数字化转型对区域高技术产业创新差距影响研究

张矿伟, 俞立平

科研管理 ›› 2024, Vol. 45 ›› Issue (7) : 49-58.

PDF(1208 KB)
PDF(1208 KB)
科研管理 ›› 2024, Vol. 45 ›› Issue (7) : 49-58. DOI: 10.19571/j.cnki.1000-2995.2024.07.006

数字化转型对区域高技术产业创新差距影响研究

作者信息 +

Research on the impact of digital transformation on the innovation gap of the regional high-tech industry

Author information +
文章历史 +

摘要

高技术产业在推动区域创新协调发展中发挥重要作用,研究数字化转型对高技术产业创新差距的影响对于优化创新空间格局,提升科技创新整体实力具有重要意义。本文在分析数字化转型对创新差距影响机制的基础上基于省级面板数据进行研究,并运用面板回归模型、分位数回归模型、面板门槛模型及BVAR模型实证分析数字化转型对创新差距的影响规律与互动关系。结果表明:(1)总体而言数字化转型对创新差距表现出显著的缩小作用;(2)从区域看,东部地区省份数字化转型拉大了创新差距,而中西部地区省份数字化转型则有利于缩小创新差距;(3)随着创新差距的不断扩大数字化转型对其的缩小作用逐渐变小;(4)当数字化转型处于较低与较高水平时,其对创新差距呈现出显著的缩小作用,且当数字化转型水平较高时这种缩小作用表现的更强;(5)创新差距的不断拉大抑制了数字化转型水平的提升,数字化转型与创新差距呈现出负向互动关系。因此,不同地区应立足自身发展的实际制定数字化发展策略,更好发挥数字化转型在缩小创新差距、实现创新收敛中的作用,同时也要客观认识到创新差距的积极作用,既要防止没有创新差距更要防止过大的创新差距。

Abstract

The high-tech industry plays an important role in promoting coordinated development of regional innovation. Studying the impact of digital transformation on the innovation gap of high-tech industries is of great significance for optimizing the innovation spatial pattern and enhancing the overall strength of scientific and technological innovation.This paper analyzed the impact mechanism of digital transformation on innovation gap based on provincial panel data, and used the panel regression model, quantile regression model, panel threshold model, and BVAR model to empirically analyze the impact law and interactive relationship of digital transformation on innovation gap.The results showed that:(1) digital transformation has, in general, shown a significant narrowing effect on the innovation gap; (2) from a regional perspective, the digital transformation of provincial-level regions in the eastern region has widened the innovation gap, while the digital transformation of provincial-level regions in the central and western regions is conducive to narrowing the innovation gap; (3) as the innovation gap continues to widen, the role of digital transformation in narrowing it gradually diminishes; (4) when digital transformation is at a low or high level, it shows a significant narrowing effect on the innovation gap, and this narrowing effect is stronger when the level of digital transformation is high; and (5) the continuous widening of the innovation gap has suppressed the improvement of digital transformation level, and there is a negative interactive relationship between digital transformation and innovation gap.Therefore, different regions should formulate digital development strategies based on their own actual development, better leverage the role of digital transformation in narrowing innovation gaps and achieving innovation convergence, while objectively recognizing the positive role of innovation gaps. It is necessary to prevent both lack of innovation gaps and excess of innovation gaps.

关键词

数字化转型 / 创新差距 / 高技术产业 / 影响机制 / 面板数据

Key words

digital transformation / innovation gap / high-tech industry / influence mechanism / panel data

引用本文

导出引用
张矿伟, 俞立平. 数字化转型对区域高技术产业创新差距影响研究[J]. 科研管理. 2024, 45(7): 49-58 https://doi.org/10.19571/j.cnki.1000-2995.2024.07.006
Zhang Kuangwei, Yu Liping. Research on the impact of digital transformation on the innovation gap of the regional high-tech industry[J]. Science Research Management. 2024, 45(7): 49-58 https://doi.org/10.19571/j.cnki.1000-2995.2024.07.006
中图分类号: F276.44   

