首页|中国数字经济空间网络及溢出效应研究

中国数字经济空间网络及溢出效应研究

扫码查看
随着数字技术的蓬勃发展,数字经济成为一种全新的经济模式,为改善供需匹配、提升资源配置和促进经济转型升级提供了强大动力.为了全面分析数字经济发展的整体情况和空间关系,首先,对中国的31个省、区、市建立了数字经济评价指标体系,并通过修正的引力模型计算引力值,进而构建空间网络;然后,通过全局莫兰指数探究数字经济发展水平在空间上的依赖关系;最后,建立时空双固定杜宾模型,分析数字经济发展水平的影响因素和溢出效应.结果表明:中国数字经济发展空间网络不够紧密,区域间差异明显,邻近相依;城镇化水平的提升不仅促进本省、区、市的数字经济发展,还能间接带动邻省、区、市的发展,有很强的空间溢出效应,但人力资本水平对周边地区的数字经济发展有抑制效应.
Spatial network and spillover effect of Chinese digital economy
With the vigorous development of digital technologies, digital economy has become a brand economic model, providing a strong driving force for improving the matching of supply and demand, enhancing the allocation of resources, and promoting economic transformation and upgrading. To comprehensively analyze the overall situation of the development of digital economy and the spatial relationship, firstly, the digital economy evaluation index system was established for 31 provinces (municipalities and autonomous regions) in China, and the gravity value was calculated by the revised gravity model to build the spatial network. Secondly, the spatial dependence of regions was explored through the global Moran indexes. Finally, the space-time fixed Durbin model was established to analyze the influence of explanatory variables effected on the development of digital economy and their spatial spillover. The results are as follows: China's digital economy development spatial network is not compact enough. The difference among regions is obvious and neighboring regions depend on each other. The improvement of urbanization level not only promotes the development of digital economy in the province involved, but also indirectly drives the improvement of neighboring provinces, which is a strong spatial spillover effect, while the human capital level has a restraining effect.

digital economygravity modelnetworkspatial spillover effectspatial econometrics

牛奉高、史若玉

展开 >

山西大学数学科学学院,山西 太原 030006

数字经济 引力模型 网络 空间溢出效应 空间计量

山西省社会经济统计科研综合重点课题

KYZH[2021]007

2024

大数据
人民邮电出版社

大数据

CSTPCD
ISSN:2096-0271
年,卷(期):2024.10(4)
  • 5