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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Main Authors: Yikang Rui, Huang Huang, Min Lu, Bao Wang, Jiechen Wang
Format: Article
Language:English
Published: MDPI AG 2016-03-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:http://www.mdpi.com/2220-9964/5/3/27
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spelling 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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