멀티해비 라이프스타일 실천자의 전원생활 정착과정에 관한 연구 (The Rural-Life Settlement Process of the People with the Multi-Habitation Lifestyles)
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- 한국주거학회논문집
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- 제24권4호
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- pp.39-52
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- 2013
This study examined the key factors that significantly improved the demand of multi-habitation. It determined the factors at the macroscopic level (or push factors) and the microscopic level (or pull factors). Focusing on a microscopic viewpoint, this study looked at the process of settlement through investigating 78 MH residents in the Seoul metropolitan area. The survey included the questions, such as who they are, how they prepared for moving, and how much they enjoyed their rural lives. In addition, any differences in this process were analyzed depending on respondents' characteristics. Major findings are as follows: First, general macro-level circumstances seemed supportive for the MH lifestyles. Second, six keywords were determined to represent the recent MH trends. They are "semi-sedentism, clustering, young people, female, money, and policy". Third, the distances between the original towns for native residents and new second-home towns for MH residents affected the interactions among them. However, these two groups had better relationships when the second-home towns were apart from the original towns. I then considered the need of a buffer zone between the two residential areas for MH residents. The conceptual difference between MH residents (i.e., semi-sedentism) and original rural residents (i.e., sedentism) might require certain types of buffer zones to continue good relationships among them.
The reasons for cost inflation in medical insurance expenditure are classified into demand pull inflation and cost push inflation. The former includes increase in the number of beneficiaries and utilization rate, while the latter includes increase in medical insurance fee and the charges per case. This study was conducted to analyze sources of increases of expenditure in medical insurance demonstration area by the period of 1982-1987 which was earlier than national health insurance and the period of national health insurance(1988-1990). The major findings were as follows: Medical expenditure in these areas increased by 9.4%(15.1%) annually between 1982 and 1990 on the basis of costant price(current price) and for this period, the yearly average increasing rate of expenses for outpatient care[10.5%(15.8%)] was higher than that of inpatient care [7.3%(12.6%)]. Medical expenditure increased by 6.3%(8.9%) annually between 1982 and 1987, the period of medical insurance demonstration, while it increased by 10.7%(18.9%) after implementing national health insurance(1988-1990). Medical expenditure increased by 35.9%(45.9%) between 1982 and 1987. Of this increase, 115.2%(92.1%) was attributable to the increase in the frequencies of utilization per beneficiary and 61.0%(68.1%) was due to the increase in the charges per case, but the expenditure decreased by 76.2%(60.2%) due to the reduction in the number of beneficiaries. Beteen 1988 and 1990, the period of national health insurance, medical expenditure increased by 21.2%(41.4%). Of this increase, 87.5%(46.4%) was attributable to the increase in the frequencies of utilization per beneficiary and 52.4%(73.4%) was due to the increase in the charges per case, and of the increase in the charges per case, 69.6%(40.8%) was attributable to the increase in the days of visit per case. Medical expenses per person in these areas increased by 78.2%(89.0%) between 1982 and 1987. Of this increase, 76.6%(69.1%) was attributable to the increase in the frequencies of utilization per beneficiary and 23.4%(30.9%) was due to the increase in the charges per case. For this period, demand-pull factor was the major cause of the increase in medical expenses and the expenses per treatment day was the major attributable factor in cost-push inflation. Betwee 1988 and 1990, medical expenditure per person increased by 31.2%(53.1%). Of this increase, 60.8%(37.2%) was attributable to the demand-pull factor and 39.2%(62.8%) was due to the increase in the charges per case which was one of cost-push factors. In current price, the attributalbe rate of the charges per case which was one of cost-push factors was higher than that of utilization rate in the period of national health insurance as compared to the period of medical insurance demonstration. In consideration of above findings, demand-pull factor led the increase in medical expenditure between 1982 and 1987, the period of medical insurance medel trial, but after implementing national health insurance, the attributable rate of cost-push factor was increasing gradually. Thus we may conclude that for medical cost containment, it is requested to examine the new reimbursement method to control cost-push factor and service-intensity factor.
The purpose of this study is to computerize the design of single source for a duct work system which is essential for the improvement of working places. There are different types of hood, such as general hood, push pull hood and canopy hood. And out of these three types, general hood and canopy hood were used as subjects of this study. The software used here was Quattro Pro 123 programm, and the hardware was IBM PS/SX(type 5510-SK4 S/N 83-05164). And the results are tabulated in