[1] 段成荣. 省际人口迁移迁入地选择的影响因素分析[J]. 人口研究, 2001,(1):56-61; [2] 肖群鹰,刘慧君. 基于QAP算法的省际劳动力迁移动因理论再检验[J]. 中国人口科学, 2007,(4):26-33; [3] 王桂新,潘泽瀚,陆燕秋. 中国省际人口迁移区域模式变化及其影响因素——基于2000和2010年人口普查资料的分析[J]. 中国人口科学, 2012,(5):2-13; [4] 彭国华. 技术能力匹配、劳动力流动与中国地区差距[J]. 经济研究, 2015,50(1):99-110; [5] 王格玮. 地区间收入差距对农村劳动力迁移的影响——基于第五次全国人口普查数据的研究[J]. 经济学(季刊), 2004, (13):77-98; [6] 朱金鹤,王雅莉,侯林岐. 文明城市评比何以促进劳动力流入?——来自地级市的准自然实验证据[J]. 产业经济研究, 2021,(3):43-56; [7] Fair R. C. Disequilibrium in Housing Models[J]. The Journal of Finance, 1972,27(2):207-221; [8] Pissarides C. A., McMaster I. Regional Migration, Wages and Unemployment:Empirical Evidence and Implications for Policy[J]. Oxford Economic Papers, 1990,42(4):812-831; [9] 李祥妹,刘亚洲,曹丽萍. 高速铁路建设对人口流动空间的影响研究[J]. 中国人口·资源与环境, 2014,(6):140-147; [10] 夏怡然,陆铭. 城市间的"孟母三迁"——公共服务影响劳动力流向的经验研究[J]. 管理世界, 2015,(10):78-90; [11] 肖挺. 环境质量是劳动人口流动的主导因素吗?——"逃离北上广"现象的一种解读[J]. 经济评论, 2016,(2):3-17; [12] 刘毓芸,徐现祥,肖泽凯. 劳动力方言流动的倒U型模式[J]. 经济研究, 2015,50(10):134-162; [13] 曹晖,罗楚亮. 为了机会公平而流动——收入代际传递对劳动力流入的影响[J]. 劳动经济研究, 2021,9(1):3-26; [14] 张莉,何晶,马润泓. 房价如何影响劳动力流动?[J]. 经济研究, 2017,52(8):155-170; [15] 赵涛,张智,梁上坤. 数字经济、创业活跃度与高质量发展——来自中国城市的经验证据[J]. 管理世界, 2020,36(10):65-76; [16] 马青山,何凌云,袁恩宇. 新兴基础设施建设与城市产业结构升级——基于"宽带中国"试点的准自然实验[J]. 财经科学, 2021,(4):76-90; [17] 薛成,孟庆玺,何贤杰. 网络基础设施建设与企业技术知识扩散——来自"宽带中国"战略的准自然实验[J]. 财经研究, 2020,46(4):48-62; [18] Korinek A., Stiglitz J. E. Artificial Intelligence and It' s Implications for Income Distribution and Unemployment[R]. NBER Working Paper, 2017; [19] Brynjolfsson E., Mitchell T., Rock D. What can Machines Learn, and What does It Mean for Occupations and the Economy?[J]. AEA Papers and Proceedings, 2018,108:43-47; [20] Acemoglu D., Restrepo P. Automation and New Tasks:How Technology Displaces and Reinstates Labor[J]. Journal of Economic Perspectives, 2019,33(2):3-30; [21] 施炳展,李建桐. 互联网是否促进了分工:来自中国制造业企业的证据[J]. 管理世界, 2020,36(4):130-149; [22] Katz L. F., Autor D. H. Changes in the Wage Structure and Earnings Inequality[J]. Handbook of Labor Economics, 1999,3:1463-1555; [23] Goldin C., Katz L. F. Transitions:Career and Family Life Cycles of the Educational Elite[J]. American Economic Review, 2008,98(2):363-369; [24] Goldin C., Katz L. F. The Future of Inequality:The Other Reason Education Matters So Much[J]. Aspen Institute Congressional Program, 2009,24(4):7-14; [25] Acemoglu D., Autor D. H. Skills, Tasks and Technologies:Implications for Employment and Earnings[J]. Handbook of Labor Economics, 2011,4B:1043-1171; [26] Acemoglu D., Restrepo P. Robots and Jobs:Evidence from US Labor Markets[R]. NBER Working Papers, 2017; [27] 杨蕙馨,李春梅. 中国信息产业技术进步对劳动力就业及工资差距的影响[J]. 中国工业经济, 2013,(1):51-63; [28] 宁光杰,林子亮. 信息技术应用、企业组织变革与劳动力技能需求变化[J]. 经济研究, 2014,49(8):79-92; [29] 王子敏. 互联网、技能偏向与农村流动人口就业[J]. 人口与经济, 2017,(2):107-115; [30] Goos M., Manning A. McJobs., MacJobs:The Growing Polarisation of Jobs in the UK[M]//The Labour Market under New Labour. London:Palgrave Macmillan, 2003; [31] Autor D. H., Katz L. F., Kearney M. S. The Polarization of the U.S. Labor Market[J]. American Economic Review, 2006,96(2):189-194; [32] Dustmann C., Ludsteck J., Schönberg U. Revisiting the German Wage Structure[J]. The Quartely Journal of Ecconomics, 2009, 124(2):843-881; [33] Michaels G., Natraj A., Reenen J. V. Has ICT Polarized Skill Demand? Evidence from Eleven Countries over Twenty-Five Years[J]. Review of Economics and Statistics, 2014,96(1):60-77; [34] 高文静. 偏向型技术进步与技能溢价关系研究动态[J]. 