• 제목/요약/키워드: indicator variables

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각 국별 수출물량지수의 비교 분석 : 한국, 캐나다, 브라질, 영국, 호주를 중심으로 (Comparative Analysis of Export Volume Index by Country : Focusing on Korea, Canada, Brazil, UK, Australia)

  • 김신중;최정일
    • 한국콘텐츠학회논문지
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    • 제19권11호
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    • pp.549-557
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    • 2019
  • 본 연구의 목적은 각 대륙을 대표하는 한국, 캐나다, 브라질, 영국, 호주의 수출물량지수를 활용하여 한국과의 동행성과 변동성을 파악하는데 있다. 분석기간은 1990년부터 2017년까지 총 28년간 연간자료를 사용하여 지표분석과 수치분석, 모형분석 등을 수행하였다. 상관분석에서 한국은 캐나다, 영국, 브라질 순으로 높은 상관 관계를 보였으나 호주와는 거의 무관한 관계로 나타났다. 회귀분석의 Coefficient에서 브라질, 캐나다, 영국은 종속변수 한국과 양(+)의 방향으로 움직이고 있으나 호주와는 거의 영향을 받지 못하는 것으로 나타났다. 향후 한국의 수출물량을 증가시키기 위해서는 새로운 시장으로 부각되고 있는 호주, 브라질, 인도, 베트남, 싱가포르 등에 대한 지속적인 관심이 필요해 보인다. 본 연구에서는 캐나다, 영국, 브라질, 호주를 연구대상 국가로 선정하였지만 향후 더 다양한 국가를 선정하여 분석한다면 객관적이고 신뢰성 높은 자료가 산출될 것으로 기대한다.

한국 기후변화정책의 효과분석 (An Effectiveness Analysis of Climate Change Policy in South Korea)

  • 정대연
    • 환경영향평가
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    • 제20권5호
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    • pp.585-600
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    • 2011
  • South Korean central government has launched the first comprehensive climate change policies in 1999, and they have been renewed every three year. The third policies ended in 2007. However, it is quite rare to analyze whether the climate change policies are effective against climate change. In this context, this paper aims at analyzing the effectiveness of climate change policy which was launched for seven years from 1999 to 2007 in South Korea. The effectiveness analysis of policy can be done in terms of the individual policy and/or all policies being synthesized as a comprehensive unit. Employing the latter methodology, this paper analyzed the effectiveness on the basis of economic growth as independent variable, greenhouse gas emission as dependent variable, and energy use and its process as intervening variable. Seven analytic indicators covering the three variables were selected on the basis of two points in time before and after climate change policy having been launched. The seven indicators were analyzed in terms of three aspects. They were the change in the state of each indicator, the effectiveness of climate change policy from 1999 to 2007, and the effectiveness process from 1999 to 2007. The effectiveness process was analyzed in terms of the relational context and its flow processing path. Economic growth was advanced remarkably with increase in the total consumption of energy. As a result, greenhouse gas emission increased. However, energy efficiency increased with significant decrease in energy intensity, carbon intensity, and energy elasticity. The expansion of new and renewable energy over total energy supply was not effective significantly on the decrease in greenhouse gas emission. The processing path of climate change policy being effective advanced toward increase in energy efficiency through energy intensity rather than toward sustainable development. Such a way of the effectiveness of climate change policy implies that most policies focused on adaptation rather than on mitigation.

Optimization of the Spreadable Modified Butter Manufacturing by Response Surface Methodology

