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

机译: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

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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.
机译:2022年左右,中国人口超过65岁时将占总人口的14%,实现对老龄化社会的过渡。老龄化对居民消费水平的影响的问题受到了越来越多的关注。 L地区是中国老龄化程度最高的地区之一,所以这项研究选择它作为探索这一地区对居民在居民消费的研究对象的研究对象,基于回归分析模型。这项研究在过去的十五年中编制了关于L地区城乡人口的老化和消费水平的相关数据,并根据最小二乘回归分析模型对城乡人口老龄化对居民的影响进行了研究'该地区的消费水平。最后,结论是,该地区城市人口老龄化对该地区城市居民的消费水平产生了负面影响,而该地区的农村人口老龄化对农村的消费水平没有明显影响居民。

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