The wave of digitization has swept in, and new breakthroughs have been made in digital technology innovation, represented by emerging technologies such as big data and artificial intelligence. The Chinese government is determined to build a number of new growth engines, such as new-generation information technology and artificial intelligence, and to create digital industry clusters with international competitiveness. Digital technology innovation is the key for countries to competing for a new round of competitive advantages in science and technology and the commanding heights of industrial development, and it also provides a key impetus for the high-quality development of China's digital economy under the new development pattern.
However, in the process of digital technology research and development, the inefficiency (or inefficiency) of individual digital technology innovation of an organization may cause the organization to rely on backward technology and form a digital technology reverse lock. Digital technology locking hinders the survival and high-quality development of the digital economy, and in-depth exploration of the unlocking mechanism of digital technology locking will be the key to leading enterprises to improve the quality and efficiency of digital technology innovation against the technology bottlenecks in the field of scientific and technological innovation. Thus, this paper identifies the digital technology invention patent application data of Chinese listed companies through the IPC classification number, measures the reverse locking effect of China's digital technology based on the input and output of digital technology, examines the "erosion effect" of the locking of digital technology on the development of the digital economy, and specifically analyzes the digital unlocking strategy in different situations. It also analyzes the digital unlocking strategy under different circumstances, providing experience and reference for understanding the connotation of digital technology reverse locking and breaking through the "digital locking cage".
Specifically, following technology path dependence theory , this study uses the digital technology patent application data of Chinese listed companies from 2011—2021,and adopts the non-radial super-efficient SBM method to measure China's digital technology lock-in.It then examines the erosion effect of digital technology locking on the development of the digital economy and analyzes feasible unlocking strategies under different circumstances. It is found that there is a significant erosion effect of digital technology locking on the development of the digital economy, and the effect follows the nonlinear trajectory of "significant erosion—convergence of erosion effect—strengthening of erosion effect". Influenced by the spatial diffusion of technology, digital technology locking on the development of the digital economy shows the phenomenon of "neighborhood erosion". The analysis of unlocking strategy shows that compared with internal technology introduction, external technology introduction significantly breaks the fixed evolution track of reverse digital technology lock-in, and regions in weak institutional innovation environments have higher marginal benefits by curbing digital technology lock-in through technology imitation and transformation. In addition, the curbing effect of technology digestion and absorption on digital technology lock-in is characterized by asymmetry between regions, and intellectual property protection provides a solid institutional guarantee for the absorption of knowledge and the quality transformation of digital technology achievements.
This study makes some novelties in two ways. First, considering the potential risk of technology reverse lock-in caused by the continuous self strengthening of digital technology in a backward framework,it measures the reverse lock-in effect of digital technology in China and examines its "erosion effect" from multiple perspectives. Compared to previous research on technology lock-in, the study enriches the new connotations generated by technology lock-in in China in the digital era and deepens the literature related to the development of digital technology. Second, the study explores the feasible paths for unlocking digital technology in China's realistic context, and specifically analyzes the diversified strategies for unlocking digital technology in different scenarios, expanding and deepening the relevant research content of technology unlocking, providing policy reference and empirical reference for China to shake off the shackles of digital locking.
Ru Huichao
,
Deng Feng
. Digital Technology Lock-in: A Study of Erosion Effects and Unlocking Strategies from the Reverse Locking Perspective[J]. Science & Technology Progress and Policy, 2025
, 42(2)
: 1
-10
.
DOI: 10.6049/kjjbydc.2023090135
[1] 余泳泽, 段胜岚, 林彬彬. 新发展格局下中国产业高质量发展:现实困境与政策导向[J]. 宏观质量研究, 2021, 9(4): 78-98.
[2] 陶锋, 朱盼, 邱楚芝, 等.数字技术创新对企业市场价值的影响研究[J]. 数量经济技术经济研究, 2023, 40(5): 68-91.
[3] TRIPLELT J E. The solow productivity paradox: what do computers do to productivity[J]. The Canadian Journal of Economics, 1999, 32(2): 309-334.
[4] ROMER P M. Endogenous technological change[J]. Journal of Political Economy, 1990, 98(5): 71-102.
[5] 邓峰, 王一飞. 技术锁定对创新绩效的影响:创新模式的调节作用[J]. 科技进步与对策, 2022, 39(14): 1-11.
[6] 蒋洁, 汤超颖, 张启航, 等. 产业特征对技术创新激励政策效应的交互影响[J]. 科研管理, 2021, 42(11): 71-81.
