分析年龄和地区特征对人口变化的影响:以 2009 至 2020 年常住人口普查为重点

Hyun-Tae Joo
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摘要

根据韩国统计局的人口预测,劳动适龄人口预计将从 2019 年的峰值到 2030 年减少 350 多万人。此外,在经合组织国家中,大韩民国的总和生育率最低,为每名妇女 0.84 胎。伴随着人口老龄化,韩国的人口减少是一项重大挑战。然而,在首都圈中也有一些地区出现了人口增长。在本研究中,我们旨在利用机器学习分析找出影响人口变化的关键因素。考虑的因素包括按年龄组划分的人口构成以及社区层面的就业、住房、文化、医疗保健和福利等各种社会因素。分析结果表明,50∼54 岁和 45∼50 岁年龄组人口数量的变化对该地区人口变化的影响程度较高。这些年龄组在韩国人口构成中所占比例较高,与劳动适龄人口中活跃的经济活动有关。另一方面,年龄较大的年龄组对人口变化的影响较小。就地区特征而言,分析表明,住房供应,尤其是公寓供应,对人口变化有很大影响。公寓的供应不仅意味着住房供应的增加,还意味着便利设施的发展和就业机会的创造。研究发现,租金价格对人口变化有负面影响,而房产价格对人口变化有正面影响。尽管本研究旨在探讨影响人口变化的多种因素,但基于区域特征和类型的进一步分析可以产生更完善的研究成果。
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Analysis of the Impact of Age and Regional Characteristics on Population Change: Focusing on the Resident Population Census from 2009 to 2020
According to the population projections by Statistics Korea, the working-age population is expected to decline by over 3.5 million people from its peak in 2019 to 2030. Additionally, Republic of Korea has the lowest total fertility rate of 0.84 births per woman among OECD countries. The population decline in Korea is a significant challenge accompanied by population aging. However, there are some regions in the metropolitan area where population growth is observed. In this study, we aim to identify the key factors influencing population change using machine learning analysis. The factors consider include population composition by age group and various social factors such as employment, housing, culture, health-care, and welfare at the community level. The analysis results show that changes in population size in the age groups of 50∼54 and 45∼50 had a high degree of influence on the change in the population of the region. These age groups have a high proportion in the population composition of Korea and are associated with active economic activities in the working-age population. On the other hand, age groups with older individuals have less influence on population change. In terms of regional characteristics, the analysis reveals that the supply of housing, particularly apartments, had a strong impact on population change. The availability of apartments indicates not only increases housing supply but also the development of convenient facilities and job creation. Rental prices are found to have a negative influence, while property prices have a positive influence on population change. Although this study aims to examine multiple factors affecting population change, further analysis based on regional characteristics and typologies could yield more improved research outcomes.
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