  • Suh, Mun Hui;Lee, Keon Bong;Baick, Seung Chun
    • 한국축산식품학회지
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    • 제32권6호
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    • pp.783-788
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    • 2012
  • The aim of this study was to optimize the manufacturing condition of spreadable modified butter by RSM. Based on the central composite design, the degree of optimization was expressed as a SFC as a dependent variable (Y, %) determined by NMR with 23 experimental groups. Three independent variables were the contents of butter ($X_1$, 35-75%), the contents of grape seed oil ($X_2$, 15-35%), and the contents of hydrogenated soybean oil ($X_3$, 0-4%). As the result, SFC at $10^{\circ}C$ was ranged from 32.37 to 42.76%. In addition, the regression coefficients were calculated for SFC at $10^{\circ}C$ by RSREG. The regression model equation for the SFC was $Y=39.18-0.04X_1X_3$. Consequently, the optimal contents for manufacturing spreadable modified butter were determined as 55.18% for butter, 40.78% for grape seed oil, and 4.08% for hydrogenated soybean oil, respectively. The predicted response value for SFC at $10^{\circ}C$ was 30.20%, comparable to the actual experimental SFC value as 29.85%. Finally hardness and spreadability in reference butter and spreadable modified butter produced under the optimal conditions was measured. The hardness in spreadable modified butter was 31.80 N as compared to 69.92 N in reference butter. The spreadability in spreadable modified butter was 5.6 point as compared to reference butter. This difference may be due to the contents of solid fat by butter and hydrogenated soybean oil. This study showed that the SFC value at $10^{\circ}C$ could be a suitable indicator for the manufacturing spreadable modified butter to predict important attributes such as mouth feel, hardness and spreadability.

지역의 경제수준에 따른 의료자원 분포의 형평성 분석 (Socioeconomic Equity in Regional Distribution of Health Care Resources in Korea)

  • 전보영;최수민;김창엽
    • 보건행정학회지
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    • 제22권1호
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    • pp.85-108
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    • 2012
  • One of the ways to achieve the principle of equal access for equal needs, availability and geographical accessibility of health care resources regardless of resident sites is important. The purpose of this paper is to measure socioeconomic inequities in distribution of health care resources among regions in the Republic of Korea (hereafter Korea). Data were extracted from regional statistics of National Health Insurance, Community Health Survey, Korea Social Science Data Archive, and Korean Statistical Information Services at the same period of 2009. The dependent variables were the number of health workforce and health care facilities in each region. The proxy indicator of regional socioeconomic status was local tax per person. To identify whether inequalities among regions, we examined the concentration index(CI) and indirectly standardized CI by controlling each region's demographics and need factors. Total observations were 232 districts in nationwide, and we analyzed separately Seoul(25 districts) and non-Seoul areas(207 districts). The standardized CI values of health care resources were positive(favoring the rich region) across the nation in almost all kinds of resources. Especially the number of specialist, dentist, dental clinics, clinics, oriental medical clinics, pharmacists, and pharmacies were statistically significantly favoring the rich region. But the CI for the number of long-term care hospitals, public health centers were negative(favoring the poor region). The tendency of CI presenting positive values were increased in Seoul area. But in the case of non-Seoul, the CI indexes were nearly zero. The results suggest that except the Seoul area, little regional socioeconomic-related inequalities were observed in the distribution of health care resources in Korea.

미세먼지 예보시스템 개발 (A Development of PM10 Forecasting System)

  • 구윤서;윤희영;권희용;유숙현
    • 한국대기환경학회지
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    • 제26권6호
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    • pp.666-682
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    • 2010
  • The forecasting system for Today's and Tomorrow's PM10 was developed based on the statistical model and the forecasting was performed at 9 AM to predict Today's 24 hour average PM10 concentration and at 5 PM to predict Tomorrow's 24 hour average PM10. The Today's forecasting model was operated based on measured air quality and meteorological data while Tomorrow's model was run by monitored data as well as the meteorological data calculated from the weather forecasting model such as MM5 (Mesoscale Meteorological Model version 5). The observed air quality data at ambient air quality monitoring stations as well as measured and forecasted meteorological data were reviewed to find the relationship with target PM10 concentrations by the regression analysis. The PM concentration, wind speed, precipitation rate, mixing height and dew-point deficit temperature were major variables to determine the level of PM10 and the wind direction at 500 hpa height was also a good indicator to identify the influence of long-range transport from other countries. The neural network, regression model, and decision tree method were used as the forecasting models to predict the class of a comprehensive air quality index and the final forecasting index was determined by the most frequent index among the three model's predicted indexes. The accuracy, false alarm rate, and probability of detection in Tomorrow's model were 72.4%, 0.0%, and 42.9% while those in Today's model were 80.8%, 12.5%, and 77.8%, respectively. The statistical model had the limitation to predict the rapid changing PM10 concentration by long-range transport from the outside of Korea and in this case the chemical transport model would be an alternative method.

