A Comparative Analysis of the Distributions of KFC and McDonald’s Outlets in China
Mainland China has become one of the most important markets for international fast-food chains over the past decade. To study the regional spread of KFC and McDonald’s outlets in Chinese cities, the correlation of their distributions and degree of market expansion were explored and compared to analy...
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doaj-3231f430121e49c9bced9f24e1a40f542020-11-24T23:31:57ZengMDPI AGISPRS International Journal of Geo-Information2220-99642016-03-01532710.3390/ijgi5030027ijgi5030027A Comparative Analysis of the Distributions of KFC and McDonald’s Outlets in ChinaYikang Rui0Huang Huang1Min Lu2Bao Wang3Jiechen Wang4Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, ChinaJiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, ChinaJiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, ChinaJiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, ChinaJiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, ChinaMainland China has become one of the most important markets for international fast-food chains over the past decade. To study the regional spread of KFC and McDonald’s outlets in Chinese cities, the correlation of their distributions and degree of market expansion were explored and compared to analyze both the local and the global spatial autocorrelations. A geographically weighted Poisson regression model was also used to examine the influence of demographic, economic, and geographic factors on their spatial distributions. The findings of this comparative study reveal the site selection criteria at the city level by studying the differences and similarities in outlet distributions for KFC and McDonald’s. The presented results can guide other chains to enhance business location planning and formulate regional development policy.http://www.mdpi.com/2220-9964/5/3/27fast-food chainsspatial distributionspatial autocorrelationgeographically weighted Poisson regression |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yikang Rui Huang Huang Min Lu Bao Wang Jiechen Wang |
spellingShingle |
Yikang Rui Huang Huang Min Lu Bao Wang Jiechen Wang A Comparative Analysis of the Distributions of KFC and McDonald’s Outlets in China ISPRS International Journal of Geo-Information fast-food chains spatial distribution spatial autocorrelation geographically weighted Poisson regression |
author_facet |
Yikang Rui Huang Huang Min Lu Bao Wang Jiechen Wang |
author_sort |
Yikang Rui |
title |
A Comparative Analysis of the Distributions of KFC and McDonald’s Outlets in China |
title_short |
A Comparative Analysis of the Distributions of KFC and McDonald’s Outlets in China |
title_full |
A Comparative Analysis of the Distributions of KFC and McDonald’s Outlets in China |
title_fullStr |
A Comparative Analysis of the Distributions of KFC and McDonald’s Outlets in China |
title_full_unstemmed |
A Comparative Analysis of the Distributions of KFC and McDonald’s Outlets in China |
title_sort |
comparative analysis of the distributions of kfc and mcdonald’s outlets in china |
publisher |
MDPI AG |
series |
ISPRS International Journal of Geo-Information |
issn |
2220-9964 |
publishDate |
2016-03-01 |
description |
Mainland China has become one of the most important markets for international fast-food chains over the past decade. To study the regional spread of KFC and McDonald’s outlets in Chinese cities, the correlation of their distributions and degree of market expansion were explored and compared to analyze both the local and the global spatial autocorrelations. A geographically weighted Poisson regression model was also used to examine the influence of demographic, economic, and geographic factors on their spatial distributions. The findings of this comparative study reveal the site selection criteria at the city level by studying the differences and similarities in outlet distributions for KFC and McDonald’s. The presented results can guide other chains to enhance business location planning and formulate regional development policy. |
topic |
fast-food chains spatial distribution spatial autocorrelation geographically weighted Poisson regression |
url |
http://www.mdpi.com/2220-9964/5/3/27 |
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