参考文献

[1]
肖刚, 杜德斌, 戴其文. 中国区域创新差异的时空格局演变[J]. 科研管理, 2016, 37(5):42-50.
XIAO Gang, DU Debin, DAI Qiwen. Chinese regional innovation differences in temporal and spatial evolution[J]. Science Research Management, 2016, 37(5):42-50.
[2]
PAUNOV C, ROLLO V. Has the internet fostered inclusive innovation in the developing world?[J]. World Development, 2016, 78:587-609.
[3]
SETIA P, PATEL P C. How information systems help create OM capabilities: Consequents and antecedents of operational absorptive capacity[J]. Journal of Operations Management, 2013, 31(6):409-431.
In contemporary business environments, the ability to manage operational knowledge is an important predictor of organizational competitiveness. Organizations invest large sums in various types of information technologies (ITs) to manage operational knowledge. Because of their superior storage, processing and communication capabilities, ITs offer technical platforms to build knowledge management (KM) capabilities. However, merely acquiring ITs are not sufficient, and organizations must structure information system (IS) designs to leverage ITs for building KM capabilities. We study how technical and strategic IS designs enhance operational absorptive capacity (OAC) – the KM capability of an operations management (OM) department. Specifically, we use a capabilities perspective of absorptive capacity to examine potential absorptive capacity (POAC) and realized absorptive capacity (ROAC) capabilities – the two OAC capabilities that create and utilize knowledge, respectively. Our theory proposes that integrated IS capability, – an aspect of technical IS design – is an antecedent of POAC and ROAC capabilities, and business‐IT alignment – an aspect of strategic IS design – moderates the relationship between integrated IS capability and ROAC capability. Combining data gleaned from a multi‐respondent survey with archival data from COMPUSTAT, we test our hypotheses using a dataset from 153 manufacturing organizations. By proposing that IS design enables an OM department's KM processes, i.e., the POAC and ROAC capabilities, our interdisciplinary theoretical framework opens the “black box” of OAC and contributes to improved understanding of IS and OM synergies. We offer a detailed discussion of our contributions to the literature at the IS‐OM interface and implications for practitioners.
[4]
贺正楚, 潘为华, 潘红玉, 等. 制造企业数字化转型与创新效率:制造过程与商业模式的异质性分析[J]. 中国软科学, 2023 (3):162-177.
HE Zhengchu, PAN Weihua, PAN Hongyu, et al. Digital transformation and innovation efficiency of manufacturing firms: Heterogeneity analysis of manufacturing processes and business models[J]. China Soft Science, 2023 (3):162-177.
[5]
肖静华, 吴小龙, 谢康, 等. 信息技术驱动中国制造转型升级:美的智能制造跨越式战略变革纵向案例研究[J]. 管理世界, 2021, 37 (3):161-179+225+11.
XIAO Jinghua, WU Xiaolong, XIE Kang, et al. IT-driven transformation of Chinese manufacturing: A longitudinal case study on leap-forward strategic change of Midea intelligent manufacturing[J]. Journal of Management World, 2021, 37 (3):161-179+225+11.
[6]
罗瑾琏, 王象路, 耿新. 数字化转型对企业创新产出的非线性影响研究[J]. 科研管理, 2023, 44(8):1-10.
LUO Jinlian, WANG Xianglu, GENG Xin. Research on the nonlinear impact of digital transformation on innovation output of enterprises[J]. Science Research Management, 2023, 44(8):1-10.
