[1]徐 莉,李 文,严泽浩.高等教育、技术创新与产业升级耦合协同效应——以长江经济带为例[J].江西师范大学学报(哲学社会科学版),2018,(01):124-132.
 XU Li,LI Wen,YAN Zehao.The Coupling Synergistic Effect of Higher Education,Technological Innovation and Industrial Upgrading——Taking the Panel Data of Yangtze River Economic Zone as an Example[J].,2018,(01):124-132.
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高等教育、技术创新与产业升级耦合协同效应——以长江经济带为例()
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《江西师范大学学报》(哲学社会科学版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2018年01期
页码:
124-132
栏目:
经济学
出版日期:
2018-02-20

文章信息/Info

Title:
The Coupling Synergistic Effect of Higher Education,Technological Innovation and Industrial Upgrading——Taking the Panel Data of Yangtze River Economic Zone as an Example
文章编号:
1000-579(2018)01-0124-09
作者:
徐 莉1 李 文2 严泽浩3
1.江西师范大学 商学院,江西 南昌 330022; 2.上海财经大学 经济学院,上海 200433; 3.南昌大学 前湖学院,江西 南昌 330031
Author(s):
XU Li1 LI Wen2 YAN Zehao3
1.School of Business,Jiangxi Normal University,Nanchang,Jiangxi 330022; 2.School of Economics,Shanghai University of Finance and Economics,Shanghai 200433; 3.School of Qianhu,Nanchang University,Nanchang,Jiangxi 330031,China
关键词:
高等教育 技术创新 产业升级 耦合度模型 PVAR模型
Keywords:
higher education technological innovation industrial upgrading coupling model PVAR model
分类号:
F207; G640
文献标志码:
A
摘要:
在新常态经济背景下长江经济带智力共建、技术创新和产业升级相融合的发展范式已经成为区域发展的关键问题。收集2000-2014年长江经济带11省(市)面板数据,建立CDM-PVAR模型探究系统时空演变规律和协同发展效应。研究表明:三者在时间上总体耦合协调度呈现“波动”上升趋势,上游和中游地区耦合协调水平始终低于下游地区,各省市协调度的走势与总体呈现相似性; 在空间上耦合协调度呈现由东至西依次递减的格局; 此外,高等教育和产业升级存在自我反馈增长机制,高等教育对区域经济发展产生强辐射效应,但还需激发技术创新与产业升级的区域带动潜力,推动三者协调发展。
Abstract:
The integrated development paradigm of intelligence integration,technology innovation and industrial upgrading in the Yangtze River Economic Zone has become the key problem of regional development in the context of the new normal economy.Firstly,we collected the panel data of 11 provinces(municipalities)in the Zone in 2000-2014.Then the CDM-PVAR model is established to explore the temporal and spatial evolution and the synergetic development effect of the three systems.The research results shows that the interaction and coupling of three systems presents the rising trend of fluctuation in the time.The level of the interaction and coupling in the upstream and midstream areas is always lower than that in the downstream areas.The trend of the coordination degree of provinces and cities shows similarity on the whole; the level of the interaction and coupling is sequentially decreasing from east to west in the space; In addition,there is a self-feedback growth mechanism in higher education and the industrial upgrading.Higher education has a strong radiation effect on the regional economic development,but the regional driving potential of the technological innovation and the industrial upgrading need to be stimulated,in this way,the coordinated development of the three can be promoted.

参考文献/References:

[1]佚 名.长江经济带创新驱动产业转型升级[J].中国税务,2016,(4).
[2]仲伟俊,梅姝娥,谢园园.产学研合作技术创新模式分析[J].中国软科学,2009,(8).
[3]许霆.论校企协同的机制创新[J].教育发展研究,2012,(17).
[4]李梅芳,王 俊,王彦彪,等.大学-产业-政府三螺旋体系与区域创业——关联及区域差异[J].科学学研究,2016,(8).
[5]权晓虹,沈体雁.区域创新的教育因素分析与政策含义[J].中国软科学,1999,(11).
[6]Jaeger A,Kopper J.Third mission potential in higher education:measuring the regional focus of different types of HEIs[J].Review of Regional Research,2014,(2).
[7]Zubielqui G C D,Jones J,Seet P S,et al.Knowledge transfer between actors in the innovation system:a study of higher education institutions(HEIS)and SMES[J].Journal of Business & Industrial Marketing,2015,(3/4).
[8]Kim C S,Hong M K.Education Policy and Industrial Development:The Cases of Korea and Mexico[J].Journal of International & Area Studies,2010,(2).
[9]齐亚伟,陶长琪.环境约束下要素集聚对区域创新能力的影响——基于GWR模型的实证分析[J].科研管理,2014,(9).
[10]史 烽,陈石斌,蔡 翔,车夏辉.距离视角下的大学—企业协同创新地区差异分析[J].经济问题,2016,(9).
[11]Lahorgue M.A.,Cunha N.Introduction of Innovations in the Industrial Structure of a Developing Region:The Case of the Porto Alegre Technopole Home Brokers Project[J].International Journal of Technology Management & Sustainable Development,2004,(2).
[12]刘启华,樊 飞,戈海军,等.技术科学发展与产业结构变迁相关性统计研究[J].科学学研究,2005,(2).
[13]吴丰华,刘瑞明.产业升级与自主创新能力构建——基于中国省际面板数据的实证研究[J].中国工业经济,2013,(5).
[14]Coad A,Rao R.Innovation and firm growth in high-tech sectors:A quantile regression approach[J].Research Policy,2008,(4).
[15]Bogliacino F,Piva M,Vivarelli M.R&D and employment:An application of the LSDVC estimator using European microdata[J].Economics Letters,2012,(1).
[16]Anselin L,Varga A,Acs Z.Local Geographic Spillovers between University Research and High Technology Innovations☆[J].Journal of Urban Economics,1997,(3).
[17]Kirchhoff B A,Newbert S L,Hasan I,et al.The Influence of University R & D Expenditures on New Business Formations and Employment Growth[M].2007.
[18]Basant R,Mukhopadhyay P.An Arrested Virtuous Circle? Higher Education And High-Tech Industries In India[J].Iima Working Papers,2009.
[19]罗斯托.经济成长的阶段[M].上海:商务印书馆,1962.
[20]干春晖,郑若谷.改革开放以来产业结构演进与生产率增长研究——对中国1978~2007年“结构红利假说”的检验[J].中国工业经济,2009,(2).
[21]何 颖,齐亚伟,徐志琴.电子信息产业与交通运输业耦合发展的实证测度研究[J].管理世界,2015,(10).
[22]王 玺,何 帅.结构性减税政策对居民消费的影响——基于PVAR模型的分析[J].中国软科学,2016,(3).

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备注/Memo

备注/Memo:
收稿日期:2017-04-10
基金项目:国家级大学生创新创业训练计划项目(编号:201710403059)
作者简介:徐 莉(1969-),女,江西南昌人,江西师范大学教授、硕士生导师。研究方向为创新创业管理和财务管理。
李 文(1996-),女,黑龙江佳木斯人,上海财经大学经济学院硕士生。研究方向为区域经济。
更新日期/Last Update: 2018-02-20