Analysis of the Correlation between Emerging Industry Development and University Students’ Entrepreneurship Based on Big Data

With the strong support of local governments for strategic emerging industries such as high-end equipment manufacturing, new materials, and new energy, strategic emerging industries are playing an increasingly important role in the economy and society. With the increasing enthusiasm of college gradu...

Full description

Saved in:
Bibliographic Details
Main Authors: Yufeng Pan, Hui Huang
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2022/1098903
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832564872378843136
author Yufeng Pan
Hui Huang
author_facet Yufeng Pan
Hui Huang
author_sort Yufeng Pan
collection DOAJ
description With the strong support of local governments for strategic emerging industries such as high-end equipment manufacturing, new materials, and new energy, strategic emerging industries are playing an increasingly important role in the economy and society. With the increasing enthusiasm of college graduates for independent entrepreneurship, college students’ entrepreneurship is constantly integrated with the development of strategic emerging industries. Based on this background, aiming at the practical problems of the development of strategic emerging industries, this study innovatively puts forward the method of using big data technology and GM model to realize the dynamic model analysis of the development of strategic emerging industries and college students’ entrepreneurial behavior. This article analyzes the correlation between dynamic big data such as industrial scale, industrial market, and industrial direction of local strategic emerging industries and university entrepreneurship, so as to provide theoretical support for the development strategy of strategic emerging industries. Through the neural network algorithm, this article evaluates the entrepreneurship of college students, so as to provide a digital basis for the layout of strategic emerging industries to attract talents and entrepreneurship. Experiments show that the big data integration system established by GM correlation analysis and ant colony Elman regression artificial neural network has high accuracy and can well identify the priority relevance of the industrial direction of strategic emerging industries to college students’ entrepreneurship. It provides theoretical support for regional policy makers to better formulate college students’ entrepreneurship strategy and the development plan of emerging industries.
format Article
id doaj-art-24f6b3fce547409793916d794adb5da4
institution Kabale University
issn 1607-887X
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Discrete Dynamics in Nature and Society
spelling doaj-art-24f6b3fce547409793916d794adb5da42025-02-03T01:09:52ZengWileyDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/1098903Analysis of the Correlation between Emerging Industry Development and University Students’ Entrepreneurship Based on Big DataYufeng Pan0Hui Huang1Youth League CommitteeYouth League CommitteeWith the strong support of local governments for strategic emerging industries such as high-end equipment manufacturing, new materials, and new energy, strategic emerging industries are playing an increasingly important role in the economy and society. With the increasing enthusiasm of college graduates for independent entrepreneurship, college students’ entrepreneurship is constantly integrated with the development of strategic emerging industries. Based on this background, aiming at the practical problems of the development of strategic emerging industries, this study innovatively puts forward the method of using big data technology and GM model to realize the dynamic model analysis of the development of strategic emerging industries and college students’ entrepreneurial behavior. This article analyzes the correlation between dynamic big data such as industrial scale, industrial market, and industrial direction of local strategic emerging industries and university entrepreneurship, so as to provide theoretical support for the development strategy of strategic emerging industries. Through the neural network algorithm, this article evaluates the entrepreneurship of college students, so as to provide a digital basis for the layout of strategic emerging industries to attract talents and entrepreneurship. Experiments show that the big data integration system established by GM correlation analysis and ant colony Elman regression artificial neural network has high accuracy and can well identify the priority relevance of the industrial direction of strategic emerging industries to college students’ entrepreneurship. It provides theoretical support for regional policy makers to better formulate college students’ entrepreneurship strategy and the development plan of emerging industries.http://dx.doi.org/10.1155/2022/1098903
spellingShingle Yufeng Pan
Hui Huang
Analysis of the Correlation between Emerging Industry Development and University Students’ Entrepreneurship Based on Big Data
Discrete Dynamics in Nature and Society
title Analysis of the Correlation between Emerging Industry Development and University Students’ Entrepreneurship Based on Big Data
title_full Analysis of the Correlation between Emerging Industry Development and University Students’ Entrepreneurship Based on Big Data
title_fullStr Analysis of the Correlation between Emerging Industry Development and University Students’ Entrepreneurship Based on Big Data
title_full_unstemmed Analysis of the Correlation between Emerging Industry Development and University Students’ Entrepreneurship Based on Big Data
title_short Analysis of the Correlation between Emerging Industry Development and University Students’ Entrepreneurship Based on Big Data
title_sort analysis of the correlation between emerging industry development and university students entrepreneurship based on big data
url http://dx.doi.org/10.1155/2022/1098903
work_keys_str_mv AT yufengpan analysisofthecorrelationbetweenemergingindustrydevelopmentanduniversitystudentsentrepreneurshipbasedonbigdata
AT huihuang analysisofthecorrelationbetweenemergingindustrydevelopmentanduniversitystudentsentrepreneurshipbasedonbigdata