[7]
张矿伟, 俞立平, 张宏如, 等. 数字化转型对高技术产业创新的影响机制与效应研究[J]. 统计研究, 2023, 40(10):96-108.
ZHANG Kuangwei, YU Liping, ZHANG Hongru, et al. Research on the influence mechanism and effect of digital transformation on high-tech industry innovation[J]. Statistical Research, 2023, 40(10):96-108.
[8]
刘帅, 李琪, 徐晓瑜, 等. 互联网是否缩小了城市创新差距?:基于面板门槛模型的检验[J]. 软科学, 2023, 37(1):50-57+68.
LIU Shuai, LI Qi, XU Xiaoyu, et al. Does the internet close the gap of urban innovation? Empirical test based on panel threshold regression model[J]. Soft Science, 2023, 37(1):50-57+68.
[9]
金环, 于立宏. 数字经济、城市创新与区域收敛[J]. 南方经济, 2021(12):21-36.
JIN Huan, YU Lihong. Digital economy, urban innovation and regional convergence[J]. South China Journal of Economics, 2021(12):21-36.
Innovation is important strategic support for improving social productivity and overall national strength, and it is also a powerful guarantee for enhancing the core competitiveness. As the main body of regional innovation activities and the gathering place of innovation elements, cities play the role of &quot;leader&quot;. How to find a new source of power to stimulate urban innovation has become the critical point of this research. With the rapid development of the digital economy, data has become a new element in addition to traditional elements such as labor, land, and capital. Can the digital economy empower urban innovation? This article first defines the concept and connotation of the digital economy. Second, a theoretical analysis framework for the impact of the digital economy on urban innovation has been constructed. Third, by selecting the panel data of 283 prefecture-level cities in China from 2016 to 2018, and using micro-big data to construct the &quot;Internet Plus Digital Economy&quot; index, we empirically test the impact and mechanism of the development of the digital economy on urban innovation.<br>The research results show that:First, on the whole, the rapid development of the digital economy can significantly promote urban innovation. After replacing the explained variables, lagging the explanatory variables by one period, eliminating sample selection bias, choosing quantile regression, and using the majors learned by the mayors of cities as the instrumental variable test, this conclusion still established steadily. Second, the agglomeration effect of human capital and the enhancement effect of entrepreneurial vitality are main channels that the development digital economy empowers urban innovation. Third, the spatial Durbin effect analysis shows that the development of the digital economy has significant spatial spillover effects, which not only promotes the improvement of the regional innovation level, but also has a substantial impact on the innovation output of neighboring cities. The digital economy relies on a powerful modern information network to break the locality of spatial distribution, strengthen economic ties between regions, and accelerate the spread and diffusion of innovation spillover effects. From the perspective of the impact of the development of the digital economy on the regional innovation gap, the spatial spillover effect generated by the development of the digital economy can narrow the innovation gap between regions. The digital economy brings &quot;digital dividends&quot; to regional innovation rather than &quot;digital divides&quot;.