• East Asian Economic Review
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• v.27 no.1
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• pp.3-31
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• 2023

Dissemination of information can enhance smallholder farmers' agricultural outcomes and incomes in developing countries. However, the impact evaluation for new information can be inaccurate without considering pre-existing information that the indigenous people have used. This study explores qualitative causal links between existing agricultural information used by Lao smallholder farmers on rice yield and selling price with 180 household data. We categorized the pre-existing information into weather, farming technique, input, intermediate trader, and sales price. The source of each piece of information is used as an instrumental variable to overcome the endogeneity issue between information use and agricultural outcomes. Using farming technique information positively affects rice yields by 57.1% compared to those without that information. Moreover, intermediate trader and crop sales information result in 64.5% and 60.0% higher selling prices than non-user groups. A statistically significant causal relationship exists with agricultural outcomes. The more genuine impact should be measured with a newly updated impact evaluation approach that considers this pre-existing agricultural information.

• Journal of Environmental Science International
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• v.25 no.12
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• pp.1701-1715
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• 2016

This study is a basic investigation of the contents and services relevant to the domestic vacation house business. In which, the trade scale, types of housing, and environmental conditions of various property locations were analyzed. The characteristics of properties listed on the Japanese website that conducts the greatest volume of vacation house trade in Japan were examined, and the following results were obtained: Villa areas, villas, and resort condos (resort mansions) are the three basic types of properties handled in the vacation house trade. In this market, sales per unit in villa areas and per spaces in resort condos accounted for the highest volume of trade, followed by that of villas (individual houses). In terms of land area, floor area, and sales price per house type, the relatively cheaper small and medium-sized vacation houses are more frequently traded, than expensive large-scale villas. In particular, small multi-family type villas (such as in resort condos) are the most popular. Land and floor area, and sales prices all show considerable variation depending on the type of property considered. Therefore, a business initiative to provide a more detailed classification of properties is required. In terms of the environment of vacation properties, most are located on coasts, plateaus, or inland mountains, and are generally within three-hours' traveling distance of large cities.

• The Journal of Bigdata
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• v.7 no.2
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• pp.217-224
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• 2022

Since online shopping has become common, people can easily buy fashion goods anytime, anywhere. Therefore, consumers quickly respond to various environmental variables such as weather and sales prices. Therefore, utilizing big data for efficient inventory management has become very important in the fashion industry. In this paper, the changes in sales volume of fashion goods due to changes in temperature is analyzed via the proposed big data analysis algorithm by utilizing actual big data from Korean fashion company 'A'. According to the simulation results, it was confirmed that Bidirectional-LSTM(Bi-LSTM) compared to LSTM(Long Short-Term Memory) takes more simulation time about more than 50%, but the prediction accuracy of non-periodic time series data such as clothing product sales data is the same.

• Journal of Digital Convergence
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• v.19 no.9
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• pp.9-18
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• 2021

Constructing the Metropolitan Railway Express (the GTX) may have an impact on consumer confidence and housing sales price located near the planned route. This study looked at how consumers' psychology and housing prices change as the large-scale transport infrastructure plane was planned. Also, it looked at the relationship between consumer sentiment and housing prices to analyze the impact of new transportation facilities inflows. Using a correlation analysis, the relationship between the consumer sentiment index and the actual transaction price of apartments was identified. The impact of GTX on the consumer sentiment index and the actual transaction price of apartments was looked at using the Difference-in-Differences methodology. Our finding shows that the construction plan of a large-scale transportation infrastructure in the metropolitan area affects the sentiment of housing consumption and actual transactions. In a situation where the government is speeding up the construction of a wide-area transportation network such as GTX with the goal of becoming a city where people can commute to downtown Seoul within 30 minutes, policies that can stabilize the housing market in transportation hubs should be suggested.

• Journal of Cadastre & Land InformatiX
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• v.48 no.2
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• pp.5-20
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• 2018

This paper aims to analyze characteristic by the cities focused on the ratio of new apartment resale that is one of the apartment unit sale market, which has been increased recently. So, this study examined characteristics of population, apartment trade & sale, housing with 162 cities and counties and performed multiple regression analysis with dependent variable, ratio of new apartment resale. As a result. the factors affecting the ratio of new apartment resale are 7variables, apartment sales rate, transfer of ownership, apartment turnover rate, sale volume, regional apartment rate, population increasing rate, housing average apartment sale price rate. In terms of the increase in apartment sales prices, the rate of sales price increase was relatively low in areas where the transaction rate for apartment sales is high, and the number of apartment sales right transactions increased as the number of other ownership transfers rose. As a result, the data will be based on the improvement of the government's policies and systems to stimulate the transaction focused on the real estate agents in the apartment market.

