Application of a hybrid Entropy-McKinsey Matrix method in evaluating sustainable urbanization: A China case study

Liyin Shen, Jingyang Zhou*, Martin Skitmore, Bo Xia

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

68 Citations (Scopus)
16 Downloads (Pure)

Abstract

Although urbanization can promote social and economic development, it can also cause various problems. As the key decision makers of urbanization, local governments should be able to evaluate urbanization performance, summarize experiences, and find problems caused by urbanization. This paper introduces a hybrid Entropy-McKinsey Matrix method for evaluating sustainable urbanization. The McKinsey Matrix is commonly referred to as the GE Matrix. The values of a development index (DI) and coordination index (CI) are calculated by employing the Entropy method and are used as a basis for constructing a GE Matrix. The matrix can assist in assessing sustainable urbanization performance by locating the urbanization state point. A case study of the city of Jinan in China demonstrates the process of using the evaluation method. The case study reveals that the method is an effective tool in helping policy makers understand the performance of urban sustainability and therefore formulate suitable strategies for guiding urbanization toward better sustainability.

Original languageEnglish
Pages (from-to)186-194
Number of pages9
JournalCities
Volume42
Issue numberPB
DOIs
Publication statusPublished - 1 Feb 2015
Externally publishedYes

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