Author(s)

Juan Zhang ¹

Affiliation(s)

¹ School of Information Management and Engineering, Neusoft Institute Guangdong, University Town, Shishan, Foshan, China

Corresponding Author

Juan Zhang

ABSTRACT

This study focuses on 21 cities in Guangdong Province and uses Fuzzy Set Qualitative Comparative Analysis (fsQCA) to explore the intricacies of the digital economy's development path in the region. Through configurational analysis, five distinct configurations emerge: economic foundation-driven, higher education level-marketization-led, poor economic foundation-development potential-constrained, lack of core elements of foundation and potential, and impediment of marketization level. The findings highlight the significant impact of economic development, higher education, and marketization levels on digital economy evolution, with nuanced effects contingent on specific city attributes. The study recommends customized policy support based on individual city strengths, advocating for enhanced collaboration to advance the digital economy comprehensively. These insights not only provide valuable policy guidance for formulating urban digital economy strategies but also present a new empirical approach for configurational analysis using the innovative fsQCA method. This contributes to improving both theoretical frameworks and methodological approaches in digital economy research. The implications extend beyond Guangdong Province, offering a benchmark for regions navigating the complex landscape of digital economic development. 

KEYWORDS

Digital Economy, Economic Development Level, Higher Education Level, Marketization Level, fsQCA

CITE THIS PAPER

Juan Zhang, Research on the Development Path of Digital Economy in Guangdong Province—Based on Fuzzy Set Qualitative Comparative Analysis. Financial Engineering and Risk Management (2024) Vol. 7: 23-31. DOI: http://dx.doi.org/10.23977/ferm.2024.070105.

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