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An Empirical Study On The Impact Of Digital Economy On The High-quality Development Of Public Service

Posted on:2024-09-08Degree:MasterType:Thesis
Country:ChinaCandidate:W WenFull Text:PDF
GTID:2556307133995459Subject:Applied statistics
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In 2020,China’s digital economy accounted for about 38.6% of GDP,and the scale of the global digital economy accounted for 43.7% of GDP.The digital economy has become a new driving force for China’s and even global economic development,and is rewriting and restructuring the world economic landscape.After winning the battle against poverty and building a moderately prosperous society in all respects in 2020,the public has raised higher expectations for the high-quality and equitable development of public services,which play a more important role in promoting common prosperity,The Fifth Plenary Session of the 19 th Central Committee of the Communist Party of China proposed that "we should strengthen the construction of digital society and digital government,and improve the digital intelligence level of public services and social governance",which points out the way forward for the high-quality development of public services in China,namely,promoting the deep integration of digital economy and traditional public services,and promoting the high-quality development of public services.However,few studies have involved the mechanism analysis of digital economy promoting the high-quality development of public services,and the corresponding empirical analysis is even less.Therefore,in order to seize the development opportunity of the digital economy,break through the bottleneck of the digital transformation of public services,and accelerate and realize the high-quality development of public services,this study conducts a systematic and in-depth study of the impact mechanism of the digital economy on the highquality development of public services in China,and obtains more quantitative information through empirical testing to provide data support for accelerating the high-quality development of public services.This study uses the data of 30 provinces in China from 2012 to 2019,it determines the evaluation system of digital economy development level and the evaluation system of highquality development level of public services according to relevant literature.It uses the principal component method to calculate the digital economy development level index,and uses the entropy weight TOPSIS method to calculate the high-quality development level index of public services.This thesis deeply analyzes the impact mechanism of the digital economy on the highquality development of public services according to the concept of "technology economy paradigm",Metcalfe’s rule and the two sector model,and empirically tests the impact mechanism of the digital economy on the high-quality development of public services by using the system GMM dynamic regression model,threshold regression model and spatial Dubin model.The research finds that the digital economy has a positive role in promoting the highquality development of public services,and further analysis finds that the role has a nonlinear characteristics;In addition,from the perspective of space,it is found that digital economy not only has a positive impact on the high-quality development of public services in this region,but also has a positive spatial spillover effect on the high-quality development of public services in adjacent regions.Based on the results of theoretical and empirical analysis,the corresponding policy recommendations are put forward: Improve the construction of digital infrastructure and optimize the development environment of digital economy;Deepen the deep integration of digital economy and public service industry,and stimulate the network amplifier effect of digital economy;Adopt differentiated development strategies to promote the coordinated development of public service industries among regions.
Keywords/Search Tags:Digital economy, High-quality development of public services, System-GMM dynamic regression model, Threshold regression model, Spatial Durbin model
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