首页|数字创新效率测度与差异分析——基于省域面板数据

数字创新效率测度与差异分析——基于省域面板数据

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数字创新是现代数字经济发展重要的推动力,基于2011-2021年省域面板数据,利用三阶段DEA模型测度中国数字创新效率并利用基尼系数分析效率差异特征.研究结果显示:全国数字创新平均综合效率值为0.147,整体水平偏低;效率值总体基尼系数均大于0.6,数字创新效率差异较大,并且差异较大的原因在于地区间数字创新效率差异较大;地区固定资产投资和互联网用户数越高,数字创新效率越高.基于此,提出加大固定资产投资力度、创新投资方式,加快数字网络基础设施建设、改善互联网服务力度,科学合理布局产业,协调地区之间数字创新发展的建议.
Measurement and Difference Analysis of Digital Innovation Efficiency Based on Provincial Panel Data
Digital innovation is an important driving force for the development of modern digital economy.Based on provincial panel data from 2011 to 2021,a three-stage DEA model is used to measure the efficiency of digital innovation in China,and the Gini coefficient is used to analyze the characteristics of efficiency differ-ences.The research results show that the average comprehensive efficiency of digital innovation in China is 0.147,which is relatively low overall;the overall Gini coefficient of efficiency values is greater than 0.6,indica-ting significant differences in digital innovation efficiency.The reason for these differences is that there are sig-nificant differences in digital innovation efficiency between regions;the higher the number of regional fixed assets investment and Internet users,the higher the efficiency of digital innovation.Based on the conclusion,sugges-tions are put forward to increase fixed assets investment,innovate investment methods,accelerate the construc-tion of digital network infrastructure,improve Internet services,scientifically and rationally distribute industries,and coordinate digital innovation and development among regions.

digital innovation efficiencythree stage DEA modelDagum Gini coefficientdifference anal-ysis

韩颖、李小胜

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铜陵学院经济学院,安徽铜陵 244000

安徽财经大学统计与应用数学学院,安徽蚌埠 233030

数字创新效率 三阶段DEA模型 Dagum基尼系数 差异分析

国家社会科学基金铜陵学院自然科学研究科研项目铜陵学院自然科学研究科研项目

23BTJ0012022tlxy16

2024

黑龙江工业学院学报(综合版)
鸡西大学

黑龙江工业学院学报(综合版)

影响因子:0.211
ISSN:1672-6758
年,卷(期):2024.24(3)
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