Measurement And Spatial Distribution Study Of Knowledge Spillover In Cleaner Automobiles In China

Clean automobiles in China are at the initial stage.Knowledge spillover can promote technological progress and reduce R&D costs.This paper studies the temporal and spatial relationship of knowledge spillover from 2005 to 2014.The method of fuzzy comprehensive measure is used to measure knowledge spillover,According to the measure value,the spatiotemporal evolution map of knowledge spillover is analyzed.The global spatiality was tested by the Merlin index,and the local aggregation was analyzed by LISA aggregation map.The results show that the field of clean energy vehicles in China is mainly divided into stable low position type and fluctuating rising type in time dimension.Knowledge spillovers in the field of clean energy automobiles in China are positively correlated in space,with locally high and low aggregation patterns.The knowledge spillovers of Beijing,Shanghai,Chongqing and Guangdong provinces are relatively high.The main spillovers are intra-provincial spillovers and interactive spillovers,and geographically spillovers to adjacent provinces.The knowledge spillovers of clean energy vehicles in China are characterized by mutual spillovers between developed provinces and those of neighboring provinces.