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作 者:胡卫卫 魏可心 HU Weiwei;WEI Kexin(Center for Research and Evaluation of Rural Revitalization in the Yellow River Basin,Northwest A&F University,Yangling,Shaanxi 712100,China)
机构地区:[1]西北农林科技大学黄河流域乡村振兴研究与评估中心,陕西杨凌712100
出 处:《西北农林科技大学学报(社会科学版)》2025年第1期1-9,共9页Journal of Northwest A&F University(Social Science Edition)
基 金:国家社会科学基金重大项目(22ZDA101);陕西省社会科学基金年度项目(2024F006);福建省社会科学研究基地重大项目(FJ2022MJDZ022)。
摘 要:我国数字乡村建设已进入攻坚期与深水区,传统的刚性治理机制在数字化的乡村风险治理场域中面临诸多难题,而公共服务系统的“停滞”、基层政权体系的“梗阻”、社会组织机构的“失灵”以及农村居民主体的“蒙蔽”等现实困境严重掣肘数字乡村韧性的建构。复杂适应系统理论因契合风险治理主体、客体和环境的内在逻辑,与数字乡村治理情境的复杂性之间存在高度耦合。以关中平原H村的数字乡村韧性实践为考察个案,以复杂适应系统理论为解释工具,深入剖析数字赋能乡村韧性建构的逻辑理路。研究认为,借助数字赋能的感知逻辑、信息驱动的应对逻辑、多元共建的控制逻辑以及制度管控的防范逻辑,可以有效搭建数字乡村复杂性风险的韧性框架。基于此,通过搭建数字底座,优化制度体系,完善心理机制和吸纳多元主体的举措能有效化解数字乡村建设中的复杂性和不确定性风险。With the digital rural construction of China entering the critical period and the deep water area,the traditional rigid governance mechanism is facing many problems in the digital rural risk governance field,the“Stagnation”of the public service system,the“Obstruction”of the grassroots political system,the“Failure”of social organizations and the“Hoodwinking”of rural residents seriously hinder the construction of digital rural resilience.The Complex adaptive system theory is highly coupled with the complexity of digital rural governance because it fits the internal logic of the subject,object and environment of risk governance.This paper takes H village in Guanzhong Plain as a case study and Complex adaptive system theory as an explanation tool to deeply analyze the logic of digital-enabled rural resilience construction.It is concluded that the resilience framework of digital rural complexity risk can be effectively built by means of the perceived logic of digital empowerment,the response logic of information-driven,the control logic of multi-element co-construction and the guard logic of institutional control.Based on this,by building a digital base,optimizing the system,improving the psychological mechanism and absorbing the multi-subject measures can effectively resolve the complexity and uncertainty risk in the digital rural construction.
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