Environmental Efficiency Evaluation of Construction Waste Generation Based on Data Envelopment Analysis and Malmquist Index

Xia Liu, Zezhou Wu*, Peiying Xie, Qing Hong, Xi Hu, Maxwell Fordjour Antwi-Afari

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The rapid development of urbanization in China in recent years has resulted in the production of large amounts of construction waste, which has placed certain constraints on the sustainable development of the construction industry. This study measures the environmental efficiency of construction waste generated in China from static and dynamic perspectives using the data envelopment analysis and the Malmquist index with data from 30 Chinese provinces during the period from 2011 to 2020. The results showed that, from a static perspective, the environmental efficiency of China’s construction waste generation has been on a generally declining trend year by year, and the overall level is still not too high. At the regional level, there is a stepwise decline in the eastern, central, northeastern, and western regions. From a dynamic point of view, the overall Malmquist index in China has an average value of 1.016, indicating that the level of environmental efficiency of construction waste generation in China is in a state of improvement. From a regional perspective, the Malmquist index is highest in the east, indicating that the level of environmental efficiency of construction waste generation in the eastern region is developing well.
Original languageEnglish
Article number1189
Number of pages12
JournalBuildings
Volume12
Issue number8
Early online date8 Aug 2022
DOIs
Publication statusPublished - 8 Aug 2022

Bibliographical note

© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Funding Information:
This research was funded by the Humanities and Social Sciences Grant, Chongqing Education Commission, grant number 20SKGH331; the Social Science Foundation of Chongqing Vocational Institute of Engineering, grant number RWA202123; the National Natural Science Foundation of China, grant number 72001148; and the Guangdong Basic and Applied Basic Research Foundation, grant number 2019A1515110247.

Keywords

  • construction waste
  • environmental efficiency
  • resilience
  • data envelopment analysis
  • Malmquist index

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