Title
Using a hybrid heterogeneous DEA method to benchmark China’s sustainable urbanization: an empirical study
Abstract
Due to recent official policy changes, China’s sustainable urbanization has entered a new type of multi-target heterogeneous situation which has never been scientifically researched before. To deal with this new heterogeneous scenario, we introduce a hybrid heterogeneous data envelopment analysis method that contains input segment estimation and efficient frontier construction. We also introduce a bi-level benchmarking method that benchmarks each city’s eco-efficiency and uses those benchmarks to guide sustainable urbanization completion in an empirical study of 206 Chinese prefecture-level cities’ sustainable urbanization. Our main empirical results show that: (1) China’s urbanization is now suffering from serious unsustainability; (2) China’s sustainable urbanization is independent of urban scale; (3) resource over-consumption and pollutant over-emission are the two complementary forces that slow down China’s sustainable urbanization; (4) almost all prefecture-level cities involved in this empirical study should set “Urban–rural integration” as the urbanization development target; and (5) China’s current urbanization has a serious development target mismatch, and this target mismatch is thought to be an important indirect factor that drives China’s urbanization to a low sustainability level. Based on this empirical analysis, we recommend two urbanization policies, “Constructing a distinctive city” and “Constructing hub-and-spoke urban agglomeration”, for Chinese government consideration.
Year
DOI
Venue
2019
10.1007/s10479-018-2855-6
Annals of Operations Research
Keywords
Field
DocType
China, Sustainable urbanization, Heterogeneous, Data envelopment analysis (DEA), Empirical
Urbanization,Mathematical optimization,China,Urban agglomeration,Efficient frontier,Regional science,Data envelopment analysis,Empirical research,Mathematics,Benchmarking,Sustainability
Journal
Volume
Issue
ISSN
278
1-2
1572-9338
Citations 
PageRank 
References 
0
0.34
36
Authors
4
Name
Order
Citations
PageRank
Xiang Ji100.34
Jie Wu240936.02
Qingyuan Zhu300.34
Jiasen Sun420.76