주택시장의 지역간 비동조화 흐름에 따른 주택가격 변동성에 관한 연구

오윤경(Oh, Yun Kyung),강정규(Kang, Jeong Gyu) 한국주거환경학회 2019 주거환경(한국주거환경학회논문집) Vol.17 No.4

Recently, housing market is experiencing the differential flow of housing prices by region. This study analyzed the volatility of the housing market using data on housing prices and transactions from January 2009 to June 2019 in Busan, Ulsan and Gyeongsangnam-do. As a result of the analysis, housing prices in Seoul were different from those in Ulsan and Gyeongsangnam-do, and there was no significant correlation with Busan. Busan, Ulsan and Gyeongsangnam-do are likely to become sympathetic in terms of fluctuations in housing prices due to their spatial proximity. This is an integrated result of regional factors such as supply and demand conditions, development situation and economic situation in the housing market and national factors such as policy regulation and activation policy. The various housing policies announced in 2009 to solve the problem of unsold housing in the local housing market have influenced the differentiation between housing prices in Seoul and Busan, Ulsan, Gyeongsangnam-do from 2009 to 2012. From 2013 to 2016, housing price volatility in Seoul, Busan and Ulsan moved in the same direction because the housing market has risen nationwide as the government"s policy of easing real estate to revitalize the economy and low interest rates have combined. However, there was no correlation between housing price changes in Seoul and Busan, Ulsan, and Gyeongsangnam-do from 2017 to June 2019.

정책이주지 거주민의 주거환경에 대한 인식과 만족도

오윤경(Oh, Yun-Kyung),이범웅(Lee, Bum-Hyun),강정규(Kang, Jeong-Gyu) 한국주거환경학회 2013 주거환경(한국주거환경학회논문집) Vol.11 No.2

Deteriorated residential areas are rampant in Busan because new settlements were built indiscriminately by many refuses since the Korean War. Also, a great influx of people from rural areas caused by the Industrialization Era in the 1960's added to this problem. Busan began a housing renewal project for more urban planning. At this time policy settlements were created to force settlers to move into the outskirts of the city in order to solve the problems of reconstructing the city's inferior housing. However, there were shortages of infrastructure, limited dwelling space, and a high density population. Eventually, the problem worsened as deteriorating residential areas began to be too much of a burden for the residents and residential environment improvement project to solve this problem were urgently needed. This study performed a comparative analysis of the difference between two regions through resident surveys for effective residental environment improvement. The evaluation items are composed of general conditions about their dwelling and housing environments, residential satisfaction

연구논문(硏究論文) : 지리가중회귀모델을 이용한 주택가격 결정요인의 지역별 특성에 관한 연구 -부산광역시를 중심으로-

오윤경 ( Yun Kyung Oh ),강정규 ( Jeong Gyu Kang ),김종민 ( Jong Min Kim ) 한국세무회계학회 2014 세무회계연구 Vol.0 No.40

