• 제목/요약/키워드: location determinants

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Factors Influencing the Perception of the Selling Price of Luxury Apartments

  • NGUYEN, Huu Cuong;DO, Duc Tai
    • The Journal of Asian Finance, Economics and Business
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    • 제7권5호
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    • pp.185-194
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    • 2020
  • The study aims to identify and measure factors affecting the perception of the selling price of luxury apartments in Hanoi. We conducted a questionnaire consisting of 29 observation variables with a 5-point Likert scale. Independent variables were measured from 1 "without effect" to 5 "strongly". Based on the desk review and results of interviews, a total of 500 questionnaires were sent to research participants for collection; 458 of them met standard and were subject to be analyzed. This study employs Cronbach's Alpha test, and regression model. The results of Exploratory Factor Analysis (EFA) and Multiple Regression Analysis (MRA) identify five main determinants influencing the perception of the selling price of luxury apartments in Hanoi, including Physical characteristics of a luxury apartment (PC); Location and position of an apartment (LP); Surrounding Area (SA); Quality of service provided by managers; (QS) and Demographics factor (DF). Based on the findings, some recommendations have been proposed to help the firm leaders design appropriate personnel policies for creating better price satisfaction for customers in the future. On this basis, the authors propose a number of recommendations to improve the quality of luxury apartments, thereby contributing to the development of the market for luxury apartments in Hanoi.

가계 재무전략 유형별 재무성과 분석 (An Analysis of the Financial Performance in the types of Household financial Strategy)

  • 박진영;문숙재
    • 가정과삶의질연구
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    • 제22권6호
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    • pp.165-175
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    • 2004
  • The purpose of this study was to classify the household financial strategies and investigate major determinants of the household financial strategies and financial performance. The data of 3,994 households is from the Korean Labor and Income Panel Stud?. The major findings were as follows. (1) The classified household financial strategies types were Residual ($44.6\%$), Informal Institutional ($13.3\%$), Financial Assets ($16.7\%$), Real Estate ($13.4\%$), and Diversified Portfolio ($12.0\%$). (2) The criteria of classification of the household financial strategies were relative, not absolute. (3) The household financial strategy types changed largely during a short period(1999-2000). (4) In all households, the variables that affected changes in household financial strategies were education, occupation, number of children, residential location and home ownership. (5) Households that employed a diversified portfolio strategy had the greatest financial performance (2,316,000 won net gain). (6) In all households, the variables that had the greatest influence on financial performance were the number of children, assets and debts. 1'he financial performance was significantly different according to changes in the household financial strategy.

Study on the Selection Determinants on Consumers Purchasing Agricultural Products via Direct Market

  • LEE, Jae-Wan;KIM, Jae-Jin
    • 동아시아경상학회지
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    • 제8권3호
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    • pp.43-56
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    • 2020
  • Purpose - This study was carried out to analyze the influential factors of how consumers methodize purchasing agricultural products via direct market. It further utilizes the Discrete Choice Model to analyze consumer decision specifically with regards to individual markets and store attributes. Research design and methodology - This study will use the multinomial logit model to interpret the influential factors behind selecting a specific market to purchase from. This study establishes 'online direct-purchase' as the base category with 'direct farm markets', 'local foods direct markets', 'produce boxes (CSA)' as substitutes. Results - Firstly, the variety of products, price and freshness had a positive influence on choosing 'direct farm markets' while convenience of payment and transportation had a negative influence. Second, freshness and store attributes had a positive influence on choosing 'local foods direct markets' but product price and packaging, location accessibility had a negative influence. And although product creditability had a positive influence on purchasing 'produce boxes (CSA)', product price had a negative influence. Conclusions - Accordingly, there is a need for the South Korean government to encourage the adoption of mobile payment through smartphone applications in direct farm markets to vitalize direct agricultural purchasing. However, this does need to be approached cautiously as price has a conflicting affect for each method of purchase.

A Grey MCDM Based on DEMATEL Model for Real Estate Evaluation and Selection Problems: A Numerical Example

  • NGUYEN, Phi-Hung;TSAI, Jung-Fa;NGUYEN, Thanh-Tam;NGUYEN, Thi-Giang;VU, Dang-Duong
    • The Journal of Asian Finance, Economics and Business
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    • 제7권11호
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    • pp.549-556
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    • 2020
  • Real estate markets play an essential role in the economic development of both developed and developing countries. Investment decisions in private real estate demand the consideration of several qualitative and quantitative criteria. Especially in Vietnam, demand for housing, apartments are rising which has resulted because of the migration from rural to urban areas. This study aims to determine the influencing factors of the real estate purchasing behavior and then recommend a grey Multi-Criteria Decision Making (MCDM) support model to evaluate real estate alternatives based on a numerical example in Vietnam. A set of essential criteria are identified based on experts' opinion, and the proposed determinants are initial investment, maintenance cost, prestige location, distance to interesting places, parking lot, public transportation, property condition, total area size, number of rooms, and neighbors. The subjective weights were obtained by using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) model, and the Grey Relational Analysis (GRA) technique is employed to prioritize and rank real estate alternatives. The results reveal that this approach can be useful to make purchasing decisions for many kinds of real estate property under uncertain business environments. These findings indicate that the presented hybrid model has advantages in granting flexibility to the preferences of decision makers.

