• 제목/요약/키워드: Long term trend

검색결과 782건 처리시간 0.033초

한국·일본·독일의 공적 장기요양보험제도 재정부담 완화 과정 비교 (A Study on the Mitigation Methods of Financial Burden in Public Long-term Care Insurance System: Comparison of South Korea, Japan, and Germany)

  • 윤나영;이동현
    • 보건행정학회지
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    • 제32권3호
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    • pp.258-271
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    • 2022
  • The rapidly aging trend of Korea is a major factor that threatens the sustainability of the long-term care insurance system. Therefore, looking at how Japan and Germany mitigated the financial burden when they managed similar long-term care insurance systems will provide important implications for improving the Korean system in the future. The study was conducted using the literature review method, and the "country" was set as a unit for the case analysis. The three countries selected are Korea, Japan, and Germany. Recently in Korea, the insurance premium rates of all subjects have been rapidly rising, which can exacerbate the issue of intergenerational equity. On the other hand, Japan has responded to the aggravating finances for long-term care insurance due to aging by raising coinsurance for selected groups like the wealthy elderly. Germany is selectively raising the insurance premium rates by additionally increasing the premium rate for childless recipients. A more preventive and quality-oriented care service plan can be promoted by referring to the recent changes in Japan and Germany. In addition, a more effective and selective increase in payment burden in Japan and Germany could be considered in response to a recent equity issue in Korea.

Sharing Economy: Effect of Shared Kitchen Service Quality on Experiential Value, Relational Commitment and Long-Term Orientation

  • LEE, Sung-Hoon;HAN, Young-Wee
    • 유통과학연구
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    • 제20권10호
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    • pp.79-91
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    • 2022
  • Purpose: As the shared kitchen sector evolves into a new trend in the restaurant industry, not only operational support but also the physical environment for services is ranked as an important success factors. Therefore, the purpose of this thesis is to study the effect of shared kitchen service quality on experiential value, relational commitment, and long-term orientation. Research design, data, and methodology: In this study, a questionnaire was used to verify the structural relationship between shared kitchen service quality, experiential value, relational commitment, and long-term orientation for tenant companies in shared kitchen companies. The data were analyzed by using Partial Least Square-Structural Equation Modeling (PLS-SEM). Result: Facilities and support for the service quality of the shared kitchen had a positive (+) effect on the experiential value, and the environment did not. In addition, experiential value showed a significant positive (+) effect on relationship commitment and long-term orientation, and relationship commitment showed a significant positive (+) effect on long-term orientation. Conclusions: It was confirmed that the support quality among service quality affects the relationship formation. Thus, attention should be paid to activities to support stable business activities from the perspective of B2B services.

Climatological Trend of Sea Water Temperature around the Antarctic Peninsula Waters in the Southern Ocean

  • Lee, Chung-Il;Kim, Sang-Woo;Kim, Dong-Sun;Yoon, Moon-Geun
    • 한국환경과학회지
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    • 제21권2호
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    • pp.125-133
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    • 2012
  • Climatological trend for the period of 1970 to 2009 in sea water temperature around the Antarctic Peninsular waters in the Southern Ocean was investigated. During the period from 1970 to 2009, sea water temperature in the top 500 m water column except 100 m increased at a rate of $0.003-0.011^{\circ}C{\cdot}yr^{-1}$, but at 100 m it decreased at a rate of $-0.003^{\circ}C{\cdot}yr^{-1}$. Although long-term trend is generally warming, there were several periods of sharp changes between 1970 and 2009. Annual mean sea water temperature between surface and 500 m except 100 m decreased from the early of 1970s to the end of 1980s, and then it increased to the end of 2000s. In the entire water column between the surface and 500 m, sea water temperature closely correlated with the El Nino events expressed as the Southern Oscillation Index(SOI), and SOI and sea water temperature have a dominant period of about 3-5 years and decade.

NTrend 1.0에 의한 낙동강 수질 장기변동 추세분석 (Long-Term Water Quality Trend Analysis with NTrend 1.0 Program in Nakdong River)

  • 유재정;신석호;윤영삼;송재기
    • 한국물환경학회지
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    • 제26권6호
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    • pp.895-902
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    • 2010
  • The effect of seasonality on water quality variation is very significant. Generally, it reduce the power of the trend extraction. A parametric time-series model was used for detecting trends in historic constituent concentration data. The effect of seasonality is able to remove from time series decomposition technique. According to such statistic methode, long-term water quality trend analysis system (NTrend 1.0) was developed by Nakdong River Water Environmental Research Center. The trend analysis of BOD variation was conducted with NTrend 1.0 at Goreong and Moolkum site in Nakdong river to show the effect of water quality management action plan. Power test of trend extraction was tried each case of 'deseasonalized and deannulized' data and 'deseasonalized' data. Analysis period was from 1989 to 2006, and it's period was divided again three times, 1989~1993, 1994~1999 and 2000~2006 according to action plan period. The BOD trend was downward in Goreong site during three times and it's trend slope was very steep, and upward in Moolkum during 1989~1993, but it was turned downward during 1994~1999 and 2000~2006. It was revealed that it's very effective to reduce the concentration of BOD by water quality management action plan in that watershed. The result of power test was shown that it is high for trend extraction power in case of 'deseasonalized' data.

