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Sustainability 2017, 9(2), 189; doi:10.3390/su9020189

Overall Urban–Rural Coordination Measures—A Case Study in Sichuan Province, China

The Economy and Enterprise Development Institute, Sichuan University, Chengdu 610065, China
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Academic Editor: Brian Deal
Received: 3 November 2016 / Revised: 23 November 2016 / Accepted: 18 January 2017 / Published: 27 January 2017
(This article belongs to the Special Issue Urban Sustainability and Planning Support Systems)
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Abstract

Focusing on urban–rural development issues, this paper analyzes the necessity of coordinated development between the narrowing gap and integral development. An overall urban– rural development dynamic model aimed at two major objectives is pointed out. A principal component analysis (PCA)—Grey Entropy measurement model is proposed to evaluate urban–rural coordination from economic development, social security, public services, and environmental quality perspectives. In this model, principal component analysis (PCA) was used to extract the components that explained overall urban–rural coordination. This model was then combined with Grey Entropy to measure the level of urban–rural development coordination. By establishing a scientific measurement model, the coordination value of the rural and urban areas was effectively calculated from a comprehensive perspective, including subsystems and static and dynamic coordination values. Finally, the model was applied to Sichuan Province as an example to show its effectiveness in measuring urban–rural coordination. View Full-Text
Keywords: overall urban–rural coordination; principal component analysis; Grey Entropy; measurement model overall urban–rural coordination; principal component analysis; Grey Entropy; measurement model
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Zhu, H.; Deng, F.; Liang, X. Overall Urban–Rural Coordination Measures—A Case Study in Sichuan Province, China. Sustainability 2017, 9, 189.

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