Open AccessMonitoring Indicator System for Digital Transformation and Statistical Research of Sectors in China
Author(s) -
Jun Li,
Jian Zhou,
Chen Jie,
Keqin Dou,
Junjiang Qiu
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/440/3/032075
Subject(s) - digital transformation , china , transformation (genetics) , business , key (lock) , value (mathematics) , sustainable development , construct (python library) , environmental economics , computer science , economics , geography , computer security , political science , biochemistry , chemistry , archaeology , world wide web , gene , machine learning , law , programming language
At present, promoting digital transformation of sectors has become the worldwide common choice to drive sectors’ innovative development and realize sustainable economic growth. In this thesis, we firstly construct an indicator system for monitoring digital transformation of sectors which consists of five key aspects and fifteen key indicators. Then, we collect and make statistical analysis of digital transformation assessment data from 75137 enterprises in China, get an overview of China’s digital transformation of sectors, and conduct quantitative monitoring and overall analysis for process and effects of China’s transformation and upgrading of sectors. Finally, we prospect and predict the future trend of China’s digital transformation of sectors, and analyze digital transformation’s promoting effect on sectors’ value creation and benefit improvement based on data from enterprises’ market value and economic benefits.