GEOGRAPHICAL RESEARCH ›› 2019, Vol. 38 ›› Issue (2): 259-272.

• Articles •

### Spatial-temporal characteristics of innovation output and its influencing factors of the key industries in China

Binyan WANG1(), Shijun WANG1(), Junfeng TIAN2, Feilong HAO1

1. 1. School of Geographical Sciences, Northeast Normal University, Changchun 130024, China
2. College of Earth Sciences, Jilin University, Changchun 130061, China
• Received:2017-04-25 Revised:2018-08-11 Online:2019-02-20 Published:2019-03-08

Abstract:

The innovation, development and technological progress of the ten key industries (iron and steel, automobiles, ships, petrochemicals, textiles, light industry, nonferrous metals, equipment manufacturing, electronic information and logistics) in China are highly concerned by the state and expected by the public. So the research on it is of great significance. Firstly, the Mann-Kendall method is used to divide the development stages of the ten key industries of China from 1994 to 2014, and to understand the evolution of the key industries. Secondly, this paper analyzes the innovation output difference, spatial pattern and spatial-temporal transfer characteristics of key industries in the prefecture-level cities by using the Theil index, Markov and spatial Markov chains method respectively. Finally, based on factor analysis and multiple regression model, this paper discusses the factors that influence the spatial differentiation of the innovation development of the ten key industries in China. The conclusions are drawn as follows: (1) The development of the innovation outputs of the ten key industries can be divided into two stages (the first stage is from 1995 to 2006, the second stage is from 2007 to 2014), and the result of innovation outputs of the ten key industries is in exponential growth. (2) The difference of the innovation outputs of the ten key industries increased at first and then decreased, and the inter-regional difference among the four regions (Eastern, Central, Western and Northeastern China) is less than the intra-regional difference. The development of innovation outputs of the ten key industries presents the dual characteristics of contagious and hierarchical diffusion. (3) The neighborhood environment plays an important role in the development of the ten key industries. Under different environmental constraints, the transition probability of different types of unit is different, and the higher the neighborhood environment level is, the stronger the driving force to low level units is. In the two periods, the transferred units of the innovation outputs of the ten key industries are mainly concentrated in the eastern and central regions of China. The activity of the transfer is increasing, and the transferred units are concentrated in spatial distribution. (4) The social economic and policy factors and the basic condition of higher education have obvious positive driving effect on the innovation and development of the ten key industries, while the effect of industrialization is weak. In the next period of time, the innovation and development competitiveness of the ten key industries can be improved by strengthening the investment in the foundation of higher education and intellectual capital.