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Open AccessArticle

Coupling Analysis of Urban Land Use Benefits: A Case Study of Xiamen City

by Xuanming Ji 1,2, Kun Wang 1, Tao Ji 3, Yihua Zhang 1 and Kun Wang 2,4,*
1
School of Finance and economics, Jimei University, Xiamen 361021, China
2
The Institute of Financial Studies, Sichuan University, Chengdu 610064, China
3
Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI 53706, USA
4
Business School, Sichuan University, Chengdu 610064, China
*
Author to whom correspondence should be addressed.
Land 2020, 9(5), 155; https://doi.org/10.3390/land9050155
Received: 15 April 2020 / Revised: 13 May 2020 / Accepted: 14 May 2020 / Published: 17 May 2020
The high coupling coordination of urban land use benefits is a significant factor for urbanization and sustainable urban development. This study, based on the statistical data from 2002 to 2017 of Xiamen City, constructs an index system that includes social, economic, ecological, and environmental benefits by evaluating the overall coupling coordination degree of land use benefits, using the entropy weight method (EWM), the coupling coordination degree (CCD) model, and the dynamic coupling coordination degree (DCCD) model. The results show that the coupling degree of Xiamen City’s land use is relatively low, while showing a positive trend of development. In terms of the management of land use, the market should play a major role to achieve more efficient land use and promote industrial upgrading. The government should take responsibility for supplying infrastructure, perfecting related laws and regulations, intervening the land use according to the law of markets, and expanding the investment in education, as well as science and technology. View Full-Text
Keywords: land use benefits; entropy weight method; coupling coordination degree; Xiamen City land use benefits; entropy weight method; coupling coordination degree; Xiamen City
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Ji, X.; Wang, K.; Ji, T.; Zhang, Y.; Wang, K. Coupling Analysis of Urban Land Use Benefits: A Case Study of Xiamen City. Land 2020, 9, 155.

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