Regionalization of Green Building Development in China: A Comprehensive Evaluation Model Based on the Catastrophe Progression Method

Linyan Chen, Xin Gao, Shitao Gong and Zhou Li
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Linyan Chen: School of Economics and Management, Tongji University, Shanghai 200092, China
Xin Gao: School of Economics and Management, Tongji University, Shanghai 200092, China
Shitao Gong: School of Economics and Management, Tongji University, Shanghai 200092, China
Zhou Li: School of Economics and Management, Tongji University, Shanghai 200092, China

Sustainability, 2020, vol. 12, issue 15, 1-22

Abstract: As an effective measure to reduce energy and material consumption, green building has drawn much attention all over the world. Under the background of ecological city construction, the development speed of green building is extremely high in China. However, it is unclear about the overview of regional green building development. This study puts forward an evaluation model to scientifically measure the regional development of green building. The rough set theory and the catastrophe progression method optimized by entropy method are utilized in the model. A case study is conducted to clarify the application of the evaluation model, and the spatial distribution of regional green building development in 2015 is shown in the end. The result shows that the evaluation model is scientific and applicable. The spatial distribution of green building development in China was uneven. Green building development concentrated on the Beijing-Tianjin-Hebei area, Jiangsu-Zhejiang-Shanghai Area, Guangdong and Chongqing. Tibet was almost the bottom in every aspect, but it performed the best in economic efficiency. This study not only contributes to the research area of green building development, but also helps to promote green buildings in practice.

Keywords: green building development; evaluation; spatial distribution; catastrophe progression method; sustainable development (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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