• Journal of the Korean Society of Environmental Restoration Technology
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• v.6 no.1
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• pp.1-14
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• 2003

In this study, to take the object of this thesis on understanding the characteristics on marketing structure and marketing distribution of landscape materials after consideration in the side of prices trends which is important factors for analysis in understanding the market of landscape materials. To do this, Analysis is divided into the prices trends. The investigation of prices trends and marketing distribution are to collect data refer to purchases and sales reports, these results are used to analyzed the operative factor of forming market structure. The periodic range of this thesis is limited from 1996 to 2000 and analytic articles is limited on 609 landscape materials(planting materials : 567 articles, facility materials : 7 articles, the other : 35 articles). The results of the whole prices trends and marketing distribution survey can be summarized as follows : 1. Prices trends of showing 3 types of landscape materials : In cases of planting, facility and the others materials, the annual average increasing rate of the index number of price was 3.1%, 3.4%, 3.1% while the KPRC(Korea Price Research Center) price was 3.98% for the past five years. 2. GSP(Government Specified Prices) Prices trends of showing 3 types of landscape materials : In cases of planting, facility and the others materials, the annual average increasing rate of the index number of price was 3.7%, 1.2%, 2.6% while the KPRC(Korea Price Research Center) price was 3.98% for the past five years. This increase indicates a small price margin, particularly, the GSP price of planting materials should be adjusted to a realistic level. 3. Native and exotic product Prices trends of showing 3. types of landscape materials : In cases of Native planting, facility and the others materials, the annual average increasing rate of the index number of price was 3.2%, 3.2%, 3.6% while cases of exotic was 3.1%, 1.0%, 5.8% for the past five years. The index number increase of prices of exotic landscape materials were fluctuated more than those the native landscape materials.

• Journal of the Korean Institute of Landscape Architecture
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• v.23 no.3
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• pp.113-131
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• 1995

This study was conduced out to analyze the price trends of landscape woody plants during the past ten years. The method of this study was applied to secendary data analysis and the data were collected from "Government Specified Monthly Price Book" and "Monthly Price Book" The results of this study were as follows : 1. The annual average increasing rate of the GSP price was 3.9% while the KPRC price was 8.9% for the past ten years. The ratio of the KPRC price by GSP price was 94.7% in 1985 and it increased by 147.3% in 1994. This increase indicates a large price margin between two prices. The GSP price should be readjusted to a realistic level. 2. For the same period, the prices of native Korean tree were raised by 3.8% and 9.5% in annual average rate. Meanwhile, the exotic tree prices were raised by 3.6% for and 7.8% for in annual average rate. The prices of native Korean tree were raised more than those the exotic tree. 3. The annual average increasing rates of the twenty for species prices which were high ranked among all species prices were 12% for and 21.5% for . These top twenty species drove to markup trend of tree prices. 4. The annual average price increasing rate of major species which are used frequently for landscaping was higher than total increasing rate of all species. This result shows that the prices of the major species markup more than others. 5. From 1985 to 1994, the prices of 29 new species were listed on "The government specified monthly price book" and the prices of 40 species were newly listed on "Monthly price book". On the contrary, 3 species from "The government specified Monthly Book" and 10 species from "Monthly Price Book" were eliminated. The number of new listed on the native Korean species were twice as many as the exotic species. In addition, there is a need to study and explain reaon of the elimination.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.1-6
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• 2011

As large-scale building projects have recently increased for the residential, commercial and office facilities, construction costs for these projects have become a matter of great concern, due to their significant construction cost implications, as well as unpredictable market conditions and fluctuations in the rate of inflation during the projects' long-term construction periods. In particular, recent volatile fluctuations of construction material prices fueled such problems as cost forecasting. This research develops a time series model using the Box-Jenkins approach and material price time series data in Korea in order to forecast trends in the unit prices of required materials. Building information modeling (BIM) approaches are also used to analyze injection times of construction resources and to conduct quantity take-off so that total material prices can be forecast. To determine an optimal time series model for forecasting price trends, comparative analysis of predictability of tentative autoregressive integrated moving average (ARIMA) models is conducted. The proposed BIM-based time series forecasting model can help to deal with sudden changes in economic conditions by estimating material prices that correspond to resource injection times.

• Journal of Distribution Science
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• v.21 no.7
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• pp.41-50
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• 2023

Purpose: The purpose of the research is identified factors influencing the competitiveness of the copper industry in Kazakhstan. Research design, data and methodology: A few studies are dedicated to the analysis in developing countries, particularly Kazakhstan. The algorithm was chosen for research provision: statistical and comparative analysis, correlation, and regression analysis. The data of 1999-2021 obtained from the World Bank, Bureau of National Statistics, National Bank of Kazakhstan. Results: The obtained results demonstrate the trends in the development of the industry since 2000. The development of the copper industry is strongly influenced by the distribution and state of the business environment, economic situation, and trends in the global commodity markets. Conclusions: According to econometric modeling, there is a correlation between the profitability of the copper industry, GDP, copper prices, liquidity, and energy resource prices. Trends in global commodity and energy markets have a significant impact on the state of the industry. Further research should be conducted to include an analysis and forecast of internal factors that may affect the development of the industry, such as copper reserves, condition of fixed assets, government programs, etc. It is also important to examine the correlation with the trends in the development of the global green economy and the revival of the Chinese market.

