{"title":"移动互联网与中国区域发展","authors":"Lei Dong, Haishan Wu","doi":"10.1177/0308518X16676091","DOIUrl":null,"url":null,"abstract":"Does the spread of mobile Internet promote regional development and reduce poverty? This important question is closely related to the topic of information and communication technologies (ICTs) and economic development, which has been discussed for a long time (Heeks, 2010; World Bank, 2016). Researchers have shown evidence that Internet connectivity and the use of mobile phones can reduce transaction cost, increase market efficiency, expand educational opportunities, and promote innovation (Aker and Mbiti, 2010; Guerrero, 2015; Litan and Rivlin, 2001). Yet little empirical works have been done to analyze the economical impacts of mobile Internet due to the scarcity of micro-level data, despite that smart-phone and mobile Internet are becoming an inseparable part of people’s daily lives. Here, we propose using a novel data source to map county-level mobile Internet coverage in China and analyze its relationship with socio-economical indicators. First, we extracted the most visited county as a user’s ‘‘home county’’ via Baidu’s geo-positioning data, which covers nearly 80% of the total mobile Internet users in China. We summed up the number of users within the whole country and scaled the total number up to 500 million—the total number of mobile Internet subscribers in China at the end of 2013 (CNNIC, 2016). We then divided the mobile Internet users of each county by its corresponding population derived from statistic yearbooks, constructing the mobile Internet coverage indicator at county-level. Second, we collected socio-economical data (e.g. gross regional product (GRP), national poverty counties, urbanization rate, and education year) from sixth population census and local governments’ reports, and combined them at county-level for comparison. Figure 1 maps the mobile Internet coverage and national poverty counties (released by the Office of Poverty Alleviation and Development in 2012). We find that the area of higher mobile Internet coverage (brighter) is also the area where the economy is more developed, such as Beijing, Shanghai, Guangdong, and Zhejiang; and most of the national poverty counties (in orange) are of lower mobile Internet coverage (darker), which looks like ‘‘digital black holes.’’ For example, there are 73 national poverty counties in Yunnan province (Figure 1(d)), ranking the lowest among all provinces. Meanwhile, the mobile Internet coverage of Yunnan is 22.9%, ranking the second lowest.","PeriodicalId":11906,"journal":{"name":"Environment and Planning A","volume":"24 1","pages":"725 - 727"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Mobile Internet and regional development in China\",\"authors\":\"Lei Dong, Haishan Wu\",\"doi\":\"10.1177/0308518X16676091\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Does the spread of mobile Internet promote regional development and reduce poverty? This important question is closely related to the topic of information and communication technologies (ICTs) and economic development, which has been discussed for a long time (Heeks, 2010; World Bank, 2016). Researchers have shown evidence that Internet connectivity and the use of mobile phones can reduce transaction cost, increase market efficiency, expand educational opportunities, and promote innovation (Aker and Mbiti, 2010; Guerrero, 2015; Litan and Rivlin, 2001). Yet little empirical works have been done to analyze the economical impacts of mobile Internet due to the scarcity of micro-level data, despite that smart-phone and mobile Internet are becoming an inseparable part of people’s daily lives. Here, we propose using a novel data source to map county-level mobile Internet coverage in China and analyze its relationship with socio-economical indicators. First, we extracted the most visited county as a user’s ‘‘home county’’ via Baidu’s geo-positioning data, which covers nearly 80% of the total mobile Internet users in China. We summed up the number of users within the whole country and scaled the total number up to 500 million—the total number of mobile Internet subscribers in China at the end of 2013 (CNNIC, 2016). We then divided the