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| Quantitative Analysis of Data Governance Policies in China: Policy Evolution Path, Policy Subject, Sources of Policy, and Policy Tools |
| Huo Fanfan1, Huo Chaoguang1, Ma Haiqun2 |
1.School of Information Resource Management, Renmin University of China, Beijing 100872
2.School of Information Management, Heilongjiang University, Harbin 150080 |
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Abstract Data governance policy, by establishing the rules and criteria for data governance, is crucial for the development of China’s digital economy, especially regarding data production factors. This article integrates policy external structural elements and policy content elements to propose a policy analysis framework including the evolution path, policy subjects, sources of policy, and policy tools for the analysis of the 1097 central data governance policies. We use key policies and important events to depict the evolution path, analyze the policy subjects involved in policy-making, trace the sources of policy, and characterize the policy tool structure based on the policy coding. We find that some core departments of data governance policy making need to strengthen the awareness of data governance. The construction of National Data Bureau is an urgent necessity and a significant action in top-level design to which all departments should actively respond. Policy-making should ensure that authoritative policies strengthen the long-term effectiveness and impact of policy. Our coding analysis, based on the two dimensions of tool dimension and content dimension, identifies imbalances and deficiencies in the policy tools structure, showing that not only leading and controlling tools but also strong basic support and demonstration promotion measures are needed to ensure the health and vitality of data economic development.
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Received: 05 October 2022
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