Spatial Correlation Network Structure of Carbon Emission Efficiency of Railway Transportation in China and Its Influencing Factors

Railway carbon emissions reduction is of great significance. In this study, emission efficiency in railway transportation China’s 31 provinces measured for 2006–2019 based on an unexpected output slack-based measure (SBM) model. A gravity matrix the spatial correlation network constructed using modified model, structure explored social analysis, and factors influencing are analyzed quadratic assignment procedure (QAP) Based results, several conclusions can be drawn: (1) China increased periodically during study period, but there still differences between regions. (2) The shows significant characteristics networks. (3) inter-provincial associations gradually increased, while large regional network. (4) Differences adjacency, economic development scientific technological advancement have positive impacts This research will help policy makers formulate relevant policies to promote coordinated low-carbon transportation.