JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A ›› 2018, Vol. 31 ›› Issue (1): 18-25.DOI: 10.13766/j.bhsk.1008-2204.2017.0251

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

MENG Tianguang, ZHANG Xiaojin   

  1. School of Social Sciences, Tsinghua University, Beijing 100084, China
  • Received:2017-09-01 Online:2018-01-25 Published:2018-01-31


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.

Key words: big data, big data driven, government capacity, government innovation, scientific technology innovation

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