Decomposition Analysis of Green Technology Innovation from Green Patents in China | Zendy

Aiping Chen | Zendy; Huiying Chen | Zendy

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Decomposition Analysis of Green Technology Innovation from Green Patents in China

Author(s) -

Aiping Chen,

Huiying Chen

Publication year - 2021

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2021/6672656

Subject(s) - divisia index , china , sustainable development , investment (military) , promotion (chess) , scale (ratio) , technology innovation , index (typography) , environmental economics , natural resource economics , business , economics , industrial organization , mathematics , energy intensity , computer science , geography , ecology , statistics , political science , energy (signal processing) , cartography , archaeology , politics , world wide web , law , biology

Green technology innovation is essential to promoting not only the construction of ecological civilization but also the fundamental means of achieving sustainable development. Taking research and development (R&D) investment, CO2 emissions, and other related factors into account, this study constructed an extended logarithmic mean Divisia index (LMDI) decomposition model for the change in the number of green technology patent applications to quantify the contribution of each driving factor based on green patent applications data in China from 2000 to 2017. The results indicated that economic scale, R&D efficiency, R&D reaction, and green patent share play positive roles in promoting green patent applications in China, among which R&D efficiency is the most significant contributor. By contrast, carbon intensity plays a dampening role. The conclusions of this study could provide a theoretical foundation for China to formulate targeted green technology innovation management policies, promotion measures, and related R&D strategies.

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