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195基于资源基础观，以2012—2023年中国沪深A股上市公司数据为样本，实证检验智能制造对企业绿色双元创新的差异化影响，并探究绿色投资者和环境规制对该影响的调节作用。研究发现：（1）智能制造能够推动企业绿色双元创新的提升，且相比绿色探索式创新，智能制造对绿色利用式创新的促进作用更为突出。在稳健性检验和内生性检验后，该结论依然成立。（2）绿色投资者对智能制造与绿色双元创新之间的关系起到强化作用，并且更明显地增强了智能制造对绿色利用式创新的影响。相比之下，环境规制则在一定程度上削弱了智能制造对绿色双元创新的促进作用，尽管这种削弱作用在不同维度的创新之间并无明显差异。（3）异质性分析显示，在非高科技行业、大规模企业以及实施智能制造专项试点政策的情境下，智能制造更有助于促进企业的绿色双元创新。本文的研究发现不仅拓展了智能制造与绿色创新关系的研究文献，还为企业管理者通过采用智能制造来促进绿色双元创新提供了重要的管理启示。
智能制造对企业绿色双元创新的差异化影响
摘要
参考文献
1 柏培文, 张云. 数字经济、人口红利下降与中低技能劳动者权益[J]. 经济研究, 2021, 56(5): 91-108.
2 池仁勇, 梅小苗, 阮鸿鹏. 智能制造与中小企业组织变革如何匹配?[J]. 科学学研究, 2020, 38(7): 1244-1250,1324. DOI:10.3969/j.issn.1003-2053.2020.07.011
3 龚军姣, 邱旋, 徐扬. 碳交易市场对企业全要素生产率的影响——绿色双元创新的中介效应[J]. 南京财经大学学报, 2024, (5): 78-88. DOI:10.20211/j.cnki.jnufe.2024.05.008
4 谷城, 张树山. 智能制造何以实现企业绿色创新“增量提质”[J]. 产业经济研究, 2023, (1): 129-142.
5 贺佳, 王分棉, 孙宛霖, 等. “反向混改”何以影响民营企业实质性绿色创新?——基于制度理论的视角[J]. 外国经济与管理, 2025, 47(2): 69-83.
6 侯翠梅, 苏杭. 智能化转型对企业创新绩效的影响研究——基于数字化能力的视角[J]. 工程管理科技前沿, 2023, 42(2): 83-89. DOI:10.11847/fj.42.2.83
7 胡江峰, 黄庆华, 潘欣欣. 碳排放交易制度与企业创新质量: 抑制还是促进[J]. 中国人口•资源与环境, 2020, 30(2): 49-59.
8 胡楠, 薛付婧, 王昊楠. 管理者短视主义影响企业长期投资吗?——基于文本分析和机器学习[J]. 管理世界, 2021, 37(5): 139-156. DOI:10.3969/j.issn.1002-5502.2021.05.012
9 黄卓, 陶云清, 刘兆达, 等. 智能制造如何提升企业产能利用率——基于产消合一的视角[J]. 管理世界, 2024, 40(5): 40-57. DOI:10.3969/j.issn.1002-5502.2024.05.003
10 惠丽丽, 谢获宝. 智能制造、创新文化与企业成本粘性[J]. 管理评论, 2024, 36(5): 178-193.
11 姜广省, 卢建词, 李维安. 绿色投资者发挥作用吗?——来自企业参与绿色治理的经验研究[J]. 金融研究, 2021, (5): 117-134.
12 刘荣增, 何春. 环境规制对城镇居民收入不平等的门槛效应研究[J]. 中国软科学, 2021, (8): 41-52.
13 马美婷, 吴小节, 汪秀琼. 高管团队技术印记与企业绿色双元创新——环境注意力的中介作用[J]. 系统管理学报, 2023, 32(5): 976-994. DOI:10.3969/j.issn1005-2542.2023.05.009
14 毛其淋, 石步超. 通向绿色发展之路: 智能制造与企业绿色转型[J]. 世界经济, 2024, 47(9): 152-182.
15 倪娟, 赵晓梦, 唐国平. 环境规制强度测算方法研究新进展及展望[J]. 国外社会科学, 2020, 7(2): 64-75.
16 沈灏, 魏泽龙, 苏中锋. 绿色管理研究前沿探析与未来展望[J]. 外国经济与管理, 2010, 32(11): 18-25. DOI:10.16538/j.cnki.fem.2010.11.004
17 谭瑾, 徐光伟, 权小锋. 环境规制战略引领与企业跨地区投资[J]. 外国经济与管理, 2025, 47(6): 135-152. DOI:10.16538/j.cnki.fem.20250401.202
18 王琳, 周昕怡, 张心舒, 等. 分合有术: 创新型制造企业如何应对双元创新悖论?——基于圣泉集团的单案例研究[J]. 研究与发展管理, 2025, 37(4): 6-20.