[7] DAVID P A. Clio and the economics of qwerty[J]. American Economic Review, 1985, 75(2): 332-337.
[8] ARTHUR W B.Competing technologies, increasing returns, and lock-in by historical events[J]. The Economic Journal, 1989, 99(394): 116-131.
[9] VERGNE J P, DURAND R. The missing link between the theory and empirics of path dependence: conceptual clarification, testability issue, and methodological implications[J]. Journal of Management Studies, 2010, 47(4): 736-759.
[10] ZHAO L, XIANG Y, YI Q. Fuzzy front end patent management and innovation performance: mediating role of patent commercialization and moderating effect of technological lock-in[J]. Management Decision, 2017, 55(6): 1143-1162.
[11] ZHAO L, SUN J, ZHANG L, et al. Effects of technology lock-in on enterprise innovation performance[J]. European Journal of Innovation Management, 2020, 24(5): 1782-1805.
[12] FREEMAN.Networks of innovators:a synthesis of research issues[J]. Research Policy, 1991, 20(5): 499-514.
[13] PAUL R. New goods, old theory, and the welfare costs of trade restrictions[J]. Journal of Development Economics, 1994, 43(1): 5-38.
[14] YOO Y, HENFRIDSSON O, LYYTINEN K. Research commentary-the new organizing logic of digital innovation: an agenda for information systems research[J]. Information Systems Research, 2010, 21(4): 724-735.
[15] 刘洋, 董久钰, 魏江. 数字创新管理:理论框架与未来研究[J]. 管理世界, 2020, 36(7): 198-217,219.
[16] NAMBISAN S, LYYTINEN K, MAJCHRZAK A,et al. Information technology and innovation[J]. Mis Quarterly, 2014, 38(1): 327-328.
[17] REUVER M D, SRENSEN C, BASOLE R C. The digital platform: a research agenda[J]. Journal of Information Technology, 2017, 33(2): 124-135.
[18] CIRIELLO R F, RICHTER A, SCHWABE G. Digital innovation[J]. Business & Information Systems Engineering, 2018, 60(6): 563-569.
[19] 许玉云, 王军, 张一飞, 等. 国内外技术获取与高技术产业创新绩效差异——基于时滞视角的比较分析[J]. 科技进步与对策, 2021, 38(3): 70-78.
[20] LI K, QIU J, WANG J. Technology conglomeration, strategic alliances, and corporate innovation[J]. Management Science, 2019, 65(11): 5065-5090.
[21] 程新生, 王向前. 技术并购与再创新——来自中国上市公司的证据[J]. 中国工业经济, 2023, 41(4): 156-173.
[22] AHUMA G, F R K. Technological acquisitions and the innovation performance of acquiring firms: a longitudinal studY[J]. Strategic Management Journal, 2001, 22(3): 197-220.
[23] 孙巍, 徐邵军. 技术进步路径转换、异质性劳动力流动与地区经济差距演化[J]. 经济评论, 2021,42 (5): 65-85.
[24] ROMER, PAUL M. Increasing returns and long-run growth[J]. Journal of Political Economy, 1986, 94(5): 1002-1037.
[25] 白俊红, 张艺璇, 卞元超. 创新驱动政策是否提升城市创业活跃度——来自国家创新型城市试点政策的经验证据[J]. 中国工业经济, 2022, 40(6): 61-78.
[26] 余骁, 黄先海, 陈航宇. 知识产权保护、技术距离与出口国内增加值率[J]. 中国工业经济, 2023, 41(6): 99-117.
[27] 黎新伍, 黎宁, 谢云飞. 数字经济、制造业集聚与碳生产率[J]. 中南财经政法大学学报, 2022, 65(6): 131-145.
[28] 樊纲, 王小鲁, 马光荣. 中国市场化进程对经济增长的贡献[J]. 经济研究, 2011, 46(9): 4-16.
[29] HU A G Z, JINCHANG J Q. R&D and technology transfer: firm-level evidence from Chinese industry[J]. Review of Economics and Statistics, 2005, 87(4): 780-786.
[30] 吴延兵. 自主研发、技术引进与生产率——基于中国地区工业的实证研究[J]. 经济研究, 2008, 44(8): 51-64.
[31] M C W, A L D. Absorptive capacity: a new perspective on learning and innovation[J]. Administrative Science Quarterly, 1990, 35(1): 128-152.