Digital Literacy of Managers and Green Technology Innovation of Enterprises

doi:10.16382/j.cnki.1000-5579.2023.06.011

Abstract

Abstract:

In this paper, individual digital literacy is embedded in enterprise management practice to explore the relationship between managers’ digital literacy and enterprise green technology innovation performance. It shows that the digital literacy of managers is conducive to enterprise green technology innovation. The higher the digital literacy level of senior management team, the better the enterprise green technology innovation performance. Even if the manager does not have the educational background of core digital technology, his work experience in the field of computer, information technology and other core digital technology will help promote the green technology innovation of the enterprise in the later stage. This promotion effect has a heterogeneous effect, which is more significant in the enterprises in regions with low development level of digital economy, high media attention and non-heavy polluting enterprises. Enterprise digital transformation plays an intermediary role between managers’ digital literacy and enterprise green technology innovation. Further research finds that managers’ digital literacy contributes to the enhancement of enterprise value in the future. This study has enriched the research horizon of the upper echelon theory, explored the value and differentiated impact of digital human capital in the new era, and provided micro-level empirical evidence for the green and sustainable development of economy promoted by digital technology.

Key words: digital literacy of managers, digital transformation, green technology innovation, management team, upper echelon theory

Xia WANG, Jia-qi WU. Digital Literacy of Managers and Green Technology Innovation of Enterprises[J]. Journal of East China Normal University (Philosophy and Social Sciences), 2023, 55(6): 120-138.