<br>Therefore, on the one hand, we should vigorously support the development of the digital economy, accelerate the spread and application of the digital economy in multiple fields, increase the scale of digital economy construction, use digital technology to accelerate learning by doing, and improve urban human capital. On the other hand, it is necessary to speed up investment in the construction of network technology facilities in the central and western regions, appropriately release the innovation incentive effect of the digital economy in the eastern region, and allow different production factors to play their respective roles in promoting urban innovation as much as possible, so as to avoid turning digital welfare into the digital divide.
[10]
孙晋云, 白俊红, 王钺. 数字经济如何重塑我国区域创新格局?:基于研发要素流动的视角[J]. 统计研究, 2023, 40(8):59-70.
SUN Jinyun, BAI Junhong, WANG Yue. How the digital economy reshapes Chinese regional innovation structure: Based on the perspective of R&D factor flow[J]. Statistical Research, 2023, 40(8):59-70.
[11]
张梁, 相广平, 马永凡. 数字金融对区域创新差距的影响机理分析[J]. 改革, 2021(5):88-101.
ZHANG Liang, XIANG Guangping, MA Yongfan. Analysis on the influence mechanism of digital finance on regional innovation gap[J]. Reform, 2021(5):88-101.
[12]
杨柏, 陈银忠, 李海燕. 数字化转型下创新生态系统演进的驱动机制[J]. 科研管理, 2023, 44(5):62-69.
YANG Bai, CHEN Yinzhong, LI Haiyan. Research on driving mechanism of innovation ecosystem evolution under digital transformation[J]. Science Research Management, 2023, 44(5):62-69.
[13]
PEE L G. Customer co-creation in B2C e-commerce: Does it lead to better new products?[J]. Electronic Commerce Research, 2016, 16(2):1-27.
[14]
施炳展, 李建桐. 互联网是否促进了分工:来自中国制造业企业的证据[J]. 管理世界, 2020, 36(4):130-149.
SHI Bingzhan, LI Jiantong. Does the internet promote division of labor? Evidences from Chinese manufacturing enterprises[J]. Journal of Management World, 2020, 36(4):130-149.
[15]
单宇, 许晖, 周连喜, 等. 数智赋能:危机情境下组织韧性如何形成?:基于林清轩转危为机的探索性案例研究[J]. 管理世界, 2021, 37(3):84-104+7.
SHAN Yu, XU Hui, ZHOU Lianxi, et al. Digital and intelligent empowerment: How to form organizational resilience in crisis? An exploratory case study based on forest cabin's turning crisis into opportunity[J]. Journal of Management World, 2021, 37(3):84-104+7.
[16]
ANDRIOLE S J. Five myths about digital transformation[J]. MIT Sloan Management Review, 2017, 58(3):20-22.
[17]
HANSEN B E. Threshold effects in non-dynamic panels: Estimation, testing and inference[J]. Journal of Econometrics, 1999(93):345-368.
[18]
段博, 邵传林. 数字经济加剧了地区差距吗?:来自中国284个地级市的经验证据[J]. 世界地理研究, 2020, 29(4):728-737.
摘要
数字经济的兴起为实现地区协调发展提供了重要契机。基于中国284个地级市数据,通过构建传导机制考察数字经济对地区差距的直接、间接和调节效应,采用Bootstrap有调节的中介效应方法进行分析。研究表明:数字经济、制造业集聚和地区差距的空间分布均呈现“东强西弱、南强北弱”的不均衡特征;数字经济对地区差距具有负向的直接效应;数字经济通过集聚经济对地区差距发挥了显著的正向中介效应;财政科教支出在直接路径中发挥负向的调节效应,在数字经济影响集聚经济过程中发挥正向调节效应。如须在数字经济时代下缩小地区差距,既需要推广数字技术、消弭数字鸿沟,也需要完善要素流动、财政科教支出等制度性配套机制。
DUAN Bo, SHAO Chuanlin. Does the digital economy exacerbate regional disparities? Empirical evidence from 284 prefecture-level cities in China[J]. World Regional Studies, 2020, 29(4):728-737.

