Title | ||
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Using a hybrid heterogeneous DEA method to benchmark China’s sustainable urbanization: an empirical study |
Abstract | ||
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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 |
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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 Ji | 1 | 0 | 0.34 |
Jie Wu | 2 | 409 | 36.02 |
Qingyuan Zhu | 3 | 0 | 0.34 |
Jiasen Sun | 4 | 2 | 0.76 |