• Journal of the Korean housing association
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• v.24 no.2
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• pp.53-60
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• 2013

Recently, in Korea, single- or two-person households (50.5%) are becoming the primary family type due to increasing divorce rates, population aging, personal code of values and so on. Hence, small families will lead to a sudden increase of single- or two-person households. People searching for small houses are increasing because of the provision of officetels, one room and urban-life housing as well as economic recession. However, this has led to habitability problems, such as parking, storage space and decline in safety. In this study, we obtain the proper contents from LQI indicators of advanced research and use the indicators to evaluate the residential environment quality. We conduct a post-occupancy-evaluation (POE) survey and compare the habitability satisfaction level of apartment and officetel residents. According to the survey, officetel residents' satisfaction levels are low for the following factors in the order listed: ventilation, storage space, management expenses and facilities for children and the elderly.

• Land and Housing Review
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• v.11 no.2
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• pp.15-24
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• 2020

In recent years, market access is expected to become more important in logistics location selection. In addition, it is necessary to support logistics functions for small and medium-sized enterprises. In this study, we propose a location suitability evaluation system for public rental logistics spaces. The location selection and evaluation system of the public rental logistics space proposed in this study is composed of large (5), medium (10), and small (20) indicators. The 1^st class were five factors: market factors, economic factors, transportation factors, site factors, policy and social factors, and the 2^nd classifications per the 1^st class, and the 3^rd class for each 2^nd class. After deriving the relative importance of each indicator through AHP for experts, it was verified by utilizing GIS analysis for virtual candidates in the metropolitan area. As a result of the trial application, it was evaluated that it could be applied with realistic results. In addition, it was confirmed that it is possible to apply evaluation indicators using spatial data constructed in Korea, and to use the evaluation indicators, it is necessary to perform various spatial analysis and processing tasks on raw data.

• The Journal of Fisheries Business Administration
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• v.52 no.1
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• pp.83-99
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• 2021

Fisheries policies are diversifying, including welfare programs for fishermen, revitalization of earfish and villages, and support for the sixth industrialization of fishing villages. In response to these policy changes, the purpose of this study is to categorize the fishing village fraternity, which is a local community, a fishery production organization, and a basic unit of a fishing village, and compares the characteristics of each type A number of indicators were selected by collecting data on the Categorization and evaluation of fishing villages fraternity and the statistical geographic information service. A number of indicators were extracted as representative factor variables using the principal component analysis, and then cluster analysis was performed to categorize the fishing village fraternity. This study was the first to attempt a comprehensive approach to revitalize the fishing village economy by using not only demographic and social characteristics, industrial and economic characteristics, but also regional characteristics. The characteristics of each type of fishing village fraternity find its significance in that it provides basic information that can be used in policy decisions. In order to strengthen the sustainability of the fishing community in the future and contribute to the sustainable development at the national level, the development of sustainable fishing village fraternity development indicators and follow-up studies on fishing village regeneration strategies will be needed.

• The Journal of Bigdata
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• v.5 no.2
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• pp.97-110
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• 2020

The global pandemics occurred in 2020 had a great economic impact on the world, and the impact was especially greater on self-employed people who were heavily affected by the floating population and tourism industry. To solve this problem, each country implemented emergency disaster support policies, and it was difficult to select the criteria and scope. The following research carried out two results. First, after analyzing the impact of global pandemics on the local economy, an economical index was defined that could explain the impact intuitively. Second, we propose linear programming methods to provide optimal budget policy using defined indicators, which present economic shock indicators and optimal years that can be considered quickly and easily by the government. Finally, the limitations and implications of the proposed study model are introduced.

• Journal of Korean Society of Water and Wastewater
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• v.35 no.6
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• pp.517-531
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• 2021

The water supply facilities of Korea have achieved a rapid growth, along with the other social infrastructures consisting a city, due to the phenomenon of urbanization according to economic development. Meanwhile, the level of water supply service demanded by consumer is also steadily getting higher in keeping with economic growth. However, as an adverse effect of rapid growth, the quantity of aged water supply pipes are increasing rapidly, Bursts caused by pipe aging brought about an enormous economic loss of about 6,161 billion won as of 2019. These problems are not only worsening water supply management, also increasing the regional gap in water supply services. The purpose of this study is to classify hazard evaluation indicators and to rank the water distribution network hazard by cluster using the TOPSIS method. In conclusion, in this study, the entropy-based multi-criteria decision-making methods was applied to rank the hazard management of the water distribution network, and the hazard management ranking for each cluster according to the water supply conditions of the county-level municipalities was determined according to the evaluation indicators of water outage, water leakage, and pipe aging. As such, the hazard ranking method proposed in this study can consider various factors that can impede the tap water supply service in the water distribution network from a macroscopic point of view, and it can be reflected in evaluating the degree of hazard management of the water distribution network from a preventive point of view. Also, it can be utilized in the implementation of the maintenance plan and water distribution network management project considering the equity of water supply service and the stability of service supply.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.109-114
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• 2020

