Spatial–Temporal Characteristics and Determinants of Digital Divide in China: A Multivariate Spatial Analysis
The digital divide has loomed as a sustainable development issue for over two decades and there has been much research in terms of efforts to measure the digital divide from different dimensions and scales. Drawing on spatial agglomeration analysis and multiple linear regression, this paper aims to...
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doaj-f614f25c134144bcabbb82dff1f372b52020-11-25T01:12:22ZengMDPI AGSustainability2071-10502019-08-011117452910.3390/su11174529su11174529Spatial–Temporal Characteristics and Determinants of Digital Divide in China: A Multivariate Spatial AnalysisZhouying Song0Tao Song1Yu Yang2Zhenbo Wang3Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaKey Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaKey Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaKey Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaThe digital divide has loomed as a sustainable development issue for over two decades and there has been much research in terms of efforts to measure the digital divide from different dimensions and scales. Drawing on spatial agglomeration analysis and multiple linear regression, this paper aims to reveal the spatiotemporal pattern of the prefectural digital divide in China and its determinants. The results show that there is a significant prefectural digital divide in China that is characterized by a decline of ICT development index (IDI) values from the east to the west as well as from core cities to more peripheral ones. Cities with high IDI values are mainly concentrated in large metropolitan areas in eastern China, whereas cities with low values tend to concentrate in poverty stricken regions in central and western China. However, the digital divide has been characterized by a reduction from 2001 to 2015. The results also show that both economic and educational factors have significant influences on the prefectural digital divide in China. During the early stages, the percentage of university students, urban residential income, and the urbanization rate were key factors. However, after 2010, the adult literacy rate and rural residential income determined the digital divide.https://www.mdpi.com/2071-1050/11/17/4529digital divideICT development indexspatial–temporal characteristicsspatial correlationsimpact factor |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zhouying Song Tao Song Yu Yang Zhenbo Wang |
spellingShingle |
Zhouying Song Tao Song Yu Yang Zhenbo Wang Spatial–Temporal Characteristics and Determinants of Digital Divide in China: A Multivariate Spatial Analysis Sustainability digital divide ICT development index spatial–temporal characteristics spatial correlations impact factor |
author_facet |
Zhouying Song Tao Song Yu Yang Zhenbo Wang |
author_sort |
Zhouying Song |
title |
Spatial–Temporal Characteristics and Determinants of Digital Divide in China: A Multivariate Spatial Analysis |
title_short |
Spatial–Temporal Characteristics and Determinants of Digital Divide in China: A Multivariate Spatial Analysis |
title_full |
Spatial–Temporal Characteristics and Determinants of Digital Divide in China: A Multivariate Spatial Analysis |
title_fullStr |
Spatial–Temporal Characteristics and Determinants of Digital Divide in China: A Multivariate Spatial Analysis |
title_full_unstemmed |
Spatial–Temporal Characteristics and Determinants of Digital Divide in China: A Multivariate Spatial Analysis |
title_sort |
spatial–temporal characteristics and determinants of digital divide in china: a multivariate spatial analysis |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2019-08-01 |
description |
The digital divide has loomed as a sustainable development issue for over two decades and there has been much research in terms of efforts to measure the digital divide from different dimensions and scales. Drawing on spatial agglomeration analysis and multiple linear regression, this paper aims to reveal the spatiotemporal pattern of the prefectural digital divide in China and its determinants. The results show that there is a significant prefectural digital divide in China that is characterized by a decline of ICT development index (IDI) values from the east to the west as well as from core cities to more peripheral ones. Cities with high IDI values are mainly concentrated in large metropolitan areas in eastern China, whereas cities with low values tend to concentrate in poverty stricken regions in central and western China. However, the digital divide has been characterized by a reduction from 2001 to 2015. The results also show that both economic and educational factors have significant influences on the prefectural digital divide in China. During the early stages, the percentage of university students, urban residential income, and the urbanization rate were key factors. However, after 2010, the adult literacy rate and rural residential income determined the digital divide. |
topic |
digital divide ICT development index spatial–temporal characteristics spatial correlations impact factor |
url |
https://www.mdpi.com/2071-1050/11/17/4529 |
work_keys_str_mv |
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