Exploring the Path of Green Innovation and High-Quality Development of Influential Regional Enterprises Based on the Analysis of the Dynamic QCA Method and MATLAB Sustainability Prediction

• Published in: Systems (Basel) Vol. 12; no. 7; p. 232
• Main Authors: Liu, Qijia, Kim, Yeong-Gil
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.07.2024
• Subjects: Analysis; Clean technology; Comparative analysis; Consumer preferences; Consumers; dynamic QCA; Economic development; Economic growth; Environmental protection; Environmental sustainability; Expenditures; factors; Foreign investment; Foreign investments; Fuzzy sets; GDP; Government spending; Green market; Green products; Green technology; Gross Domestic Product; Innovations; Local government; MATLAB; Medium term notes; Methods; Per capita; Quality of life; Regional analysis; Regional development; regional differences; Regions; Service industries; Services industry; Sustainable development; Technological change; time dimension; China
• ISSN: 2079-8954; 2079-8954
• DOI: 10.3390/systems12070232

This study examines the multifactor linkage effects behind the differences in the sustainable development of green innovation of local enterprises in the spatio-temporal dimension so as to provide an important reference for the practice of sustainable development of green innovation of local enterprises. An analytical framework for the sustainable development of green innovation of local enterprises is established, and the dynamic QCA method is applied to analyse the provincial-level panel data of China from 2012 to 2021 to explore the linkage effect of each factor on the time axis, and to explore the differences of multifactors on the time axis. The study found that different factors may have different influence effects in different contexts. Firstly, while market demand is an important influencing factor, its role relative to economic drivers and social environment factors may be relatively limited in some contexts. Second, high levels of foreign investment and demand for innovation in the service sector have a significant impact on green innovation in local firms. At the same time, with the growing consumer preference for green products, green preferences in market demand have also begun to become an important factor influencing firms’ green innovation. Meanwhile, in the spatial dimension, the provincial coverage has obvious regional differences. This requires local governments to fully consider the actual situation of the region when formulating relevant policies, and promote green innovation according to local conditions. This experiment is the first attempt to use the joint application of dynamic QCA and MATLAB for the study of green innovation in local enterprises, exploring the consistency in the longitudinal time dimension.