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环境治理数字化转型成效评估、动态演进与空间收敛

Assessment of Effectiveness,Dynamic Evolution and Spatial Convergence of Digital Transformation of Environmental Governance
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摘要 环境治理数字化转型是推动生态文明建设与治理能力现代化的重要路径,对实现绿色低碳高质量发展具有基础性支撑作用。论文基于中国30个省份2009—2023年的面板数据,采用Super-SBM模型测度环境治理数字化转型效率,并通过核密度估计、马尔科夫链转移概率矩阵及空间收敛模型分析其动态演进与敛散特征。研究发现:(1)我国环境治理数字化转型效率总体呈上升趋势,但区域差异明显,呈现东高西低的核心—边缘结构。(2)各区域动态演进特征差异较大,转型效率存在“俱乐部收敛”现象,实现“跨越式”发展概率较小,且断点回归检验环境治理数字化转型政策对环境治理数字化转型效率具有正向推动作用。(3)全国及各区域环境治理数字化转型效率普遍存在σ收敛、绝对β收敛和条件β收敛特征。此外,产业结构、城镇化水平、科研投入、政府干预、人口密度和对外开放程度对不同区域环境治理数字化转型效率的影响存在显著异质性。 Digital transformation in environmental governance serves as a crucial pathway for advancing ecological civilization and modernizing governance capabilities,providing foundational support for achieving green,low-carbon,and high-quality development.This paper employs a Super-SBM model to measure the efficiency of digital transformation in environmental governance using panel data from 30 Chinese provinces spanning 2009-2023.It analyzes the dynamic evolution and convergence/divergence patterns through kernel density estimation,Markov chain transition probability matrices,and spatial convergence models.Key findings include:(1)China’s environmental governance digital transformation efficiency shows an overall upward trend,yet exhibits pronounced regional disparities,forming a core-periphery structure with higher efficiency in the east and lower in the west.(2)Regional dynamic evolution patterns vary significantly,with transformation efficiency demonstrating“club convergence”phenomena.The probability of achieving“leapfrog”development remains low.Breakpoint regression tests indicate that the digital transformation policy positively promotes environmental governance digital transformation efficiency.(3)Both national and regional digital transformation efficiency exhibitsσ-convergence,absoluteβ-convergence,and conditionalβ-convergence.Furthermore,the impact of industrial structure,urbanization level,R&D investment,government intervention,population density,and openness to foreign trade on digital transformation efficiency shows significant regional heterogeneity.
作者 杨恺钧 罗灏飞 YANG Kaijun;LUO Haofei(School of Economics and Finance,Hohai University,Changzhou Jiangsu 213200,China)
出处 《生态经济》 北大核心 2026年第1期179-191,共13页 Ecological Economy
基金 中央高校基本科研业务费专项资金资助项目“中国新能源汽车发展战略案例研究——以比亚迪、上汽、理想为例”(B230207005)。
关键词 环境治理数字化转型 Super-SBM模型 核密度估计 马尔科夫链 空间收敛模型 digital transformation of environmental governance Super-SBM model kernel density estimation Markov chains spatial convergence models
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