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

Hui Zhu, Fumin Deng and Xuedong Liang
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Hui Zhu: The Economy and Enterprise Development Institute, Sichuan University, Chengdu 610065, China
Fumin Deng: The Economy and Enterprise Development Institute, Sichuan University, Chengdu 610065, China
Xuedong Liang: The Economy and Enterprise Development Institute, Sichuan University, Chengdu 610065, China

Sustainability, 2017, vol. 9, issue 2, 1-20

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.

Keywords: overall urban–rural coordination; principal component analysis; Grey Entropy; measurement model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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