19 王少飞, 张勇, 王禹禛. 环境规制与企业并购决策——来自重污染行业的经验证据[J]. 外国经济与管理, 2024, 46(12): 88-100. DOI:10.16538/j.cnki.fem.20241024.205
20 王伟光, 韩旭. 国际化速度、双元创新与“专精特新”企业绩效——基于115家中国制造业单项冠军上市企业的实证研究[J]. 外国经济与管理, 2023, 45(10): 51-67. DOI:10.16538/j.cnki.fem.20230405.101
21 王雪璐. 数字化转型对战略性新兴产业双元创新的影响: 基于“智能制造试点示范专项行动”的准自然实验[J]. 中国软科学, 2024, (11): 201-211. DOI:10.3969/j.issn.1002-9753.2024.11.018
22 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, 37(7): 130-144. DOI:10.3969/j.issn.1002-5502.2021.07.010
23 吴小节, 马美婷, 汪秀琼. 智能制造研究述评[J]. 研究与发展管理, 2023, 35(6): 32-45.
24 席龙胜, 赵辉. 高管双元环保认知、绿色创新与企业可持续发展绩效[J]. 经济管理, 2022, 44(3): 139-158. DOI:10.19616/j.cnki.bmj.2022.03.009
25 解学梅, 韩宇航. 本土制造业企业如何在绿色创新中实现“华丽转型”?——基于注意力基础观的多案例研究[J]. 管理世界, 2022, 38(3): 76-106.
26 尹洪英, 李闯. 智能制造赋能企业创新了吗?——基于中国智能制造试点项目的准自然试验[J]. 金融研究, 2022, (10): 98-116.
27 余倩, 詹新宇. 数字技术何以驱动企业创新: 非对称驱动效应与机制解析[J]. 经济评论, 2025, (4): 101-116.
28 曾经纬, 李柏洲. 组态视角下企业绿色双元创新驱动路径[J]. 中国人口•资源与环境, 2022, 32(2): 151-161.
29 Asiaei K, O'connor N G, Barani O, et al. Green intellectual capital and ambidextrous green innovation: The impact on environmental performance[J]. Business Strategy and the Environment, 2023, 32(1): 369-386. DOI:10.1002/bse.3136
30 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. DOI:10.1257/aer.103.5.1553
31 Barney J. Firm resources and sustained competitive advantage[J]. Journal of Management, 1991, 17(1): 99-120. DOI:10.1177/014920639101700108
32 Cheng P, Zhang J Y, Chen J Y, et al. Stakeholder attention and ambidextrous green innovation: Evidence from China[J]. Business Strategy and the Environment, 2025, 34(1): 1007-1026. DOI:10.1002/bse.4032
33 Chu Y L, Wu J L, Gu J B. How does green intellectual capital promote green innovation? The mediating role of green dynamic capability and the moderating role of organisational slack[J]. Business Strategy and the Environment, 2025, 34(6): 7469-7487. DOI:10.1002/bse.4357
34 Cohen J, Cohen P, West S G, et al. Applied multiple regression/correlation analysis for the behavioral sciences[M]. 3rd ed. New York: Routledge, 2003.
35 Cui R X, Xia E J, Guo X L. Antecedent configurations toward radical green innovation: Based on resource orchestration theory[J]. Technological Forecasting and Social Change, 2025, 214: 124038. DOI:10.1016/j.techfore.2025.124038
36 El-Kassar A N, Singh S K. Green innovation and organizational performance: The influence of big data and the moderating role of management commitment and HR practices[J]. Technological Forecasting and Social Change, 2019, 144: 483-498. DOI:10.1016/j.techfore.2017.12.016
37 Eyraud L, Clements B, Wane A. Green investment: Trends and determinants[J]. Energy Policy, 2013, 60: 852-865. DOI:10.1016/j.enpol.2013.04.039