Analyzing Government Support Program for R&D Collaboration and Distribution for Korean SMEs: A Case for Equipment Leasing Program

  • PARK, Mun-Su;CHANG, Soonwoo Daniel
    • 유통과학연구
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    • 제20권12호
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    • pp.99-108
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    • 2022
  • Purpose: This study attempted to identify determinants affecting research collaboration and R&D distribution activities, especially regarding facility and equipment leasing of small and medium enterprises (SMEs) in South Korea. The objective of this study was to find the most significant firm characteristics that affect firms participating in an R&D collaboration and distribution program and investing in R&D in terms of leasing payment for equipment. Research design, data, and methodology: This study analyzes which SMEs' characteristics influence external research cooperation activities by examining the SMEs that received government support for equipment leasing using multiple regression analysis and residual plots. The survey combined two databases: 1) a fact-finding survey of participating firms by the Ministry of SMEs and Startups, and 2) leasing information by the Korea Association of University, Research Institute and Industry. Results: The study found that firm size positively impacts R&D investment, R&D collaboration and distribution. Conclusions: The study provided evidence to policymakers and government officials that firms with more employees will more likely participate in government support programs. The study results also prove that government officials believe firm location does not impact R&D investment, R&D collaboration and distribution.

머신러닝을 활용한 청년 구직자의 강소기업 선호 예측모형 개발 및 요인별 상대적 중요도 분석 (Developing a Predictive Model of Young Job Seekers' Preference for Hidden Champions Using Machine Learning and Analyzing the Relative Importance of Preference Factors)

  • 조윤주;김진수;배환석;양성병;윤상혁
    • 한국정보시스템학회지:정보시스템연구
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    • 제32권4호
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    • pp.229-245
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    • 2023
  • Purpose This study aims to understand the inclinations of young job seekers towards "hidden champions" - small but competitive companies that are emerging as potential solutions to the growing disparity between youth-targeted job vacancies and job seekers. We utilize machine learning techniques to discern the appeal of these hidden champions. Design/methodology/approach We examined the characteristics of small and medium-sized enterprises using data sourced from the Ministry of Employment and Labor and Youth Worknet. By comparing the efficacy of five machine learning classification models (i.e., Logistic Regression, Random Forest Classifier, Gradient Boosting Classifier, LGBM Classifier, and XGB Classifier), we discovered that the predictive model utilizing the LGBM Classifier yielded the most consistent performance. Findings Our analysis of the relative significance of preference determinants revealed that industry type, geographical location, and employee count are pivotal factors influencing preference. Drawing from these insights, we propose targeted strategic interventions for policymakers, hidden champions, and young job seekers.

코로나19 유행 시기 전후 주택유형에 따른 주택실거래가와 우울감 경험률 (Housing Transaction Prices and Depression Experience Rates According to Housing Types Before and After the COVID-19 Pandemic)

  • 이강재;김윤영;김건엽
    • 농촌의학ㆍ지역보건
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    • 제49권1호
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    • pp.59-70
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    • 2024
  • Objectives: This research analyzed and compared housing transaction prices and depression rates according to housing types before and after the COVID-19 pandemic. Methods: Data on housing transaction prices and depression rates from 2018 to 2022 in 25 districts of Seoul, South Korea, were utilized. Dummy variables were employed to account for potential confounders influencing the relationship between the variables. Statistical analysis was conducted using R, and the relationship between depression rates and housing transaction prices was examined through Ordinary Least Squares (OLS) and panel data regression analysis. Results: The results of OLS and one-way random effects models indicated a significant relationship between apartment (p<.05) and officetel (p<.001) transaction prices and depression. However, detached/semi-detached and row/townhouse transaction prices did not exhibit a significant relationship with depression. Conclusion: It was observed that as apartment and officetel transaction prices increased in Seoul before and after the COVID-19 pandemic, depression rates also increased. Considering that changes in housing prices by housing type in South Korea may impact the mental health of local residents, it is deemed necessary to consider healthy housing and housing prices as comprehensive determinants of mental health.

A Study on Factors affecting Housing Satisfaction among Foreign Residents in Korea

  • Hyun-chan MOON;Jae-tae KIM
    • 융합경영연구
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    • 제12권4호
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    • pp.1-11
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    • 2024
  • Purpose: This study investigates the factors influencing housing satisfaction among foreign residents in South Korea by examining their perceptions and values. It aims to provide insights for developing responsive and inclusive housing policies that cater to the diverse needs of this demographic amidst rapid technological and societal changes. Research design, data and methodology: The study, conducted from April to May 2024, surveyed 381 foreign residents in Seoul and major cities. Participants, selected based on a minimum one-year residency, completed structured questionnaires. The survey covered demographic details, housing preferences, and satisfaction. Data analysis using SPSS 27.0 involved frequency analysis, factor analysis, reliability analysis, correlation analysis, and regression analysis to identify significant factors affecting housing satisfaction among foreign residents. Results: Five of the six housing preference variables significantly impacted satisfaction, with housing facilities being the most influential. Housing environment, affordability, location, and management also had notable effects on satisfaction levels. Conclusions: The study reveals significant determinants of housing satisfaction among foreign residents in South Korea, highlighting the need for inclusive housing policies. Addressing the diverse needs of foreign residents is crucial for supporting Korea's transition to a multicultural society and enhancing foreign residents' integration and overall satisfaction. This includes tailored policies for different demographic groups based on their specific housing preferences and economic conditions.

