EconPapers    
Economics at your fingertips  
 

Configurational Analysis of the Driving Paths of Chinese Digital Economy Based on the Technology–Organization–Environment Framework

Shuangying Chen, Qiyue Li, Bo Lei and Na Wang

SAGE Open, 2021, vol. 11, issue 4, 21582440211054500

Abstract: The purpose of this study was to examine the combinations of factors driving the digital economy and their configurational pathways, based on the Technology–Organization–Environment (TOE) framework. Using data on 31 Chinese provinces, the study integrated the TOE framework with Fuzzy-set Qualitative Comparative Analysis (fsQCA) to examine the digital economy. The results indicate that (a) firms’ digital competence is a necessary condition for the development of the digital economy; (b) four pathways drive high levels of digital economic development and three pathways lead to low levels of digital economic development; and (c) these pathways indicate asymmetry between high and low levels of digital economic development. The findings enhance understanding of the complex interactions of multiple factors driving the digital economy. They also yield policy recommendations for the development of the digital economy.

Keywords: digital economy; driving pathways; TOE framework; configurational analysis (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/21582440211054500 (text/html)

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:sae:sagope:v:11:y:2021:i:4:p:21582440211054500

DOI: 10.1177/21582440211054500

Access Statistics for this article

More articles in SAGE Open
Bibliographic data for series maintained by SAGE Publications ().

 
Page updated 2025-03-19
Handle: RePEc:sae:sagope:v:11:y:2021:i:4:p:21582440211054500