Temporal–spatial characteristics of urban land use efficiency of China’s 35mega cities based on DEA: Decomposing technology and scale efficiency
By Xinhua Zhu, Yan Li, Peifeng Zhang, Yigang Wei, Xuyang Zheng, Lingling Xie. Land Use Policy, 2019
138 citations recorded by the source corpus.
Abstract This study aims to measure the comprehensive, pure technical, and scale efficiencies of urban land use of China’s 35 mega cities from 2008 to 2015 and reveal their temporal and spatial characteristics of urban land use efficiency (ULUE) using a super efficiency slack-based measure (SBM) model. Results show that 1) the ULUE level of China’s 35 mega cities is relatively low, and the pure technical efficiency is a major influencing factor of the comprehensive efficiency. 2) From a temporal perspective, the comprehensive, pure technical, and scale efficiencies of the 35 mega cities all show a trend of slow growth; the average annual growth rates of these efficiencies are 1.07%, 0.24%, and 1.16%. 3) From a spatial perspective, the ULUE levels are quite different and show certain regional patterns. 4) The distribution of scale efficiency of urban land use in China is becoming increasingly dispersed from 2008 to 2015, whereas the distribution of pure technical efficiency is becoming increasingly concentrated in the same period. Estimations on pure technical and scale efficiencies are important to investigate the deep-rooted causes of land use inefficiency for filling an important knowledge gap in ULUE studies.
Subfields: Economics and Econometrics, Global and Planetary Change, Transportation
View Paper: https://www.semanticscholar.org/paper/d9619f249799ea640b2513ce79a4316ce583ce6e
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Citations in the corpus
- Urbanization and urban land use efficiency: Evidence from regional and Addis Ababa satellite cities, Ethiopia (2021, methodology): “Some researchers used Data Envelopment Analysis (DEA) (Danni, 2019; Huang & Xue, 2019; Xing & Sun, 2013; Zhu et al., 2019).”