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长三角城市群新型工业化发展效率测度及收敛性分析

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中国政府提出的全面实施创新驱动发展战略和推进供给侧结构性改革的重要举措之一是推进新型工业化,而提高长三角城市群新型工业化发展效率有利于推动经济转型升级、提升区域竞争力和实现可持续发展.基于2005-2021 年长三角城市群 41 个城市的面板数据,运用超效率 SBM-ML 模型、Dagum 基尼系数、核密度分析以及收敛模型对新型工业化发展效率进行测度并分析其动态演变趋势和收敛特征.结果表明,新型工业化发展效率总体呈现出增长的趋势,增长动力主要来自规模效率变化和技术进步变化;新型工业化发展效率差异总体在缩小,区域间差异是效率差异的主要部分;新型工业化发展效率的空间差距在逐步扩大,存在多级分化现象;四大规模城市均存在σ收敛和β收敛,收敛速度呈 Ⅰ型城市、Ⅱ型城市、特大城市、长三角城市群依次减弱.
Measurement of Development Efficiency and Convergence Analysis of New Industrialisation in the Yangtze River Delta Urban Agglomeration
One of the important measures proposed by the Chinese government to comprehensively implement the innovation-driven development strategy and promote the supply-side structural reform is to promote new industrialisation,and improving the development efficiency of new industrialisation in the Yangtze River Delta(YRD)city cluster is conducive to promoting economic restructuring and upgrading,enhancing regional competitiveness,and achieving sustainable development.Based on the panel data of 41 cities in the Yangtze River Delta Urban Agglomeration from 2005 to 2021,the super-efficiency SBM-ML model,Dagum's Gini coefficient,kernel density analysis,and the convergence model were applied to measure the development efficiency of new industrialisation and its dynamic evolution trend and convergence characteristics were analyzed.The results are as follows.The development efficiency of new industrialisation shows an overall growth trend,and the growth momentum mainly comes from changes in scale efficiency and changes in technological progress.The differences in the development efficiency of new industrialisation are generally shrinking,and the inter-regional differences are the main part of the efficiency differences.The spatial gap in the development efficiency of new industrialisation is gradually expanding,and there is a phenomenon of multilevel differentiation.The four large-scale cities are all There areσ-convergence andβ-convergence,and the speed of convergence decreases in the order of type Ⅰ cities,type Ⅱ cities,mega cities,and the Yangtze River Delta urban agglomeration.

super-efficient SBMMalmquist indexDagum Gini coefficientconvergence model

李子成、王珏

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云南民族大学经济学院,昆明 650504

超效率SBM Malmquist指数 Dagum基尼系数 收敛模型

2024

科技和产业
中国技术经济学会

科技和产业

影响因子:0.361
ISSN:1671-1807
年,卷(期):2024.24(2)
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