http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : 원재웅(Jaewoong Won) (검색결과 5 건)
- 무료
- 기관 내 무료
- 유료
-
조명환(Myeonghwan Cho),원재웅(Jaewoong Won),전재범(Jaebum Jun) 한국부동산정책학회 2022 不動産政策硏究 Vol.23 No.3
The purpose of this paper is to identify and study impact factors on the default risk likely to happen in MBS. So, MBS data given from the Korea Housing Finance Corporation and some factors, which are selected based on literature review, seeming relevant to default in MBS are applied to a VAR model. As a result, apartment price and new loan interest rate turn out to be statistically significant for default risk.
-
프롭테크 플랫폼의 활용이 부동산중개서비스 산업에 미치는 영향에 관한 연구
김유수(Yu-Soo Kim),원재웅(Jaewoong Won) 한국부동산정책학회 2022 不動産政策硏究 Vol.23 No.3
Consumer demand for PropTech industries that combine IT technology and real estate industries is increasing. PropTech is growing in various industries related to real estate, such as real estate valuation, data provision, and real estate transactions. In particular, as real estate information acquisition through the platform is expected to become active and transactions are expected, the prop-tech industry is expected to be incorporated in the real estate brokerage industry. At this point, this study aims to find out how the growth of the prop-tech industry changes in the real estate market and how it affects the practical use of the real estate brokerage industry. In this study, we investigated whether the real estate big data platform actually helps brokers improve their expertise in the field, increase customer reliability, and increase profitability by improving competitiveness, and analyzed various measurement items and structural equations. The structural model between latent variables created based on the confirmation factor analysis model was analyzed. As a result of the analysis, it was found that the real estate big data platform had a positive effect on the real estate market for the expertise, reliability, and profitability of the real estate brokerage among the changes in the perception of the real estate broker. On the other hand, it was found that it would negatively affect the competitiveness of the authorized brokerage business. Although PropTech was generally recognized to have a positive effect on the development of the licensed real estate agent, it suggests that the role of licensed real estate agents is needed to strengthen competitiveness.
-
-
-
도시 차원에서 바라 본 코로나19 이슈 흐름 - 신문기사 자료를 중심으로
김은정(Kim, Eun Jung),심혜민(Sim, Hye Min),원재웅(Won, Jaewoong),강범준(Kang, Bumjoon) 한국도시설계학회 2020 도시설계 : 한국도시설계학회지 Vol.21 No.6
본 연구는 신문기사 자료를 활용하여 도시 관점에서 코로나19에 대한 이슈 흐름을 살펴보는데 목적이 있다. 연구대상은 국내에서 발행되는 총 47개의 언론사의 기사를 대상으로 하고, 검색 기간은 2020년 1월 20일부터 8월 2일까지 총 28주이다. 특히, 코로나19의 유행을 출현 단계(1월 20일~2월 17일), 확산 단계(2월 18일~5월 5일), 생활방역 단계(5월 6일~8월 2일)로 구분하여 분석에 활용하였다. 데이터베이스 구축은 빅카인즈를 활용했으며, ‘코로나’와 ‘도시’를 키워드로 검색하였다. 분석방법으로는 추이 그래프, 빈도분석, 분산분석, 워드클라우드, 의미연결망 분석 등을 활용하였다. 분석결과, 첫째, 코로나 출현 단계에서는 ‘중국’, ‘바이러스’, ‘신종’, ‘우한’, 확산 단계에서는 ‘확진자’, ‘대구’, 생활방역 단계에서는 ‘사업’, ‘산업’, ‘뉴딜’, ‘관광’ 등과 같은 키워드들이 많이 언급되었다. 둘째, 주요 키워드들의 출현 비중은 코로나19 유행 단계 그룹별로 통계적으로 유의미한 차이가 있었다. 셋째, 워드클라우드 및 의미연결망 분석결과, 출현 및 확산단계에서는 도시적 차원의 대응과 관련된 이슈가 거의 나타나지 않았으나, 생활방역 단계에서는 서서히 ‘계획’, ‘주택’, ‘공간’ 등과 같은 키워드들도 출현하기 시작하였다. 향후 코로나19에 대한 다양한 연구과 정책적 제안들을 제시하는데 본 연구가 활용될 수 있기를 기대한다. The purpose of this study is to review the issue trend on the COVID-19 outbreak in South Korea, from an urban perspective using newspaper article data. This study uses articles from 47 media companies, and the search period was set to 28 weeks from January 20 to August 2, 2020. The COVID-19 pandemic was divided into three phases: emergence phases, diffusion phase, and daily-life distancing phase. We used a big data analysis service, and searched for ‘Corona’ and ‘City’ as keywords. Results of the study were as follows. First, keywords such as ‘China’, ‘virus’, ‘new type’, and ‘Wuhan’ were mentioned a lot in the emergence phase. Keywords such as ‘confirmed patient’ and ‘Daegu’ were appeared most frequently in the diffusion phase, while keywords such as ‘business’, ‘industry’, ‘new deal’, and ‘tourism’ were mentioned frequently in the daily-life distancing phase. Second, the frequency proportion of keywords was significantly different among three phases. Third, word clouds and semantic network analysis showed that the keywords such as ‘planning’, ‘housing’, and ‘space’ began to appear in the daily-life distancing phase. This study can give an idea to urban research and policies in a preparation of COVID-19.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
