The Evolutionary Study of China’s Technology Transfer Policy Structure: A Mixed Paradigm Analysis based on Latent Dirichlet Allocation Model

Yang Zhou; Haoran Wang; Huanhuan Kong

doi:10.6981/FEM.202607_7(7).0015

Authors

Yang Zhou School of Finance and Public Administration, Anhui University of Finance and Economics, Bengbu 233030, China
Haoran Wang School of Finance and Public Administration, Anhui University of Finance and Economics, Bengbu 233030, China
Huanhuan Kong School of Finance and Public Administration, Anhui University of Finance and Economics, Bengbu 233030, China

DOI:

https://doi.org/10.6981/FEM.202607_7(7).0015

Keywords:

Technology Transfer; LDA Model; Policy Text Analysis; Evolution Trend.

Abstract

As global competition in science and technology has intensified, the commercialization of scientific and technological achievements has become an important way to promote innovation-driven and high-quality economic development. Using a corpus of 409 policy documents issued by China's central and local governments from 1991 to 2024, this study examines how policies on the commercialization of scientific and technological achievements changed over time through a mixed analytical framework. The Latent Dirichlet Allocation (LDA) topic model is used to analyze policy development from internal and external perspectives. The internal analysis focuses on the thematic structure and content of policy documents, whereas the external analysis looks at their temporal evolution, spatial distribution, and institutional sources. Together, these two dimensions trace the development path and policy logic of China's system in this area. The study further examines the structural features and changes in technology transfer policy instruments, identifies the main weaknesses in the current policy framework, and proposes targeted suggestions for improvement. In this way, the findings clarify how China's technology transfer policies have evolved and provide evidence for strengthening the policy system and improving the efficiency of commercializing scientific and technological achievements.

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