Spatial impacts of cold chain logistics for fresh agri-products on carbon emissions

While expanding the scale of cold chain logistics of fresh agricultural products (CCLFAP) in China, carbon emissions control must be meet. An evaluation index system is established to determine the development level of CCLFAP. To confirm the relationship between the development of CCLFAP and regional carbon emissions (RCE), bivariate global and local Moran's I are used. Further, Geographically Weighted Regression and Multi-scale Geographically Weighted Regression methods are used to determine the impact of CCLFAP on RCE. The results show that the development level of CCLFAP and RCE exhibit a significant positive correlation. The influence of the seven significant influencing factors on RCE varies significantly across space. The research presented here can help to coordinate the low-carbon transformation of CCLFAP in various regions of China and enrich the theory of sustainable development. In the meantime, it provides inspiration for other countries and regions to build low-carbon CCLFAP networks.