Regional Economic Analysis Based on Big Data
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DOI: 10.38007/Proceedings.0001304
Corresponding Author
Gaofeng Dai
Abstract
The development of information technology changes the way of regional economics research and brings opportunities and challenges to regional economics research. This paper adopts data analysis method, literature research method, data analysis and other analysis methods, and takes the regional innovation capacity report 2019 issued by the national bureau of statistics as the entry point to analyze the current regional economic situation in China. On this basis, combined with the characteristics of the era of big data, the future regional economic research recommendations. According to the research results of this paper, the comprehensive evaluation scores of the top three regional innovation capabilities in 2019 are 59.49, 53.22 and 79.58, indicating that China's regional economy is still not coordinated with regional innovation, and promoting the coordinated development of regional economies is the top priority. The combination of regional economics and big data provides new opportunities for China's economic development. This paper aims to explore the research and innovation direction of regional economics from information asymmetry to data asymmetry, and put forward feasible Suggestions in theoretical and academic aspects and practical applications, so as to promote the coordinated development of China's regional economy.
Keywords
Big Data; Regional Economics; Big Data Economics