随着数字经济飞速发展,数字经济发展的不平衡性也相继显现。本文采用熵值法对全国283个城市2011~2021年11年的数字经济发展水平进行综合评价,并运用Dagum基尼系数和Kernel密度估计探索我国283个城市数字经济不平衡的空间特征、来源以及...随着数字经济飞速发展,数字经济发展的不平衡性也相继显现。本文采用熵值法对全国283个城市2011~2021年11年的数字经济发展水平进行综合评价,并运用Dagum基尼系数和Kernel密度估计探索我国283个城市数字经济不平衡的空间特征、来源以及演变趋势。研究结果表明:2011~2021年我国数字经济发展水平呈全面增长的态势,呈现出“东部领先西部追赶”、“沿海经济带活跃度显著高于内陆地区”的差异化特征;其中从区域内部来看,东部地区城市间的不平衡程度最高;从区域间来看,东、西部地区间的不平衡程度最高,亟需进一步弥合各城市之间的数字经济发展差距。With the rapid development of the digital economy, its imbalances have also emerged successively. This paper employs the entropy method to comprehensively evaluate the digital economy development level of 283 prefecture-level cities across China over an 11-year period from 2011 to 2021. Furthermore, the Dagum Gini coefficient and Kernel density estimation are utilized to explore the spatial characteristics, sources, and evolution trends of the imbalances in the digital economy among these 283 prefecture-level cities. The research findings indicate that China’s digital economy has experienced an overall growth trend from 2011 to 2021, characterized by a differentiated pattern of “the east leading and the west catching up” and “significantly higher activity in coastal economic belts compared to inland regions.” Within regions, the highest degree of imbalance is observed among cities in the eastern region. Inter-regionally, the imbalance between the eastern and western regions is the most pronounced, highlighting the urgent need to bridge the digital economy development gaps among cities.展开更多
文摘随着数字经济飞速发展,数字经济发展的不平衡性也相继显现。本文采用熵值法对全国283个城市2011~2021年11年的数字经济发展水平进行综合评价,并运用Dagum基尼系数和Kernel密度估计探索我国283个城市数字经济不平衡的空间特征、来源以及演变趋势。研究结果表明:2011~2021年我国数字经济发展水平呈全面增长的态势,呈现出“东部领先西部追赶”、“沿海经济带活跃度显著高于内陆地区”的差异化特征;其中从区域内部来看,东部地区城市间的不平衡程度最高;从区域间来看,东、西部地区间的不平衡程度最高,亟需进一步弥合各城市之间的数字经济发展差距。With the rapid development of the digital economy, its imbalances have also emerged successively. This paper employs the entropy method to comprehensively evaluate the digital economy development level of 283 prefecture-level cities across China over an 11-year period from 2011 to 2021. Furthermore, the Dagum Gini coefficient and Kernel density estimation are utilized to explore the spatial characteristics, sources, and evolution trends of the imbalances in the digital economy among these 283 prefecture-level cities. The research findings indicate that China’s digital economy has experienced an overall growth trend from 2011 to 2021, characterized by a differentiated pattern of “the east leading and the west catching up” and “significantly higher activity in coastal economic belts compared to inland regions.” Within regions, the highest degree of imbalance is observed among cities in the eastern region. Inter-regionally, the imbalance between the eastern and western regions is the most pronounced, highlighting the urgent need to bridge the digital economy development gaps among cities.