Research on the Index System of Cities’ Digital Economy Development Level in the Yellow River Basin

Jie Ren, Yifan Lv

2022

Abstract

By constructing the index system of urban digital economy development, using entropy-TOPSIS method, and combining China Urban Digital Economy Index and China City Statistical Yearbook from 2020 to 2021, this paper makes index construction and empirical analysis of 22 key cities in the Yellow River Basin, and compares and analyzes with the national development from data information infrastructure, digital government and digital society, digital economy and digital industry. The results of the study show that the overall scores of cities in the Yellow River Basin are higher than the national average in digital information base, digital policy planning, government service digitalization and industrial digitalization. However, in terms of data foundation, government governance digitalization and digital industrialization, it is lower than the national average, indicating that the growth rate of digital economy in the Yellow River Basin is good, but the development is uneven. The overall level of digital economy development is evaluated by entropy-TOPSIS method and the results show that ten cities are star-level, five mediocre-level and seven backward-level. Thus, it is necessary to promote the balanced and high-quality development of the region through adjustment of economic policies in the Yellow River Basin.

Download


Paper Citation


in Harvard Style

Ren J. and Lv Y. (2022). Research on the Index System of Cities’ Digital Economy Development Level in the Yellow River Basin. In Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM, ISBN 978-989-758-593-7, pages 432-440. DOI: 10.5220/0011183400003440


in Bibtex Style

@conference{bdedm22,
author={Jie Ren and Yifan Lv},
title={Research on the Index System of Cities’ Digital Economy Development Level in the Yellow River Basin},
booktitle={Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,},
year={2022},
pages={432-440},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011183400003440},
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 Index System of Cities’ Digital Economy Development Level in the Yellow River Basin
SN - 978-989-758-593-7
AU - Ren J.
AU - Lv Y.
PY - 2022
SP - 432
EP - 440
DO - 10.5220/0011183400003440