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数智融合发展水平测度、区域差异及演进特征

杨浩昌 赖孟 李廉水

统计与决策2025,Vol.41Issue(22):49-54,6.
统计与决策2025,Vol.41Issue(22):49-54,6.DOI:10.13546/j.cnki.tjyjc.2025.22.008

数智融合发展水平测度、区域差异及演进特征

Measurement,Regional Differences and Evolution Characteristics of the Development Level of Digitalization-Intelligentization Integration

杨浩昌 1赖孟 1李廉水2

作者信息

  • 1. 南昌大学 经济管理学院,南昌 330031
  • 2. 南京信息工程大学 中国制造业发展研究院,南京 210044
  • 折叠

摘要

Abstract

Based on the statistical data of 30 provinces in China from 2012 to 2022,this paper constructs an evaluation index system for the level of digitalization and intelligentization integration from the aspects of digitalization and intelligentization,then uses the Dagum Gini coefficient and its decomposition method to reveal the regional differences and their sources in the level of digitalization and intelligentization integration,and finally applies the Moran's index,kernel density estimation and Markov chain to describe the dynamic evolution characteristics of the development level of digitalization and intelligentization integration.The results go as below:The overall development level of digitalization and intelligentization integration in China is not high but shows an upward trend,exhibiting a spatially declining pattern from east to west with an increasingly pronounced imbalance,indicating significant regional disparities.The development of digitalization and intelligentization integration is unbalanced;the differences mainly stem from inter-regional differences,and these differences are gradually expanding.The development level of digitalization and intelligentization integration shows a multi-polar differentiation trend,with a significant spatial agglomeration.Most provinces are located in"high-high"and"low-low"agglomeration areas and have a strong spatial dependence.

关键词

数智融合/数字化/智能化/Dagum基尼系数/空间马尔科夫链

Key words

digitalization and intelligentization integration/digitalization/intelligentization/Dagum Gini coefficient/spatial Markov chain

分类

管理科学

引用本文复制引用

杨浩昌,赖孟,李廉水..数智融合发展水平测度、区域差异及演进特征[J].统计与决策,2025,41(22):49-54,6.

基金项目

国家自然科学基金资助项目(72574094) (72574094)

教育部人文社会科学研究基金项目(24YJC790213) (24YJC790213)

江西省高校人文社会科学研究项目(JJ24106) (JJ24106)

江西省研究生教育教学改革研究课题(JXYJG-2024-011) (JXYJG-2024-011)

统计与决策

OA北大核心

1002-6487

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