|
|
How the National Big Data Comprehensive Pilot Zone Enables Enterprises to Make Digital Transformation |
Hou Linqi,Cheng Guangbin,Wang Yali |
(School of Economics and Management, Shihezi University, Shihezi 832003, China) |
|
|
Abstract Enterprise digital transformation is the micro-foundation to promote the development of digital economy, ensure the smooth transformation of economic momentum, and achieve high-quality economic development. It has become an inevitable choice to apply artificial intelligence, big data, cloud computing and other digital technologies to the production and operation of enterprises so as to deal with the uncertainty of the production and operation environment at home and abroad and promote the high-quality development of enterprises. However, it is reported that only 16% of Chinese enterprises have achieved remarkable results in digital transformation. Many enterprises are stuck in problems such as weak foundation and insufficient transformation ability of digital transformation, and the application of digital technology is still in the exploratory stage.#br#The construction of national big data comprehensive pilot zone can promote the development of digital industry, release technological dividends, institutional dividends and innovation dividends, and provide market institutional strength and policy support for stimulating the digital transformation of enterprises. At present, China's digital economy has some achievements in development scale and application scenarios, and has great market advantages and development potential. However, there are still a series of shortcomings, such as insufficient foresight of digital economy strategy, insufficient saturation and balance of digital economy development, insufficient innovation ability and core technology of digital economy, and the widespread phenomena of "data island" and "data chimney". In order to speed up the deployment of big data, deepen the application of big data and create new advantages of the digital economy, the State Council issued the action plan for promoting the development of big data (hereinafter referred to as the plan) in August 2015. The outline points out the direction for promoting the opening of digital resources and the development of digital industry from the aspects of top-level planning, policy guidance and implementation direction, and clearly puts forward "carrying out regional pilot projects". In terms of development goals and tasks, the outline points out that it is necessary t ohave a comprehensive construction plan of big data infrastructure, promote the application of big data in all links of enterprise R & D, design, production and operation, and drive the innovation of management methods, business models and the reconstruction of industrial value chain system.#br#This paper takes the national big data comprehensive pilot zone as a quasi-natural experiment. On the basis of the macro data set of A-share listed companies and cities in Shanghai and Shenzhen stock exchanges from 2009 to 2019, it uses the double difference method to evaluate the enabling effect of the construction of the big data comprehensive pilot zone on the digital transformation of enterprises, and constructs the action channels of the big data comprehensive pilot area from three levels: digital infrastructure, industrial agglomeration and government support to affect the digital transformation of enterprises. The research found that the construction of the big data comprehensive pilot zone can effectively enable enterprises' digital transformation, and this conclusion is still valid after a series of