• Title/Summary/Keyword: 가격 결정요인 분석

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The Determinants of Households' DTV Purchase Probability and Time (DTV의 구매의향과 구매시기 결정요인 분석)

  • Yoon, Choong-Han;Kim, Yong-Kyu
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.8 no.3
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    • pp.646-653
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    • 2007
  • This paper tries to find out how a household's purchase probability and purchase time changes as time passes. Previous studies show that a highly educated family with high income, which is usually an early adopter in a new product adoption, tends to be an early adopter of DTV. On the contrary, in the dynamic sense of diffusion, this study shows that an average household's purchase probability would become higher and its purchase time would come sooner than later, as price falls sharply. As time passes, it turns out that DTV is becoming a necessary good rather than a luxury good. Thus, in the future, either a household's popuation characteristics or information on new product are not expected to affect the probability of a household's purchasing DTV.

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Pattern Analysis of Apartment Price Using Self-Organization Map (자기조직화지도를 통한 아파트 가격의 패턴 분석)

  • Lee, Jiyoung;Ryu, Jae Pil
    • Journal of the Korea Convergence Society
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    • v.12 no.11
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    • pp.27-33
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    • 2021
  • With increasing interest in key areas of the 4th industrial revolution such as artificial intelligence, deep learning and big data, scientific approaches have developed in order to overcome the limitations of traditional decision-making methodologies. These scientific techniques are mainly used to predict the direction of financial products. In this study, the factors of apartment prices, which are of high social interest, were analyzed through SOM. For this analysis, we extracted the real prices of the apartments and selected a total of 16 input variables that would affect these prices. The data period was set from 1986 to 2021. As a result of examining the characteristics of the variables during the rising and faltering periods of the apartment prices, it was found that the statistical tendencies of the input variables of the rising and the faltering periods were clearly distinguishable. I hope this study will help us analyze the status of the real estate market and study future predictions through image learning.

지방 중소형 백화점의 경쟁력 강화요인 분석

  • O, Gyeong-Seop
    • Journal of Global Scholars of Marketing Science
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    • v.4
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    • pp.153-172
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    • 1999
  • 지방의 중소형 백화점은 외국자본의 할인점과 대기업에서 운영하는 대형백화점의 진출로 사면초가의 위기를 맞고 있다. 따라서 이러한 어려운 여건하에서 어떻게 하면 살아남을 수 있는 방안이 있는지를 찾는데 가장 큰 목적이 있다. 따라서 이를 위하여 지방의 중소형 백화점의 문제점의 도출을 하고, 경쟁력 강화요인을 분석한 결과를 요약하면 다음과 같다. 먼저, 문제점을 도출하면, 유통업체 내부적인 관점으로는 불필요한 경비지출 증가의 문제, 마진률 저하 및 상품구성의 문제, 인력의 종속성과 양성제도 미흡, 가격정책 결정의 한계, 마케팅 능력 미약과 이미지 저하, 업태의 불명확화 등이 있고, 기업외적인 관점으로는 자금조달의 한계, 정부의 정책지원의 미약, 거래관행의 구조적인 문제, 전문유통인력 양성정책의 미흡 등을 들 수 있다. 두 번째로 경쟁력 강화요인을 보면, 유통업체 내부적인 관점으로는 업태의 포지셔닝 재정립, 대입형태의 전환, 자사(PB)상품 개발 촉진, 우수한 전문인력의 확보, 서비스 경쟁력 제고 등이 있고, 기업 외적인 관점으로는 구조개선이 필요, 조직화 협업화 협동화, 지방 산업 육성, 자금과 교육지원 등을 들 수 있다.

