• Journal of Cadastre & Land InformatiX
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• v.45 no.1
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• pp.137-150
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• 2015

The methodology on digital cadastre(World Geodetic System Conversion) needs to be specified because the primary target site is discussed for large national estate such as road, river etc. on nationwide. Comprehensively reviews on similar cases and literature reviews to make a methodology for digital cadastre on large national estate, cadastral map revision is required before converting to World Geodetic System. The revisions are on subdivision survey or the other surveys to the necessary area through inspection of geometry and attributes. And the researcher pointed out the need of registration conversion and union of parcel to remove small parcel or to remove the inconsistency of land use type. Basically a systematic maintenance of cadastral map is necessary because the World Geodetic System Conversion unresolved the poor cadastral map quality to digital cadastre on large national estate.

• Journal of the Korean Professional Engineers Association
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• v.38 no.4
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• pp.7-9
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• 2005

The recent speculation fever in Kangnam and its southern vicnity of Seoul resulted in surging apartment prices. The government is determined to employ more effective anti-speculation policy measures to control the property speculative demand. The Government plans to implement support measures to discourage people from owning multiple homes by reinforcing tax measures. To meet the increasing demand for more large-sized apartments in Seoul, the Government may allow to build more large sized units. By the end of August, 'a comprehensive package tool of real estate policy measures' ,as a real estate controlling guidelines, is scheduled to be presented by the Government. We hope that the package tool will stabilize housing market more effectively and enhance the national economy.

• Journal of the Economic Geographical Society of Korea
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• v.17 no.4
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• pp.675-687
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• 2014

After colonization by the Japanese Empire, Seoul had experienced structural changes during the 1920s. As the number of residents increased dramatically, the land price of Seoul began to skyrocket, bringing about a new type of real estate developers. They invented a new type of hanok, which is very small compared to a traditional hanok, by dividing a large parcel of land into several small pieces. These hanoks were built by Korean developers who ran their business like modern developers today-acquiring large piece of land, developing and selling the property, and even providing financing schemes to buyers in some cases. However, the Korean developers mainly provided housing to the poor Koreans suffering from housing shortage. At the time, many Koreans worried that the City of Seoul would turn into a Japanese city, since the Japanese were trying to expand their real estate development to the north of Cheonggyecheon. However, their development plans have been neglected, as a result of the development activity of the Korean Jerry-builders in the north. The purpose of this paper is to reevaluate the role of the Korean developers in real estate development during the colonization period, especially in the 1920s.

• Journal of the Korean housing association
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• v.27 no.1
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• pp.1-11
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• 2016

Based on residents' survey data in Seoul, this study attempts to empirically answer to four research questions regarding neighborhood relations (NR) which are necessary for community building: How important NR is compared to other social relations, what factors establish NR, how large NR's geographical extent is, and what are major meeting places among neighbors. A series of statistical analyses demonstrates that characteristics of NR vary greatly by family life cycle. In the stage of couple without child, NR has no significant meaning. NR becomes important from the stage of child care, and it is formed through the medium of children, particularly children's schools in the stage of child of elementary school as well as secondary schools. As the result, NR's geographical boundary extends beyond residential block or multi-family housing (apartment) estate while cafe and restaurant serve as dominant meeting places in these life cycle stages. On the contrary, after children are married and leave home, casual encounters resulted from spatial proximity become an important cause of NR. Likewise neighbors' geographical distribution is relatively concentrated within residential block or apartment estate, while community facilities play a role of meeting places as originally planned and designed.

• Journal of the Economic Geographical Society of Korea
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• v.16 no.1
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• pp.71-85
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• 2013

This paper examines the impact of urban space structure on real estate markets, especially on commercial real estate markets. Based on a large scale of GIS dataset, volumes of each land use type are examined. This vast dataset enables 3-dimensional analysis of land use in the entire Seoul area, overcoming the limits of previous research relying on simple 2-dimensional analysis. After then, the Herfindahl index is used to calculate the level of mixed-uses. It analyzes whether a building price is influenced by circumjacent commercial buildings and its residential development pattern. The regression outcomes verify that a nearby area's development patterns make an impact on an office building price. It shows the possibility that a new-urbanism's argument can be actualized.

