2201 
2050把握新技术革命发展机遇，推动产业智能化升级，对于新形势下实现经济高质量发展具有重要作用。文章基于2003—2019年中国283个地级市数据和网络爬虫获得的企业微观数据构建城市产业智能化指数，采用社会网络分析方法考察产业智能化的空间关联网络特征；此外，运用机器学习中的极限梯度提升树算法（
中国城市产业智能化空间关联网络及其驱动机制
摘要
参考文献
摘要
1 白俊红,蒋伏心. 协同创新、空间关联与区域创新绩效[J]. 经济研究,2015,(7):174−187.
4 郭凯明. 人工智能发展、产业结构转型升级与劳动收入份额变动[J]. 管理世界,2019,(7):60−77. DOI:10.3969/j.issn.1002-5502.2019.07.007
8 林毅夫,付才辉. 新结构经济学导论(上册)[M]. 北京:高等教育出版社,2019.
16 宣旸,张万里. 产业智能化、收入分配与产业结构升级[J]. 财经科学,2021,(5):103−118.
20 张万里,宣旸. 产业智能化对产业结构升级的空间溢出效应——劳动力结构和收入分配不平等的调节作用[J]. 经济管理,2020,(10):77−101. DOI:10.19616/j.cnki.bmj.2020.10.005
23 中国社会科学院工业经济研究所课题组. 提升产业链供应链现代化水平路径研究[J]. 中国工业经济,2021,(2):80−97.
24 周华蓉,刘友金,贺胜兵. “新雁行模式”理论与“一带一路”产业发展[J]. 财经研究,2022,(8):78−93.
25 Acemoglu D,Restrepo P. The race between man and machine:Implications of technology for growth,factor shares,and employment[J]. American Economic Review,2018,108(6):1488−1542. DOI:10.1257/aer.20160696
26 Acemoglu D,Restrepo P. Automation and new tasks:How technology displaces and reinstates labor[J]. Journal of Economic Perspectives,2019,33(2):3−30. DOI:10.1257/jep.33.2.3
27 Acemoglu D,Restrepo P. Robots and jobs:Evidence from US labor markets[J]. Journal of Political Economy,2020,128(6):2188−2244. DOI:10.1086/705716
28 Aghion P,Jones B F,Jones C I. Artificial intelligence and economic growth[R]. NBER Chapters No. 14015,2018.
29 Autor D,Salomons A. Is automation labor-displacing? Productivity growth,employment,and the labor share[R]. NBER Working Paper No. 24871,2018.
30 Capello R,Lenzi C. Spatial heterogeneity in knowledge,innovation,and economic growth nexus:Conceptual reflections and empirical evidence[J]. Journal of Regional Science,2014,54(2):186−214. DOI:10.1111/jors.12074
31 Castells M. The informational city:Information technology,economic restructuring,and the urban-regional process[M]. Oxford:Basil Blackwell,1989.
32 Cockburn I M,Henderson R,Stern S. The impact of artificial intelligence on innovation[R]. NBER Working Paper No. 24449,2018.
33 Derudder B,Taylor P,Ni P F,et al. Pathways of change:Shifting connectivities in the world city network,2000-08[J]. Urban Studies,2010,47(9):1861−1877. DOI:10.1177/0042098010372682
34 Graetz G,Michaels G. Robots at work[J]. The Review of Economics and Statistics,2018,100(5):753−768. DOI:10.1162/rest_a_00754
35 Hubmer J,Restrepo P. Not a typical firm:The joint dynamics of firms,labor shares,and capital-labor substitution[R]. NBER Working Paper No. 28579,2021.
36 Korinek A,Stiglitz J E. Artificial intelligence,globalization,and strategies for economic development[R]. NBER Working Paper No. 28453,2021.
37 Krivitsky P N,Hunter D R,Morris M,et al. ergm 4:New features for analyzing exponential-family random graph models[J]. Journal of Statistical Software,2023,105(6):1−44.
38 Krugman P. Increasing returns and economic geography[J]. Journal of Political Economy,1991,99(3):483−499. DOI:10.1086/261763
39 McCann P,Acs Z J. Globalization:Countries,cities and multinationals[J]. Regional Studies,2011,45(1):17−32. DOI:10.1080/00343404.2010.505915
40 Orlic E,Hashi I,Hisarciklilar M. Cross sectoral FDI spillovers and their impact on manufacturing productivity[J]. International Business Review,2018,27(4):777−796. DOI:10.1016/j.ibusrev.2018.01.002
41 Shepherd B,Stone S. Imported intermediates,innovation,and product scope:Firm-level evidence from developing countries[R]. MPRA Paper No. 41704,2012.
42 Wang S T,Liu S Y,Zhang J K,et al. A new method of diesel fuel brands identification:SMOTE oversampling combined with XGBoost ensemble learning[J]. Fuel,2020,282:118848. DOI:10.1016/j.fuel.2020.118848
43 Ye Z P,Yang J Q,Zhong N,et al. Tackling environmental challenges in pollution controls using artificial intelligence:A review[J]. Science of the Total Environment,2020,699:134279. DOI:10.1016/j.scitotenv.2019.134279
引用本文
罗良文, 张郑秋. 中国城市产业智能化空间关联网络及其驱动机制[J]. 财经研究, 2024, 50(1): 109-123.
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