robustness tests. The big data comprehensive pilot zone can have a positive impact on the digital transformation of enterprises independently of other policies, but it is not the only policy to promote the digital transformation of enterprises. Other policies such as Broadband China also have the driving effect of digital transformation, which explains how China's unique system affects the digital transformation of enterprises to a certain extent. Furthermore with the benign interaction between the government and the effective market in China, the construction of the big data comprehensive pilot zone can promote the digital transformation of enterprises through three ways: infrastructure enabling effect, industry boosting effect and government support effect, which means that China's digital process requires the coordinated development and mutual assistance of the government and enterprises. Lastly from the perspective of heterogeneity, it is found that the impact of the big data comprehensive pilot zone on the digital transformation of enterprises is significantly different depending on the nature of property rights, innovation attributes, regional characteristics and government work efficiency, which provides empirical evidence rooted in China's local logic for a full analysis of the digital enabling effect of the big data comprehensive pilot zone.#br#
|
Received: 30 May 2022
|
|
|
|
|
[1] 刘淑春. 中国数字经济高质量发展的靶向路径与政策供给[J]. 经济学家, 2019, 31(6): 52-61. [2] 陈振权,李大伟,吴非. 科技金融政策、企业生命周期与数字化技术应用——基于“科技和金融结合试点”的准自然实验[J].南方金融, 2021, 43(9): 3-19. [3] 戚聿东,肖旭. 数字经济时代的企业管理变革[J].管理世界, 2020, 36(6): 135-152, 250. [4] 姚小涛,亓晖,刘琳琳,等. 企业数字化转型:再认识与再出发[J].西安交通大学学报(社会科学版),2022, 42(3): 1-9. [5] 李桥兴,杜可. 国家级大数据综合试验区设立对区域数字经济发展影响效应评估[J].科技管理研究, 2021, 41(16): 81-89. [6] 徐林,侯林岐,程广斌. 国家级大数据综合试验区创新效应研究[J].科技进步与对策,2022,39(20):101-111. [7] 朱秀梅,林晓玥. 企业数字化转型:研究脉络梳理与整合框架构建[J].研究与发展管理,2022,34(4):141-155. [8] 韦影,宗小云. 企业适应数字化转型研究框架:一个文献综述[J].科技进步与对策, 2021, 38(11): 152-160. [9] 张夏恒. 中小企业数字化转型障碍、驱动因素及路径依赖——基于对377家第三产业中小企业的调查[J].中国流通经济, 2020, 34(12): 72-82. [10] MATT C,HESS T,BENLIAN A.Digital transformation strategies[J].Business & Information Systems Engineering, 2015, 57(5): 339-343. [11] ANDRIOLE S J.Five myths about digital transformation[J].Mit Sloan Management Review, 2017, 58(3): 20-22. [12] PETER C VERHOEF,THIJS BROEKHUIZEN,YAKOV BART, et al. Digital transformation: a multidisciplinary reflection and research agenda[J].Journal of Business Research, 2021, 122: 889-901. [13] 王永贵,汪淋淋. 传统企业数字化转型战略的类型识别与转型模式选择研究[J].管理评论, 2021, 33(11): 84-93. [14] ANMAR KAMALALDIN,LINA LINDE,DAVID SJDIN, et al. Transforming provider-customer relationships in digital servitization: a relational view on digitalization[J].Industrial Marketing Management, 2020, 89: 306-325. [15] 余菲菲,王丽婷. 数字技术赋能我国制造企业技术创新路径研究[J].科研管理, 2022, 43(4): 11-19. [16] 涂心语,严晓玲. 数字化转型、知识溢出与企业全要素生产率——来自制造业上市公司的经验证据[J].产业经济研究, 2022, 21(2): 43-56. [17] 李琦,刘力钢,邵剑兵. 数字化转型、供应链集成与企业绩效——企业家精神的调节效应[J].经济管理, 2021, 43(10): 5-23. [18] 唐松,苏雪莎,赵丹妮. 金融科技与企业数字化转型——基于企业生命周期视角[J].财经科学, 2022, 66(2): 17-32. [19] 吴非,常曦,任晓怡. 政府驱动型创新:财政科技支出与企业数字化转型[J].财政研究, 2021, 42(1): 102-115. [20] 王宏鸣,孙鹏博,郭慧芳. 数字金融如何赋能企业数字化转型——来自中国上市公司的经验证据[J].财经论丛,2022,38(10):3-13. [21] 陈玉娇,宋铁波,黄键斌. 企业数字化转型:“随行就市”还是“入乡随俗”——基于制度理论和认知理论的决策过程研究[J].科学学研究,2022,40(6): 1054-1062. [22] 邱子迅,周亚虹. 数字经济发展与地区全要素生产率——基于国家级大数据综合试验区的分析[J].财经研究, 2021, 47(7): 4-17. [23] 史宇鹏,王阳,张文韬. 我国企业数字化转型:现状、问题与展望[J].经济学家, 2021, 33(12): 90-97. [24] 曾德麟,蔡家玮,欧阳桃花. 数字化转型研究:整合框架与未来展望[J].外国经济与管理, 2021, 43(5): 63-76. [25] 张杰,付奎. 信息网络基础设施建设能驱动城市创新水平提升吗——基于“宽带中国”战略试点的准自然试验[J].产业经济研究, 2021, 20(5): 1-14, 127. [26] 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.
|
|
|
|