Measurement and Analysis of Digital Economy Development Index -- Take Shandong Province as an Example

DOI

10.2991/aebmr.k.220502.055How to use a DOI?

Keywords

Digital economy development index; Entropy value method; Moran index; Obstacle model

Abstract

This paper takes Shandong Province as an example to measure and analyze the digital economic development index, which is important to research the digital economic development index of agricultural development cities. Firstly, three development dimensions of quality, scale, and efficiency suitable for the development characteristics of Shandong province are selected, and the evaluation system of the digital economy development index is constructed by using the relevant data of Shandong province from 2010 to 2020. The entropy method is used to fit the digital economy development index and analyze the digital economy development index level. Secondly, the Moran index is used for spatial autocorrelation analysis to investigate the influence of geographical location on the level of digital economic development index. Finally, the obstacle degree model is introduced into the influencing factors analysis of the digital economy development index, which makes an innovative exploration for the research method of the digital economy development index. The research results show that: in terms of time, the results of entropy method show that the digital economy development index shows an increasing trend, but since 2016, the digital economy development index has fluctuated up and down under the influence of technological development and industrial layout. In space, the Moran index shows that the digital economy development index is in the state of agglomeration distribution and finds that the digital economy development index has the possibility of an “agglomeration effect.” Based on this, the paper proposes to draw the policy inspiration of improving the level of digital economy development index from the national and Shandong perspectives and promote the three-core leadership based on the characteristics and advantages of Jinan, Qingdao, and Yantai in the digital economy and smart city. We should fully play our unique geographical advantages and promote coordination, linkage, openness, and cooperation.

Copyright

© 2022 The Authors. Published by Atlantis Press International B.V.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license.

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TY  - CONF
AU  - Xu Han
PY  - 2022
DA  - 2022/05/16
TI  - Measurement and Analysis of Digital Economy Development Index -- Take Shandong Province as an Example
BT  - Proceedings of the 2022 International Conference on Urban Planning and Regional Economy（UPRE 2022）
PB  - Atlantis Press
SP  - 307
EP  - 311
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.220502.055
DO  - 10.2991/aebmr.k.220502.055
ID  - Han2022
ER  -