{"title":"The Impact of Population Aging on the Level of Consumption in L Region : ——An Empirical Study Based on Regression Analysis Model","authors":"Jiang Rui","doi":"10.1109/ICEMME51517.2020.00141","DOIUrl":null,"url":null,"abstract":"Around 2022, China's population over the age of 65 will account for 14% of the total population, realizing the transition to an aging society. The issue of the impact of aging on the consumption level of residents has received more and more attention. L Region is one of the regions with the highest degree of aging in China, so this study chooses it as the research object to explore the impact of aging in this region on residents' consumption through empirical research based on regression analysis models. This study compiled relevant data on the aging and consumption levels of urban and rural populations in L Region over the past fifteen years, and conducted a study based on the least squares regression analysis model on the impact of the aging of urban and rural populations on residents’ consumption levels in this area. Finally, it is concluded that the aging of the urban population in this area has a negative impact on the consumption level of urban residents in this area, while the aging of the rural population in this area has no obvious impact on the consumption level of rural residents.","PeriodicalId":447872,"journal":{"name":"2020 2nd International Conference on Economic Management and Model Engineering (ICEMME)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 2nd International Conference on Economic Management and Model Engineering (ICEMME)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEMME51517.2020.00141","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
Around 2022, China's population over the age of 65 will account for 14% of the total population, realizing the transition to an aging society. The issue of the impact of aging on the consumption level of residents has received more and more attention. L Region is one of the regions with the highest degree of aging in China, so this study chooses it as the research object to explore the impact of aging in this region on residents' consumption through empirical research based on regression analysis models. This study compiled relevant data on the aging and consumption levels of urban and rural populations in L Region over the past fifteen years, and conducted a study based on the least squares regression analysis model on the impact of the aging of urban and rural populations on residents’ consumption levels in this area. Finally, it is concluded that the aging of the urban population in this area has a negative impact on the consumption level of urban residents in this area, while the aging of the rural population in this area has no obvious impact on the consumption level of rural residents.