Maturity assessment of green patent clusters: Methodological implications

Abstract

Patents are one of the most widely used tools to analyze environmental technologies. Organizations such as the World Intellectual Property Organization and OECD have developed search strategies to retrieve green patents based on their patent classification. These classifications divide patents into clusters, which are aligned with different sustainability goals. In this paper, we take advantage of this to analyze the distribution of patents across 1.221 patent classes within six clusters defined by OECD's ENV-TECH classification. We also assess the maturity stage of each patent class by fitting two commonly used S-curve models, namely logistic and Gompertz. We find that (a) most patent classes are still in a relatively early stage of the technology life cycle and (b) considerable heterogeneity exists in the distribution of patents, both within and across clusters. We discuss the methodological implications of our results and provide recommendations for scholars, drawing on green patent analyses, to conduct future work on environmental technologies. • We analyze patenting activity across 1.221 green patent classes as defined by OECD. • The distribution of patents across six clusters of green patents is highly skewed. • A quarter of the patents in the dataset correspond to only 31 patent classes. • Most green patent classes are in the early stages of their technology lifecycle. • We find no connection between number of patents and technological maturity.

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