在第七次全国人口普查数据支持下,文章将以往对中国省际人口迁移网络分析的时间维度延展至1985—2020年,基于复杂网络视角,对人口迁移网络组织结构及时空演化特征展开系统分析。研究发现：①人口迁移规模呈现先升后降的趋势,东部沿海发达地区是主要人口迁入地,中部、西部和东北部地区则为主要人口迁出地,且迁移网络呈现显著“小世界”特性;②随时间推移,迁移网络分散和空间不平衡程度逐步增强,东北地区面临更严峻的人口外出困境,迁移网络的“小世界”特性先下降后升高;③迁移网络结构在1985—1995年呈四社团结构（华北、长江、华南、西北）,在1995—2015年呈三社团结构（华北、长江、华南）,在2015—2020年呈四社团结构（华北、长江、华南、西部）,北京、长三角地区和广东持续是人口迁入核心节点,川渝地区在2015—2020年成为人口迁入中心;④人口迁移网络格局演化是改革开放后经济调整、社会转型、政策利导的经济地理投影。
Supported by the data of the 7th National Population Census,this paper extends the time dimension of the previous analysis of interprovincial population migration networks in China from 1985 to 2020,and analyzes the population migration network structure and its spatiotemporal evolution patterns from the perspective of complex network. The main findings are: 1) The scale of population migration exhibits a trend of increase followed by a decrease,the developed eastern coastal regions are the main immigration destinations and the central,western and northeastern regions being the main emigration destinations,and the migration network shows significant "small-world" characteristics. 2) The migration network becomes more fragmented and spatially unbalanced,with the northeastern regions facing the increasingly severe predicament of population loss,while the "small-world" characteristics of the migration network declined firstly and then increased. 3) The structure of the migration network shows a four-community pattern (north China,Yangtze River,south China,northwest China) in 1985-1995,a three-community pattern (north China,south China,northwest China) in 1995-2015,and a four-community pattern (north China,Yangtze River,south China,west China) in 2015-2020. Beijing,the Yangtze River Delta and Guangdong continue to be the core nodes of population migration,while Sichuan and Chongqing become the centre of population migration in 2015-2020. The migration network structure is the economic,geographical reflection of China's economic adjustment,social transformation,and favourable policies after the reform and opening-up.
[1] 蔡昉. 人口转变、人口红利与刘易斯转折点[J]. 经济研究,2010,45(4):4-13.
[2] Gu H.Understanding the migration of highly and less-educated labourers in post-reform China[J]. Applied Geography,2021,137:102605.
[3] Shen J.Increasing internal migration in China from 1985 to 2005:Institutional versus economic drivers[J]. Habitat International,2013,39:1-7.
[4] 刘艳军,汤爽爽,吴康,等. 经济地理学视角下中国人口研究热点与展望[J]. 经济地理,2021,41(10):97-105,142.
[5] 朱宇,丁金宏,王桂新,等. 近40年来的中国人口地理学——一个跨学科研究领域的进展[J]. 地理科学进展,2017,36(4):466-482.
[6] Ravenstein E G. The laws of migration[J]. Journal of the Royal Statistical Society,1889,52(2):241-305.
[7] Zipf G K.The P 1 P 2/D hypothesis:On the intercity movement of persons[J]. American Sociological Review,1946,11(6):677-686.
[8] Lewis W A.Economic development with unlimited supplies of labour[J]. The Manchester School,1954,22(2):139-191.
[9] Lee E S.A theory of migration[J]. Demography,1966,3(1):47-57.
[10] Sjaastad L A.The costs and returns of human migration[J]. Journal of Political Economy,1962,70(5,Part 2):80-93.
[11] Rosen S.Hedonic prices and implicit markets:Product differentiation in pure competition[J]. Journal of Political Economy,1974,82(1):34-55.
[12] Todaro M P.A model of labor migration and urban unemployment in less developed countries[J]. The American Economic Review,1969,59(1):138-148.
[13] Tiebout C M.A pure theory of local expenditures[J]. Journal of Political Economy,1956,64(5):416-424.
[14] Taylor J E.Differential migration,networks,information and risk[J]. Migration,Human Capital and Development,1986,4:147-171.
[15] Stark O.The Migration of Labor[M]. Oxford:Basil Blackwell,1991.
[16] Fan C C.Modeling interprovincial migration in China,1985-2000[J]. Eurasian Geography and Economics,2005,46(3):165-184.
[17] Shen J.Changing patterns and determinants of interprovincial migration in China 1985-2000[J]. Population,Space and Place,2012,18(3):384-402.
[18] Gu H,Liu Z,Shen T,et al.Modelling interprovincial migration in China from 1995 to 2015 based on an eigenvector spatial filtering negative binomial model[J]. Population,Space and Place,2019,25(8):e2253.
[19] Liu Y,Stillwell J,Shen J,et al.Interprovincial migration,regional development and state policy in China,1985-2010[J]. Applied Spatial Analysis and Policy,2014,7(1):47-70.
[20] 蒲英霞,武振伟,葛莹,等. 不确定性视角下的中国省际人口迁移机制分析[J]. 地理学报,2021,76(12):2964-2977.
[21] 古恒宇,沈体雁,刘子亮,等. 基于空间滤波方法的中国省际人口迁移驱动因素[J]. 地理学报,2019,74(2):222-237.
[22] 李扬,刘慧,汤青. 1985—2010年中国省际人口迁移时空格局特征[J]. 地理研究,2015,34(6):1135-1148.
[23] 董上,蒲英霞,马劲松,等. 中国省际人口迁移的复杂网络研究[J]. 南方人口,2014,29(2):54-61.
[24] 李毅,刘雅楠,金勇进. 基于复杂网络视角下省际人口迁移空间格局及趋势研究[J]. 统计研究,2017,34(9):56-64.
[25] 古恒宇,沈体雁. 1995—2015年中国省际人口迁移网络的演化特征——基于异质性劳动力视角[J]. 地理研究,2021,40(6):1823-1839.
[26] 盛广耀. 中国省际人口流动网络的演化及其解释[J]. 中国人口·资源与环境,2018,28(11):1-9.
[27] Lao X,Deng X,Gu H,et al. Comparing intercity mobility patterns among different holidays in China:A big data analysis[J]. Applied Spatial Analysis and Policy,2022. https://doi.org/10.1007/s12061-021-09433-z.
[28] 蒋小荣,汪胜兰. 中国地级以上城市人口流动网络研究——基于百度迁徙大数据的分析[J]. 中国人口科学,2017(2):35-46,127.
[29] 古恒宇,杨健,艾国炬,等. 中国市际流动人口居留意愿网络特征分析[J]. 经济地理,2021,41(8):89-96.
[30] Watts D J,Strogatz S H.Collective dynamics of "small-world" networks[J]. Nature,1998,393(6684):440.
[31] Newman M E J. Modularity and community structure in networks[J]. Proceedings of the National Academy of Sciences,2006,103(23):8577-8582.
[32] 周麟,古恒宇,何泓浩. 2006—2018年中国区域创新结构演变[J]. 经济地理,2021,41(5):19-28.
[33] 魏后凯,年猛,李玏. “十四五”时期中国区域发展战略与政策[J]. 中国工业经济,2020(5):5-22.
[34] 张海峰,张家滋,姚先国. 我国住房成本的空间演化与劳动力流动决策影响[J]. 经济地理,2019,39(7):31-38.
[35] 杨开忠,范博凯,董亚宁. 空间品质、创新活力与中国城市生产率[J]. 经济管理,2022,44(1):47-64.
