Agglomeration externalities, industry growth and innovation effect: Based on panel data analysis of high-tech industry

Author

Liu, Si-Ao ; Wang, Jun

Author_Institution

Bus. Sch., Hohai Univ., Nanjing, China

fYear

2010

fDate

16-18 April 2010

Firstpage

98

Lastpage

101

Abstract

Based on the data of high-tech industry in China during 1998-2007, the paper calculates the level of specialization, diversity and competition of high-tech industry. From the perspective of industrial added value and patents, the paper establishes the panel data model to analyze the impact of growth and innovation of high-tech industry from its agglomeration effect. The result shows that strong positive MAR and Jocobs spillover effect exist in the agglomeration of high-tech industry, but the competitive level is weak negative related with the growth and innovation of high-tech industry.

Keywords

data analysis; industries; innovation management; patents; China; agglomeration effect; agglomeration externalities; high-tech industry; industrial added value; industry growth; innovation effect; panel data analysis; patents; Cities and towns; Data analysis; Data models; Educational institutions; Engines; Industrial economics; Least squares methods; Manufacturing industries; Power generation economics; Technological innovation; agglomeration effects; high-tech industry; panel data; patent innovation;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-5263-7

Electronic_ISBN

978-1-4244-5265-1

Type

conf

DOI

10.1109/ICIME.2010.5478263

Filename

5478263