• Korea Real Estate Review
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• v.27 no.4
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• pp.35-50
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• 2017

The Korean society is currently at the level of discussing the living environment and the housing welfare as factors for improving the quality of life, in addition to most individuals or households residing in a living environment and housing welfare, according to industrialization and urbanization. However, even though the overall housing welfare of Korea has improved, the number of households with disabilities belonging to the social special class is not as high as that of the non-disabled households. It is a reality that cannot be done. Therefore, this study aims to identify the present condition and demand characteristics of the housing for disabled people whose social importance is currently emphasized among the social special people who can be called the social special class, as well as present the housing welfare policy to them and explain the purpose of the improvement plan. In this study, 4,277 out of 8,004 households with disabilities surveyed by the Ministry of Land, Infrastructure, and Transport in 2015 were analyzed. The result of the analysis showed that the economic characteristics (permanent income indicating the income and the user cost indicating the expenditure) of the housing demand of a household with a handicapped individual are important. This analysis will provide more effective policy formulation and policy direction for the families of the disabled.

• Journal of the Korea Convergence Society
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• v.8 no.1
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• pp.19-23
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• 2017

Energy is a vital resource for the economic growth and the social development for any country. As the industry becomes more sophisticated and the economy more grows, the electricity demand is increasing. So forecasting electricity demand is an important for electricity suppliers. Forecasting electricity demand makes it possible to distribute electricity demand. As the market for Negawatt market began to grow in Korea from 2014, the prediction of electricity consumption demand becomes more important. Moreover, power consumption forecasting provides a way for demand management to be directly or indirectly participated by consumers in the electricity market. We use Genetic Algorithms to predict the energy demand of the fishing industry in Jeju Island by using GDP, per capita gross national income, value add, and domestic electricity consumption from 1999 to 2011. Genetic Algorithm is useful for finding optimal solutions in various fields. In this paper, genetic algorithm finds optimal parameters. The objective is to find the optimal value of the coefficients used to predict the electricity demand and to minimize the error rate between the predicted value and the actual power consumption values.

• Korean Journal of Social Welfare
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• v.49
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• pp.34-61
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• 2002

Recently, the concept of empowerment has become popular within social work practice. Despite of this trends, we have little empirical knowledge about what empowerment practice is and how it is applicable to practice settings in Korea. This study explored how social workers perceived and experienced the concept of empowerment. We used qualitative method to solve this questions. Individual and focus group interviews were conducted to 7 social workers serving in diverse settings. Research results are as follows: Participants had common perceptions of empowerment concept despite of the different settings. They perceived power as confidence, independence, self-control. The client/worker relationships were open, nonhierarchial egalitarian and characterized by mutuality and reciprocity. They emphasized the nature of empowerment as circular and diffusive process. Also, they orientated long term practice related to impatience of social workers. Finally, those who participated in this study challenged and reinterpreted the existing traditional "professionalism". We concluded that empowerment practice might demand infinite energies, social worker's creativity, trust of clients, and that empowerment practice would be a new approach in social work practice which influence on much more population because of its diffuseness.

• Journal of the Korea Convergence Society
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• v.10 no.11
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• pp.125-130
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• 2019

The utilization and value of drones are increasing throughout society. However, there was a lack of government support and investment such as lack of technology of domestic drone companies, regulation of loans and lack of technology evaluation items. Therefore, this paper conducts statistical analysis to derive what drone capacity should be strengthened for the drone industry activation in Daegu. As a result, the demand satisfaction(price, quality, service) of drones leads to revitalization of drone industry when the physical, social, and policy factors among drones are strengthened. In conclusion, drone capacity to be strengthened in order to revitalize the drone industry in Korea is based on physical factors(drone demand, development, number of registrations, number of businesses and workers), social factors(national level public relations, establishment of public education institutes, correct understanding of drone occupation, preception), policy factors(privacy measures, government funding, legislation and system easing). As for the three factors, the government, industry, and drone operators are expected to have a bright future when the trinity is improved and complemented.

• Journal of Korea Port Economic Association
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• v.39 no.2
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• pp.195-204
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• 2023

In this study, the causes of the boom in the container shipping industry pointed out by the media were analyzed. As a result of the analysis, it was found that on the supply side, shipping companies mooring ships in response to IMO environmental regulations caused a rise in freight rates due to 'ships that could not be operated' even if demand increased. In terms of demand, it was determined that the claim that social distancing promoted purchases and increased demand was somewhat unfounded. The reason is that the relationship between social distancing and rising fares is weak.

