通向可持续发展之路：数字化转型与企业异地合作创新* -- 上海财经大学期刊社

1 陈剑, 黄朔, 刘运辉. 从赋能到使能−数字化环境下的企业运营管理[J]. 管理世界,2020,(2):117−128. DOI:10.3969/j.issn.1002-5502.2020.02.011

2 陈胜蓝, 刘晓玲. 中国城际高铁与公司客户集中度−基于准自然实验的证据[J]. 南开经济研究,2020,(3):41−60.

3 陈晓红, 李杨扬, 宋丽洁, 等. 数字经济理论体系与研究展望[J]. 管理世界,2022,(2):208−224. DOI:10.3969/j.issn.1002-5502.2022.02.014

4 李建成, 程玲, 吴明琴. 政府协调下的市场整合与企业创新伙伴选择[J]. 世界经济,2022,(4):187−216.

5 聂兴凯, 王稳华, 裴璇. 企业数字化转型会影响会计信息可比性吗[J]. 会计研究,2022,(5):17−39. DOI:10.3969/j.issn.1003-2886.2022.05.002

6 戚聿东, 肖旭. 数字经济时代的企业管理变革[J]. 管理世界,2020,(6):135−152.

7 舒伟, 曹晶, 曹健, 等. 企业信息化投入能够抑制盈余管理吗?−基于中国A股上市公司的经验证据[J]. 苏州大学学报(哲学社会科学版),2021,(5):115−127.

8 王林辉, 姜昊, 董直庆. 工业智能化会重塑企业地理格局吗[J]. 中国工业经济,2022,(2):137−155. DOI:10.3969/j.issn.1006-480X.2022.02.009

9 王如玉, 梁琦, 李广乾. 虚拟集聚: 新一代信息技术与实体经济深度融合的空间组织新形态[J]. 管理世界,2018,(2):13−21. DOI:10.3969/j.issn.1002-5502.2018.02.002

10 吴非, 胡慧芷, 林慧妍, 等. 企业数字化转型与资本市场表现−来自股票流动性的经验证据[J]. 管理世界,2021,(7):130−144. DOI:10.3969/j.issn.1002-5502.2021.07.010

11 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,(4):48−62.

12 赵宸宇, 王文春, 李雪松. 数字化转型如何影响企业全要素生产率[J]. 财贸经济,2021,(7):114−129. DOI:10.3969/j.issn.1002-8102.2021.07.008

13 种照辉, 高志红, 覃成林. 网络基础设施建设与城市间合作创新−“宽带中国”试点及其推广的证据[J]. 财经研究,2022,(3):79−93.

14 朱斌. 自私的慈善家−家族涉入与企业社会责任行为[J]. 社会学研究,2015,(2):74−97.

15 Andersson D, Berger T, Prawitz E. Making a market: Infrastructure, integration, and the rise of innovation[J]. The Review of Economics and Statistics,2021: 1−44. DOI:10.1162/rest_a_01067

16 Beneish M D, Press E, Vargus M E. Insider trading and earnings management in distressed firms[J]. Contemporary Accounting Research,2012,29(1): 191−220. DOI:10.1111/j.1911-3846.2011.01084.x

17 Boschma R. Proximity and innovation: A critical assessment[J]. Regional Studies,2005,39(1): 61−74. DOI:10.1080/0034340052000320887

18 Bottazzi L, Peri G. Innovation and spillovers in regions: Evidence from European patent data[J]. European Economic Review,2003,47(4): 687−710. DOI:10.1016/S0014-2921(02)00307-0

19 Cassi L, Plunket A. Research collaboration in Co-inventor networks: Combining closure, bridging and proximities[J]. Regional Studies,2015,49(6): 936−954. DOI:10.1080/00343404.2013.816412

20 Chen H J, Xie F J. How technological proximity affect collaborative innovation? An empirical study of China's Beijing-Tianjin-Hebei region[J]. Journal of Management Analytics,2018,5(4): 287−308. DOI:10.1080/23270012.2018.1478329

21 Elfenbein D W. Publications, patents, and the market for university inventions[J]. Journal of Economic Behavior & Organization,2007,63(4): 688−715.

