Author(s)

Guangyuan Zhang ¹, Min Wang ²

Affiliation(s)

¹ School of Business, Xi'an University of Foreign Studies, Xi'an, Shaanxi, 710128, China
² Humanities and Social Sciences Research Center, Xi'an University of Foreign Studies, Xi'an, Shaanxi, 710128, China

Corresponding Author

Guangyuan Zhang

ABSTRACT

This paper establishes the measurement as well as spatial analysis system about science and technology innovation in Shaanxi Province by constructing three levels of science and technology innovation input, science and technology innovation transformation and science and technology innovation environment, collecting relevant data from 2012-2018, and using autocorrelation analysis for local spatial correlation analysis to get that the regions with more developed level of science and technology innovation development in Shaanxi Province are mainly concentrated in the central as well as northern regions, and The development of Xi'an city has influenced the development of neighboring cities to a certain extent, and the level of technological innovation develops more rapidly, but its neighboring cities develop slightly slowly, and this phenomenon has a certain negative impact on the development of scientific and technological innovation in Shaanxi province. Finally, the results of the comprehensive analysis are presented and relevant suggestions are made.

KEYWORDS

Science and technology innovation, spatial autocorrelation, Shaanxi Province

CITE THIS PAPER

Guangyuan Zhang, Min Wang, The Measurement and Spatial Analysis of Shaanxi Province's Technological Innovation. Industrial Engineering and Innovation Management (2021) 4: 29-32. DOI: http://dx.doi.org/10.23977/ieim.2021.040305.

REFERENCES

[1] Zhang Youzhi, Qiao Yuhe. Study on the impact effect of innovation drive on economic growth in Shaanxi [J]. Journal of Xi'an University of Petroleum (Social Science Edition), 2020, 29(01): 24-30.
[2] Zhang ZZ, Yu JiaWei, Du Tian. Measuring the efficiency of scientific and technological innovation resource allocation and path optimization--Shanxi Province as an example [J]. Journal of Statistics, 2020, 1(05): 69-80.

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