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Estimating the Determinants of Households' Monthly Average Income : A Panel Data Model Approach (패널 데이터모형을 적용한 가구당 월평균 가계소득 결정요인 추정에 관한 연구)

  • Yi, Hyun-Joo;Cheul, Hee-Cheul
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.6
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    • pp.2038-2045
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    • 2010
  • Households' monthly average income is composed of various factors. This study paper studies focuses on estimating the determinants of a households' monthly average income. The region for analysis consist of three groups, that is, the whole country, a metropolitan city(such as Busan, Daegu, Incheon, Gwangiu, Daejeon, Ulsan.) and Seoul. Analyzing period be formed over a 57 time points(2005. 01~2009. 09). In this paper the dependent variable setting up the households' monthly average income, explanatory (independent) variables are composed of the consumer price index, employment to population ratio, Index of housing sale price, the preceding composite index, loans of housing mortgage, spending rate for care medical expense and the composite stock price index. In looking at the factors which determine the monthly average income, evidence was produced supporting the hypothesis that there is a significant positive relationship between the composite index and housing loans. The study also produced evidence supporting the view that there is a significant negative relationship between employment ratios, the house sale pricing index and spending rates for care or medical needs. The study found that the consumer price index and composite stock price index were not significant variables. The implications of these findings are discussed for further research.

Big Data Analysis of Financial Product Transaction Trends Using Associated Analysis (연관분석을 이용한 금융 상품 거래 동향의 빅데이터 분석)

  • Ryu, Jae Pil;Shin, Hyun-Joon
    • Journal of the Korea Convergence Society
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    • v.12 no.12
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    • pp.49-57
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    • 2021
  • With the advent of the era of the fourth industry, more and more scientific techniques are being used to solve decision-making problems. In particular, big data analysis technology is developing as it becomes easier to collect numerical data. Therefore, in this study, in order to overcome the limitations of qualitatively analyzing investment trends, the association of various products was analyzed using associated analysis techniques. For the experiment, two experimental periods were divided based on the COVID-19 economic crisis, and sales information from individuals, institutions, and foreign investors was collected, and related analysis algorithms were implemented through r software. As a result of the experiment, institutions and foreigners recently invested in the KOSPI and KOSDAQ markets and bought futures and products such as ETF. Individuals purchased ETN and ETF products together, which is presumed to be the result of the recent great interest in sector investment. In addition, after COVID-19, all investors tended to be passive in investing in high-risk products of futures and options. This paper is thought to be a useful reference for product sales and product design in the financial field.

A Study on Risks and Returns Using A Housing Capital Asset Pricing Model (CAPM): the Case of Three Gangnam Districts Apartment Market in Seoul (주택 자본자산가격결정모형(Capital Asset Pricing Model)을 활용한 위험과 수익 분석: 서울 강남 3개구 아파트시장의 경우)

  • Lee, Jong-Ah;Jeong, Jun-Ho
    • Journal of the Economic Geographical Society of Korea
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    • v.13 no.2
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    • pp.234-252
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    • 2010
  • This paper examines the tendency of housing assets to become increasingly quasi-financial assets by analyzing the relationships between risks and returns in three Gangnam districts (Gangnam-gu, Seocho-gu and Songpa-gu) apartment markets in Seoul, especially for the apartments to be reconstructed, capitalizing upon some capital asset pricing models (CAPM). A single factor CAPM model shows positive relationships between risks and returns regardless of the types of apartments in three Gangnam districts. Multi-factors CAPM models also confirm that the market and SMB (small minus big) factors are positively related to the rate of returns regardless of the types of apartments. However, the unsystematic risk factor is found to be statistically positive especially for the apartments to be reconstructed, while the momentum factor is dependent upon the regression models used. An analysis on some portfolios classified by the size of apartments and price volatility and/or beta values suggests that there are the positive linear relationships between risks and returns and the SMB factor is clearly found to be significant in determining the rate of returns. In particular, housing assets are highly highlighted as investment goods and/or quasi financial assets for the apartments to be constructed in the Gangnam housing.

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A Study on the Determinants of Land Price in Detailed Parts of Eastern District Gyeongseong in the 1920's (1920년대 경성 동부지역 내 세부 권역별 토지가격 결정 요인 연구)

