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人工智能实施背景下的环境风险控制——以社会源危险废弃物全程追踪机制为样本

Environment Risk Control under the Background of Artificial Intelligence Implementation

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【作者】 钭晓东赵文萍

【Author】 Tou Xiaodong;Zhao Wenping;

【机构】 厦门大学南海研究院宁波大学法学院

【摘要】 目前,末端治理的方式已经难以达到控制社会源危险废弃物环境风险的理想效果,必须以新的手段重塑其治理措施、治理强度、治理效力等。以条形码技术作为社会源危险废弃物全程追踪治理机制的切入点,既可解决现有规制空白的理论窘境,又可从制度设计上解决其现实困惑,不失为社会源危险废弃物污染治理及环境保护的可行路径。条形码与社会源危险废弃物的全新结合提供了一种全程追溯、节点分责,以及可持续的动态循环的有效、双赢的模式,从而实现对破坏性材料的从"摇篮"到"坟墓"的全过程控制。

【Abstract】 In this context, the end-of-pipe management method is difficult to achieve the ideal effect of controlling the pollution risk of household hazardous wastes. It is necessary to rethink the issues of governance measures, governance intensity, and governance effectiveness. Barcode technology is the entry point for the whole process of tracking and controlling the hazardous wastes of social sources. It can not only solve the problem of regulatory blanks, but also solve the practical confusion it faces. It is also feasible for the household hazardous waste pollution control and environmental protection. At this time, "Barcode and Household Hazardous Waste" provides an effective, win-win model: full traceability, node responsibilities,and sustainable dynamic cycles, from cradle to grave control of current destructive materials.

【基金】 国家社科基金重大招标项目“社会源危险废弃物环境责任界定与治理机制研究”(16ZDA072)阶段性成果
  • 【文献出处】 中国高校社会科学 ,Social Sciences in Chinese Higher Education Institutions , 编辑部邮箱 ,2019年05期
  • 【分类号】X327
  • 【被引频次】2
  • 【下载频次】289
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