주택가격에 영향을 미치는 다양한 특성들을 설명하기 위해 사용되는 일반적인 접근방법으로 헤도닉 가격 모형이 활용된다. 부동산은 공간적 의존성과 공간적 이질성으로 인한 문제가발생될 수 있다. 따라서 이러한 공간적 자기상관성을 고려할 수 있는 분석방법이 요구된다. 본 논문에서는 부동산과 같은 공간 데이터를 분석하기 위한 공간계량모델을 가운데 가장 많이 활용되고 있는 지리가중회귀모델을 통해 주택가격을 추정함에 있어 공간적 다양성에 의한 지역별 가격결정요인을 설명하고자 한다. 이를 위해 부산광역시의 공동주택을 대상으로지역별 주택가격을 형성하는 공간회귀모형을 구축하여 공간적 변이 분석을 통해 주택 매매가격 및 전세가격에 미치는 영향의 다양성을 분석하였다. AIC값과 설명력의 결과를 통해 지리가중회귀모델이 일반회귀모델보다 적합한 모델로 판정되었다. 전체적인 회귀계수의 결과는 매매가의 경우 ‘노령화지수’는 부(-)의 영향력, ‘경제인구수’, ‘사용승인년도’, ‘개별공시지가’는 정(+)의 영향력, 전세가는 ‘노령화지수’, ‘토지면적’은 부(-)의 영향력, ‘경제인구수’, ‘사용승인년도’, ‘개별공시지가’는 정(+)의 영향력을보였으며, 지역마다 개별적인 변수의 영향력 차이에 따라 회귀계수의 값은 각기 다른 값이산출되었다. 이러한 연구 결과를 통해 부동산의 고유한 특성과 지역별로 보다 다양화되고 세분화되어 가고 있는 부동산 시장에 대해 미시적이고 차별화된 접근 방법으로 분석의 정확성을 높일 수 있고, 그에 적합한 정책을 수립하는 데 효율적일 것으로 판단된다. The purpose of this study is to analyze variables that affect housing price in Busan considering the spatial dependence using a Geographically Weighted Regression model. Hedonic Price model is the most commonly used analysis method for explaining lots of characteristics on the effect of the housing price. However, real estate is affected by the interaction between the different real estate depending on the spatial position because it has intrinsic properties such as fixed position, persistence, individuality. Thus, the former method of analysis can be problems for the neglect of spatial dependence and spatial heterogeneity by the characteristics having spatial data. To resolve this problem, this study explained contextual variations on determinants of house prices by region with spatial autocorrelation by applying a GWR model. Targeting public housing to form regionally, sale prices and rent prices were analyzed by spatial regression. The results showed that GWR model has been proven to be a suitable model than Ordinary Least Square by improved AIC values and Rsquare. Also, each region has a different characteristic respectively and regression coefficients were derived locally. These results suggest that it can be accessed microscopically about real estate market with local differentiation and the accuracy of analysis is improved.

간호대학생의 임상실습교육환경이 임상실습 관련 무력감과 자기효능감에 미치는 영향

오윤경 ( Yun-kyung Oh ),김은영 ( Eun-young Kim ) 경희대학교 동서간호학연구소 2018 동서간호학연구지 Vol.24 No.1

Purpose: The purpose of this study was to identify the effect of the clinical learning environment on nursing students’ powerlessness and self-efficacy related to clinical practice. Methods: Participants were 149 nursing students from a university who had completed their clinical practicum in B city. Data were collected using self-report questionnaires and analyzed using t-test, one-way ANOVA, Scheffe’s test, Pearson’s correlation coefficients, and hierarchical multiple regression. Results: The mean score of the clinical learning environment was 2.99 out of 5 points, the powerlessness related to the clinical practice, 2.96 out of 5 points, and the self-efficacy related to clinical practice, 73.69 out of 100 points, respectively. The regression analysis showed that the clinical learning environment explained 11% of the powerlessness related to clinical practice and 3% of the self-efficacy related to clinical practice in the nursing students after controlling for the general characteristics. Conclusions: The result of this study indicated that it is necessary to improve the clinical learning environment for decreasing the feeling of powerlessness and increasing the self-efficiency related to clinical practice among the nursing students.

