Abstract
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.
Highlights
As the largest e-commerce market in the world, China’s e-commerce has maintained rapid development for many years
With the continuous expansion of the application fields and application depth of e-commerce, various regions have introduced policies to promote the development of local e-commerce and improved the service systems such as credit certification, payment guarantee, and brand promotion, training mechanism for scientific and technological talents, and development of logistics distribution. e development of e-commerce has created a lot of job opportunities for urban and rural residents and become one of the important drivers for the sustained economic growth. erefore, the spatial distribution characteristics of e-commerce can reflect the development of China’s economy and information technology to a large extent
In addition to the progress made in the use of e-commerce among individuals, it is important and meaningful to understand the extent and importance of differences between geographical regions [6, 7]. ere are many indicators published to measure the level of access to and use of information and communication technologies (ICTs), such as the ICT Development Index released by the International Telecommunication Union [8], the Digital Economy and Society Index [9] announced by the European Commission in 2017, and the Networked Readiness Index [10] reported by the World Economic Forum in 2017
Summary
As the largest e-commerce market in the world, China’s e-commerce has maintained rapid development for many years. E spatial distribution characteristics of e-commerce development reflect the imbalance of regional economic and social development to a large extent. Erefore, this paper explores the imbalance of e-commerce development at provincial and municipal scales It studies the relationship between economic and social development and the spatial pattern of e-commerce development at the district or county-level city scale. Referring to the internationally widely used measures of income gap between residents of countries or regions, we calculate the Gini coefficient based on online retail sales at both city scale and district or county-level city scale. Based on the publicly available e-commerce development data and basic geographic information data, we use GIS technology and spatial statistical analysis tools in ArcGIS software to investigate the spatial aggregation pattern of online retail sales at the district or county-level city scale. To verify the fitness of the proposed model, we use spatial autocorrelation analysis, geographical weighted regression analysis, etc., to analyse quantitatively with publicly available economic development related data, such as GDP, disposable fiscal income, and income of urban residents
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