Can R&D input reduce carbon emissions intensity? Evidence from China

Abstract

Climate change caused by greenhouse gas emissions has received widespread attention in recent years. In this paper, panel data of 30 Chinese provinces from 2007 to 2019 are used as research samples to explore research and development input (RDI) on carbon emission intensity (CEI). They are using spatial measurement method, interaction effect model, and mediation effect model, this paper studies whether RDI reduces China's CEI. The empirical results illustrate a positive spatial autocorrelation between RDI and CEI. The spatial agglomeration characteristics of CEI have apparent regional differences. RDI can reduce not only the local CEI, but also the CEI of surrounding areas, and the results are robust. The market and government play an important role in RDI that affects CEI, but there are regional differences. At the same time, RDI can indirectly reduce CEI by promoting industrial upgrading, improving technological innovation, and increasing human capital.