Research on the evolution and driving factors of digitalization of energy in China-A new perspective based on coupling coordination.
Heliyon
; 9(3): e14138, 2023 Mar.
Article
em En
| MEDLINE
| ID: mdl-36923832
ABSTRACT
The world is experiencing the tide of digital transformation. Promoting the digitalization of energy is an important measure to realize energy sustainability. The digitalization of energy is a product of the coupled and coordinated development of the energy industry and the digital economy. This paper takes 30 provinces in China from 2011 to 2020 as research objects. The Entropy Weight Method is used to measure the development level of China's energy industry and digital economy, and the Coupling Coordination Degree Model is used to measure the digitalization of energy (DE). Then, the evolution characteristics and driving factors of China's DE are studied by using Grey Prediction Model, Kernel Density Analysis Method and Geodetector Model. The conclusions are mainly as follows (1) Though the development level of energy industry and digital economy in China are both growing over time, there are distinct features in their spatial distribution. (2) The DE is in a disorderly state as a whole, but it will be upgraded to the stage of barely coordinated during China's 14th Five-Year Plan period (2021-2025). From the evolutionary process, the distribution pattern and trend changes of DE are characterized by obvious polarization distribution and increasing absolute differences, and this feature is more obvious in the central and western regions. (3) Government support, FDI, and pollution governance have an increasing impact on DE, but this impact varies considerably between the east and central-west regions. Therefore, this paper suggests that local governments should formulate policies to promote the DE according to local conditions. The central government should focus on accelerating the construction of the "East Digital West Computing" project and the development of the energy Internet to solve the problem of uneven regional development.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Prognostic_studies
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article