Evaluating the driving factors of the environmental injustice caused by the spatial mismatch of ecosystem services in mega cities in China

The issue of environmental injustice has received critical attention in sustainable development. Whereas, there is still a lack of research on exploring the complexity of environmental injustice related to the spatial mismatch of ecosystem services (ES) supply–demand. Hence, we firstly built a framework consisting of 10 types of ES supply and 3 types of ES demand to evaluate the ES supply–demand ratio (ESDR) at county scale in three mega cities in China. Then we adopted spatial autocorrelation analysis and MGWR model to explore the spatial heterogeneity and driving mechanisms of the environmental injustice on ESDR. Results showed that most counties in mega cities were suffering from ES shortages clustered in the city centers. Natural and socio-economic factors including temperature, precipitation, NDVI, housing price and vulnerable group were significantly correlated with the spatial heterogeneity of ESDR. Finally, we discuss the possible intervention policies for discision-makers to mitigate server environmental injustice caused by the spatial imbalance of ESDR.