Exploring the Spatial-Temporal Evolution Characteristics of Urban Eco-efficiency: A Case Study of 276 Chinese Cities

Xi Cai, Yu Zhang (), Mengxue Li, Liudan Jiao and Xiaosen Huo
Additional contact information
Xi Cai: Chongqing Jiaotong University
Yu Zhang: Chongqing Jiaotong University
Mengxue Li: Chongqing Jiaotong University
Liudan Jiao: Chongqing Jiaotong University
Xiaosen Huo: Chongqing Jiaotong University

A chapter in Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate, 2023, pp 484-500 from Springer

Abstract: Abstract With the unbalanced development of the ecological environment and economic growth, eco-efficiency (EE) has turned into a popular research topic. This paper measures the eco-efficiency values of Chinese cities using the Super-slack-based measure (Super-SBM) model with non-desired outputs. Data for the study were obtained from a sample of 276 cities in China from 2015–2019. The outcomes show that: (1) The top three performers in EE are Beijing, Ziyang, and Zhoukou, and the bottom three performers are Wuzhong, Yichun, and Tieling; (2) the amount of cities in the lowest efficiency group decreases, and the average eco-efficiency value increases slightly overall; (3) by region, the average eco-efficiency value is highest in the east, comparable in the central and western areas, and lowest in the northeast; (4) from the period, the eco-efficiency values in the eastern and western regions have not changed much since 2015–2019, but the central region has increased from 0.28 to 0.42 and the northeastern region has decreased from 0.31 to 0.24. The results of the study provide a significant reference for policymakers to consider environmental protection and economic growth in an integrated manner.

Keywords: Chinese cities; Eco-efficiency analysis; Super-SBM model (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-99-3626-7_39

Ordering information: This item can be ordered from
http://www.springer.com/9789819936267

DOI: 10.1007/978-981-99-3626-7_39

Access Statistics for this chapter

More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().