The Impact of Population Aging on the Level of Consumption in L Region : ——An Empirical Study Based on Regression Analysis Model

Jiang Rui
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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.
人口老龄化对L地区消费水平的影响——基于回归分析模型的实证研究
2022年前后,中国65岁以上人口将占总人口的14%,实现向老龄化社会的过渡。老龄化对居民消费水平的影响问题越来越受到人们的关注。L地区是中国老龄化程度最高的地区之一,因此本研究选择L地区作为研究对象,通过基于回归分析模型的实证研究,探讨该地区老龄化对居民消费的影响。本研究收集了近15年来L地区城乡人口老龄化与消费水平的相关数据,基于最小二乘回归分析模型研究了城乡人口老龄化对该地区居民消费水平的影响。最后得出该地区城镇人口老龄化对该地区城镇居民消费水平有负面影响,而农村人口老龄化对该地区农村居民消费水平无明显影响的结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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