ISSN 1008-2204
CN 11-3979/C
MENG Tianguang, ZHANG Xiaojin. Big Data Driven and Government Capacity Building: Theoretical Framework and Innovative Models[J]. Journal of Beijing University of Aeronautics and Astronautics Social Sciences Edition, 2018, 31(1): 18-25. DOI: 10.13766/j.bhsk.1008-2204.2017.0251
Citation: MENG Tianguang, ZHANG Xiaojin. Big Data Driven and Government Capacity Building: Theoretical Framework and Innovative Models[J]. Journal of Beijing University of Aeronautics and Astronautics Social Sciences Edition, 2018, 31(1): 18-25. DOI: 10.13766/j.bhsk.1008-2204.2017.0251

Big Data Driven and Government Capacity Building: Theoretical Framework and Innovative Models

  • With the advent of Big Data Era, the complex governance environment brings significant challenges for traditional government capacity. However, the powerful, innovative and scientific technology innovation prepares basic conditions for improving governance transformation and enhancing government capacity. The big data driven government capacity is based on the advancement of theory and practice of global governance. Combining the Internet technology revolution, massive data sources, and extensive governance issues, this paper summarizes the new development, new dynamics, and new perspective of the government capacity building in Big Data Era. Big Data contributes to the government capacity construction through three channels, namely function extension, technical support and innovative application. Based on global experiences, China should vigorously strengthen the innovative applications such as open government, intelligent government, responsive government and enculturating government to comprehensively promote the government capacity on policymaking, opinion absorbing, integration and cooperation.
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