A Multi-Attribute Approach for Low-Carbon and Intensive Land Use of Jinan, China

Qingling Yu, Jing Li (), Xinhai Lu and Liyu Wang
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Qingling Yu: College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China
Jing Li: College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China
Xinhai Lu: College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China
Liyu Wang: Jinan City Planning and Design Institute, Jinan 250013, China

Land, 2023, vol. 12, issue 6, 1-22

Abstract: This paper establishes an evaluation system based on the low-carbon intensive land use in Jinan city from 2010 to 2017 and uses a multi-attribute approach named grey fuzzy integral to build the evaluation model. In this model, based on the Mobius transformation coefficient of subjective and objective weights of index factors and the interaction degree between index factors, 2-additive fuzzy measures can be obtained; therefore, evaluation of low-carbon and intensive land use in Jinan city is processed by combining the grey correlation degree and Choquet fuzzy integral. The results show that in the study period, land input intensity, land use degree, land output benefit and land sustainability in Jinan city all show a good upward trend, but the low-carbon land use level of has been in a declining state. Although there is a good development trend of low-carbon and intensive land use in Jinan, the state is not stable. A Low-carbon and intensive land use pattern will not be achieved completely overnight, and it is bound to be a dynamic game process.

Keywords: the grey fuzzy integral; low-carbon; intensity; land use (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
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