• 제목/요약/키워드: Price Determinants

검색결과 229건 처리시간 0.028초

농지실거래가격을 활용한 필지 단위 농지가격 결정요인 분석 (Analysis of Farmland Price Determinants in Parcel-level Using Real Transaction Price of Farmland)

  • 전무경;이향미;김윤식;김태영
    • 농촌계획
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    • 제28권2호
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    • pp.41-50
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    • 2022
  • The primary purpose of this study is to identify various factors that affect farmland prices according to changes in the actual transaction price of farmland over the past decade, and to use this to derive policy implications for price stabilization. To this end, the farmland price model are constructed at the parcel level in the case area (Namwon-si, Jinju-si). The analysis method is based on the Hedonic price function, and the OLS and the quantile regression are used for the parcel level model. As a result of estimating the parcel level farmland price model in the case area, the larger the parcel area, the lower the farmland price, and the higher the farmland price outside the agricultural promotion area. It was found that there was a price difference according to the type of special purpose areas, and the location characteristics showed some differences across the cities. The farmland price models presented in this study are suitable for identifying the factors affecting farmland prices, and are expected to be highly utilized in that it is possible to construct flexible variables suitable for regional characteristics.

분위회귀분석을 적용한 단독주택의 가격형성요인에 관한 연구: 서울시 소재 단독주택을 대상으로 (A Study on the Single-Family House Price Determinants Analyzed by Quantile Regression: In case of locating single family houses in Seoul)

  • 양승철
    • 대한지리학회지
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    • 제49권5호
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    • pp.690-704
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    • 2014
  • 단독주택은 전통적인 인간의 주택 유형이다. 그럼에도 불구하고 이들 단독주택에 대한 관심이 적어 연구가 부족한 편에 속한다. 본 연구는 서울시에 소재하는 단독주택을 대상으로 분위회귀분석을 적용하여 가격형성요인을 분석하였다. 통상최소자승법의 경우 종속변수와 독립변수의 평균적인 관계를 파악하기 때문에 단독주택처럼 고가 주택과 저가 주택의 차이가 큰 경우에는 한계가 존재할 수 있다. 서울시 단독주택에 대한 분위회귀분석 결과 통상최소자승법의 유의미한 변수와 대체로 유사하였으며, 건폐율, 용도지역, 소재 지역, 경과연수, 지하층 유무, 고저, 형상이 도출되었다. 그러나 건폐율, 고저의 경우 저가 주택에서, 중가의 주택에서는 지하층 유무가, 고가 주택에서는 소재지역이 더욱 중요하다는 것을 알 수 있었다. 아울러 접근성은 단독주택에 유의미한 변수가 아니지만, 고가주택은 오히려 버스정류장과 멀어질수록 가격이 높아지는 것으로 나타났다. 강남지역에 대한 분석결과 건폐율과 접근성은 저가의 주택에 중요한 요인으로 작용한 반면, 고가의 주택에서는 녹지지역일수록 그리고 대중교통수단과 먼 지역일수록 가격이 높아지는 것을 알 수 있었다. 강북지역에서 건폐율 중요도는 모든 분위에서 일정하였으며, 용도지역이 강남지역보다 단독주택의 가겨에 영향을 많이 주지만, 상위 30% 주택에서는 통계적으로 유의한 차이가 없었다. 아울러 강북지역에서는 지하층 유무가 음의 영향을 주는 변수로 도출되었다. 그리고 경과연수의 경우 중 고가의 단독주택에 긍정적인 영향을 주었다. 서울시 및 강남 그리고 강북지역의 분석에서도 접근성 요인은 단독주택에 큰 영향을 주지 못하였다.

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신제품의 확산 결정요인 : 연립방정식 접근법 (The Determinants of New Product Diffusion : A Simultaneous Equation Approach)

  • 윤충한;이지훈
    • 산업경영시스템학회지
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    • 제38권3호
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    • pp.149-158
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    • 2015
  • The purpose of this paper is to investigate the determinants of new product diffusion. We seek to document and explain systematic features of product diffusion. In this essay, we examine the well-documented empirical regularity that the speed of diffusion has accelerated during the twentieth century. The empirical results show that the main source of acceleration are faster declines in prices. Faster price declines make the product affordable to more consumers within a given period of time. Based on theories of intertemporal price discrimination and learning-by-doing, the association between the speed of adoption and the speed of price decline was explained. Faster price declines are attributed to several product characteristics as well as changes in income distribution. Above all, the introduction of consumer electronic products in more recent years can be regarded as the most important factor in accelerating price declines. Consumer electronic products are technologically different from non-electronic goods, in that semiconductors are important components. As the price of semiconductors has dropped rapidly, the falling production costs can be rapidly incorporated to the price of consumer electronic goods. Furthermore, most of the recently introduced consumer electronic products have network externalities, and many products with network externalities require complementary products. A complementary product becomes more readily or cheaply available as more people have the main product. One major difference between previous studies and this study is that the former focuses only on the factors that operate directly on the speed of adoption, while this study incorporated factors that work through price changes as well as the factors that work directly on the speed of adoption.

