Assessing green production efficiency and spatial characteristics of China’s real estate industry based on the undesirable super-SBM model
Bo-Wen An, Pei-Yuan Xu, Chun-Yu Li, Lan-Yue Zhang, Qiu-Ping Guo

TL;DR
This paper evaluates green production efficiency in China's real estate industry from 2001 to 2020, finding a U-shaped trend and regional disparities.
Contribution
The study introduces a novel application of the undesirable super-SBM model and spatial analysis to assess green production efficiency in China’s real estate sector.
Findings
Green production efficiency (GPE) showed a U-shaped trend, reaching a maximum of 0.747 in 2020.
The Theil index increased from 0.043 to 0.121, indicating growing regional inequality in GPE.
Spatial spillover effects and club convergence were observed, alongside polarization in local areas.
Abstract
As China strives to balance rapid urbanization with environmental conservation, increasing attention is being paid to the pursuit of green production efficiency (GPE) in the real estate industry. The undesirable super-SBM model was used to calculate the GPE of China's real estate industry from 2001 to 2020. Additionally, GPE spatial distribution characteristics in China's real estate industry were analyzed using the standard deviation ellipse (SDE), Moran’s index, Theil index, random kernel density estimation (RKDA), and spatial Markov chain (SMC) methods. The GPE exhibited a U-shaped trend, with 2008 as the inflection point, first decreasing and then increasing. It reached a maximum value of 0.747 in 2020. The Theil index increased from 0.043 to 0.121 nationwide, indicating the overall characteristics of low-level slow growth, and imbalance. Discrepancies in input–output scales, the…
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Taxonomy
TopicsEnergy, Environment, Economic Growth · Land Use and Ecosystem Services · Efficiency Analysis Using DEA
