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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Main Authors: Haidong Zhong, Jinhui Zhang, Shaozhong Zhang, Wen Zheng
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2021/6687229
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spelling 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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