운수통신 서비스산업의 마크업 결정요인에 관한 실증분석 (Empirical Analysis of the Industrial Markup Determinants in the Transportation & Telecommunication Service Sector)

  • 주연화;강주훈
    • 국제지역연구
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    • 제20권1호
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    • pp.167-181
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    • 2016
  • 한국경제에 있어서 운수통신 서비스 산업은 공공운수 등 공공부문과 민간부문이 동시에 공존하고 있다. 공공부문은 일반적으로 가격규제의 대상이 되며 적정수준의 정상이윤이 보장된다. 본 논문은 생산요소가격으로 구성된 마크업방정식을 설정하고 운수통신산업의 시계열 마크업을 추정하였다. 또한 자기회귀 시차모형을 이용하여 마크업의 생산요소가격 탄력성을 추정하고 마크업의 결정요소를 분석하였다. 실증분석결과, 마크업의 임금탄력도는 -0.07, 수입가격 탄력도는 -0.45 그리고 이자율탄력도는 -0.13으로 추정되었다. 따라서 본 논문은 운수통신산업의 규제정책에 있어서 수입가격과 이자율이 고려되어야 할 주요 변수임을 밝히고 있다.

A GARCH-MIDAS approach to modelling stock returns

  • Ezekiel NN Nortey;Ruben Agbeli;Godwin Debrah;Theophilus Ansah-Narh;Edmund Fosu Agyemang
    • Communications for Statistical Applications and Methods
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    • 제31권5호
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    • pp.535-556
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    • 2024
  • Measuring stock market volatility and its determinants is critical for stock market participants, as volatility spillover effects affect corporate performance. This study adopted a novel approach to analysing and implementing GARCH-MIDAS modelling methods. The classical GARCH as a benchmark and the univariate GARCH-MIDAS framework are the GARCH family models whose forecasting outcomes are examined. The outcome of GARCH-MIDAS analyses suggests that inflation, interest rate, exchange rate, and oil price are significant determinants of the volatility of the Johannesburg Stock Market All Share Index. While for Nigeria, the volatility reacts significantly to the exchange rate and oil price. Furthermore, inflation, exchange rate, interest rate, and oil price significantly influence Ghanaian equity volatility, especially for the long-term volatility component. The significant shock of the oil price and exchange rate to volatility is present in all three markets using the generalized autoregressive conditional heteroscedastic-mixed data sampling (GARCH-MIDAS) framework. The GARCH-MIDAS, with a powerful fusion of the GARCH model's volatility-capturing capabilities and the MIDAS approach's ability to handle mixed-frequency data, predicts the volatility for all variables better than the traditional GARCH framework. Incorporating these two techniques provides an innovative and comprehensive approach to modelling stock returns, making it an extremely useful tool for researchers, financial analysts, and investors.

HOUSING PRICE MODEL USING GIS IN SEOUL (APPLICATIONS OF STRUCTURAL EQUATION MODELING)

  • Kyong-Hoon Kim;Jae-Jun Kim;Bong-Sik Kim
    • 국제학술발표논문집
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    • The 2th International Conference on Construction Engineering and Project Management
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    • pp.366-375
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    • 2007
  • Our nation has a problem with discrimination of income distribution and inefficient of resources distribution caused by real estate price rising from a sudden economy growth and industrialization. Specially, in recent years, there is a great disparity of condominium price between the north and south of the Han river. Because the housing price is deciede by the immanent value of a house and neighborhood effects of the regional where the house is situated, the housing price is occurred difference. In this study, I analyzed the differences of housing price determinants about condominium developments in the old and new residential areas, and found the important factors that affect the condominium price using Structural Equation Modeling(SEM) The purpose of study is to analyze the influence of various factors of housing price. Also, this study tried to predict real estate market and to establish previous effective real estate policy.

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재정비촉진사업에서 조합원의 부동산 보유기간에 따른 재정착 결정요인 분석 (The Determinants Influencing Residential Resettlement of Union Members by Real Estate Ownership Duration in Redevelopment Promotion Project)

  • 윤방현;김홍배
    • 한국콘텐츠학회논문지
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    • 제18권3호
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    • pp.286-298
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    • 2018
  • 본 연구는 재정비촉진사업의 조합원을 대상으로 인구, 경제적, 주거환경, 정책적 특성을 고려하여 재정착 결정요인을 도출하고, 조합원 재정착을 제고하기 위해 정책적 시사점을 제언하였다. 연구의 방법은 조합원의 부동산보유기간을 조합설립인가를 기준으로 10년 이상과 10년 미만으로 구분하고, 로지스틱 회귀분석을 사용하여 각 그룹별 조합원 재정착 결정요인을 도출하였다. 연구결과, 부동산 보유기간 10년 이상인 조합원은 가구주 연령, 이웃과의 관계, 분양가격, 사업지역 내 거주, 부동산 가격상승에 대한 만족도가 높을수록 재정착 결정 확률이 높은 것으로 나타났다. 부동산 보유기간 10년 미만인 조합원은 부동산 가격상승, 분양가격, 용적률 인센티브에 대한 만족도가 높을수록 재정착 결정 확률이 높은 것으로 나타났다. 정책적 시사점은 부동산 보유기간에 따른 자산 가치 상승을 고려하고, 경제적 상황을 반영하여 맞춤형 금융지원을 해야 한다.