The aim of this study is to develop basic artificial neural network models in forecasting the in-sample gross domestic product (GDP) of Malaysia. GDP is one of the main indicators in presenting the macro economic condition of a country as set by the world authority bodies such as the World Bank. Hence, this study uses an artificial neural network-based approach to make predictions concerning the economic growth of Malaysia. This method has been proposed due to its ability to overcome multicollinearity among variables, as well as the ability to cope with non-linear problems in Malaysia's growth data. The selected inputs and outputs are based on the previous literatures as well as the economic growth theory. Therefore, the selected inputs are exports, imports, private consumption, government expenditure, consumer price index (CPI), inflation rate, foreign direct investment (FDI) and money supply, which includes M1 and M2. Whilst, the output is real gross domestic product growth rate. The results of this study showed that the neural network method gives the smallest value of mean error which is 0.81 percent with a total difference of 0.70 percent. This implies that the neural network model is appropriate and is a relevant method in forecasting the economic growth of Malaysia.

• Journal of Distribution Science
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• v.15 no.8
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• pp.5-14
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• 2017

Purpose - This study empirically analyses the sale changes in large retail stores directly resulting from increased controls on those stores. More specifically, we discuss the economic impacts on Korean regulations that restrict trading hours and mandate statutory store closure 'holidays' twice per month. Research design, data and methodology - we attempt to empirically analyse the economic effects of trading hours regulations through quantitative analysis of the sales revenue data of large retail stores. We introduce the data and methods of empirical analysis used to analyse the economic effects of trading-hour regulations on large retail stores. We use a panel regression to analyse the sales losses of large retail stores caused by the new constraints on business hours. Results - The results of this study show that the sales of large retail stores fell by the average of 3.4% per month during the regulation periods. However, regulations affecting large retail stores have various economic impacts, including variations in sales, changes in consumption patterns, and influences on consumer welfare and national economy. Conclusions - Such changes may also be captured by other metrics: accordingly, further researches are needed to measure the impact of regulations on economic indicators such as employment and GDP.

• Journal of Environmental Science International
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• v.27 no.9
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• pp.803-807
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• 2018

This study evaluated the duck growth performance and the economic benefits on using illite as a feed additive for ducks. Illite powder at three levels (0%, 1%, and 1.5%) was added to commercial duck diets, and fed to 180 one-day-old ducks (Pekin, 3 replicates, 20 ducks per pen) using a randomized block design for 39 days. During the experimental period, there were no significant growth performance differences between treatments (p>0.05), except with the feed conversion ratio (p<0.05), for all periods (8-39 days). In addition, the dietary supplementation of 1% and 1.5% illite did not significantly improve (p>0.05) Feed Intake Cost (FIC), Weight Gain Value (WGV), Meat Production Cost (MPC), Economic Efficiency (EE), Profitability (P), or cost benefit ratio for 8 to 21 d, 22 to 39 d, and 8 to 39 d. However, the differences in meat production cost and profitability between treatments were statistically significant (p<0.05) for all periods (8-39 d). In conclusion, adding 1% and 1.5% illite to duck diets is not beneficial for improving either the duck growth performance or the economic indicators.

• Proceedings of the KIEE Conference
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• 1999.07c
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• pp.1468-1471
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• 1999

This paper presents a method of the regional long-term distribution planning considering economic indicator with the assumption that energy demands proportionally increases with the economic indicators. For the practical distribution planning, it is necessary to regional load forecasting, distribution substation planning, distribution feeder planning. Accordingly, in this paper, after performing regional load forecasting considering economic indicator, it is performed distribution substation planning and distribution feeder planning in order by using this result. For accurate distribution planning, it is very important to scrutinize the correlation among the regional electric power demands, economic indicator and other characteristics because distribution planning results may vary depending on many different factors such as electric power demands, gross products, social trend and so on. In this paper, various steps microscopically and macro scopically are used for the regional long-term distribution planning in order to increase the accuracy and practical use of the results

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.73-85
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• 2020

As an effort to achieve sustainable development and increase people's welfare, financial inclusion has become the policy agenda of many countries. Therefore, the effect of financial inclusion on economic growth, poverty, income inequality, and financial stability in several countries in Asia has become the goal and this is the subject of this study. Financial inclusion is measured by 3 dimensions, namely banking penetration, access to banking services, and use of banking services. Poverty ratio below the national poverty line and the Gini coefficient are used as indicators of poverty and income inequality. Financial stability is measured by Bank Z-Score and bank nonperforming loans. The results from the hypothesis test shows that all dimensions of financial stability simultaneously have significant influence on economic growth, poverty, income inequality, and financial stability. On the other hand, the partial impact of financial inclusion dimension on economic growth, poverty alleviation, income inequality, and financial stability in ten countries of Asia has not been optimal. The derived results of this study is required to be interpreted and considered by the Governments of each country in developing strategies for increasing financial inclusion, so that the policy to achieve sustainable development and enhancement of people's welfare can be achieved.