Study on Spatial Imbalance and Determinants of E-Commerce Development in Zhejiang, China
As a world-famous and well-developed e-commerce region, the development of e-commerce in Zhejiang province has always attracted people’s wide attention. Based on publicly available e-commerce transaction-related data, basic geographic data, and regional economic and social development data, we use t...
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2021/6687229 |
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doaj-037105803177487a991c3eafd3d2d8a52021-02-15T12:53:09ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472021-01-01202110.1155/2021/66872296687229Study on Spatial Imbalance and Determinants of E-Commerce Development in Zhejiang, ChinaHaidong Zhong0Jinhui Zhang1Shaozhong Zhang2Wen Zheng3Digital Industry Research Institute, Zhejiang Wanli University, Ningbo 315100, Zhejiang, ChinaLogistics and E-Commerce School, Zhejiang Wanli University, Ningbo 315100, ChinaCollege of Information and Intelligence Engineering, Zhejiang Wanli University, Ningbo 315100, ChinaDigital Industry Research Institute, Zhejiang Wanli University, Ningbo 315100, Zhejiang, ChinaAs a world-famous and well-developed e-commerce region, the development of e-commerce in Zhejiang province has always attracted people’s wide attention. Based on publicly available e-commerce transaction-related data, basic geographic data, and regional economic and social development data, we use the Gini coefficient to measure the imbalance of e-commerce development in Zhejiang province during 2017–2019. With the help of spatial analyst tools in ArcGIS desktop, the cluster and outlier analysis method is used to study the spatial pattern of e-commerce development in the province at the district or county-level city scale. To explore the causes of spatial aggregation and imbalance of e-commerce in Zhejiang province quantitatively, the paper proposes a geographical weighted regression (GWR) model with 15 economic and social development-related indicators. GWR and ordinary least squares (OLS) analysis indicate that 5 of the 15 selected indicators are highly related to the development of regional e-commerce development in Zhejiang, China.http://dx.doi.org/10.1155/2021/6687229 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Haidong Zhong Jinhui Zhang Shaozhong Zhang Wen Zheng |
spellingShingle |
Haidong Zhong Jinhui Zhang Shaozhong Zhang Wen Zheng Study on Spatial Imbalance and Determinants of E-Commerce Development in Zhejiang, China Mathematical Problems in Engineering |
author_facet |
Haidong Zhong Jinhui Zhang Shaozhong Zhang Wen Zheng |
author_sort |
Haidong Zhong |
title |
Study on Spatial Imbalance and Determinants of E-Commerce Development in Zhejiang, China |
title_short |
Study on Spatial Imbalance and Determinants of E-Commerce Development in Zhejiang, China |
title_full |
Study on Spatial Imbalance and Determinants of E-Commerce Development in Zhejiang, China |
title_fullStr |
Study on Spatial Imbalance and Determinants of E-Commerce Development in Zhejiang, China |
title_full_unstemmed |
Study on Spatial Imbalance and Determinants of E-Commerce Development in Zhejiang, China |
title_sort |
study on spatial imbalance and determinants of e-commerce development in zhejiang, china |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2021-01-01 |
description |
As a world-famous and well-developed e-commerce region, the development of e-commerce in Zhejiang province has always attracted people’s wide attention. Based on publicly available e-commerce transaction-related data, basic geographic data, and regional economic and social development data, we use the Gini coefficient to measure the imbalance of e-commerce development in Zhejiang province during 2017–2019. With the help of spatial analyst tools in ArcGIS desktop, the cluster and outlier analysis method is used to study the spatial pattern of e-commerce development in the province at the district or county-level city scale. To explore the causes of spatial aggregation and imbalance of e-commerce in Zhejiang province quantitatively, the paper proposes a geographical weighted regression (GWR) model with 15 economic and social development-related indicators. GWR and ordinary least squares (OLS) analysis indicate that 5 of the 15 selected indicators are highly related to the development of regional e-commerce development in Zhejiang, China. |
url |
http://dx.doi.org/10.1155/2021/6687229 |
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