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数字创业生态影响产业数字化的组态效应研究
Research on the configuration effect of digital entrepreneurial ecosystem on industrial digitalization
产业数字化是加快形成新质生产力的重要驱动,而数字创业生态作为数字经济发展的关键基础,对推动产业数字化意义重大。然而,数字创业生态的内部要素如何驱动产业数字化仍是学界尚未理清的问题。基于创业生态系统理论,以192个地级市样本为研究对象,利用模糊集定性分析方法就数字创业生态多主体互动对各阶段城市产业数字化的影响机制展开探讨。研究发现:数字创业生态的单一主体并未构成高产业数字化的必要条件;产生高产业数字化的数字创业生态组态存在政策推动型、建设带动型、全能均衡型三类,其中起步阶段城市以政策推动型和建设带动型为主,推进阶段城市以建设带动型为主,稳固阶段城市以全能均衡型为主;数字创业生态驱动产业数字化发展的组态在不同阶段下各有侧重,伴随城市发展呈现出从以“有形力量”被动推动转化为以“无形力量”主动驱动的演化趋势。研究结论有助于揭示区域产业数字化的生态治理模式,为不同阶段城市的产业治理提供理论指导。
As an important driving force behind the new technological revolution and industrial transformation, industrial digitization has become an engine for the development of new productive forces. However, many urban areas are still struggling with the dilemma of digital transformation, characterized by reluctance, inability or even marginalization. "How to accelerate the advancement of industrial digitization" has become a practical concern for government. Industrial digitization is regarded as a systematic integration of digital technology with the real economy. The digital entrepreneurial ecosystem, by effectively breaking down existing barriers between industries and accelerating inter-industry integration, has become an important foundation for industrial digitization. Understanding the pathway through which the digital entrepreneurial ecosystem influences industrial digitization can meet the practical demands of local governments in expediting industrial digitization and promoting the development of new productive forces.
Based on the method of fsQCA, this study analyzed a sample of 192 prefecture-level cities, taking into account their developmental stages. We comprehensively considered the configuration effect of digital ecological subjects such as market scale, human capital, financial capital, policy governance, entrepreneurship culture, and infrastructure on urban industrial digitalization. The results showed that: first, the single subject of the digital entrepreneurial ecosystem does not constitute the necessary condition for high industrial digitalization; second, there are three types of interactive configurations of the digital entrepreneurial ecosystem that promote industrial digitalization: policy-driven, construction-driven, and all-around balanced. In the initial stage, cities mainly present policy-driven configurations with policy governance as the core and construction-driven configurations with infrastructure and market size as the core. In the development stage, cities transition to construction-driven configurations. In the mature stage, the city presents an all-around balanced configuration of all-factor development. Third, the driving mode of the digital entrepreneurial ecosystem for industrial digitalization has its emphasis on different developmental stages, indicating a shift from passive influence by tangible factors like policies and infrastructure to active influence by intangible factors such as market dynamics.
This study has several practical contributions. First, for cities in the initial stage, a dual strategy of policy promotion and construction driving should be adopted to seize policy and construction opportunities. Second, for cities in the development stage, a strategy involving the development of digital markets and infrastructure should be employed to expand market scale and infrastructure development. Third, for cities in the mature stage, a strategy involving the selection and development should be implemented to optimize surplus industries and explore advanced industries, thus improving the regional industrial structure.
industry digitization / digital entrepreneurial ecosystem / regional governance / configuration effect
| [1] |
王娟娟. 我国数字经济的“两化”发展与区域比较[J]. 中国流通经济, 2023, 37(1):12-23.
|
| [2] |
国家统计局. 《数字经济及其核心产业统计分类(2021)》国家统计局令第33号[EB/OL].https://www.stats.gov.cn/xxgk/tjbz/gjtjbz/202106/t20210603_1818135.html,2021.
