摘要
优化法治化营商环境已成为提升城市治理效能的重要抓手。本研究基于2008~2023年我国城市数据,构建了涵盖信息公开、司法服务与处罚信息的评价体系,运用熵权法测算了法治营商环境得分,并结合K-Means与DTW聚类方法识别了城市演化路径。研究表明:全国法治环境整体改善,但区域差异显著;城市法治营商环境则呈现出3种不同发展类型。据此,本研究提出了因城施策、区域协同与数据治理等优化建议。
Optimizing the rule-of-law business environment has become a crucial lever for enhancing urban governance efficacy.This study constructs an evaluation framework incorporating information transparency,judicial services,and regulatory enforcement indicators using city-level data(2008-2023).Through the entropy weight method(EWM),we quantify legal environment scores,then employ K-Means clustering and Dynamic Time Warping(DTW)algorithms to identify three distinctive urban development trajectories.Findings reveal:(1)nationwide improvement in legal environments with accelerating regional divergence,(2)the rule-of-law business environment in cities presents three different types of development.Based on this,we propose policy recommendations including customized governance approaches,inter-regional coordination mechanisms,and intelligent legal data systems.
作者
高金来
卢涛
GAO Jinlai;LU Tao(School of Economics and Management,University of Chinese Academy of Sciences,Beijing 100190)
出处
《科技促进发展》
2025年第4期291-300,共10页
Science & Technology for Development
基金
2019年国家自然科学基金面上项目(71974179)的基金支持。
关键词
法治营商环境
K-MEANS聚类
DTW聚类
动态演化
rule-of-law business environment
K-Means Clustering Algorithm
Dynamic Time Warping(DTW)
Policy Customization
spatio-temporal evolution
作者简介
高金来,在读硕士研究生,研究方向:营商环境、风险管理;通讯作者:卢涛,副教授,研究领域:技术创新管理、创新与创业管理、数字信息资源管理。
