长江经济带数字贸易发展水平评价与时空差异研究

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中图分类号：F49，F124.3 文献标志码：A

Abstract： Employing the entropy weight method to assess the digital trade development level index for 1l provinces and cities within the Yangtze River Economic Belt from 2Ol3 to 2O22，this study fur ther investigates regional disparities and spatiotemporal evolution characteristics using the Dagum Gini coefficient，kernel density estimation，and Moran's I. The findings are as follows： （1） Over the sample period，the overall digital trade development in the Yangtze River Economic Belt has shown an upward trend，yet significant spatial disparities are observed，characterized by a pattern of "lower reaches > middle reaches ≈ upper reaches". （2） Regional disparities are evident，with a spatially uneven distribution following an "upper-lower > middle-lower > upper-middle" pattern， primarily driven by disparities among different regions.（3） In terms of dynamic distribution，the overall digital trade level in the Yangtze River Economic Belt is on the rise，with polarization diminishing and regional disparities widening. （4） Spatially，a positive correlation is present， predominantly seen in the form of "high-high" and "low-low" clusters，with clustering characteristics remaining relatively stable.

Key words： digital trade; Dagum Gini coefficient; kernel density estimation; Moran index

随着科技革命和产业变革的加速推进，数据作为生产要素的重要性日益凸显，数字服务成为推动发展的新动力。（剩余9943字）