• The Journal of the Korean dental association
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• v.21 no.12 s.175
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• pp.997-1003
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• 1983

The author studied the quality and change of the effective demand for dental treatment of the cutpatients of the Wonkwang dental clinic from the March of 1982 to the August of 1983. The results were compared with the previous reports to find any changes that might come from the effect of dental insurance system. After discussing the results, the author concluded as follows: 1. The twenties were the most in the age groups, but it is desirable that age groups of mixed dentition be the most to enhance the dental health status of community. 2. The effective demand for dental treatment increased especially in the areas such as intraoral radiograph taking, amalgam filling, temporary filling, endodontic treatments, and drug application on the soft tissue, but decreased in the areas such as prosthodontic treatments, and there were no demand for the orthodontic treatment. 3. As compared with the absolute needs, the effective demand was relatively high for teeth extraction and amalgam filling, but it was generally very low. 4. So, the present extent of dental insurance system should be expanded, and the dental care delivery system should be established within the community. Finally, the economic and social status of Iri community should be enhance by political and educational plannings.

• Environmental Engineering Research
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• v.15 no.3
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• pp.135-140
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• 2010

With the various urban characteristics of each city, the existing water demand prediction, which uses average liter per capita day, cannot be used to achieve an accurate prediction as it fails to consider several variables. Thus, this study considered social and industrial factors of 164 local cities, in addition to population and other directly influential factors, and used main substance and cluster analyses to develop a more efficient water demand prediction model that considers unique localities of each city. After clustering, a multiple regression model was developed that proved that the $R^2$ value of the inclusive multiple regression model was 0.59; whereas, those of Clusters A and B were 0.62 and 0.74, respectively. Thus, the multiple regression model was considered more reasonable and valid than the inclusive multiple regression model. In summary, the water demand prediction model using principal component and cluster analyses as the standards to classify localities has a better modification coefficient than that of the inclusive multiple regression model, which does not consider localities.

• Journal of the Korean Operations Research and Management Science Society
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• v.42 no.1
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• pp.29-41
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• 2017

Korea is expected to become a super-aged society by 2050. Given an aging population and the increasing pressure for the early retirement, a sufficient social safety net for elderly population becomes important. The Korean government introduced public reverse mortgage program in 2007, which is a product for aging seniors and the elderly, The number of reverse mortgage subscribers has also steadily grown. The demand continues to grow, but the reverse mortgage over a long period of time is a highly uncertain and risky product in the position of guarantee or lending institution. Thus, suitable demand prediction of the reverse mortgage subscribers is necessary for stable and sustainable operation. This study uses a Bass diffusion model to forecast the long-term demand for reverse mortgage and provides insight into reverse mortgage by forecasting demand for stability and substantiality of the loan product. We represent the projections of new subscribers on the basis of the data obtained from Korea Housing Finance Corporation. Results show that potential market size of Korean reverse mortgage reaches approximately 760,000-1,160,000 households by 2020. We validate the results by comparing the estimate of the cumulative number of subscribers with that found in literature.

• Journal of the Korean Home Economics Association
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• v.48 no.8
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• pp.13-26
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• 2010

This study tested the path model with regard to how certain variables (control attribution, demand-control-support of activity, and control strategy) affected the elderly workers' subjective well-being(swb). In the path model, the exogenous variables were internal and external control attribution. We used demand-control-support of activity, and primary and secondary control strategies as mediating variables. The endogenous variable was each elderly worker's swb. Study participants were 205 elders participating in an "education activity". We used descriptive statistical analysis, Pearson's correlation and hierarchical multiple regression to examine data collected from structured interviews with the participants. Path analysis revealed the followings: First, secondary control strategy was the strongest predictor of participants' swb but internal control attribution, demand of activity, and support of activity also positively affected participants' swb. Second, internal control attribution indirectly affected the participants' swb. Finally primary control strategy negatively affected on the participants' swb.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.41 no.9
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• pp.994-1002
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• 1992

With regard to price elasticity and cross elasticity of electricity, optimal generation expansion planning method including load management effect is suggested. In addition, optimal peak time price can be determined simultaneously, and we adopt peak time tariff as load management strategy. Instead of using hourly marginal demand curves where we can get customer surplus, we used chronological load curve with constraints to preserve social welfare. This method is proved useful in short-term generation expansion planning.