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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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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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 |
work_keys_str_mv |
AT yzhang analysisofspatialpatternandinfluencingfactorsofecommerce AT jchen analysisofspatialpatternandinfluencingfactorsofecommerce AT szhang analysisofspatialpatternandinfluencingfactorsofecommerce |
_version_ |
1726011786600120320 |