22 Feldman M P. The geography of innovation[M]. Dordrecht: Springer, 1994.

23 Ferretti M, Guerini M, Panetti E, et al. The partner next door? The effect of micro-geographical proximity on intra-cluster inter-organizational relationships[J]. Technovation,2022,111: 102390. DOI:10.1016/j.technovation.2021.102390

24 Furr N, Shipilov A. Digital doesn't have to be disruptive: The best results can come from adaptation rather than reinvention[J]. Harvard Business Review,2019,97(4): 94−103.

25 Giuliani E, Bell M. The micro-determinants of meso-level learning and innovation: Evidence from a Chilean wine cluster[J]. Research Policy,2005,34(1): 47−68. DOI:10.1016/j.respol.2004.10.008

26 Goldfarb A, Tucker C. Digital economics[J]. Journal of Economic Literature,2019,57(1): 3−43. DOI:10.1257/jel.20171452

27 Gust G, Neumann D, Flath C M, et al. How a traditional company seeded new analytics capabilities[J]. MIS Quarterly Executive,2017,16(3): 215−230.

28 Hanley D, Li J C, Wu M Q. High-speed railways and collaborative innovation[J]. Regional Science and Urban Economics,2022,93: 103717. DOI:10.1016/j.regsciurbeco.2021.103717

29 Hansen R, Sia S K. Hummel's digital transformation toward omnichannel retailing: Key lessons learned[J]. MIS Quarterly Executive,2015,14(2): 51−66.

30 Heringa P W, Hessels L K, van der Zouwen M. The influence of proximity dimensions on international research collaboration: An analysis of European water projects[J]. Industry and Innovation,2016,23(8): 753−772. DOI:10.1080/13662716.2016.1215240

31 Hui K W, Klasa S, Yeung P E. Corporate suppliers and customers and accounting conservatism[J]. Journal of Accounting and Economics,2012,53(1-2): 115−135. DOI:10.1016/j.jacceco.2011.11.007

32 Mattes J. Dimensions of proximity and knowledge bases: Innovation between spatial and non-spatial factors[J]. Regional Studies,2012,46(8): 1085−1099. DOI:10.1080/00343404.2011.552493

33 Newell S, Marabelli M. Strategic opportunities (and challenges) of algorithmic decision-making: A call for action on the long-term societal effects of ‘datification’[J]. The Journal of Strategic Information Systems,2015,24(1): 3−14. DOI:10.1016/j.jsis.2015.02.001

34 Porter M E, Heppelmann J E. How smart, connected products are transforming competition[J]. Harvard Business Review,2014,92(11): 64−88.

35 Rios-Avila F, Canavire-Bacarreza G. Standard-error correction in two-stage optimization models: A quasi–maximum likelihood estimation approach[J]. The Stata Journal:Promoting communications on statistics and Stata,2018,18(1): 206−222. DOI:10.1177/1536867X1801800113

36 Steinmo M, Rasmussen E. How firms collaborate with public research organizations: The evolution of proximity dimensions in successful innovation projects[J]. Journal of Business Research,2016,69(3): 1250−1259. DOI:10.1016/j.jbusres.2015.09.006

37 Sun L Y, Abraham S. Estimating dynamic treatment effects in event studies with heterogeneous treatment effects[J]. Journal of Econometrics,2021,225(2): 175−199. DOI:10.1016/j.jeconom.2020.09.006

38 Wang Y M, Cao G H, Yan Y L, et al. Does high-speed rail stimulate cross-city technological innovation collaboration? Evidence from China[J]. Transport Policy,2022,116: 119−131. DOI:10.1016/j.tranpol.2021.11.024

39 Wooldridge J M. Quasi-maximum likelihood estimation and testing for nonlinear models with endogenous explanatory variables[J]. Journal of Econometrics,2014,182(1): 226−234. DOI:10.1016/j.jeconom.2014.04.020

40 Yao L, Li J. Intercity innovation collaboration and the role of high-speed rail connections: Evidence from Chinese Co-patent data[J]. Regional Studies,2022,56(11): 1845−1857. DOI:10.1080/00343404.2021.2008340