| Abstract |
In this study, taking the field of new energy vehicles as an example, the green patent data have been obtained from the smart bud patent database, and 243 organizations have been selected as the research samples based on their technical convergence and lack of data of their patents. From the perspective of technology convergence, five factors, including its degree of convergence, influence, knowledge maturity, experience, and originality, have been selected, and the fuzzy-set qualitative comparative analysis technology has been employed for conducting a configuration analysis. It has been found that there are three high green technological innovation paths, namely, the 'high convergence-high cognitive legitimacy' type, the 'high convergence-high influence' type, and the 'high convergence-high quality' type. In addition, five low green technological innovation paths have been obtained, which can be divided into three types, including the 'low convergence-high impact' type, the 'high convergence-low experience' type, and the 'high convergence-low quality' type. Depending on the low green technological innovation paths, the steps of configuring the specific conditions of the included samples and matching them with the most suitable upgrade path should be performed in order to achieve a quick and efficient improvement in the green technology innovation level of an enterprise. |