  • Seulki Yu;Kyung-min Kim;Jin-seok Kim
    • Journal of the Economic Geographical Society of Korea
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    • v.26 no.2
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    • pp.123-136
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    • 2023
  • Upon examining land prices in the eastern district of Gyeongseong, it was observed that there were variations in land prices between the northern and southern areas, with the central part being densely populated with modern facilities such as hospitals, schools, and research institutions. As a result, the eastern district of Gyeongseong was further divided into specific sub-areas, namely the northeastern and southeastern, for a more detailed analysis of the land market in each area. In the northeastern area, factors such as distance from the central area and proximity to planned roads were found to have an impact on land prices. On the other hand, in the southeastern area, the distance between the main road, whice were IHyun Road and Jongro, was identified as a significant influencer of land prices. Therefore, the northeastern area exhibited characteristics of a hinterland, influenced by the concentration of major facilities in the central area, while the southeastern area had a strong commercial orientation, largely shaped by the influence of Jongro as a bustling commercial district. This study is significant in that it sheds light on certain aspects of the modern land market by demonstrating that factors such as accessibility to roads and anchor facilities, as well as the segmentation of the land market, were also influential in the land market a century ago.

Officetel Rent Determinants in Seoul (서울시 오피스텔의 임대료 결정요인에 관한 연구)

  • Koo, Dong-Hoe;Yang, Seung-Chul
    • Journal of the Korean association of regional geographers
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    • v.10 no.3
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    • pp.654-666
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    • 2004
  • The function of officetel has been changed from office use to residential use since 1980s. The construction of officetel was relatively increased in 1991, has been decreased in the middle of the 1991, and has been increased after 1996. This paper is an empirical examination of officetel rent determinants in Seoul. Hedonic regression analysis provides the basic framework for this study. The major rent determinants are the preferable location of buildings, the ratio of private use area to the building area. residential use. The officetel rents are likely to increase at an increasingly rate with respect to these variables. The significant and positive determinants that impact rents is the building story height for the officetel for business use, and the ratio of private use area to the building area for the officetel for residential use.

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An Empirical Analysis about Effect Factors of Chinese Housing Price: Focusing on FDI into China (중국 주택가격에 영향을 미치는 요인에 관한 실증분석: 중국에 대한 FDI를 중심으로)

  • Choi, Baek Ryul;Guo, Hua Bing
    • International Area Studies Review
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    • v.15 no.3
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    • pp.263-283
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    • 2011
  • As China has achieved continuous high growth, innovative housing system and rapid growth of housing finance for thirty years since its reforming and opening, Chinese real estate industry has developed rapidly, investment in real estate has increased remarkably and price of real estate has increased continuously. In particular, as China joined WTO in 2001, overseas companies have expanded investment in Chinese real estate market with chances of potential profit. Recently, management of foreign capital real estate companies has expanded from housing to office buildings and luxury shops. Besides, management has expanded from real estate development to various tasks such as management, brokerage service, lease management and financial investment. In order to measure relationship between FDI in Chinese real estate and Chinese housing price, this document utilizes not only various data such as housing price, FDI to real estate, domestic loan of real estate, interest rate and exchange rate in 35 major cities across China but also previous researches to set an empirical analysis model and analyze effects of foreigners' direct investment in Chinese real estate on Chinese housing price.

A Study on the Investment Determinants for Residential Real Estate Development by Investor Perspectives (주거용 부동산 개발을 위한 투자자 관점에 따른 의사결정 요인에 관한 연구)

  • Kwon, Jaehong;Lee, Jaewon;Lee, Sangyoub
    • Korean Journal of Construction Engineering and Management
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    • v.21 no.5
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    • pp.29-37
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    • 2020
  • This study analyzed the importance of factors according to the investor's perspective through a survey of residential real estate experts using AHP and fuzzy theory. Analysis results showed that rent, profitability, traffic accessibility, commercial and infrastructure, and financial regulation are important in common. By expert group, financial and credit groups cited profitability, rent, traffic accessibility, supply and tax benefits, construction and development groups cited traffic accessibility, rent, direct access, profitability, commercial area and infrastructure, and appraisal and evaluation groups cited rent, profitability, transportation accessibility, financial regulation and supply as the most important factors. This showed that it had a preference characteristic that was associated with work. In other words, it focuses most on the financial perspective in investment characteristics, and it values convenience such as accessibility to transportation and commercial districts and infrastructure as its location characteristics. In addition, it was found that easing financial regulations in the market is important to expand investment in real estate. This study aims to help the business feasibility analysis of residential property developers and rational decision-making of general investors who are consumers, taking into account the various perspectives of the expert group.