Study on the Innovation-Driven Effect of Digital Economy on Real Economy—A Theoretical and Empirical Analysis from an R&D Perspective

Guoteng Xu, Jingtong Shan, Chengjiang Li (), Xia Chen and Na Zhou
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Guoteng Xu: State Key Laboratory of Public Big Data, Guizhou University, Guiyang 550025, China
Jingtong Shan: College of Social Sciences and Humanities, Northeastern University, Boston, MA 02115, USA
Chengjiang Li: State Key Laboratory of Public Big Data, Guizhou University, Guiyang 550025, China
Xia Chen: School of Modern Post (School of Automation), Beijing University of Posts and Telecommunications, Beijing 100876, China
Na Zhou: School of Public Administration, China University of Geosciences, Wuhan 430074, China

Sustainability, 2023, vol. 15, issue 21, 1-18

Abstract: The rising integration of China’s digital economy with its real economy is propelling the global economy toward a new stage of system reconstruction, profoundly affecting the economic and social development, national governance, and lives of various countries. Formulating and implementing a development strategy for the digital economy is crucial for China. However, there is a lack of research on the innovation-driven relationship between the digital economy and the real economy using authoritative statistics. This paper addresses this gap by adopting Romer’s R&D model and theories from other scholars, thereby constructing an innovation-driven analysis model. Leveraging over 10,000 authoritative statistics and econometric regression, it quantitatively assesses the innovation-driven effect of China’s digital economy on the real economy at both national and regional levels. The study concludes with empirical-based development suggestions to promote the profound integration and innovation within China’s digital and real economies, thereby offering an objective and valuable reference.

Keywords: R&D growth model; innovation-driven index; learning-by-doing; knowledge spillover (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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