Abstract

Sustainable development has been the major focus of every nation. This study investigates the adoption of the Patent-Trademark strategy in achieving sustainable development goals on clean energy use and climate change mitigation, SDG 7 and 13 in China. Autoregressive Distributed Lag Model (ARDL) approach to Cointegration, Multiple Linear Regression (MLR), and Granger Causality were employed to this effect. Three models were developed: the benchmark model, the second model, which examined the impact of the trademarks, and the third model, which is the PTR (Patent-Trademark) strategy, which examined the interaction term between patents and trademarks. Results revealed that the PTR strategy addresses clean energy use and climate change mitigation. The Granger Causality test also showed a uni-directional relationship from trademark to CO2 emissions, CO2 emissions to patent and trademark to patent. A feedback effect was found between trademarks and patents. Findings suggest that in achieving China’s Sustainable Development Goals (SDG 7 and 13) while filing for patents, the government should support private and public sectors with the Green Climate Fund (GCF) to register for trademarks.

KEYWORDS

Patent, Trademark, Economic Growth, Sustainable Development Goals