38 Freeman R E. Strategic management: A stakeholder approach[M]. Cambridge: Cambridge University Press, 2010.
39 Goldfarb A, Tucker C. Digital economics[J]. Journal of Economic Literature, 2019, 57(1): 3-43. DOI:10.1257/jel.20171452
40 Grant R M. The resource-based theory of competitive advantage: Implications for strategy formulation[J]. California Management Review, 1991, 33(3): 114-135. DOI:10.2307/41166664
41 Haylemariam L G, Umar R M, Oduro S. Modeling the role of big data analytics capabilities in impacting corporate environmental performance: A serial mediation analysis[J]. Business Strategy and the Environment, 2025, 34(6): 7791-7815. DOI:10.1002/bse.4373
42 Huang Y J, Zhang G Q, Chen X F, et al. From awareness to action: The role of ESG committees in driving corporate ambidextrous green innovation[J]. Energy Economics, 2025, 150: 108835. DOI:10.1016/j.eneco.2025.108835
43 Javed A, Li Q, Basit A. Enhancing ambidextrous green innovation: The role of green supply chain integration, knowledge capabilities and technology dynamism in manufacturing[J]. Journal of Manufacturing Technology Management, 2025, 36(2): 431-454. DOI:10.1108/JMTM-08-2024-0437
44 Jin M H, Chen Y. Has green innovation been improved by intelligent manufacturing?—Evidence from listed Chinese manufacturing enterprises[J]. Technological Forecasting and Social Change, 2024, 205: 123487. DOI:10.1016/j.techfore.2024.123487
45 Kusiak A. Editorial: Intelligent manufacturing: Bridging two centuries[J]. Journal of Intelligent Manufacturing, 2019, 30(1): 1-2. DOI:10.1007/s10845-018-1455-2
46 March J G. Exploration and exploitation in organizational learning[J]. Organization Science, 1991, 2(1): 71-87. DOI:10.1287/orsc.2.1.71
47 Schwab K, Davis N. Shaping the future of the fourth industrial revolution[M]. New York : Crown Currency, 2018.
48 Shehzad M U, Zhang J H, Dost M, et al. Linking green intellectual capital, ambidextrous green innovation and firms green performance: Evidence from Pakistani manufacturing firms[J]. Journal of Intellectual Capital, 2023a, 24(4): 974-1001.
49 Shehzad M U, Zhang J H, Latif K F, et al. Do green entrepreneurial orientation and green knowledge management matter in the pursuit of ambidextrous green innovation: A moderated mediation model[J]. Journal of Cleaner Production, 2023b, 388: 135971.
50 Teece D J, Pisano G, Shuen A. Dynamic capabilities and strategic management[J]. Strategic Management Journal, 1997, 18(7): 509-533. DOI:10.1002/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z
51 Tezel A, Koskela L, Tzortzopoulos P. Visual management in production management: A literature synthesis[J]. Journal of Manufacturing Technology Management, 2016, 27(6): 766-799. DOI:10.1108/JMTM-08-2015-0071
52 Tina Dacin M, Goodstein J, Richard Scott W. Institutional theory and institutional change: Introduction to the special research forum[J]. The Academy of Management Journal, 2002, 45(1): 45-56. DOI:10.2307/3069284
53 Tornatzky L G, Fleischer M, Chakrabarti A K. The processes of technological innovation[M]. Lexington: Lexington Books, 1990.
54 Wan X, Chun S, Xue S, et al. The causal and interactive approach to drive sustainability: Role of green dynamic capabilities, ambidextrous green innovation strategy and resource orchestration capability[J]. Business Process Management Journal, 2025 DOI: 10.1108/BPMJ-01-2025-0041.
55 Wang J R, Xue Y J, Sun X L, et al. Green learning orientation, green knowledge acquisition and ambidextrous green innovation[J]. Journal of Cleaner Production, 2020, 250: 119475. DOI:10.1016/j.jclepro.2019.119475
56 Wei X H, Jiang F, Chen Y, et al. Towards green development: The role of intelligent manufacturing in promoting corporate environmental performance[J]. Energy Economics, 2024, 131: 107375. DOI:10.1016/j.eneco.2024.107375
57 Yang H C, Li L S, Liu Y B. The effect of manufacturing intelligence on green innovation performance in China[J]. Technological Forecasting and Social Change, 2022, 178: 121569. DOI:10.1016/j.techfore.2022.121569
58 Zhang W, Ye S Q, Mangla S K, et al. Smart platforming in automotive manufacturing for NetZero: Intelligentization, green technology, and innovation dynamics[J]. International Journal of Production Economics, 2024, 274: 109289. DOI:10.1016/j.ijpe.2024.109289
59 Zhong X, Zhang Y F. Digital transformation speed and firms' ambidextrous green innovation: Do employee stock ownership and education levels matter?[J]. Technology in Society, 2025, 83: 103024. DOI:10.1016/j.techsoc.2025.103024
60 Zhu M H, Liang C, Yeung A C L, et al. The impact of intelligent manufacturing on labor productivity: An empirical analysis of Chinese listed manufacturing companies[J]. International Journal of Production Economics, 2024, 267: 109070. DOI:10.1016/j.ijpe.2023.109070
引用本文
丁振阔, 李文艳, 王曦, 等. 智能制造对企业绿色双元创新的差异化影响[J]. 外国经济与管理, 2026, 48(7): 100-116.
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