| Issue |
E3S Web Conf.
Volume 253, 2021
2021 International Conference on Environmental and Engineering Management (EEM 2021)
|
|
|---|---|---|
| Article Number | 02003 | |
| Number of page(s) | 4 | |
| Section | Big Data Environment Management Application and Industry Research | |
| DOI | https://doi.org/10.1051/e3sconf/202125302003 | |
| Published online | 06 May 2021 | |
Regional Economic Prediction Model and Empirical Research Based on Big Data Technology
1 Business School Wuchang University of Technology Wuhan, China
2 College of Arts and Law Wuhan Donghu University Wuhan, China
a Corresponding author: Lyl_whxy@163.com
b Corresponding author: 1660104131@qq.com
In order to test the prediction effect of big data technology on regional economy, this paper uses Engle-Granger test to explore the relationship between house prices in Xiangyang City and big data represented by search index. This paper selects the house price data from April 2015 to February 2020, and uses the Baidu Index with a correlation coefficient greater than 0.5 to build a search index, so as to test it empirically. The empirical results show that big data has a strong prediction for house prices in small and medium-sized cities, and the search index constructed by the weight of correlation coefficient is better.
© The Authors, published by EDP Sciences, 2021
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