A Decomposed Data Analysis Approach to Assessing City Sustainable Development Performance: A Network DEA Model with a Slack-Based Measure

This paper deals with urban sustainable development in China. We propose a network data envelopment analysis (DEA) model slack-based measure (SBM) to analyze the eco-efficiency of 284 Chinese cities, enabling us find way open “black box” conventional DEA models and introduce social well-being factors into model, depict role local government providing public service improving well-beings. set up framework by dividing process two steps. The first stage is production system translating inputs natural resources GDP waste production, which will be second for distribution consumption realize welfare environmental protection. results show cities experienced significant decrease from 2005 2016, should mainly attributed processes. Structural differences are described regions, administrative level clusters. These compared an existing sustainability index developed McKinsey ANOVA approach conducted reveal between across regions article sheds new light on understanding construction China regarding performance government.