi-xin, Zhu Huai-nian, et al. A Research on the Situation and Countermeasures of the Interactive and Integrative Development of Advanced Manufacturing and Producer Service—Taking the Guangzhou City as an Example[J]. 2018, 35(5): 86-94. DOI： 10.12052/gdutxb.180003.

摘要

国内外制造业发展的历程和实践证明

大力促进制造业

尤其是先进制造业和生产性服务业的互融发展

是优化产业结构、助力产业转型升级、提高产业竞争力的关键性路径. 为此

本文通过向量自回归VAR模型

以广州市为例

利用“十二五”期间先进制造业与生产性服务业的相关数据

对先进制造业与生产性服务业的互融现状进行实证研究

并有针对性地提出相关的对策

以求为掌握当前广州市先进制造业与生产性服务业的互融现状提供科学依据

同时也为政府部门、行业协会提供决策参考.

Abstract

The development process and practice of domestic and foreign manufacturing industries have proved that vigorously promoting the mutual development of the manufacturing industry

especially the advanced manufacturing and producer service

is the key to optimizing the industrial structure

helping the industrial transformation and upgrading

and improving the industrial competitiveness.Therefore

the vector autoregressive VAR model is used to conduct an empirical research on Guangzhou City

with the relevant data of the advanced manufacturing and production service industries during the “12th Five-Year Plan” period

into the current situation of the interactive integration of advanced manufacturing and producer service

and the relevant and related countermeasures are proposed

in order to provide a scientific basis for grasping the current state of integration of advanced manufacturing and producer service in Guangzhou

and to provide decision-making reference for government departments and industry associations.

关键词

Keywords

references

中华人民共和国国民经济和社会发展第十三个五年规划纲要[M].北京: 人民出版社, 2016.

LAURENCE M. The role of producer services in regional development: what opportunities for medium-sized cities in Belgium? [J]. Service Industries Journal, 2005, 25(2): 213-228.

ESWARAN M, KOTWAL A. Quality-enhancing trade liberalization [J]. Journal of Development Economics, 2007, 83(2): 549-561.

MACPHERSON A. Producer service linkages and industrial innovation: results of a twelve‐year tracking study of New York State manufacturers [J]. Growth Change, 2008, 39(1): 1-23.

DANIELS P W, BRYSON J R. Manufacturing services and servicing manufacturing: knowledge-based cities and changing forms of production [J]. Urban Studies, 2014, 39(39): 977-991.

李稻葵. 关于供给侧结构性改革[J]. 理论视野, 2015(12): 16-19.

DU C Z, WANG X, LIU Z J. Can the synergy of manufacturing industry and productive service improve the competitiveness of the economic circle?—Based on the comparison between the two economic circles of Beijing Tianjin Hebei and the Yangtze River Delta [J]. Research on Industrial Economy, 2013(6): 19-28.

胡联升. 基于灰色关联度模型的生产性服务业与制造业关联性分析--以福建省为例[J]. 辽宁经济, 2014(8): 54-55.

ZHENG T, SU Z H. Empirical study on the influence of science and technology service industry on the efficiency of advanced manufacturing industry -- a case of Fujian province [J]. Journal of Harbin University of Commerce (Social Science Edition), 2015(2): 48-54.

JI Y H,GAN L J. Co-agglomeration level of China’s producer services and manufacturing industry and its influence factors [J]. Forum on Science and Technology in China, 2015(12): 64-68.

李晓慧. 流通业发展对制造业效率影响实证研究[J]. 商业时代, 2015(18): 10-11.

TAN R J, LIU Y X. Coupling efficiency between technological innovation and financial innovation in Chinese strategic emerging industries: Empirical analysis based on the data of strategic emerging Industries companies [J]. Science and Technology Management Research, 2015(24): 110-115.

LI Z Q,WU X Y. Research on the impact of industrial coordinated development on regional economy - An empirical analysis based on panel data of manufacturing and productive service industry [J]. Commercial Research, 2016, 62(4): 25-32.

LIN G X, LIU Q, ZHANG H, et al . A quick customized design approach to integrated simulation [J ] . Journal of Guangdong University of Technology, 2016, 33(4): 44-50.

张光宇, 刘贻新, 马文聪, 等. 广东创新驱动路径设计探究——基于SNM的颠覆性技术创新到产业创新[J]. 广东科技, 2015(18): 14-16.

金碚. 中国制造2025[M]. 北京: 中信出版社, 2015.

LIU Y X, LIANG X, ZHU H N, et al . Identification and classification of barriers to emerging technology industrialization based on sustainable transition (ST) theory [J ] . Journal of Guangdong University of Technology, 2018, 35(4): 1-9.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A Resource Allocation Optimization Method for Multi-UAV Integrated Sensing, Computing, and Communication Towards Disaster Relief

Energy Management Strategy of Hybrid Locomotive Based on Road Condition Parameters

Research and Implementation of a Pulsed Laser Ranging Method Based on Digital Mixing

The Cross-twin Physics-informed Neural Network for Wave Equations with Conserved Quantities

SCA-YOLO: Real-time Target Detection Based on Deformable Convolution and Context-aware Attention

Related Author

No data

Related Institution

No data

AI问答

⁰