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中国数字乡村建设的区域差异及其归因分析

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基于2019-2020年中国县域数字乡村指数,利用空间面板模型与时空地理加权回归模型探究中国县域数字乡村建设的区域差距及其驱动因素。结果发现:1)中国数字乡村建设水平区域差异明显,呈现出由"东部沿海地区向内陆地区"递减的"阶梯式"空间分异格局。2)数字乡村建设具有明显的空间集聚特征,表现为东部与中部部分地区"高高集聚",西部与东北部地区"低低集聚"。乡村数字基础设施、乡村经济数字化、乡村治理数字化、乡村生活数字化4个分维度指数在空间上表现出以"胡焕庸线"为界明显的地理分异格局;3)政府职能、经济基础、数字基础和人力资本是中国县域数字乡村建设的重要驱动因素,但各因子的影响程度存在县域空间异质性。不同县域应针对各自要素禀赋和关键驱动因子,协同精准推进乡村数字化进程。
Regional Differences of Digital Rural Construction in China and Driving Factors
The digital rural strategy emerged in the context of the high integration of digital economy and rural revitalization,and is an important starting point for effectively promoting rural revitalization and common prosperity.Exploring the development and evolution trend of digital rural construction at the county level and its driving factors helps clarify the advantages and disadvantages of digital rural development in different regions,formulate targeted development measures tailored to local conditions,and realize the"equal improvement on quantity and quality"of digital rural construction."This study was based on the China County-level Digital Rural Index from 2019 to 2020,and it used spatial panel models and spatiot-emporal geographic weighted regression models to explore the regional differences and driving factors of county-level digital rural construction.The following results were obtained:1)There are significant regional differences in the level of digital rural construction,showing a decreasing"ladder like"spatial differentiation pattern from the eastern coastal areas to the inland areas.2)The construction of digital rural areas has obvious spatial agglomeration characteristics.Specifically,it is manifested as"high concentration"in parts of the eastern and central regions,and"low concentration"in the western and northeastern regions.In addition,the four sub-dimensional indexes—rural digital infrastructure,rural economic digitalization,rural governance digitalization,and rural life digitalization—show evident spatial differentiation characteristics,with the"Hu Huanyong Line"as the boundary.3)Regarding mechanism,the spatial panel model was used to verify that government functions,economic foundations,digital foundations,and human capital were important driving factors for the construction of county-level digital rural areas.Combined with the advantages of Geographically and Temporally Weighted Regression model for local parameter estimation,this study verified that different driving factors had significant spatial heterogeneity effects on the construction of digital rural areas in different county-level units.Based on the above-stated conclusions,this study began with the commonalities and characteristics of county-level digital rural construction and proposed that while improving the overall level of digital rural construction,each county-level unit should combine its own advantages and weaknesses,targeting their respective factor endowments and key driving factors,and collaborate to accurately facilitate rural digitization.This study explored the spatiotemporal differentiation characteristics and driving factors of China's digital rural construction at the county level.It has the advantages of reaching the grassroots level and being more detailed and comprehensive compared with provincial scale and municipal scale,which has certain supplementary value to existing research.Moreover,based on the spatial perspective,this study systematically considered the potential spatial heterogeneity characteristics of digital rural construction and used the spatial panel and spatiotemporal geographical weighted regression models to identify the driving factors of digital rural construction,which can help understand the internal driving forces of China's current county digital transformation.

rural digitalizationcounty-leveldigital rural indexspatial panel modelGeographically and Temporally Weighted Regression modelChina

曾永明、钟子康

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江西财经大学 经济学院,南昌 330013

乡村数字化 县域 数字乡村指数 空间面板模型 时空地理加权模型 中国

2025

热带地理
广州地理研究所

热带地理

北大核心
影响因子:0.953
ISSN:1001-5221
年,卷(期):2025.45(1)