Abstract
1. CONTENTS (1) RESEARCH OBJECTIVES The purpose of this study is to find out what characteristics the elderly generation exhibits when choosing a residence to live in their old age after retirement. In other words, we tried to analyze what was an effective response strategy from the perspective of housing policy to minimize the mismatch between demand and supply in the housing market as well as housing stability by appropriately supplying the most preferred housing in the location they prefer. (2) RESEARCH METHOD As a tool for empirical analysis, frequency analysis was first conducted using the SPSS 26.0 statistical program, and response distribution and sample characteristics for all questionnaires were identified. Based on the evaluation data on the matters to be considered when choosing a place of residence after retirement, variables were classified through factor analysis and reliability analysis for each factor, and significant differences in the general characteristics of the sample were found and verified through chi-square analysis. (3) RESEARCH FINDINGS About 80% of the population of the elderly generation hope to move to the Gyeonggi-do area or the outskirts of Seoul within 5 years after retirement and live in a country house, apartment, or residential complex with an area of 20 to 30 pyeong(66~99㎡) or less. It was also found that they wanted to live independently around their children. There is a need for housing policies that respond to their needs to be quickly established in the short and long term. 2. RESULTS Analysis of what is an effective response strategy from the perspective of housing policy to minimize the mismatch between demand and supply in the housing market as well as stable housing for the elderly by appropriately supplying the most preferred housing in the location most preferred by the elderly. In addition, by analyzing housing preference according to general characteristics, the type of housing desired after retirement and the desired area were derived, and the residential area preferred and desired by the elderly generation was identified and presented as basic data for policy establishment.
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