Abstract
In recent years, due to the development of spatial econometrics, to study the innovation agglomeration with the view of space angle is attracting more attention. Based on 31 provinces in mainland China in 2004-2013 of the patent grant data using spatial econometric knowledge to analyze spatial agglomeration of innovation output, the results showed that: The innovation output is imbalance, the eastern coastal region innovation level is far greater than the Midwest, and the polarization phenomenon aggravates gradually; from the Moran’s I index, innovation output is positive related in the space, and the geographical agglomeration phenomenon is not a random distribution, but there are specific rules; Durbin model shows that the area around the region has a significant impact on innovation output, and further calculates the strength of the influence of space effect. At last, this paper puts forward policy suggestions to improve innovation ability and make the balanced development of regional innovation.
Highlights
The concept of “innovation” is originated in “Introduction to Economic Development” published by the American economist Schumpeter in 1912
GDP and research and experimental development (R&D) personnel investment is significant in the 1% significance level, and other conditions remaining unchanged, when the growth of GDP is 1%, innovation output increases 0.752%
Economic geographers believe that geographical relevant statistics have space-dependent characteristics in spatial distribution, that is, the value of a property in an area is affected by the surrounding area, which mainly dues to first geography law: in geographic space adjacent phenomenon is more similar than the distant phenomenon [15]
Summary
The concept of “innovation” is originated in “Introduction to Economic Development” published by the American economist Schumpeter in 1912. (2016) Research on the Spatial Distribution and Its Influencing Factors of China Provincial Innovation Output. This paper uses the spatial econometric methods to further study the innovative space distribution and its influencing factors. Innovation output gathered in a particular region of spatial distribution. This is called spatial dependence or spatial correlation. This paper uses innovation output as the measuring indicators of innovation capability to describe and analyze spatial distribution characteristics of innovation. The paper uses spatial econometric model to introduce the spatial concept to analyze the factors affecting the ability to innovate, in order to improve the ability to innovate and put forward policy recommendations for the regional innovation and balanced development
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