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数字经济驱动中国制造转型升级研究
引用本文:王金波, 王凯, 王佳. 中国数字经济发展水平的时空分异化及其收敛性研究[J]. 西部经济管理论坛, 2024, 35(2): 75-88. DOI: 10.12181/jjgl.2024.02.08
作者姓名:王金波  王凯  王佳
作者单位:1.德州学院经济管理学院 山东德州 253000;2.浙江万里学院商学院 浙江宁波 315000
基金项目:国家自然科学基金青年项目 “OFDI二元边际扩张对民营企业出口贸易品技术含量的影响研究” (71903181);德州市哲学社会科学研究课题 “中国数字经济发展水平的时空分异化及其收敛性” (2023DZZS007);德州学院博士基金项目 “数字经济与经济高质量发展:机制、特征与实证” (30103513)。
摘    要:

在数字经济发展的背景下,探究数字经济发展的时空格局和收敛性问题,对于促进地区协调发展具有重要的现实意义。文章基于选取的2011—2021年我国30个省份的面板数据,采用熵权法构建了中国数字经济综合指数,并利用核密度估计考察了中国数字经济的地区非均衡性及动态演化规律,同时采用变异系数法与空间计量模型检验了数字经济的收敛特性。研究发现:中国数字经济的发展呈现出以东部沿海省份为核心,中西部内陆省份为外围的“核心—边缘”结构,“数字鸿沟”特征明显;“H-H”集聚与“L-L”集聚构成了中国数字经济发展的主要格局,呈现出一定的极化特征,并且随着时间的推移极化特征有所减弱,非对称结构趋于缓解。计量结果显示:中国数字经济发展水平具有

关 键 词:数字经济  时空格局  动态演化  收敛特性
收稿时间:2023-08-13

Research on the Spatiotemporal Differentiation and Convergence of China's Digital Economy Development Level
Wang Jinbo, Wang Kai, Wang Jia. Research on the Spatiotemporal Differentiation and Convergence of China's Digital Economy Development Level[J]. West Forum on Economy and Management, 2024, 35(2): 75-88. DOI: 10.12181/jjgl.2024.02.08
Authors:Wang Jinbo  Wang Kai  Wang Jia
Affiliation:1.School of Economics and Management, Dezhou University, Dezhou, Shandong 253000,China;2.Business School, Zhejiang Wanli University, Ningbo, Zhejiang 315000, China
Abstract:In the context of the development of the digital economy, exploring the spatiotemporal pattern and convergence issues of digital economic development is of significant practical importance in promoting regional coordinated development. Based on panel data from 30 provinces in China from 2011 to 2021, the article used the entropy weight method to construct the comprehensive index of China's digital economy. It examined the regional unevenness and dynamic evolution patterns of China's digital economy using kernel density estimation, and tested the convergence characteristics of the digital economy using the coefficient of variation method and spatial econometric models. It is found that the development of China's digital economy exhibits a “core-periphery” structure with eastern coastal provinces as the core and central and western inland provinces as the periphery, showing clear characteristics of a “digital divide.” The main pattern of China's digital economic development consists of “H-H” agglomeration and “L-L” agglomeration, displaying a certain degree of polarization. Over time, this polarization has weakened, and the asymmetric structure is gradually easing. The econometric results reveal that the level of development of China's digital economy exhibits characteristics of δ-convergence, β-convergence, and club convergence, but with varying convergence speeds in different regions. Compared to the eastern region, the central and western regions show a significant “catch-up effect,” and the convergence speed demonstrates a “differentiation feature” among provinces. Therefore, it is recommended that the government follow a collaborative approach to understand the spatiotemporal evolution patterns of China's digital economy and optimize regional structures, aiming to achieve common development among regions.
Keywords:digital economy  spatiotemporal pattern  dynamic evolution  convergence characteristics
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