• Explosives and Blasting
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• v.18 no.3
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• pp.99-106
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• 2000

The geology of Nogsan industrial estate area, Pusan, Korea consists mainly of andesitic rocks, rhyolitic rocks and hornblende granite. They are then intruded by basic and acidic dikes. All of the igneous activities in this area are in Cretaceous time, that is the lower part of Silla group in Gyoungsang basin. Andesitic volcanic rocks are distributed in two separate basines: Saengok basin and Doodong basin. Although both basines contain andesite and andesitic breccia(Kab), younger andesitic activity was more active to the western Doodong basin giving very little influence on the eastern Saengok basin. Sediments in the area are quarternaly alluvium and colluvium. Alluvium is very thick and consists mainly of silt and clay deposited as delta deposits at the mouth of Nakdong river. Colluvium in the area is short distributary channel deposits. The area is largely filled with socks and sediments to build industrial estates especially on the delta deposits at Shinhodong area and on the shoreline mud bed between Yongwondong and Shinhodong. A careful investigation to avoid the possibility of a large scale mud flow is suggested because it could be trigered by many reason such as an earthquake or a flood on the land where a heavily loaded salt-water may soaked into the muddy bed lying on the granitic basement gently dipping toward the ocean. Althouth the area is in the Yangsan fault zone no ground evidence of fault can be seen despite the RESTEC sattlite image gives excelent traces of linearments in the area.

• Journal of the Economic Geographical Society of Korea
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• v.16 no.4
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• pp.631-646
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• 2013

This paper empirically explores the pattern of causality between bank lending and housing prices in Korea over a period of the early 1990s to the end of 2000s by employing a long term cointegration and short-term time series regression analysis. Although the contemporaneous correlation between bank lending and housing prices is large, the analysis shows that the intense interaction between credit growth and bank lending to household arises from a growth in banking lending responding to an increase in housing prices. In addition, the regulatory change such as the introduction of financial constraints on bank loans such as LTV and DTI in the early and mid-2000s has played a significant role in stabilizing financial and real estate markets.

• The Journal of Industrial Distribution & Business
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• v.9 no.5
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• pp.63-72
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• 2018

Purpose - This work analyzes, in detail, the specification of vector error correction model (VECM) and thus examines the relationships and impact among seven economic variables for USA - balance on current account (BCA), index of stock (STOCK), gross domestic product (GDP), housing price indices (HOUSING), a measure of the money supply that includes total currency as well as large time deposits, institutional money market funds, short-term repurchase agreements and other larger liquid assets (M3), real rate of interest (IR_REAL) and household credits (LOAN). In particular, we search for the main explanatory variables that have an effect on stock and real estate market, respectively and investigate the causal and dynamic associations between them. Research design, data, and methodology - We perform the time series vector error correction model to infer the dynamic relationships among seven variables above. This work employs the conventional augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) unit root techniques to test for stationarity among seven variables under consideration, and Johansen cointegration test to specify the order or the number of cointegration relationship. Granger causality test is exploited to inspect for causal relationship and, at the same time, impulse response function and variance decomposition analysis are checked for both short-run and long-run association among the seven variables by EViews 9.0. The underlying model was analyzed by using 108 realizations from Q1 1990 to Q4 2016 for USA. Results - The results show that all the seven variables for USA have one unit root and they are cointegrated with at most five and three cointegrating equation for USA. The vector error correction model expresses a long-run relationship among variables. Both IR_REAL and M3 may influence real estate market, and GDP does stock market in USA. On the other hand, GDP, IR_REAL, M3, STOCK and LOAN may be considered as causal factors to affect real estate market. Conclusions - The findings indicate that both stock market and real estate market can be modelled as vector error correction specification for USA. In addition, we can detect causal relationships among variables and compare dynamic differences between countries in terms of stock market and real estate market.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• v.5 no.1
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• pp.28-36
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• 2024

Effect of climate change on the agricultural sector has been predicted and studied, including its effects on coffee cultivation. Climate change can directly impact coffee production or indirectly influence it through its effects on coffee pests. In Indonesia, coffee is a critical export commodity. Climate change can have a large effect on many farmers if it is not addressed appropriately. This study summarizes several studies and data on how climate change affects coffee production and the coffee berry borer (CBB; Hypothenemus hampei) pest in Indonesia. Adaptation plans that can be employed to mitigate impacts of climate change are also summarized.

• Journal of the Korean Geographical Society
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• v.49 no.6
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• pp.917-934
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• 2014

Geographically weighted regression(GWR) model has been widely used to estimate spatially heterogeneous real estate prices. The GWR model, however, has some limitations of the selection of different price determinants over space and the restricted number of observations for local estimation. Alternatively, the geographically weighted LASSO(GWL) model has been recently introduced and received a growing interest. In this paper, we attempt to explore various local price determinants for the real estate by utilizing the GWL and its applicability to forecasting the real estate price. To do this, we developed the three hedonic models of OLS, GWR, and GWL focusing on the sales price of apartments in Seoul and compared those models in terms of model fit, prediction, and multicollinearity. As a result, local models appeared to be better than the global OLS on the whole, and in particular, the GWL appeared to be more explanatory and predictable than other models. Moreover, the GWL enabled to provide spatially different sets of price determinants which no multicollinearity exists. The GWL helps select the significant sets of independent variables from a high dimensional dataset, and hence will be a useful technique for large and complex spatial big data.