Research on the Development Level of Big Data Industry and Its Contribution to the Economy in China’s Provinces

Sen Li, Sen Li, Hongyuan Liang, Yu Yan, Haiying He

2022

Abstract

Based on the endogenous growth theory of economics, this paper puts forward that labor, capital and technology are the main driving forces to promote economic development.As the symbolic industry of the fourth technological revolution, big data has been integrated into every corner of the society and become the core technology element to promote regional economic development. This paper uses judgment matrix and other methods to calculate the development level of big data in each province. In order to study the contribution of big data industry to regional economy, this paper constructs a multiple regression model, taking the regional economic development level as the explained variable, the big data development level as the core explanatory variable, and labor and capital investment as the control variable. It is found that the big data industry has become an important force to promote regional economic development. At the same time, there is heterogeneity in the promotion efficiency of various regions. On this basis, it puts forward some suggestions on how to accelerate the development of big data industry and promote the coordinated development of China’s provincial economy strategies and suggestions.

Paper Citation

in Harvard Style

Li S., Liang H., Yan Y. and He H. (2022). Research on the Development Level of Big Data Industry and Its Contribution to the Economy in China’s Provinces. In Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM, ISBN 978-989-758-593-7, pages 377-382. DOI: 10.5220/0011179200003440

in Bibtex Style

@conference{bdedm22,
author={Sen Li and Hongyuan Liang and Yu Yan and Haiying He},
title={Research on the Development Level of Big Data Industry and Its Contribution to the Economy in China’s Provinces},
booktitle={Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,},
year={2022},
pages={377-382},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011179200003440},
isbn={978-989-758-593-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,
TI - Research on the Development Level of Big Data Industry and Its Contribution to the Economy in China’s Provinces
SN - 978-989-758-593-7
AU - Li S.
AU - Liang H.
AU - Yan Y.
AU - He H.
PY - 2022
SP - 377
EP - 382
DO - 10.5220/0011179200003440