National Bureau of Statistics. Statistical classification of digital economy and its core industries (2021) order No. 33 of the National Bureau of Statistics[EB/OL].https://www.stats.gov.cn/xxgk/tjbz/gjtjbz/202106/t20210603_1818135.html,2021.
|
| [3] |
|
| [4] |
朱秀梅, 杨姗. 数字创业生态系统研究述评与展望[J]. 外国经济与管理, 2022, 44(5):48-63.
|
| [5] |
|
| [6] |
|
| [7] |
|
| [8] |
|
| [9] |
|
| [10] |
|
| [11] |
|
| [12] |
|
| [13] |
Entrepreneurial ecosystems (EE) consist of interacting components, which foster new firm formation and associated regional entrepreneurial activities. Current work on EE, however, focuses on documenting the presence of system components, which means there is little understanding of interdependencies between EE components and their evolutionary dynamics. To address these issues, the objective of the present study is to develop an evolutionary framework of EE development that integrates important components from prior work and describes how critical elements of an entrepreneurial system interact and evolve over time. The value of this framework in understanding the evolutionary dynamics of EE will be demonstrated by profiling the EE of Phoenix, Arizona. The evolutionary perspective developed is valuable because it provides a sense of how history, culture and the institutional setting impact EE. It also provides stakeholders with action points to help maintain or propel an EE to the next level. This is a distinct improvement over static approaches that provide a list of EE ingredients with no sense of their relative importance over time. The proposed framework may also be used in a comparative context to compare and contrast the evolutionary trajectory of EE to better understand why particular places remain trapped in a specific phase of growth or continue to evolve over time.
|
| [14] |
|
| [15] |
|
| [16] |
|
| [17] |
|
| [18] |
|
| [19] |
|
| [20] |
|
| [21] |
|
| [22] |
Digital technology is the representation of information in bits. This technology has reduced the cost of storage, computation, and transmission of data. Research on digital economics examines whether and how digital technology changes economic activity. In this review, we emphasize the reduction in five distinct economic costs associated with digital economic activity: search costs, replication costs, transportation costs, tracking costs, and verification costs.
|
| [23] |
|
| [24] |
申广军. “资本—技能互补”假说:理论、验证及其应用[J]. 经济学(季刊), 2016, 15(4):1653-1682.
|
| [25] |
张恒硕, 李绍萍. 数字基础设施与能源产业高级化:效应与机制[J]. 产业经济研究, 2022, 120(5):15-27.
|
| [26] |
|
| [27] |
马鸿佳, 林樾, 肖彬. 数字创业生态系统中多主体互动对数字创业绩效的影响:基于fsQCA方法的研究[J]. 研究与发展管理, 2022, 34(3):41-53.
|
| [28] |
谢侃侃. 数字共治视角下长三角城市群协同治理的主要实践与对策分析[J]. 技术经济, 2023, 42(2):100-108.
|
| [29] |
|
| [30] |
|
| [31] |
In the last century and a half, U.S. industry has seen the emergence of several different management models. We propose a theory of this evolution based on three nested and interacting processes. First, we identify several successive waves of technological revolution, each of which prompted a corresponding wave of change in the dominant organizational paradigm. Second, nested within these waves, each of these organizational paradigms emerged through two successive cycles—a primary cycle that generated a new management model making the prior organizational paradigm obsolete, and a secondary cycle that generated another model that mitigated the dysfunctions of the primary cycle’s model. Third, nested within each cycle is a problem-solving process in which each model’s development passed through four main phases: (1) identification of a widespread organizational and management problem, (2) creation of innovative managerial concepts that offer various solutions to this problem, (3) emergence and theorization of a new model from among these concepts, and (4) dissemination and diffusion of this model. By linking new models’ emergence to specific technological revolutions, we can explain changes in their contents. By integrating a dialectical account of the paired cycles with an account of the waves of paradigm change, we can see how apparently competing models are better understood as complementary pairs in a common paradigm. And by unpacking each model’s phases of development, we can identify the roles played by various actors and management concepts in driving change in the models’ contents and see the agency behind these structural changes.
|
| [32] |
|
| [33] |
赵卉心, 孟煜杰. 中国城市数字经济与绿色技术创新耦合协调测度与评价[J]. 中国软科学, 2022(9):97-107.
|
| [34] |
|
| [35] |
郭峰, 王靖一, 王芳, 等. 测度中国数字普惠金融发展:指数编制与空间特征[J]. 经济学(季刊), 2020, 19(4):1401-1418.
|
| [36] |
吴艳, 白明君, 贺正楚. 基于动态能力的数字创新生态系统构建:以华为汽车为例[J]. 技术经济, 2024, 43(2):56-67.
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