비모수 경향분석법 적용을 통한 금강수계 총량관리 단위유역의 수질변화 연구 (A Study on the Water Quality Changes of TMDL Unit Watershed in Guem River Basin Using a Nonparametric Trend Analysis)

  • 김은정;김용석;류덕희;류지철;박배경
    • 한국물환경학회지
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    • 제30권2호
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    • pp.148-158
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    • 2014
  • In order to assess the effect of TMDLs management and improve that in the future, it is necessary to analyze long-term changes in water quality during management period. Therefore, long term trend analysis of BOD was performed on thirty monitoring stations in Geum River TMDL unit watersheds. Nonparametric trend analysis method was used for analysis as the water quality data are generally not in normal distribution. The monthly median values of BOD during 2004~2010 were analyzed by Seasonal Mann-Kendall test and LOWESS(LOcally WEighted Scatter plot Smoother). And the effect of Total Maximum Daily Loads(TMDLs) management on water quality changes at each unit watershed was analyzed with the result of trend analysis. The Seasonal Mann-Kendall test results showed that BOD concentrations had the downward trend at 10 unit watersheds, upward trend at 4 unit watersheds and no significant trend at 16 unit watersheds. And the LOWESS analysis showed that BOD concentration began to decrease after mid-2009 at almost all of unit watersheds having no trend in implementation plan watershed. It was estimated that TMDLs improved water quality in Geum River water system and the improvement of water quality was made mainly in implementation plan unit watershed and tributaries.

PREDICTION OF FAULT TREND IN A LNG PLANT USING WAVELET TRANSFORM AND ARIMA MODEL

  • Yeonjong Ju;Changyoon Kim;Hyoungkwan Kim
    • 국제학술발표논문집
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    • The 3th International Conference on Construction Engineering and Project Management
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    • pp.388-392
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    • 2009
  • Operation of LNG (Liquefied Natural Gas) plants requires an effective maintenance strategy. To this end, the long-term and short-term trend of faults, such as mechanical and electrical troubles, should be identified so as to take proactive approach for ensuring the smooth and productive operation. However, it is not an easy task to predict the fault trend in LNG plants. Many variables and unexpected conditions make it quite difficult for the facility manager to be well prepared for future faulty conditions. This paper presents a model to predict the fault trend in a LNG plant. ARIMA (Auto-Regressive Integrated Moving Average) model is combined with Wavelet Transform to enhance the prediction capability of the proposed model. Test results show the potential of the proposed model for the preventive maintenance strategy.

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Long-term Sediment Discharge Analysis in Yongdam Dam Watershed due to Climate Change

  • Felix, Micah Lourdes;Kim, Joocheol;Choi, Mikyoung;Jung, Kwansue
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2020년도 학술발표회
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    • pp.327-327
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    • 2020
  • Increase in Earth's surface temperature, higher rainfall intensity rate, and rapid changes in land cover are just some of the most evident effects of climate change. Flooding, and river sedimentation are two inevitable natural processes in our environment, and both issues poses great risks in the dam industry when not addressed properly. River sedimentation is a significant issue that causes reservoir deposition, and thus causes the dam to gradually lose its ability to store water. In this study, the long-term effects of climate change on the sediment discharge in Yongdam Dam watershed is analyzed through the utilization of SWAT, a semi-distributed watershed model. Based from the results of this study, an abrupt increase on the annual sediment inflow trend in Yongdam Dam watershed was observed; which may suggests that due to the effects of climate change, higher rainfall intensity, land use and land cover changes, the sedimentation rate also increased. An efficient sedimentation management should consider the increasing trend in sedimentation rate due to the effects of climate change.

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서울과 부산지역 기상의 영향을 제거한 오존농도 추세 (Meteorologically Adjusted Ozone Trends in the Seoul and Susan Metropolitan Areas)

  • 김유근;오인보;황미경
    • 한국대기환경학회지
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    • 제19권5호
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    • pp.561-568
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    • 2003
  • Surface ozone concentrations are highly sensitive to meteorological variability. Therefore, in order to reveal the long-term changes in ozone due to the changes in precursor emissions, we need to remove the effects of meteorological fluctuations on the annual distribution of surface ozone. In this paper, the meteorologically adjusted trends of daily maximum surface ozone concentrations in two major Korean cities (Seoul and Busan) are investigated based on ozone data from 11 (Seoul) and 6 (Busan) sites over the period 1992 ∼ 2000. The original time series consisting of the logarithm of daily maximum ozone concentrations are splitted into long-term, seasonal and short-term component using Kolmogorov-Zurbenko (KZ) filter. Meteorological effects are removed from filtered ozone series using multiple linear regression based on meteorologcial variables. The long-term evolution of ozone forming capability due to changes in precursor emission can be obtained applying the KZ filter to the residuals of the regression. The results indicated that meteorologically adjusted long-term daily maximum ozone concentrations had a significant upward trend (Seoul: + 3.02% yr$^{-1}$ , Busan: + 3.45% yr$^{-1}$ ). These changes of meteorologically adjusted ozone concentrations represent the effects of changing background ozone concentrations as well as the more localized changes in emissions.