• Journal of Industrial Convergence
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• v.20 no.12
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• pp.179-186
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• 2022

This study aims to develop a predictive model to suggest a used sales price to sellers and buyers when trading used tablet PCs. For model development, we analyzed the real used tablet PC transaction data and additionally collected detailed product information. We developed several predictive models and selected the best predictive model among them. Specifically, we considered a multiple linear regression model using the used sales price as a dependent variable and other variables in the integrated data as independent variables, a multiple linear regression model including interactions, and the models from stepwise variable selection in each model. The model with the best predictive performance was finally selected through cross-validation. Through this study, we can predict the sales price of used tablet PCs and suggest appropriate used sales prices to sellers and buyers.

• Korean Journal of Construction Engineering and Management
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• v.4 no.4 s.16
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• pp.69-79
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• 2003

About 93$\%$ of domestic teal estate construction firms registered as the end of 2001 recorded net profits of only less than 500 million won(including firms in the red) for the term. As a result of having analyzed the ratios of sales costs and the structural ratios of sales costs for the past 10 years, it was found that there have been great changes in structural ratios of sales costs. Material costs and labor costs have gradually decreased, but outsourcing costs of processing have greatly increased. In order to find activity points which are fundamental to cost control, the methods of new activity based cost management have been pursued. The characteristics of real estate construction industry lie in the fact that contract prices (sales in) are fixed and amounts of profits differ depending on the use of costs. In order to create maximum profits from fixed contract prices, the new activity based cost management has been proposed. The control of operation budgets and management costs is designed to control their schedules and expenses in different respects. Operation budgets ate executed with specific activities and management costs are controlled as a form of material costs, labor costs, out sourcing costs and expenses which are details of expenditure. In order to execute them by using the methods of new activity based cost management, first of all, we have to analyze what activity drivers ale and how much added values such activities can create. It is considered as a method of cost management which is necessary far the survival management of real estate construction industry.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.12
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• pp.1739-1748
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• 2021

Real estate prices affect countries, businesses, and households, and many studies have been conducted on the real estate bubble in recent soaring real estate prices. However, if the real estate bubble prediction simply compares the real estate price, or if it does not reflect key psychological variables in real estate sales, it can be judged that the accuracy of the bubble prediction model is poor. The purpose of this study is to design a predictive model that can explain the real estate bubble situation by region using the autoencoder technique. Existing real estate bubble analysis studies failed to set various types of variables that affect prices, and most of them were conducted based on linear models. Thus, this study suggests the possibility of introducing techniques and variables that have not been used in existing real estate bubble studies.

• Journal of Preventive Medicine and Public Health
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• v.25 no.1 s.37
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• pp.64-72
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• 1992

To provide the information necessary for the insurance medicine management plan, price discount rates among the insurance medicines were studied. A total of 2,107 items of insurance medicine of which prices were discounted via governmental inspections of real transactional process of insurance medicine were analysed. The conclusions are as follows; 1. Among the variables relevant to the characteristics of manufacturers, price discount rates of insurance medicines were statistically significant with production rankings of manufacturers, incorporation year, existence of investments by foreign corporation, existence of a research institute, and enrollment in the exchange. And among the variables relevant to the properties of medicines, the number of enrolled items which have the same components, classification, the date of new enrollment, the sales of items, and the number of raw materials in the items were statistically significant. 2. Stepwise multiple regression was done to identify the factors which affect the price discount rates of insurance medicines. The number of enrolled items which have the same components, production rankings of manufactures, classification number (medicines for function of tissue cells), incorporation year(1940-1949), existence of investments by foreign corporations, classification number (anti-germ medicines), number of raw materials In the items, the sales of items, and medicines whose major objective is not treatment were significant variables and the $R^2$-value for these variables was 21.2%. Considering all of the above results, for management of insurance medicines, it seems important that the real transactional prices of insurance medicines should be identified systematically, focusing on the properties which affect the price discount rates of insurance medicines.

• Journal of the Korean Society of Safety
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• v.33 no.4
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• pp.62-71
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• 2018

The purpose of this study is to conduct surveys on demanders using financial aid projects to prevent industrial accidents and to improve them. It is divided into clean business and loan support business through the structured questionnaire. In the case of clean business, the following results were obtained. Most of the applications were received within three months after application. The most important factor considered by the consumer is the amount of support, which is considered to consider the substantial improvement as follows.The expectation for the reduction of industrial accidents after the project was 96.1% and compared to before and after the actual business, it showed a 46.8% decrease from the previous year. In addition, the cost decreased by 21.8%, the facility utilization rate increased by 24.4%, the sales increased by 15.9%, and the average number of workers increased by 6.0. As for the sustainability of the business, 86.6% of the respondents said that they should continue to do so. The following results were obtained in the case of loan support projects. Industrial accidents decreased by 45.2% from the previous year. Costs decreased by 19.4%, facility utilization rose by 26.7%, sales increased by 14.9%, and the number of workers increased by an average of 2.8. In the case of suppliers, prevention of industrial accidents at the business sites participating in the clean business was the highest factor (67.0%). 89% of respondents were aware of the disposal criteria for ineligible suppliers. 50.6% of the respondents answered that it is appropriate to maintain the current level, and 39.4% of respondents answered that they should strengthen. The prices for the support items were more than 15% higher than the market prices.