The rise of the digital economy has provided an important opportunity for the coordinated development of the region. Based on the data of 284 prefecture-level cities in China, this paper constructs a transmission mechanism to examine the direct, indirect and regulatory effects of the digital economy on regional disparities, and the mediating effect method of Bootstrap is adopted. The research shows that: The spatial distribution of the digital economy, manufacturing agglomeration and regional disparity are characterized by the imbalance of “The south is stronger while the north,weaker” and “The east is stronger while the west,weaker”; The digital economy has a negative direct effect on regional disparities; The digital economy has exerted a significant positive mediating effect on the regional disparities through the agglomeration economy; Fiscal spending on science and education plays a negative regulatory effect in the direct path, and plays a positive adjustment effect in the process of the digital economy affecting the agglomeration economy. The policy meaning is that to narrow the regional gap in the era of digital economy, it is necessary to promote digital technology and eliminate the digital divide, and it is also necessary to improve the institutional supporting mechanisms such as factor flow and fiscal spending on science and education.

[19]
王锋正, 刘向龙, 张蕾, 等. 数字化促进了资源型企业绿色技术创新吗?[J]. 科学学研究, 2022, 40(2):332-344.
摘要
伴随数字中国建设进程的加快,数字化能否有效促进传统资源型企业绿色技术创新,突破资源环境双重约束走上高质量发展之路?基于技术整合能力视角,以2016-2019年中国沪深A股资源型上市公司为样本,实证检验了数字化综合水平及其数字基础、数字投入、数字素养、数字经济和数字应用五个分项指标对资源型企业绿色技术创新的影响与内在机理。通过运用变异系数法和Stata15.1软件,研究发现:地区数字化综合水平及其数字基础、数字投入、数字经济和数字应用等四个分项指标均对资源型企业绿色技术创新存在显著“∩型”影响;技术整合能力正向调节地区数字化综合水平及其五个分项指标对资源型企业绿色技术创新的影响。结果表明:加快提升地区数字化水平和增强企业技术整合能力,对促进资源型企业绿色技术创新,从而实现以生态优先、绿色发展为导向的高质量发展具有重要意义。
WANG Fengzheng, LIU Xianglong, ZHANG Lei, et al. Does digitalization promote green technology innovation of resource-based enterprises?[J]. Studies in Science of Science, 2022, 40(2):332-344.
Nowadays, green technology with the characteristics of high efficiency, low carbon and recycling is not only the inevitable choice for the development of human society, but also the key to the high-quality development of resource-based enterprises. However, it needs the support of corresponding innovation environment and factor supply, and the digital environment gradually formed by relying on technologies such as big data provides it with an unprecedented opportunity. Digitization is becoming the leading force driving innovation and transformation. With the acceleration of the construction of Digital China, can digitalization effectively promote the green technology innovation of traditional resource-based enterprises, break through the dual constraints of resources and environment and embark on the road of high-quality development? Accelerating digital development has become a general trend. How Chinese resource-based enterprises take advantage of the trend to catch the fast train of digital development and quickly integrate into the new environment of digital development is directly related to their own high-quality development level. From the perspective of technology integration capability. Based on the sample of A-share resource-based listed companies in Shanghai and Shenzhen from 2016 to 2019, this paper empirically tests the impact and internal mechanism of digital comprehensive level and its five sub indicators on green technology innovation of resource-based enterprises. The five sub indicators are: Digital foundation, digital input, digital literacy, digital economy and digital application. This paper constructs the digital level measurement index system by using the coefficient of variation method. And comprehensively measure the digital level of 30 provinces in China. And the empirical results are obtained by using stata15.1 software. It is found that the comprehensive level of regional digitization has a significant &quot;∩&quot; impact on the green technology innovation of resource-based enterprises. Among the five first level indicators of digital level, four sub indicators such as digital foundation, digital input, digital economy and digital application have a significant &quot;∩&quot; impact on the green technology innovation of resource-based enterprises in the jurisdiction. However, digital literacy has no significant impact on the &quot;∩&quot; of green technology innovation of resource-based enterprises in the jurisdiction. That is, there is an appropriate level of digitization in the above different dimensions, and excessive investment is not conducive to promoting green technology innovation of resource-based enterprises. Technology integration ability positively regulates the impact of regional digital comprehensive level on green technology innovation of resource-based enterprises. Technology integration ability positively regulates the impact of digital foundation, digital input, digital literacy, digital economy and digital application on green technology innovation of resource-based enterprises in the jurisdiction. The results show that in resource-based enterprises, the regional digital level only provides the basis of technical resources for enterprises. Only through the internal technology integration can we give full play to the value of different technology combinations, which is helpful for enterprises to carry out green technology innovation. In short, accelerating the improvement of regional digital level and enhancing the ability of enterprise technology integration are of great significance to promote green technology innovation of resource-based enterprises, so as to realize high-quality development guided by ecological priority and green development.
