Abstract
Objective: To study 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.
Methodology: 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 multi-factors on the time axis. The experimental study also examined the spatial distribution of regional coverage in conjunction with different regional divisions in China.
Findings 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 out of the obvious regional differences.
Experimental significance The research on the sustainable development of green innovation of local enterprises needs to be combined with the actual situation in China, and the resource differences and characteristics of different regions make it necessary for local enterprises to combine with their own reality in the process of green innovation to achieve the linkage and complementarity of factors. 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.