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生态环境大数据背景下环境治理的路径优化研究

李祎恒 吴嘉慧

大数据2025,Vol.11Issue(2):167-176,10.
大数据2025,Vol.11Issue(2):167-176,10.DOI:10.11959/j.issn.2096-0271.2025024

生态环境大数据背景下环境治理的路径优化研究

Research on the optimization of environmental governance pathways under the background of ecological environment big data

李祎恒 1吴嘉慧1

作者信息

  • 1. 河海大学法学院,江苏 南京 211100
  • 折叠

摘要

Abstract

Ecological environment big data,as an important part of the new quality productivity,helps promoting efficient,scientific and precise environmental governance and realizing the intelligent transformation of environmental governance.However,the current application of ecological environment big data in China's environmental governance practice faces practical difficulties:firstly,the lack of legal regulations on data utilization hinders data utilization,leading to difficulties in data retrieval;secondly,the insufficient security technology guarantee for ecological environment big data results in data security risks,such as data distortion and data leakage;thirdly,the inadequate regulatory system for big data algorithms leds to algorithmic discrimination and disrupts China's environmental governance ecosystem.To solve the current problems,this paper starts from three aspects:strengthening legislation,technical support,and supervision and management.Combined with China's environmental governance practice,we need to continuously explore new paths for ecological environment big data governance in China through strengthening the construction of basic legal systems for data,enhancing privacy protection,researching digital security technologies such as blockchain,and improving algorithm supervision methods.This paper lays a solid foundation for achieving modernization of environmental governance.

关键词

生态环境大数据/环境治理/数据安全/区块链/算法监督

Key words

ecological environment big data/environmental governance/data security/blockchain/algorithmic supervision

分类

社会科学

引用本文复制引用

李祎恒,吴嘉慧..生态环境大数据背景下环境治理的路径优化研究[J].大数据,2025,11(2):167-176,10.

基金项目

国家社会科学基金项目(No.23BFX036) The National Social Science Fundation of China(No.23BFX036) (No.23BFX036)

大数据

2096-0271

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