Configuration Analysis of Influencing Factors on the Development of Data Factor Markets: A
Perspective Based on Multi-Center Governance

Abstract

Abstract: The rise of the data factor market plays a crucial role in China's path to modernization, with its development poised to reshape industrial ecosystems and facilitate the achievement of modernization goals. The unique characteristics of data factor, such as non-competitiveness, externality, replicability, and measurability, dictate the special complexity of governing the data factor market, needing the establishment of unique governance mechanisms to ensure the secure and efficient circulation of data factor. Due to the involvement of diverse data types, domains, and scenarios, a singular management approach falls short of covering its diversity, thus requiring industry-driven integration. Additionally, the multitude of stakeholders in the data factor market makes it challenging for a single governing body to address public issues adequately. Moreover, widespread support for governance principles may be challenged, leading to potential power imbalances that could harm the interests of other participants. However, governing the data factor market is a complex endeavor involving multiple stakeholders, stages, and levels, and analyzing it solely from a single governance dimension is insufficient. Currently, there is a lack of a comprehensive theoretical framework to reveal how different governance factors interact synergistically and influence the development of the data factor market. Through exploring the development trajectory of the data factor market from a configuration perspective, focusing on the theoretical framework of multi-stakeholder integrated governance and the combined effect of governance factors in driving market development. It aims to uncover the synergistic mechanisms of multi-dimensional governance and promote high-quality development tailored to local conditions, fostering a fair, competitive, and well-regulated market environment.It is not only an important practical issue but also a scientific problem in urgent need of resolution. Drawing on existing research and integrating polycentric governance theory, the study employs fuzzy set qualitative comparative analysis (fsQCA) to reveal the path choices of data factor market governance in different regions of China, answering two key questions: what are the governance mechanisms of the data factor market, and what governance paths drive its development? By addressing these questions, the study provides theoretical support for the complex governance mechanisms and logical relationships underlying the data factor market. The findings show that government, market, and public participation factors alone cannot constitute necessary conditions for an important level of data factor market development, emphasizing the need to balance multiple factors simultaneously. Furthermore, there are six paths to enhance data factor market development, reflecting the importance of multi-stakeholder collaborative governance. Finally, market mechanisms appear as core influencing factors across all paths toward high development levels, highlighting their critical role in polycentric governance. The conclusions offer practical insights into the design and formulation of governance and regulatory schemes for the data factor market. Firstly, governance of the data factor market should focus on the comprehensive balance and synergistic effects among government, market, and public participation factors. Secondly, market mechanisms play a crucial role in data factor market governance, causing a focus on their construction. Lastly, the choice of governance path for the data factor market should be tailored to local conditions, considering regional economic development, business environments, and platform construction.

Key words: polycentric governance theory, data factor market governance, data factor market, qualitative comparative analysis, configuration analysis

CLC Number:

F273.1
F49

YU Qing , SHI Yanwen , SUN Kexin , ZHANG Xi . Configuration Analysis of Influencing Factors on the Development of Data Factor Markets: A Perspective Based on Multi-Center Governance[J]. Science of Science and Management of S. & T., 2024, 45(04): 157-172.

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Configuration Analysis of Influencing Factors on the Development of Data Factor Markets: A Perspective Based on Multi-Center Governance

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