大数据推动精准扶贫的实践路径研究——以贵州省为例

Research on the Practical Path of Promoting Targeted Poverty Alleviation with Big Data—A Case Study of Guizhou Province

摘要: 精准脱贫是当前党中央最为关心的问题之一，也是社会关注的热点问题。自精准扶贫战略实施以来，我国贫困人口大幅减少，贫困发生率持续降低，为全球扶贫做出了巨大贡献。然而随着精准扶贫的深入，实践中存在的技术落后、数据失真以及资源分散等问题，影响了精准扶贫的成效，随着物联网技术的普及，运用大数据来推动精准扶贫引起了大家的关注。本文将从大数据的视角出发，分析贵州省“扶贫云”系统中大数据技术的应用，在肯定其成功经验的同时指出其中存在的不足，探究如何运用大数据技术推动我国精准扶贫工作的发展，以进一步提高精准扶贫的工作效率。

Abstract: Accurate poverty alleviation is one of the most concerned issues of the Party Central Committee and a hot issue of concern to the society. Since the implementation of the targeted poverty alleviation Strategy, the number of poor people in China has been greatly reduced, and the incidence of poverty has been continuously reduced, making great contributions to global poverty alleviation. However, with the deepening of targeted poverty alleviation, problems such as technical backwardness, data distortion and resource dispersion in practice have affected the effectiveness of targeted poverty alleviation. With the popularization of Internet of things technology, the application of big data to promote targeted poverty alleviation has attracted people’s attention. From the perspective of big data, this paper analyzes the application of big data technology in Guizhou Province’s “poverty alleviation cloud” system. While affirming its successful experience, it also points out its shortcomings, and explores how to use big data technology to promote the development of targeted poverty alleviation in China, so as to further improve the efficiency of targeted poverty alleviation.