텍스트 마이닝과 빅카인즈를 활용한 노인장기요양기관 부당청구 동향 분석 (Trend Analysis of Fraudulent Claims by Long Term Care Institutions for the Elderly using Text Mining and BIGKinds)

  • 윤기혁
    • 사물인터넷융복합논문지
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    • 제8권2호
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    • pp.13-24
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    • 2022
  • 본 연구는 우리나라에서 매년 증가하고 있는 노인장기요양기관의 부당청구 맥락과 부당청구 예방을 위한 대책들이 어떠한지를 탐색하기 위해서 언론기사를 활용한 텍스트 마이닝 분석을 실시하였다. 기사는 뉴스 빅테이터 분석 시스템인 빅카인즈에서 수집하였고, 수집기간은 노인장기요양보험이 시행된 2008년 7월부터 2022년 2월 28일까지로 약 15년간이다. 이 기간 동안 '노인요양+부당청구', '장기요양+부당청구', 등의 키워드로 총 2,627개의 기사가 수집되었고, 이중 중복된 기사를 제외한 총 946개가 선정되었다. 본 연구의 텍스트마이닝 분석결과로 첫째, 모든 구간(2008.7.1-2022.2.28)에서 가장 높은 빈도로 언급된 상위 10위 키워드는 노인장기요양기관, 부당청구, 국민건강보험공단, 노인장기요양보험, 장기요양급여(비용), 노인요양시설, 보건복지부, 노인, 신고, 포상금(지급)의 순으로 나타났다. 둘째, N-gram 분석결과 장기요양급여(비용)과 부당청구, 부당청구와 노인장기요양기관, 허위와 부당청구, 신고와 포상금(지급), 노인장기요양기관과 신고 등의 순으로 나타났다. 셋째, TF-IDF 분석은 빈도분석의 결과와 유사하게 나타났지만, 신고, 포상금(지급), 증가 등은 순위가 상승하였다. 상기 분석결과를 바탕으로 노인장기요양기관 부당청구 예방을 위한 방향성을 제시하였다.

주택유통산업에서의 주택가격과 기대주택가격간의 관계분석 (Relationship Between Housing Prices and Expected Housing Prices in the Real Estate Industry)

  • 최차순
    • 유통과학연구
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    • 제13권11호
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    • pp.39-46
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    • 2015
  • Purpose - In Korea, there has been a recent trend that shows housing prices have risen rapidly following the International Monetary Fund crisis. The rapid rise in housing prices is spreading recognition of this as a factor in housing price volatility. In addition, this raises the expectations of housing prices in the future. These expectations are based on the assumption that a relationship exists between the current housing prices and expected housing prices in the real estate industry. By performing an empirical analysis on the validity of the claim that an increase in current housing prices can be correlated with expected housing prices, this study examines whether a long-term equilibrium relationship exists between expected housing prices and existing housing prices. If such a relationship exists, the recovery of equilibrium from disequilibrium is analyzed to derive related implications. Research design, data, and methodology - The relationship between current housing prices and expected housing prices was analyzed empirically using the Vector Error Correction Model. This model was applied to the co-integration test, the long-term equilibrium equation among variables, and the causality test. The housing prices used in the analysis were based on the National Housing Price Trend Survey released by Kookmin Bank. Additionally, the Index of Industrial Product and the Consumer Price Index were also used and were obtained from the Bank of Korea ECOS. The monthly data analyzed were from January 1987 to May 2015. Results - First, a long-term equilibrium relationship was established as one co-integration between current housing price distribution and expected housing prices. Second, the sign of the long-term equilibrium relationship variable was consistent with the theoretical sign, with the elasticity of housing price distribution to expected housing price, the industrial production, and the consumer price volatility revealed as 1.600, 0.104,and 0.092, respectively. This implies that the long-term effect of expected housing price volatility on housing price distribution is more significant than that of the industrial production and consumer price volatility. Third, the sign of the coefficient of the error correction term coincided with the theoretical sign. The absolute value of the coefficient of the correction term in the industrial production equation was 0.006, significantly larger than the coefficients for the expected housing price and the consumer price equation. In case of divergence from the long-term equilibrium relationship, the state of equilibrium will be restored through changes in the interest rate. Fourth, housing-price volatility was found to be causal to expected housing price, and was shown to be bi-directionally causal to industrial production. Conclusions - Based on the finding of this study, it is required to relieve the association between current housing price distribution and expected housing price by using property taxes and the loan-to-value policy to stabilize the housing market. Further, the relationship between housing price distribution and expected housing price can be examined and tested using a sophisticated methodology and policy variables.