A Regional Sustainable Intensive Land Use Evaluation Based on Ecological Constraints: A Case Study in Jinan City

Qian Qian, Haiyan Liu and Xinqi Zheng
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Qian Qian: School of Information Engineering, China University of Geosciences, Beijing 100083, China
Haiyan Liu: School of Economic and Management, China University of Geosciences, Beijing 100083, China
Xinqi Zheng: School of Information Engineering, China University of Geosciences, Beijing 100083, China

Sustainability, 2019, vol. 11, issue 5, 1-20

Abstract: Intensive development is a sign of human social progress, and moderate intensification is a continuously pursued goal. However, how to conduct a moderately intensive land use evaluation remains a challenge. To solve this problem, this research proposes the concept of sustainable intensification variable and develops a sustainable intensification variable model to determine the appropriate interval of regional intensive land use and evaluate the intensification of land use. The evaluation method of the sustainable intensification variable model is based on the principle and method of the intensification variable, and the regional sustainable development evaluation factors in the model are revised based on rational land use and ecological constraints. To verify the rationality of the model and systematically evaluate the intensification of land use in the city of Jinan, this method was tested using land use data and social economic data on Jinan from 2001, 2011, and 2015. The results show that the model has a high accuracy in judging the moderately intensive interval of regional land use and evaluating intensive land use, and has important reference value for regional sustainable development decision-making.

Keywords: regional sustainable development; intensification variable; intensive land use evaluation model; ecological constraint (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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