항공운송기업의 광고비 지출과 기업가치

오윤경 ( Yun Kyung Oh ),김남곤 ( Nam Gon Kim ) 한국항공경영학회 2013 한국항공경영학회지 Vol.11 No.1

본 연구는 항공운송기업의 광고비 지출이 기업가치에 미치는 영향에 대하여 분석하였는데, 국내 항공운송기업의 표본 수 제한으로 인한 계량적 분석의 한계를 극복하기 위해, 미국의 항공운송기업을 대상으로 하여 1994년부터 2011년까지의 기간에 대하여, 광고비 지출이 기업가치에 미치는 영향을 패널 고정효과모형이라는 계량적 방법을 이용하여 분석하였다. 분석결과, 광고비 지출은 주효과는 유의하지 않았지만, 부채비율과 영업이익증가율에 대하여 각각 1%와 5% 유의수준에서 기업가치에 음(-)과 양(+)의 영향을 미치는 것으로 나타났다. 이러한 결과로부터 항공운송기업의 경영진들은 치열한 산업의 경쟁 환경 속에서 도산의 위험이 높고 영업 이익의 증가가 낮을 때, 투자자들로부터 광고비 지출에 대한 정당성을 확보하기 어렵다는 것을 시사하며, 거시환경 변수에 대한 리스크관리를 강화하고, 기업의 재무 전략과 마케팅 전략의 통합적 접근에 의한 기업가치 극대화가 필요하다. The Airline Deregulation Act of 1978, as amended, eliminated most economic regulation of passenger and freight transportation in the United States. The U.S. airline industry is characterized by substantial and intense price competition and corporate restructuring. This paper investigates the impact of aviation firms` advertising spendings on firm shareholder value measured by Tobin` Q. Using fixed effect panel data regression estimated on a sample of major U.S. airline companies from 1994 to 2011, we find the value effects of advertising are significantly negative among high-leveraged firms and significantly positive among the firms with high operating income growth rates. The results suggest that aviation firms should consider their financial condition and profitability when they allocate resources in advertising to maximize firm valuation.

고급주택의 주거특성 및 가격형성요인에 관한 연구

오윤경(Oh,Yun Kyung),강정규(Kang,Jeong Gyu) 한국부동산학회 2016 不動産學報 Vol.64 No.-

본 연구에서는 부산시를 중심으로 고급주택의 주거특성 및 분포현황을 살펴보고, 고급주택의 가격형성에 영향을 미치는 요인에 대해 실증적 분석을 통한 분화된 지역적 특성 및 주거 공간을 파악하는데 목적이 있다. 심층분석을 위해 고급주택을 ‘6억초과 ~ 9억이하’와 ‘9억초과’로 구성하여 비교·검토한 분석결과, ‘6억초과 ~ 9억이하’와 ‘9억초과’의 거래금액에 따른 주거특성은 차별화를 보인다. 고급주택의 가격에 따른 선택확률을 추정해 본 결과, 건물의 최고층수 높고, 일반·중심상업지역에 입지하며, 해운대구에 분포된 고급주택일수록 거래금액이 높게 나타났다. 또한, 고급주택의 가격결정 회귀 모형을 통해 가격결정에 영향을 주는 요인들을 검토할 수 있었다. 1. CONTENTS (1) RESEARCH OBJECTIVES The purpose is to identify the housing needs of the consumer are diversified by looking at the status and distribution of luxury housing residential properties in Busan. (2) RESEARCH METHOD The first was carried out to analyze whether differences exist in the characteristics of the living environment after separate the luxury housing of the house price. In addition, the pricing factors of luxury housing was analyzed by a regression analysis. (3) RESEARCH FINDINGS Residential property has differentiated depending on the value of luxury housing and this distinction appears choices about the decision and move residences The more assets or income earners are much wider. Futhermore the results to estimate the probability of selection according to the price of luxury housing, high building, and located in the commercial area, luxury housing in Haeundae is likely higher housing prices. Through regression pricing model of luxury homes, the broad and high-rise residential area, closer to the beach impact on prices was found to be positive. 2. RESULTS The residential area of luxury housing appears strongly differentiated residential properties, based on the value of the house it could be seen that there is a distinction between the different residential areas.