[20]
徐慧超, 赵彦云. 中国数字化转型国际竞争力分析研究[J]. 科学学研究, 2023, 41(11):1967-1979.
摘要
数字化转型不断深入,已成为经济发展的核心主体驱动,反映了新技术革命深入的全面发展的新时代效果。根据数字化转型给经济发展带来的生产要素及发展模式变化,从数字化要素配置和数字化创新发展两方面进行量化解析,发现我国数字化转型水平处于领先地位。同时利用CES生产函数理论创新应用,通过回归、NCA和QCA等模型方法,实证了数字化转型对经济发展的决定影响。发现数字化转型对经济发展表现出显著促进作用,数据要素的投入是经济发展的必要条件,要实现经济高水平发展有要素配置驱动型、资本-治理驱动型、数据-治理驱动型三类充分性组合路径。我国虽拥有一定的数字化转型红利,但数据投入较低,未能实现数字化转型对高水平经济发展的路径,数字化转型国际竞争力仍具有巨大发展潜力。
XU Huichao, ZHAO Yanyun. Analysis and research on international competitiveness of China's digital transformation[J]. Studies in Science of Science, 2023, 41(11):1967-1979.
The deepening of digital transformation has become the core driving force of economic development, reflecting the new era effect of the in-depth comprehensive development of the new technological revolution. According to the changes in production factors and development models brought about by digital transformation to economic development, quantitative analysis is carried out from the two aspects of digital element configuration and digital innovation development. It is found that all economies have improved their level of digital element configuration and digital innovation development, and China&#039;s digital transformation level is in a leading position and has great performance in both aspects, has a great competitive advantage. At the same time, the innovative application of CES production function theory is used to demonstrate the decisive impact of digital transformation on economic development. In order to improve the reliability of conclusions, model methods have been used. Through regression models, the average effect between digital transformation and economic development is demonstrated. Through NCA and QCA, the full necessity between digital transformation and economic development has been examined. It is found that digital transformation has shown a significant role in promoting economic development, and the input of data elements is a necessary condition for economic development. Also in order to achieve a high level of economic development, there has three types of sufficiency combination paths, which are factor allocation-driven paths, capital-governance-driven paths and data-governance-driven paths. Through theoretical discussion and empirical analysis, it is found that the role of digital transformation in promoting economic development is long-term and heterogeneous. In different economic types and different time periods, the performance of digital transformation is different. In OECD economies, the improving effect of digital transformation is weaker than non-OECD economies, which is because non-OECD economies are in the initial stages of digital transformation, while OECD economies already have a certain foundation for digital transformation. And since the global focus on digital transformation in 2016, digital transformation has a stronger improving effect on economic development, which shows the importance of government support.As a non-OECD economy, China lags behind in terms of labor productivity, but has a certain digital transformation dividend, digital transformation strongly promotes economic development. At the same time, the level of digital transformation of China is leading in the world, shows a great potential for growth. However, the level of data element is low, failed to achieve the path of digital transformation for high-level economic development. Therefore, China should make full use of digital transformation to achieve “overtaking in curves” at the economic level, and actively popularize digital technology to improve the use of digit element. At the same time, it is important to increase the governance of intellectual property rights and internet security, give the greatest support for the development of digital transformation. What’s more, increase the level of data element is of great importance. Timely adjust the development route according to different situations is also important in developing the level of economy. In one word, China has great potential for development the international competitiveness of digital transformation.
[21]
黄群慧, 余泳泽, 张松林. 互联网发展与制造业生产率提升: 内在机制与中国经验[J]. 中国工业经济, 2019(8):5-23.
HUANG Qunhui, YU Yongze, ZHANG Songlin. Internet development and productivity growth in manufacturing industry: Internal mechanism and China experiences[J]. China Industrial Economics, 2019(8):5-23.

基金

浙江省自然科学基金重点项目:“制造业从数量型创新向质量型创新转型机制研究”(LZ21G030001)
浙江省登峰学科(浙江工商大学统计学)资助(2023ZD1A)
统计数据工程技术与应用协同创新中心

PDF(1208 KB)

Accesses

Citation

Detail

段落导航
相关文章

/