mobile Internet users of each county by its corresponding population derived from statistic yearbooks, constructing the mobile Internet coverage indicator at county-level. Second, we collected socio-economical data (e.g. gross regional product (GRP), national poverty counties, urbanization rate, and education year) from sixth population census and local governments’ reports, and combined them at county-level for comparison. Figure 1 maps the mobile Internet coverage and national poverty counties (released by the Office of Poverty Alleviation and Development in 2012). We find that the area of higher mobile Internet coverage (brighter) is also the area where the economy is more developed, such as Beijing, Shanghai, Guangdong, and Zhejiang; and most of the national poverty counties (in orange) are of lower mobile Internet coverage (darker), which looks like ‘‘digital black holes.’’ For example, there are 73 national poverty counties in Yunnan province (Figure 1(d)), ranking the lowest among all provinces. 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引用次数: 5
摘要
移动互联网的普及是否促进了区域发展,减少了贫困?这一重要问题与信息和通信技术(ict)与经济发展的主题密切相关,这一主题已被讨论了很长时间(Heeks, 2010;世界银行,2016)。研究表明,互联网连接和移动电话的使用可以降低交易成本,提高市场效率,扩大教育机会,促进创新(Aker和Mbiti, 2010;格雷罗州,2015;Litan and Rivlin, 2001)。然而,尽管智能手机和移动互联网正在成为人们日常生活中不可分割的一部分,但由于微观层面数据的缺乏,对移动互联网经济影响的实证研究很少。在此,我们建议使用一种新的数据来源来绘制中国县级移动互联网覆盖地图,并分析其与社会经济指标的关系。首先,我们通过b百度的地理定位数据提取了用户访问次数最多的县作为用户的“家乡县”,该数据覆盖了中国近80%的移动互联网用户。我们对全国范围内的用户数量进行汇总,并将总数扩大到5亿——2013年底中国移动互联网用户总数(CNNIC, 2016)。然后,我们将各县的移动互联网用户除以统计年鉴得出的相应人口,构建县级移动互联网覆盖指标。其次,我们从第六次人口普查和地方政府报告中收集社会经济数据(如地区生产总值(GRP)、国家贫困县、城市化率、受教育年限),并在县级层面进行合并比较。图1为移动互联网覆盖率与全国贫困县分布图(扶贫开发办公室2012年发布)。我们发现,移动互联网覆盖率越高(越亮)的地区也是经济越发达的地区,如北京、上海、广东和浙江;大多数国家贫困县(橙色)的移动互联网覆盖率较低(深色),看起来像“数字黑洞”。例如,云南省有73个国家贫困县(图1(d)),在所有省份中排名最低。同时,云南的移动互联网覆盖率为22.9%,排名倒数第二。
Does the spread of mobile Internet promote regional development and reduce poverty? This important question is closely related to the topic of information and communication technologies (ICTs) and economic development, which has been discussed for a long time (Heeks, 2010; World Bank, 2016). Researchers have shown evidence that Internet connectivity and the use of mobile phones can reduce transaction cost, increase market efficiency, expand educational opportunities, and promote innovation (Aker and Mbiti, 2010; Guerrero, 2015; Litan and Rivlin, 2001). Yet little empirical works have been done to analyze the economical impacts of mobile Internet due to the scarcity of micro-level data, despite that smart-phone and mobile Internet are becoming an inseparable part of people’s daily lives. Here, we propose using a novel data source to map county-level mobile Internet coverage in China and analyze its relationship with socio-economical indicators. First, we extracted the most visited county as a user’s ‘‘home county’’ via Baidu’s geo-positioning data, which covers nearly 80% of the total mobile Internet users in China. We summed up the number of users within the whole country and scaled the total number up to 500 million—the total number of mobile Internet subscribers in China at the end of 2013 (CNNIC, 2016). We then divided the mobile Internet users of each county by its corresponding population derived from statistic yearbooks, constructing the mobile Internet coverage indicator at county-level. Second, we collected socio-economical data (e.g. gross regional product (GRP), national poverty counties, urbanization rate, and education year) from sixth population census and local governments’ reports, and combined them at county-level for comparison. Figure 1 maps the mobile Internet coverage and national poverty counties (released by the Office of Poverty Alleviation and Development in 2012). We find that the area of higher mobile Internet coverage (brighter) is also the area where the economy is more developed, such as Beijing, Shanghai, Guangdong, and Zhejiang; and most of the national poverty counties (in orange) are of lower mobile Internet coverage (darker), which looks like ‘‘digital black holes.’’ For example, there are 73 national poverty counties in Yunnan province (Figure 1(d)), ranking the lowest among all provinces. Meanwhile, the mobile Internet coverage of Yunnan is 22.9%, ranking the second lowest.