도시공간을 고려한 주택하위시장의 구조화에 관한 연구

오윤경(Oh, Yun Kyung),정건섭(Chung, Kyoun Sup) 한국주거환경학회 2017 주거환경(한국주거환경학회논문집) Vol.15 No.2

The real estate market is formed by regional or local communities, each of local market is to look for regional differences even in the real estate market indicators such as price, supply and demand. In addition, due to the nature of the real estate market, real estate heterogeneous characteristics are differentiated according to the region, income, property type, such as layered demand, thus differentiating the real estate market is difficult to organize have individual characteristics. The territory of housing market has been limited to a certain spatial region segmentation is happening in this part of the market by the mismatch of supply and demand imbalance occurs due. Therefore, by analyzing the local region formed for housing markets and market conditions may be desirable to derive the policy options accordingly. This paper seeks to let the statistical data for administrative units of Busan and Daegu define housing market segments by multivariate analysis. First, factor analysis is used to extract a set of factors based on the statistical similarity. Second, factor scores are calculated and cluster analysis is used to determine the composition of housing submarkets. From this study, the housing market in Busan and Daegu is confirmed that working is divided into a huge market rather than the six housing submarkets, and through a variety of factors that affect the supply and demand sides of the housing market can look at the characteristics of the market. Through this, it is possible to structure a housing market that is formed in the metropolitan area, and it will be an effective policy data for developing a customized housing policy for sustainable urban development.

공동주택의 유형화 분석을 통한 정책 제언

오윤경(Oh, Yun-Kyung),강정규(Kang, Jeong-Gyu),최승두(Choi, Seung-Doo) 한국주거환경학회 2014 주거환경(한국주거환경학회논문집) Vol.12 No.3

An apartment house is the typical housing type because it was a steady supply of large quantities as the fundamental alternative to resolve the housing shortage matching policy requirement and market environment of housing demand and supply. But it is the point of transition, the key role of housing market has converted providers to consumers because Busan"s housing supply rate in 2012 is 102% and factors of demand have changed diversely. The aim of this study is to suggest the countermeasures focusing on an apartment house for realistic housing policy and tried to analyze the properties of apartment houses in Busan and identify the typology. This study analyzed the houses having using approval before 2013 and more than 20 households adopting factor analysis and 2 Step Cluster analysis. The typology consisted of 6 clusters based on specific characteristics of houses, development factors, deterioration and development possibility. The analysis result provides differentiated policy proposals for housing inventory management and supply strategy according to each housing type. To this extent, this study contributes to analyze the apartment house occupied the overwhelming share with the purpose of comprehensive housing stocks management.

신규간호사의 재취업 영향요인: 종단적 연구

오윤경(Oh, Yun Kyung),김은영(Kim, Eun-Young) 한국간호과학회 2021 Journal of Korean Academy of Nursing Vol.51 No.2

Purpose: The purpose of this study was to identify factors influencing the re-employment of newly graduated nurses. Methods: A longitudinal design was employed. The participants in this online survey study were 138 newly graduated nurses who had left their first jobs. Data were collected from June 2019 to January 2020 and analyzed using descriptive statistics, chi-square tests, t-tests, Cox’s proportional hazards models with the IBM SPSS ver. 26.0 for Windows program. Results: About 76.1% of the participants were re-employed within one year of leaving their first jobs and the average period until re-employment was about 14 weeks. Cox’s proportional hazards models revealed that factors affecting re-employment among newly graduated nurses were social support (hazard ratio [HR] = 1.39, 95% confidence interval [CI] = 1.01~1.91; p = .042), job search efficacy (HR = 1.33, 95% CI = 1.01~1.77; p = .047), and extrinsic outcome expectation (HR = 1.39, 95% CI = 1.08~1.79; p = .010). Conclusion: Social support, job search efficacy, and extrinsic outcome expectation can play a significant role in the re-employment of newly graduated nurses. It is necessary to establish strategies to enhance their social support, job search efficacy, and extrinsic outcome expectation in order to increase the re-employment of newly graduated nurses.

소셜 감성 데이터를 이용한 딥러닝 기반의 암호화폐 가격 예측 모델

고광종,이기웅,임승재 대한산업공학회 2021 대한산업공학회 추계학술대회논문집 Vol.2021 No.11