ANALYSIS OF SPATIAL PATTERN AND INFLUENCING FACTORS OF E-COMMERCE

This paper aims to study the relationship between e-commerce development and geographical characteristics using data of e-commerce, economy, Internet, express delivery and population from 2011 to 2015. Moran’s I model and GWR model are applied to analyze the spatial pattern of E-commerce and its i...

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Main Authors: Y. Zhang, J. Chen, S. Zhang
Format: Article
Language:English
Published: Copernicus Publications 2017-09-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W7/1461/2017/isprs-archives-XLII-2-W7-1461-2017.pdf
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spelling doaj-5aea46b00d7a4037a95fed78a72b6d012020-11-24T21:17:50ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342017-09-01XLII-2-W71461146710.5194/isprs-archives-XLII-2-W7-1461-2017ANALYSIS OF SPATIAL PATTERN AND INFLUENCING FACTORS OF E-COMMERCEY. Zhang0J. Chen1S. Zhang2School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaThis paper aims to study the relationship between e-commerce development and geographical characteristics using data of e-commerce, economy, Internet, express delivery and population from 2011 to 2015. Moran’s I model and GWR model are applied to analyze the spatial pattern of E-commerce and its influencing factors. There is a growth trend of e-commerce from west to east, and it is obvious to see that e-commerce development has a space-time clustering, especially around the Yangtze River delta. The comprehensive factors caculated through PCA are described as fundamental social productivity, resident living standard and population sex structure. The first two factors have positive correlation with e-commerce, and the intensity of effect increases yearly. However, the influence of population sex structure on the E-commerce development is not significant. Our results suggest that the clustering of e-commerce has a downward trend and the impact of driving factors on e-commerce is observably distinct from year to year in space.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W7/1461/2017/isprs-archives-XLII-2-W7-1461-2017.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Y. Zhang
J. Chen
S. Zhang
spellingShingle Y. Zhang
J. Chen
S. Zhang
ANALYSIS OF SPATIAL PATTERN AND INFLUENCING FACTORS OF E-COMMERCE
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet Y. Zhang
J. Chen
S. Zhang
author_sort Y. Zhang
title ANALYSIS OF SPATIAL PATTERN AND INFLUENCING FACTORS OF E-COMMERCE
title_short ANALYSIS OF SPATIAL PATTERN AND INFLUENCING FACTORS OF E-COMMERCE
title_full ANALYSIS OF SPATIAL PATTERN AND INFLUENCING FACTORS OF E-COMMERCE
title_fullStr ANALYSIS OF SPATIAL PATTERN AND INFLUENCING FACTORS OF E-COMMERCE
title_full_unstemmed ANALYSIS OF SPATIAL PATTERN AND INFLUENCING FACTORS OF E-COMMERCE
title_sort analysis of spatial pattern and influencing factors of e-commerce
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2017-09-01
description This paper aims to study the relationship between e-commerce development and geographical characteristics using data of e-commerce, economy, Internet, express delivery and population from 2011 to 2015. Moran’s I model and GWR model are applied to analyze the spatial pattern of E-commerce and its influencing factors. There is a growth trend of e-commerce from west to east, and it is obvious to see that e-commerce development has a space-time clustering, especially around the Yangtze River delta. The comprehensive factors caculated through PCA are described as fundamental social productivity, resident living standard and population sex structure. The first two factors have positive correlation with e-commerce, and the intensity of effect increases yearly. However, the influence of population sex structure on the E-commerce development is not significant. Our results suggest that the clustering of e-commerce has a downward trend and the impact of driving factors on e-commerce is observably distinct from year to year in space.
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W7/1461/2017/isprs-archives-XLII-2-W7-1461-2017.pdf
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AT jchen analysisofspatialpatternandinfluencingfactorsofecommerce
AT szhang analysisofspatialpatternandinfluencingfactorsofecommerce
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