Work

The dynamic impact of industrial cluster life cycle on regional innovation capacity

Year: 2015

Type: article

Abstract: We discuss the dynamic impact of industrial cluster on regional innovation capacity from the view of life cycle. To identify an industrial cluster, we propose the location quotient composite indexes with technological innovation as the major consideration. Meanwhile, the entire life cycle evolution of industrial clusters is divided into emerging, growth, maturity and decline stages with the graphical index theory and the agglomeration degree measurement. Referring to Cobb-Douglas production function model and conduction process of ‘industrial cluster, innovation network, regional innovation’, we develop a mathematical model to measure the dynamic impact. The model is quantitatively verified using the general equipment manufacturing industrial cluster of Yangtze River Delta area as empirical study and is deemed to have been validated.

Source: Economic Research-Ekonomska Istraživanja

DOI: 10.1080/1331677x.2015.1084475

Authors: Xiaohui Jia, Minghui Jiang, Tao Ma

Institution: Harbin Institute of Technology

Language: English

Topic: Regional Development and Innovation

Subfield: Development

Field: Social Sciences

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Decent work and economic growth

Open Access status: gold

Estimated APC paid: $944