Figures/Tables 11

References 0

	艾永芳、孔涛, 2021, 《区域大数据发展能促进企业绿色创新吗?》, 《中南财经政法大学学报》第6期, 第116—126页.
	曹洪军、陈泽文, 2017, 《内外环境对企业绿色创新战略的驱动效应——高管环保意识的调节作用》, 《南开管理评论》第6期, 第95—103页.
	耿荣娜, 2020, 《信息化时代大学生数字素养教育的关键影响因素研究》, 《情报科学》第 9期, 第42—48页.
	李青原、肖泽华, 2020, 《异质性环境规制工具与企业绿色创新激励——来自上市企业绿色专利的证据》, 《经济研究》第 9期, 第192—208页.
	李晓静、陈哲、夏显力, 2022, 《数字素养对农户创业行为的影响——基于空间杜宾模型的分析》, 《中南财经政法大学学报》第1期, 第123—134页.
	李心斐、程宝栋、许恒、李芳芳, 2020, 《高管“海归”背景有助于企业社会责任履行吗?》, 《经济管理》第11期, 第56—72页.
	连玉君、彭方平、苏治, 2010, 《融资约束与流动性管理行为》, 《金融研究》第10期, 第158—171页.
	林毅夫、姜烨, 2006, 《发展战略、经济结构与银行业结构: 来自中国的经验》, 《管理世界》第1期, 第29—40页.
	刘钻扩、王洪岩, 2021, 《高管从军经历对企业绿色创新的影响》, 《软科学》第12期, 第74—80页.
	马从文、杨洁, 2023, 《企业数字化转型的碳减排效应研究——来自制造业上市公司的经验数据》, 《南京财经大学学报》第2期, 第76—85页.
	齐绍洲、林屾、崔静波, 2018, 《环境权益交易市场能否诱发绿色创新? ——基于我国上市公司绿色专利数据的证据》, 《经济研究》第 12期, 第129—143页.
	宋毓、饶俊丽, 2020, 《国内外数字素养研究热点计量分析》, 《国家图书馆学刊》第1期, 第87—98页.
	苏岚岚、彭艳玲, 2021, 《数字化教育、数字素养与农民数字生活》, 《华南农业大学学报（社会科学版）》第3期, 第27—40页.
	田丹、于奇, 2017, 《高层管理者背景特征对企业绿色创新的影响》, 《财经问题研究》第 6期, 第108—113页.
	王乾坤、张春华、侯冠宇, 2023, 《数字素养、正规就业与工资性收入——基于CHFS微观数据的经验证据》, 《海南大学学报（人文社会科学版）》网络首发.
	汪卫平、姜晓晖、张成龙, 2022, 《性别平等悖论: 全球青少年数字性别鸿沟及其性别文化解释——基于PISA2018数据的跨国（区）分析》, 《外国教育研究》第4期, 第19—35页.
	汪延明、李维安, 2014, 《产业链董事会协同能力的影响因素研究》, 《管理评论》第6期, 第151—162页.
	谢小云、左玉涵、胡琼晶, 2021, 《数字化时代的人力资源管理: 基于人与技术交互的视角》, 《管理世界》第1期, 第200—216页.
	解学梅、韩宇航, 2022, 《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》, 《管理世界》第3期, 第76—106页.
	许宪春、任雪、常子豪, 2019, 《大数据与绿色发展》, 《中国工业经济》第4期, 第5—22页.
	于飞、刘明霞、王凌峰、李雷, 2019, 《知识耦合对制造企业绿色创新的影响机理——冗余资源的调节作用》, 《南开管理评论》第3期, 第54—65页.
	袁蓉丽、李瑞敬、孙健, 2021, 《董事的信息技术背景能抑制盈余管理吗?》, 《南开管理评论》第3期, 第139—149页.
	张静、回雁雁, 2016, 《国外高校数字素养教育实践及其启示》, 《图书情报工作》第11期, 第44—52页.
	张昆贤、武常岐、陈晓蓉、赵玉婷, 2022, 《数字化转型对企业环境治理责任主体意识的影响研究——来自环境治理费用的经验证据》, 《工业技术经济》第11期, 第3—12页.
	张文秀, 2021, 《高管性别、组织冗余与企业绿色创新——基于上市重污染企业研究》, 山东大学硕士学位论文.
	赵宸宇, 2021, 《数字化发展与服务化转型——来自制造业上市公司的经验证据》, 《南开管理评论》第2期, 第149—163页.
	赵莉、张玲, 2020, 《媒体关注对企业绿色技术创新的影响: 市场化水平的调节作用》, 《管理评论》第9期, 第132—141页.
	周慧珺、邹文博, 2022, 《数字化转型背景下数字鸿沟的现状、影响与应对策略》, 《当代经济与管理》网络首发.
	Allan, M. and Jan, G. , 2006, “DigEuLit: Concepts and Tools for Digital Literacy Development”, Innovation in Teaching and Learning in Information and Computer Sciences, No. 5: 249-267.
	Amore, M. D. , Bennedsen, M. and Larsen, B. , et al. , 2019, “CEO Education and Corporate Environmental Footprint”, Journal of Environmental Economics and Management, Vol. 94, No. 3: 254-273.
	Arena, C. , Michelon, G. and Trojanowski, G. , 2017, “Big Egos Can Be Green: A Study of CEO Hubris and Environmental Innovation”, British Journal of Management, Vol. 29, No. 2: 316-336.
	Christoph, G. , Wolfgang, S. and Ulrich, K. , 2022, “Competing for Digital Human Capital: The Retention Effect of Digital Expertise in MNC Subsidiaries”, Journal of International Business Studies, Issue Prepublish.
	Feerrar, J. , 2019, “Development of a Framework for Digital Literacy”, Reference Services Review, Vol. 47, No. 2: 91-105.
	Friemel, T. N. , 2016, “The Digital Divide Has Grown Old: Determinants of a Digital Divide among Seniors”, New Media & Society, Vol. 18, No. 2: 313-331.
	Gilster, P. , 1997, Digital Literacy, New York: Wiley Publishing.
	Goncalves, G. , Oliveira, T. and Cruz-Jesus, F. , 2018, “Understanding Individual-Level Digital Divide: Evidence of an African Country”, Computers in Human Behavior, Vol. 87, No. 10: 276-291.