경피적 관상동맥 성형술의 성공율에 영향을 미치는 인자에 대한 고찰 (Determinants of Successful Percutaneous Transluminal Coronary Angioplasty)

  • 최교원;권준영;김영진;이태일;신동구;김영조;심봉섭;이현우;이삼범
    • Journal of Yeungnam Medical Science
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    • 제11권2호
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    • pp.230-239
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    • 1994
  • 경피적 관상동맥 성형술의 성공율과 그에 영향을 주는 인자들을 알아보기 위하여 1992년 9월부터 1993년 8월까지 영남대학교 의과대학 부속병원에 입원하여 급성 심근경색증, 불안정형 협심증, 안정형 협심증, 경색후 협심증으로 진단된 172개소의 협착병소를 대상으로 하여 경피적 관상동맥 조영술 및 성형술을 시행하였다. 임상적 변수들로 나이, 성별, 협심증기간, 심혈관 위험인자, 임상적 진단명으로 구분하였고, 협착병변의 특정 및 술기적 변수들로는 American Heart Association/American College of Cardiology에 따른 분류, 병변혈관의 위치, 협착병소의 길이, 석회화 유무 그리고 팽창압력과 팽창시간들로 구분하였고 성공군과 실패군에서 각각의 혈관탄성반도를 구하였다. 관상동맥 성형술의 전체성공율은 87.2%이고 성별로는 여성이 93.5%로 남성보다 높았으며 임상적 진단에 따라서는 안정형 협심증이 93.7%로 가장 높았고 경색후 협심증이 77.7%로 가장 낮았다. 협착부위의 소견중 45도 이상 굴곡된 병변과 혈전이 있는 병변에서 성공율이 낮았고 성공군과 실패군의 비교에서 관상동맥 성형술 전의 지름 협착율, 혈관탄성반도, 그리고 병변의 길이가 실패군에서 유의하게 크게 나왔다(p<0.05). American Heart Association/American College of Cardiology 분류에서는 C형에서, 단일 혈관 질환보다는 다혈관 질환에서 성공율이 낮았고 그외 관상동맥 성형술전에 혈전용해 요법을 시행했을 때가 관상동맥 성형술만을 시행했을 때보다 성공률이 높았다. 결론적으로 관상동맥 성형술의 성공율에 영향을 미치는 인자로는 다혈관 질환, 45도 이상 굴곡된 병소, 혈전이 동반된 병소, Type C인 병소(p<0.05), 협착정도(p<0.05), 혈관탄성반도(p<0.05), 협착길이 (p<0.05)로 보이며 앞으로 더 많은 례에서의 연구, 검토가 필요할 것으로 사료된다.

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택지지구 공동주택용지의 투자가격 결정요인에 관한 연구 - 토지특성 및 시장요인 관점에서 - (A Study of the Price Determinants for Public Residential Land Investment - From the Perspective of Land and Market Factors -)

  • 최기헌;이상엽
    • 한국건설관리학회논문집
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    • 제17권3호
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    • pp.108-115
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    • 2016
  • 공공택지지구의 공동주택용지 매입을 통한 아파트 개발사업에서 원재료인 토지에 투자하는 부분에 대해서는 사업시행자의 내부화된 정보와 개별적인 분석에 의존하여 투자결정모형을 일반화하기 어려웠다. 이에 본 연구는 아파트 개발사업에서 가장 중요한 공동주택용지 투자가격 결정을 위해 토지의 개별 특성과 아파트 시장요인이 공동주택용지 가격에 어떠한 영향을 미치는 지에 대해 분석하였다. 이를 위해 다중회귀분석방법을 활용한 횡단면 분석을 한 결과, 토지총금액에 영향을 주는 요인은 토지면적, 용적률, 건폐율, 지방권인지 여부였으며, 지상연면적당 토지가격에 영향을 주는 요인은 아파트 비율, 아파트 매매가격 및 전세가격, 분양이득변수, 지방권인지 여부, 아파트 가격지수 1년간 상승률 등으로 나타났다. 이러한 연구결과를 통해 토지 자체의 개별요인에 의한 가격결정 요인과 완제품 시장인 아파트 시장과 원재료 시장인 토지시장과의 연관성을 규명하여, 시장요인에 근거한 객관적인 토지투자가격 결정모형을 도출하였다. 이를 통해 공동주택용지를 공급하는 사업자는 사업지구 조성 시 공동주택용지 매각금액의 적정성을 추정할 수 있고, 토지수요자인 건설사업자는 토지투자를 위한 가격결정 범위를 추정하는 데 실질적으로 기여할 수 있을 것으로 기대한다.