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    长江经济带数字经济空间格局及影响因素
    钟业喜, 毛炜圣
    江西师范大学 地理与环境学院, 江西 南昌 330022
    摘要:
    发展数字经济对长江经济带落实创新驱动战略、实现经济高质量发展、解决发展不平衡不充分问题具有重要推动作用。文章基于数字经济指数,采用空间计量模型、数理统计分析等方法,探讨了长江经济带数字经济水平空间格局及其影响因素。结果表明:长江经济带数字经济发展水平整体偏低,地理分布差异显著,发展水平由下游向上游递减;数字经济城市等级体系不由经济水平所主导,不完全遵循已有的基于地理空间的等级体系;长江经济带数字经济呈热点区-过渡区-次热点区-冷点区的"驼峰"状空间分异格局,上海、苏州、嘉兴等城市为数字经济热点区;地理加权回归结果显示,信息化水平、城市等级、产业结构显著提高了长江经济带数字经济发展水平,经济水平、人口规模、人力资本作用甚微,意味着经济基础较差的地区也可以依靠提升信息基础设施、推动产业升级发展数字经济以实现经济"换道超车"。据此,提出设立机构,制定政策,促进数字经济壮大;打造基地,培育品牌,提升数字经济实力;深化合作,深入对接,创新数字经济模式等建议。
    关键词:  数字经济  空间格局  空间自相关  GWR模型  长江经济带
    DOI:10.11835/j.issn.1008-5831.jg.2019.05.002
    分类号:F061.5;K902
    基金项目:国家自然科学基金项目"城市群空间结构效应研究——以长江中游城市群为例"(41561025)
    Spatial differentiation of digital economy and its influencing factors in the Yangtze River Economic Belt
    ZHONG Yexi, MAO Weisheng
    School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, P. R. China
    Abstract:
    The development of the digital economy has played an important role in promoting the innovation-driven strategy of the Yangtze River Economic Belt,in achieving high-quality economic development,and in addressing the problem of inadequate development imbalance. Based on the digital economic index,by using spatial econometric model and mathematical statistics analysis,this paper attempts to explore the spatial pattern of the digital economy in the Yangtze River Economic Belt and its influencing factors. The results show that the development level of the digital economy in the Yangtze River Economic Belt is generally low,the geographical distribution is significantly different,and the development level is decreasing from the downstream to the upstream. The digital economic city hierarchy is not dominated by the economic level and does not completely follow the existing geospatial-based hierarchy. The digital economy of the Yangtze River Economic Belt is a hotspot-transitional-secondary hotspot-cold-point spatial differentiation pattern,and cities such as Shanghai,Suzhou,and Jiaxing are digital economic hotspots; geographically weighted regression results show that information level of development,city level,and industrial structure have significantly improved the level of digital economic development in the Yangtze River Economic Belt. The economic level,population size,and human capital have little effect,which means that regions with poor economic bases can also rely on upgrading information infrastructure and promoting industrial upgrading,and develop the digital economy to achieve economic "changing the road and overtaking". Accordingly,it is proposed to set up institutions to formulate policies to promote the growth of the digital economy,create a base,cultivate a brand,and enhance the digital economy,deepen cooperation,and innovate digital economic models.
    Key words:  digital economy  spatial differentiation  spatial autocorrelation  GWR model  the Yangtze River Economic Belt
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