시공간자기회귀모형을 이용한 농지가격 결정요인 분석 (Analysis of Determinants of Farmland Price Using Spatio-temporal Autoregressive Model)

  • 이경옥;이향미;김윤식;김태영
    • 농촌계획
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    • 제30권2호
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    • pp.1-11
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    • 2024
  • Farmland transaction prices are affected by various factors such as politics, society, and the economy. The purpose of this study is to identify multiple factors that affect the farmland transaction price due to changes in the actual transaction price of farmland by farmland unit from 2016 to 2020. There are several previous studies analyzed the determinants of farmland transaction prices by considering spatial dependency. However, in the case of land transactions where the time and space of the transaction affect simultaneously, if only spatial dependence is considered, there is a limitation in that it cannot reflect spatial dependence that occurs over time. In order to solve these limitations, To address these limitations, this study builds a spatio-temporal autoregressive model that simultaneously considers spatial and temporal dependencies using farmland transactions in Jinju City as an example. As a result of the analysis, it was confirmed that there was significant spatio-temporal dependence in farmland transactions within the previous 30 days. This means that if the previous farmland transaction was carried out at a high price, it has a spatio-temporal spillover effect that indirectly affects the increase in the price of other nearby farmland transactions. The study also found that various location attributes and socioeconomic attributes have a significant impact on farmland transaction prices. The spatio-temporal autoregressive model of farmland prices constructed in this study can be used to improve the prediction accuracy of farmland prices in the farmland transaction market in the future, and it is expected to be useful in drawing policy implications for stabilizing farmland prices

굴 산지시장의 위판량과 가격관계 (The Volume and Price Relationship of the Oyster Market in Producing Area)

  • 강석규
    • 수산경영론집
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    • 제32권1호
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    • pp.1-14
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    • 2001
  • The research on the price-volume relation in the market is very important because it examines into regular phenomenon revealed by market participants including producers and middlemen. The purpose of this study is to investigate the relationship between price and trading volume in the oyster producing market. In order to accomplish the purpose of this study, the contents of empirical analysis include the time series properties of price and trading volume, the short-term and long-term relationships between price and trading volume, and the determinants of trading volume. The data used in this study correspond to daily price and trading volume covering the time period from January 1998 to April 2001. The empirical results can be summarized as follows : First, price and trading volume follow random walks and they are integrated of order 1. The first difference is necessary for satisfying the stationary conditions. Second, price and trading volume are cointegrated. This long-run relationship is stronger from trading volume to price. Third, error correction model suggests that feedback effect exists in the long-run and that price tends to lead trading volume by about five days in the short run, that is, to be required period by digging, conveying, and peeling oystershell for selling oyster. Fourth, price and price volatility is a determinant of trading volume. In particular, trading volume is a negative function of price. It is believed that the conclusion drawn from this study would provide a useful standard for the policy makers in charge of reducing the oyster price volatility risk caused by trading volume(selling quantities).

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A Study on the Determinants of Bilateral Trade : Evidence from China and US

  • He, Yugang
    • 동아시아경상학회지
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    • 제7권1호
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    • pp.27-38
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    • 2019
  • Purpose - Recently, the trade war between China and US has been escalating, which has also attracted worldwide attention. Based on this background, this paper sets China and US as an example to explore the determinants of bilateral trade between China and US. Research design, date, and methodology - A quarterly data from the 2000-Q1 to the 2017-Q4 will be used to perform an empirical analysis under some econometric approaches such as the fully modified least squares and the vector error correction estimates. Result - The results illustrate that the two economic entities of China and US have the greatest positive effect on bilateral trade between China and US. The real exchange rate has a positive effect on bilateral trade between China and US. The nominal exchange rate has a negative effect on bilateral trade between China and US in the short run. US's average price has a positive effect on bilateral trade between China and US in the short run. China's average price has a negative effect on bilateral trade between China and US in the short run. Meanwhile, the bilateral trade between China and US also suffers from the economic crisis happened in 2008. Even through the bilateral trade between China and US in the short run is deviate from the long-run equilibrium, there exist an error correction mechanism back to the long-run equilibrium. Conclusion - This paper provides some empirical evidences for both governments. Based on the results of this paper, both governments should take corresponding measures to promote the development of bilateral trade between China and US.