大数据驱动下的反贫困治理模式创新研究

The Role of Big Data Used for Anti-poverty Governance and its Model Innovation

政府主导下的反贫困治理模式在实际的运行中因贫困数据失真、"信息黑箱"、信息不对称、被动救助等因素引发贫困治理成效不佳的问题。加强资源整合、增加贫困者的自主选择性实现供需对接是破除当前反贫困治理困境的关键。大数据的有效整合利用有助于提升决策的科学化及政策执行的透明化,设计以贫困者为核心的反贫困治理系统模式,借助观念塑造、政策指导、行动强化、资源配置等措施实现数据云系统、行政调配系统、资源整合系统及组织分化系统的有效运行可以化解数据失真等造成的贫困治理难题。

At present, the anti-poverty governance mode dominated by government becomes difficult to process in practice, owing to poverty data distortion, ＂black box＂ information, information asymmetry and passive rescue. The key to breaking current anti-poverty governance dilemma is to integrate resources and increase the poor＇ s independent selectivity to achieve the clocking of supply and demand. With big data as the carrier,the administrative system uses data cloud to interact with the poor, precisely classifies the poor＇ s data, and directs the resources integration to meet the demand of the poor and the psychological adjustment to avoid thecontradiction between different poor participants, so as to promote better resources integration and development of poverty alleviation, to constantly update feedback to the administrative allocation system and expand neworganization and resources to involve in the process of poverty alleviation to improve the fitness between supply and demand.