中游≈上游"的特征。(2)從地區(qū)差異上來看,區(qū)域差異呈現(xiàn)“上-下 > 中-下 > 上-中”的空間非均衡分布態(tài)勢,主要差異來源于地區(qū)間差異。(3)從分布動態(tài)演進(jìn)上來看,長江經(jīng)濟(jì)帶總體數(shù)字貿(mào)易水平不斷提高,極化現(xiàn)象不斷減弱,區(qū)域間差距呈擴(kuò)大趨勢。(4)從空間關(guān)聯(lián)來看,存在正向空間相關(guān)性,并且主要表現(xiàn)于“高-高"和“低-低"集聚,集聚特征基本穩(wěn)定。-龍?jiān)雌诳W(wǎng)" />

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長江經(jīng)濟(jì)帶數(shù)字貿(mào)易發(fā)展水平評價與時空差異研究

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中圖分類號:F49,F(xiàn)124.3 文獻(xiàn)標(biāo)志碼: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

隨著科技革命和產(chǎn)業(yè)變革的加速推進(jìn),數(shù)據(jù)作為生產(chǎn)要素的重要性日益凸顯,數(shù)字服務(wù)成為推動發(fā)展的新動力。(剩余9943字)

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