• Asia-Pacific Journal of Business
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• v.11 no.4
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• pp.189-203
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• 2020

Purpose - This study aims in analyzing the dynamic relationship between household loans and housing prices according to the characteristics of depository institutions after the financial crisis, identifying the recent trends between them, and making policy suggestions for stabilizing house prices. Design/methodology/approach - The monthly data used in this study are household loans, household loan interest rates, and housing prices ranging from January 2012 to May 2020, and came from ECOS of the Bank of Korea and Liiv-on of Kookmin Bank. This study used vector auto-regression, generalized impulse response function, and forecast error variance decomposition with the data so as to yield analysis results. Findings - The analysis of this study no more shows that the household loan interest rates in both deposit banks and non-bank deposit institutions had statistically significant effects on housing prices. Also, unlike the previous studies, there was statistically significant bi-directional causality between housing prices and household loans in neither deposit banks nor non-bank deposit institutions. Rather, it was found that there is a unidirectional causality from housing prices to household loans in deposit banks, which is considered that housing prices have one-sided effects on household loans due to the overheated housing market after the financial crisis. Research implications or Originality - As a result, Korea's housing market is closely related to deposit banks, and housing prices are acting as more dominant information variables than interest rates or loans under the long-term low interest rate trend. Therefore, in order to stabilize housing prices, the housing supply must be continuously made so that everyone can enjoy housing services equally. In addition, the expansion and reinforcement of the social security net should be realized systematically so as to stop households from being troubled with the housing price decline.

• Journal of the Korean Data and Information Science Society
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• v.17 no.3
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• pp.795-804
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• 2006

Most internet auction sites open to users the bid history with the ascending order of bid amounts. Whereas eBay.com presents second bid prices, auction.co.kr provides highest bid prices. In this paper, the bidhistory is arranged according to the passage of tim, which can help to understand the situations and trends of bid prices, especially for multiple auctions. This manipulated data can be visualized by using profile plots. The successful bid prices could be estimated based on some prediction models with appropriate prior informations. Both sellers and bidders can be provided useful informations with these statistical analyses, and then fair online auctions in Korea will grow actively and rapidly.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.253-260
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• 2022

Existing web-based cost databases have proved invaluable for construction cost estimating. These databases have been utilized to compute approximate cost estimates using assembly rates, unit rates, and etc. These web-based databases can be used independently with traditional cost estimation methods (manual methods) or used to support BIM-based cost estimating platforms. However, these databases are rigid, costly, and require a lot of manual inputs to reflect recent trends in prices or prices relative to a construction project's location. To address this gap, this study integrated deep learning techniques with web-based price analysis to develop a database that incorporates a project's location cost estimating standards and current cost trends in generating a cost estimate. The proposed method was tested in a case study project in Lagos, Nigeria. A cost estimate was successfully generated. Comparison of the experimental results with results using current industry standards showed that the proposed method achieved a 98.16% accuracy. The results showed that the proposed method was successful in generating approximate cost estimates irrespective of project's location.

• Journal of the Korea Furniture Society
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• v.19 no.1
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• pp.33-43
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• 2008

This study intended to explore trends of furniture sold in general merchandise stores such as Lotte mart, E-mart, GSmart, Home ever, and Home plus, which are run by conglomerates in Korea. Through internet, related books and papers, interviews with the mart-related people, styles, items, prices, manufacturers, and materials of furniture well sold in the marts were researched and analyzed qualitatively. As the result of the analysis, the furniture expressed the scale to be able to put in the cart of the marts, knock-down and folding structure to be easy to disassemble, pack, and move, low prices below one hundred thousand won, the light materials like plastic, aluminum and the more MDF than hard wood. Each item was made of PB reflecting lower prices of 10 to 20 percentage for the consumer.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.21 no.2
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• pp.295-301
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• 2023

To broaden the utilization of nuclear energy, uranium as a fuel should be mined indispensably. Mining accounts for the largest portion of the cost of producing the uranium assembly. Therefore, this study analyzes the trends of uranium prices, which have a significant impacts on the mining cost. Uranium production contributing to the price fluctuations is explained in five periods from 1945 to the present. Moreover, the series of events affecting uranium prices from the 1970s until the present are verified. Among them, the most recent incidents considered in this study are the following: COVID-19 pandemic, Kazakhstan unrest, and Russia-Ukraine war. European countries have started to reconsider the transition to nuclear power to reduce their dependence on Russian oil and gas, which has contributed to the surge in uranium prices. Based on the results of this study, various international issues have been closely associated with the nuclear power industry and uranium, affecting the production of uranium and its price.

• The Journal of Economics, Marketing and Management
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• v.6 no.2
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• pp.29-33
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• 2018

Purpose - This study aims to offer the suggestions for the researches and policies that could be used as important data to effectuate future FTA. The objective of this study is to suggest a direction of Korea that can form a new logistics hub in Northeast Asia. Research design, data, and methodology - This study was conducted in parallel with literature review and empirical studies for the analysis. 180 valid samples were collected from Korean consumers', and qualitative analysis was employed on the satisfaction level of imported goods welfare of Korean consumers. Results - It is expected that Korea and China would experience increased opportunity factors in this area with the growth of economic sphere in Northeast Asian. If existing problems are solved by utilizing regional environment efficiently together, the hub function of Northeast Asia logistics will be advanced. Conclusions - Korea is introducing and operating special economic zones that provide the exception and support for foreign investment. Therefore, it is necessary to monitor the prices of imported goods, so that the exporters can adjust the prices and obtain the unjust profit equivalent to the tariff reduction by grasping the overseas market trends of the imported product prices.