1950–2050年“一带一路”沿线国家人口与城市化发展的时空演变研究(英文)

被引:28
作者
刘海猛 [1 ,2 ]
方创琳 [1 ,2 ,3 ]
苗毅 [4 ]
马海涛 [1 ]
张蔷 [1 ]
周强 [1 ,2 ]
机构
[1] Institute of Geographic Sciences and Natural Resources Research, CAS
[2] College of Resources and Environment, University of Chinese Academy of Sciences
[3] Institute of Economics, Xinjiang University
[4] College of Geography and Environment, Shandong Normal University
关键词
Belt and Road; population; urbanization; population migration; spatio-temporal evolution; China;
D O I
暂无
中图分类号
C924.1 [世界人口]; F299.1 [世界];
学科分类号
1407 ; 1204 ;
摘要
This paper uses data for the period 1950–2050 compiled by the United Nations Population Division together with methods including spatial autocorrelation analysis, hierarchical cluster analysis and the standard deviational ellipse, to analyze the spatio-temporal evolution of population and urbanization in the 75 countries located along the routes of the Silk Road Economic Belt and the 21 st-century Maritime Silk Road, to identify future population growth and urbanization hotspots. The results reveal the following: First, in 2015, the majority of Belt and Road countries in Europe, South Asia and Southeast Asia had high population densities, whereas most countries in Central Asia, North Africa and West Asia, as well as Russia and Mongolia, had low population densities; the majority of countries in South Asia, Southeast Asia, Central Asia, West Asia and North Africa had rapid population growth, whereas many countries in Europe had negative population growth; and five Belt and Road countries are in the initial stage of urbanization, 44 countries are in the acceleration stage of urbanization, and 26 are in the terminal stage of urbanization. Second, in the century from 1950 to 2050, the mean center of the study area's population is consistently located in the border region between India and China. Prior to 2000, the trajectory of the mean center was from northwest to southeast, but from 2000 it is on a southward trajectory, as the population of the study area becomes more concentrated. Future population growth hotspots are predicted to be in South Asia, West Asia and Southeast Asia, and hotspot countries for the period 2015–2030 include India, China, Pakistan and Indonesia, though China will move into negative population growth after 2030. Third, the overall urban population of Belt and Road countries increased from 22% in 1950 to 49% in 2015, and it is expected to gradually catch up with the world average, reaching 64% in 2050. The different levels of urbanization in different countries display significant spatial dependency, and in the hundred-year period under con-sideration, this dependency increases before eventually weakening. Fourth, between 2015 and 2030, urban population hotspots will include Thailand, China, Laos and Albania, while Kuwait, Cyprus, Qatar and Estonia will be urban "coldspots." Fifth, there were 293 cities with populations over 1 million located along the Belt and Road in 2015, but that number is expected to increase to 377 by 2030. Of those, 43 will be in China, with many of the others located in India, Indonesia and the eastern Mediterranean.
引用
收藏
页码:919 / 936
页数:18
相关论文
共 14 条
[1]   中国城市群交通网络结构及可达性的时空特征演变与差异研究(英文) [J].
宋歌 ;
杨家文 .
JournalofGeographicalSciences, 2016, 26 (10) :1497-1516
[2]   丝绸之路经济带中国-哈萨克斯坦国际合作示范区物流业发展与跨境电商平台建设 [J].
刘海猛 ;
方创琳 ;
任宇飞 .
干旱区地理, 2016, 39 (05) :951-958
[3]   “一带一路”信息化格局及对策 [J].
程昊 ;
孙九林 ;
董锁成 ;
郭鹏 ;
李富佳 ;
李宇 ;
李泽红 ;
王卷乐 .
中国科学院院刊, 2016, 31 (06) :656-662
[4]   “一带一路”沿线国家安全形势评估及对策 [J].
赵敏燕 ;
董锁成 ;
王喆 ;
程昊 ;
覃方铭 ;
李宇 ;
李泽红 ;
李飞 .
中国科学院院刊, 2016, 31 (06) :689-696
[5]   2001~2013年中国与“一带一路”沿线国家贸易网络分析 [J].
邹嘉龄 ;
刘卫东 .
地理科学, 2016, 36 (11) :1629-1636
[6]   丝绸之路经济带经济差异时空格局演变特征 [J].
潘竟虎 ;
胡艳兴 ;
董晓峰 .
经济地理, 2016, 36 (01) :10-17
[7]   “一带一路”的地缘政治想象与地区合作 [J].
曾向红 .
世界经济与政治, 2016, (01) :46-71+157
[8]   “一带一路”战略的科学内涵与科学问题 [J].
刘卫东 .
地理科学进展, 2015, 34 (05) :538-544
[9]   中国流动人口空间格局的演变特征、形成机制及城镇化效应——基于2000和2010年人口普查分县数据的分析(英文) [J].
刘涛 ;
齐元静 ;
曹广忠 ;
刘慧 .
JournalofGeographicalSciences, 2015, 25 (02) :236-256
[10]   丝绸之路经济带生态环境格局与生态文明建设模式 [J].
李泽红 ;
王卷乐 ;
赵中平 ;
董锁成 ;
李宇 ;
诸云强 ;
程昊 .
资源科学, 2014, 36 (12) :2476-2482