劳动经济评论, 2017,(2):58-74; [35] Mazzolari F., Ragusa G. Spillovers from High-Skill Consumption to Low-Skill Labor Markets[J]. Review of Economics and Statistics, 2013,95(1):74-86; [36] Borjas G. J., Friedberg R. M. The Immigrant Earnings of New Immigrants to the United States[R]. NBER Working Raper, 2009; [37] Moretti E. Human Capital Externalities in Cities[M]. Handbook of Regional and Urban Economics. Amsterdam, North Holland:Elsevier, 2004; [38] Moretti E. Estimating the Social Return to Higher Education:Evidence from Longitudinal and Repeated Cross-sectional Data[J]. Journal of Econometrics, 2004,121(1-2):175-212; [39] Moretti E. Workers' Education,Spillovers and Productivity:Evidence from Plant-Level Production Functions[J]. American Economic Review, 2004,94(3):656-690; [40] Shapiro J. M. Smart Cities:Quality of Life, Productivity, and the Growth Effects of Human Capital[J]. Review of Economics and Statistics, 2006,88(2):324-335; [41] Rosenthal S. S., Strange W. C. The Attenuation of Human Capital Spillovers[J]. Journal of Urban Economics, 2008,64(2):373-389; [42] Iranzo S., Peri G. Schooling Externalities, Technology, and Productivity:Theory and Evidence from US States[J]. The Review of Economics and Statistics, 2009,91(2):420-431; [43] Dekker R., Engbersen G. How Social Media Transform Migrant Networks and Facilitate Migration[J]. Global Networks, 2014,14(4):401-418; [44] Dekker R., Engbersen G., Faber M. The Use of Online Media in Migration Networks[J]. Population, Space and Place, 2016,22(6):539-551; [45] 马俊龙,宁光杰. 互联网与中国农村劳动力非农就业[J]. 财经科学, 2017,(7):50-63; [46] Steinfield C., Ellison N. B., Lampe C. Social Capital, Self-esteem, and Use of Online Social Network Sites:A Longitudinal Analysis[J]. Journal of Applied Developmental Psychology, 2008,29(6):434-445; [47] DiMaggio P., Bonikowski B. Make Money Surfing the Web? The Impact of Internet Use on the Earnings of U.S. Workers[J]. American Sociological Review, 2008,73(2):227-250; [48] Gronau R. Leisure, Home Production, and Work——The Theory of the Allocation of Time Revisited[J]. Journal of Political Economy, 1977,85(6):1099-1124; [49] Becker G. S. A Theory of the Allocation of Time[J]. The Economic Journal, 1965,75(299):493-517; [50] Manning A. We can Work It Out:The Impact of Technological Change on the Demand for Low-Skill Workers[J]. Scottish Journal of Political Economy,2004,51(5):581-608; [51] Autor D. H., Dorn D. The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market[J]. American Economic Review, 2013,103(5):1553-1597; [52] 孙伟增,张晓楠,郑思齐. 空气污染与劳动力的空间流动——基于流动人口就业选址行为的研究[J]. 经济研究, 2019,54(11):102-117; [53] 黄群慧,余泳泽,张松林. 互联网发展与制造业生产率提升:内在机制与中国经验[J]. 中国工业经济, 2019,(8):5-23; [54] 郭家堂,骆品亮. 互联网对中国全要素生产率有促进作用吗?[J]. 管理世界, 2016,(10):34-49; [55] 卢福财,徐远彬. 互联网对制造业劳动生产率的影响研究[J]. 产业经济研究, 2019,(4):1-11; [56] 肖利平. "互联网+"提升了我国装备制造业的全要素生产率吗?[J]. 经济学家, 2018,(12):38-46; [57] 陆铭,高虹,佐藤宏. 城市规模与包容性就业[J]. 中国社会科学, 2012,(10):47-66; [58] 张海峰,林细细,梁若冰,等. 城市生态文明建设与新一代劳动力流动——劳动力资源竞争的新视角[J]. 中国工业经济, 2019,(1):81-97; [59] Cheng S. How can Western China Attract FDI? A Case of Japanese Investment[J]. The Annals of Regional Science, 2008,42(2):357-374; [60] 余珮,孙永平. 集聚效应对跨国公司在华区位选择的影响[J]. 经济研究, 2011,46(1):71-82; [61] 周洋,华语音. 互联网与农村家庭创业——基于CFPS数据的实证分析[J]. 农业技术经济, 2017,(5):111-119; [62] 史晋川,王维维. 互联网使用对创业行为的影响——基于微观数据的实证研究[J]. 浙江大学学报(人文社会科学版), 2017,(4):159-175; [63] 周广肃,樊纲. 互联网使用与家庭创业选择——来自CFPS数据的验证[J]. 经济评论, 2018,(5):134-147; [64] Winkler H. How does the Internet Affect Migration Decisions?[J]. Applied Economics Letters, 2017,24(16):1194-1198; [65] 王娟. "互联网+"与劳动生产率:基于中国制造业的实证研究[J]. 财经科学, 2016,(11):91-98; [66] 秦昕,张翠莲,马力,等. 从农村到城市:农民工的城市融合影响模型[J]. 管理世界, 2011,(10):48-57; [67] 张文宏,雷开春. 城市新移民社会认同的结构模型[J]. 社会学研究, 2009,24(4):61-87; [68] 王胜今,许世存. 流入人口社会融入感的结构与影响因素分析——基于吉林省的调查数据[J]. 人口学刊, 2013,(1):5-14 |