	Hambrick, D. C. and Mason, P. A. , 1984, “Upper Echelons: The Organization as a Reflection of its Top Managers”, The Academy of Management Review, Vol. 9, No. 2: 193-206.
	Jaeger, T. P. , Bertot, C. J. , Thompson, M. K. , Katz, M. S. and Decoster, J. E. , 2012, “The Intersection of Public Policy and Public Access: Digital Divides, Digital Literacy, Digital Inclusion, and Public Pibraries”, Public Library Quarterly, Vol. 31, No. 1: 1-20.
	Kaplan, S. N. and Zingales, L. , 1997, “Do Investment-Cash Flow Sensitivities Provide Useful Measures of Financing Constraints?”, Quarterly Journal of Economics, Vol. 112, No. 1: 169-216.
	Knobel, M. and Lankshea, C. , 2008, Digital Literacy and Participation in Online Social Networking Spaces, New York: Peter Lang Publishing.
	Koltay, T. , 2011, “The Media and the Literacies: Media Literacy, Information Literacy, Digital Literacy”, Media, Culture & Society, Vol. 33, No. 2: 211-221.
	Li, D. , Cao, C. and Zhang, L. , et al. , 2017, “Effects of Corporate Environmental Responsibility on Financial Performance: The Moderating Role of Government Regulation and Organizational Slack”, Journal of Cleaner Production, Vol. 166, No. 10: 1 323-1 334.
	Mills, K. A. , 2010, “A Review of the Digital Turn in the New Literacy Studies”, Review of Educational Research, Vol. 80, No. 2: 246-271.
	Mubarak, M. F. , Tiwari, S. and Petraite, M. , et al. , 2021, “How Industry 4.0 Technologies and Open Innovation Can Improve Green Innovation Performance?”, Management of Environmental Quality, Vol. 32, No. 5: 1 007-1 022.
	Ng, W. , 2012, “Can We Teach Digital Natives Digital Literacy?”, Computers & Education, Vol. 59, No. 3: 1 065-1 078.
	Park, Y. J. , 2013, “Digital Literacy and Privacy Behavior Online”, Communication Research, No. 2: 215-236.
	Prior, D. D. , Mazanov, J. and Meacheam, D. , et al. , 2016, “Attitude, Digital Literacy and Self-Efficacy: Flow on Effects for Online Learning Behavior”, The Internet and Higher Education, No. 2: 91-97.
	Rennings, K. , Ziegler, A. and Ankele, K. , et al. , 2006, “The Influence of Different Characteristics of the EU Environmental Management and Auditing Scheme on Technical Environmental Innovations and Economic Performance”, Ecological Economics, Vol. 57, No. 1: 45-59.
	Solberg, E. , Traavik, L. E. M. and Wong, S. I. , 2020, “Digital Mindsets: Recognizing and Leveraging Individual Beliefs for Digital Transformation”, California Management Review, Vol. 62, No. 4: 105-124.
	Strambach, S. , 2017, “Combining Knowledge Bases in Transnational Sustainability Innovation: Microdynamics and Institutional Change”, Economic Geography, Vol. 93, No. 5: 500-526.
	Velinov, E. , Maly, M. and Petrenko, Y. , et al. , 2020, “The Role of Top Management Team Digitalization and Firm Internationalization for Sustainable Business”, Sustainability, No. 12: 9 502.
	Vial, G. , 2019, “Understanding Digital Transformation: A Review and a Research Agenda”, The Journal of Strategic Information Systems, Vol. 28, No. 2: 118-144.
	Voogt, J. , Erstad, O. , Dede, C. and Mishra, P. , 2013, “Challenges to Learning and Schooling in the Digital Networked World of the 21st Century”, Journal of Computer Assisted Learning, Vol. 29, No. 5: 403-413.
	Wiredu, G. O. , Boateng, K. A. and Effah, J. K. , 2021, “The Platform Executive: Technology Shaping of Executive Cognition during Digital Service Innovation”, Information & Management, Vol. 58, No. 4: 103469.

