{"title":"The Impact of Data Elements on Narrowing the Urban-Rural Consumption Gap in China: Mechanisms and Policy Analysis","authors":"Mingpu Ma","doi":"arxiv-2409.02662","DOIUrl":null,"url":null,"abstract":"The urban-rural consumption gap, as one of the important indicators in social\ndevelopment, directly reflects the imbalance in urban and rural economic and\nsocial development. Data elements, as an important component of New Quality\nProductivity, are of significant importance in promoting economic development\nand improving people's living standards in the information age. This study,\nthrough the analysis of fixed-effects regression models, system GMM regression\nmodels, and the intermediate effect model, found that the development level of\ndata elements to some extent promotes the narrowing of the urban-rural\nconsumption gap. At the same time, the intermediate variable of urban-rural\nincome gap plays an important role between data elements and consumption gap,\nwith a significant intermediate effect. The results of the study indicate that\nthe advancement of data elements can promote the balance of urban and rural\nresidents' consumption levels by reducing the urban-rural income gap, providing\ntheoretical support and policy recommendations for achieving common prosperity\nand promoting coordinated urban-rural development. Building upon this, this\npaper emphasizes the complex correlation between the development of data\nelements and the urban-rural consumption gap, and puts forward policy\nsuggestions such as promoting the development of the data element market,\nstrengthening the construction of the digital economy and e-commerce, and\npromoting integrated urban-rural development. Overall, the development of data\nelements is not only an important path to reducing the urban-rural consumption\ngap but also one of the key drivers for promoting the balanced development of\nChina's economic and social development. This study has a certain theoretical\nand practical significance for understanding the mechanism of the urban-rural\nconsumption gap and improving policies for urban-rural economic development.","PeriodicalId":501293,"journal":{"name":"arXiv - ECON - Econometrics","volume":"34 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - ECON - Econometrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.02662","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The urban-rural consumption gap, as one of the important indicators in social
development, directly reflects the imbalance in urban and rural economic and
social development. Data elements, as an important component of New Quality
Productivity, are of significant importance in promoting economic development
and improving people's living standards in the information age. This study,
through the analysis of fixed-effects regression models, system GMM regression
models, and the intermediate effect model, found that the development level of
data elements to some extent promotes the narrowing of the urban-rural
consumption gap. At the same time, the intermediate variable of urban-rural
income gap plays an important role between data elements and consumption gap,
with a significant intermediate effect. The results of the study indicate that
the advancement of data elements can promote the balance of urban and rural
residents' consumption levels by reducing the urban-rural income gap, providing
theoretical support and policy recommendations for achieving common prosperity
and promoting coordinated urban-rural development. Building upon this, this
paper emphasizes the complex correlation between the development of data
elements and the urban-rural consumption gap, and puts forward policy
suggestions such as promoting the development of the data element market,
strengthening the construction of the digital economy and e-commerce, and
promoting integrated urban-rural development. Overall, the development of data
elements is not only an important path to reducing the urban-rural consumption
gap but also one of the key drivers for promoting the balanced development of
China's economic and social development. This study has a certain theoretical
and practical significance for understanding the mechanism of the urban-rural
consumption gap and improving policies for urban-rural economic development.