北京航空航天大学学报(社会科学版) ›› 2018, Vol. 31 ›› Issue (1): 18-25.DOI: 10.13766/j.bhsk.1008-2204.2017.0251

• 本期特约专家稿件 • 上一篇    下一篇

大数据驱动与政府治理能力提升——理论框架与模式创新

孟天广, 张小劲   

  1. 清华大学 社会科学学院, 北京 100084
  • 收稿日期:2017-09-01 出版日期:2018-01-25 发布日期:2018-01-31
  • 作者简介:孟天广(1983-),男,甘肃庆阳人,副教授,博士,研究方向为中国政府与政治、政治学研究方法.
  • 基金资助:

    国家社会科学基金青年项目(15CZZ036);国家社会科学基金重大项目(16ZDA059)

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

摘要:

大数据时代的到来,集中体现为复杂多变的治理环境向传统的政府治理能力提出了挑战,但强大新颖的科技创新又为政府治理转型及其能力提升准备了必要的基础条件。"大数据驱动的政府治理能力"依托于治理理论和实践的发展,结合了互联网技术革命,是一种互联网和海量数据支撑的、涵盖了更广泛内涵的政府治理能力,概括了政府治理能力建设在大数据时代所呈现出的新发展、新动态和新前景,这集中反映在功能拓展、技术支撑和应用创新三方面。结合理论发展和实践应用,当前中国应大力强化基于大数据的开放政府、智慧政府、回应政府和濡化政府等模式创新,以全面提升政府决策能力、吸纳能力、整合能力、濡化能力和传统政府能力。

关键词: 大数据, 大数据驱动, 政府治理能力, 政府创新, 科技创新

Abstract:

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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