EconPapers    
Economics at your fingertips  
 

How does the digital economy improve high-quality energy development? The case of China

Jianda Wang, Bo Wang, Kangyin Dong () and Xiucheng Dong

Technological Forecasting and Social Change, 2022, vol. 184, issue C

Abstract: High-quality energy development (HED) is conducive to achieving a win-win situation for economic development and carbon emission reduction in the context of the current “carbon neutrality” constraints in China, and the digital economy will likely accelerate the achievement of its goals. To verify the above hypothesis, based on China's provincial panel dataset from 2007 to 2017, this paper uses a dynamic panel model to estimate the nexus between the digital economy and HED and further explores their heterogeneous influence. The main results indicate that: (1) the digital economy positively affects HED in China; in other words, a 1 % increase in the digital economy index will boost HED by an average of 0.191 %; (2) the results of heterogeneity show that the influence of the digital economy on HED is stronger in regions with higher digital economy indexes and higher HED indexes; and (3) the digital economy positively affects HED through the innovation and application sub-indicator and the economic growth and jobs sub-indicator. We also provide policy implications for governments and scholars in related fields for reference.

Keywords: High-quality energy development (HED); Digital economy; Heterogeneity; Mechanism impact; China (search for similar items in EconPapers)
JEL-codes: C23 L86 Q43 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (33)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162522004814
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:184:y:2022:i:c:s0040162522004814

DOI: 10.1016/j.techfore.2022.121960

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-23
Handle: RePEc:eee:tefoso:v:184:y:2022:i:c:s0040162522004814