变量类型	变量名	变量释义
被解释变量	GreInvia	企业绿色技术创新，以当年申请的绿色发明专利数量加1取自然对数表示
核心解释变量	DigiComp	管理者数字素养，为高管团队管理者数字素养值的平均数。每位管理者数字素养值依据其专业、受教育程度、年龄、性别赋值加权计算得到
控制变量	ROA	盈利能力，年度净利润/平均总资产
	R&D	研发投入，年度研发支出/营业收入
	HSR	股权集中度，期末第一大股东持股比例
	Growth	企业成长性，(本期营业收入?上期营业收入)/上期营业收入
	Lev	资产负债率，负债总额/资产总额
	Cash	现金流水平，经营活动现金流量净额/平均总资产
	Size	公司规模，期末总资产的自然对数
	DCEO	核心高管数字素养，公司董事长/总裁/CEO等核心高管具有数字专长，赋值1，否则为0
	SOE	股权性质，公司为国有企业，赋值1，否则为0
	Market	市场势力，营业收入与营业成本的比值取自然对数
	Density	资本密集度，固定资产总额与员工人数的比值取自然对数
	Share	管理层持股比例，管理层持股数/公司总股本

变量	均值	中位数	最小值	最大值	标准差
GreInvia	0.642	0.000	0.000	4.220	0.962
DigiComp	0.212	0.208	0.055	0.578	0.065
ROA	0.045	0.043	?0.178	0.195	0.056
R&D	0.018	0.000	0.000	0.160	0.031
HSR	0.341	0.322	0.090	0.737	0.143
Growth	0.179	0.126	?0.444	1.833	0.326
Lev	0.391	0.382	0.051	0.849	0.192
Cash	0.049	0.047	?0.132	0.230	0.065
Size	22.050	21.876	20.000	25.630	1.187
DCEO	0.031	0.000	0.000	1.000	0.173
SOE	0.299	0.000	0.000	1.000	0.458
Market	0.371	0.293	0.016	1.611	0.290
Density	12.580	12.555	10.200	14.780	0.880
Share	0.086	0.004	0.000	0.632	0.151

变量	GreInvia
变量	(1)	(2)
DigiComp	1.249^*** (11.21)	1.264^*** (12.36)
ROA		0.475^*** (3.25)
R&D		3.068^*** (9.99)
HSR		?0.258^*** (?5.98)
Growth		?0.014 (?0.71)
Lev		0.052 (1.23)
Cash		?0.139 (?1.31)
Size		0.399^*** (58.53)
DCEO		0.105^*** (2.99)
SOE		0.108^*** (7.11)
Market		?0.110^*** (?3.59)
Density		?0.079^*** (?9.56)
Share		0.138^*** (3.18)
年度/行业	控制	控制
Adj-R²	0.132	0.338
观测值	18 022	18 022

变量	GreInvia	DigiTrans	GreInvia
变量	(1)	(2)	(3)
DigiComp	1.264^***(12.36)	0.917^***(3.55)	1.340^***(7.35)
DigiTrans			0.018^*(1.80)
ROA	0.475^***(3.25)	0.023(0.07)	0.534^**(2.28)
R&D	3.068^***(9.99)	?1.879^**(?2.29)	3.376^***(5.84)
HSR	?0.258^***(?5.98)	0.154(1.45)	?0.391^***(?5.23)
Growth	?0.014(?0.71)	?0.055(?1.10)	0.051(1.45)
Lev	0.052(1.23)	0.050(0.49)	0.078(1.07)
Cash	?0.139(?1.31)	?0.365(?1.43)	0.060(0.33)
Size	0.399^***(58.53)	0.092^***(5.16)	0.327^***(26.03)
DCEO	0.105^***(2.99)	0.551^***(6.99)	0.158^***(2.84)
SOE	0.108^***(7.11)	0.051(1.32)	0.161^***(5.88)
Market	?0.110^***(?3.59)	0.177^**(2.49)	?0.034(?0.68)
Density	?0.079^***(?9.56)	?0.119^***(?6.13)	?0.039^***(?2.85)
Share	0.138^***(3.18)	?0.066(?0.66)	0.111(1.57)
年度/行业	控制	控制	控制
Adj-R²	0.338	0.120	0.294
观测值	18 022	5 297	5 297

变量	工具变量法第一阶段	工具变量法第二阶段	PSM
变量	(1)	(2)	(3)
DC_ind	0.729^*** (31.360)
DigiComp		12.420^***(21.675)	1.371^***(6.57)
ROA	?0.046^***(?4.368)	1.239^*** (6.487)	0.185(0.58)
R&D	0.238^*** (10.913)	1.326^*** (3.024)	3.055^***(5.36)
HSR	?0.005 (?1.613)	?0.236^*** (?4.229)	?0.399^***(?4.12)
Growth	0.011^*** (8.057)	?0.127^*** (?4.770)	0.000(0.00)
Lev	?0.002 (?0.804)	0.105^* (1.901)	0.283^***(2.82)
Cash	?0.028^*** (?3.722)	?0.010 (?0.073)	?0.188(?0.78)
Size	0.004^*** (8.832)	0.348^*** (38.468)	0.493^***(32.73)
DCEO	0.069^*** (27.489)	?0.607^*** (?9.722)	0.108^**(2.44)
SOE	?0.015^*** (?14.245)	0.277^*** (12.743)	0.090^**(2.53)
Market	0.018^*** (9.919)	?0.507^*** (?15.531)	0.064(0.85)
Density	?0.002^*** (?3.026)	?0.064^*** (?6.251)	?0.079^***(?4.46)
Share	0.028^*** (8.833)	?0.121^** (?2.052)	0.201^**(2.16)
年度/行业	控制	控制	控制
Adj-R²	0.178		0.381
观测值	18 022	18 022	4 185