버섯 자실체의 현존량 추정을 위한 상대생장식 (Allometric Equations for Estimating the Standing Biomass of Basidiocarps)

  • 허은복;유영한
    • 한국균학회지
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    • 제37권1호
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    • pp.55-59
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    • 2009
  • 버섯은 생태계에서 분해자로 역할을 담당하며, 그 양은 생태계의 건전성을 나타내는 중요한 지표이다. 버섯의 생산량을 알기 위해서는 개체를 수확하여 그 무게를 측정하여야 한다. 그러나 이 방법은 버섯 개체를 수확할 때 서식지를 훼손하고, 또한 한 지역에서 버섯의 동태를 장기적으로 관찰하는데 적합하지 못하다. 따라서 본 연구에서는 자실체의 외부 형질을 측정하고 이로부터 현존량을 추정하는 비례식을 만들었다. 사용한 버섯은 표고(L. edodes), 느타리(P. ostreatus), 팽이버섯(F. velutipes)과 종버섯(C. tenera)이다. 버섯의 자실체에서 형질 변수(갓 직경, PD; 갓 면적, PA; 대 길이, SL; 대 두께, ST)를 측정하고, 이 변수로부터 건조 생물량과의 회귀관계식을 구하였다. 그 결과 버섯 4종 모두 추정한 식에서 유의한 상관성을 보임으로써(p < 0.05), 외부 형질 변수로부터 유도된 비례식을 사용하여 버섯의 현존량을 예측할 수 있음이 확인되었다.

A Fiber Optic Sensor for Determination of 2,4-Dichlorophenol Based on Oxygen Oxidation Catalyzed by Iron(III) Tetrasulfophthalocyanine

  • Tong, Yilin;Li, Dapeng;Huang, Jun;Zhang, Cong;Li, Kun;Ding, Liyun
    • Bulletin of the Korean Chemical Society
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    • 제34권11호
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    • pp.3307-3311
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    • 2013
  • A new fiber optical sensor was developed for the determination of 2,4-dichlorophenol (DCP). The sensor was based on DCP oxidation by oxygen with the catalysis of iron(III) tetrasulfophthalocyanine (Fe(III)PcTs). The optical oxygen sensing film with $Ru(bpy)_3Cl_2$ as the fluorescence indicator was used to determine the consumption of oxygen in solution. A lock-in amplifier was used for detecting the lifetime of the oxygen sensing film by measuring the phase delay change of the sensor head. The different variables affecting the sensor performance were evaluated and optimized. Under the optimal conditions (i.e. pH 6.0, $25^{\circ}C$, Fe(III)PcTs concentration of 0.62 mg/mL), the linear detection range and response time of the sensor are $1.0{\times}10^{-6}-9.0{\times}10^{-6}$ mol/L and 250 s, respectively. The sensor displays high selectivity, good repeatability and stability, and can be used as an effective tool in analyzing DCP concentration in practical samples.

Dinophyceae Fluctuations in Two Alpine Lakes of Contrasting Size During a 10-Year Fortnightly Survey

  • Trevisan, R.;Pertile, R.;Bronamonte, V.;Dazzo, F.B.;Squartini, A.
    • Journal of Microbiology and Biotechnology
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    • 제22권6호
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    • pp.754-762
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    • 2012
  • Colbricon Superiore and Inferiore are two small adjacent high-mountain lakes located in the Paneveggio Natural Park (Italy) that offer the rare opportunity to study two iso-ecologic water environments differing only by area and volume in a ratio of 2:1 and 3:1, respectively. We took advantage of this setting to investigate phytoplankton dynamics, compare variability and productivity differences between the two basins, and assess size-dependent issues. The phytoplankton group of the Dinophyceae was chosen as the indicator organisms of ecological perturbation owing to their high sensitivity to environmental variations, as well as their acknowledged nature of versatile proxy to report global climatic changes. The study was conducted for over 10 years with fortnightly samplings. Results indicated that (a) the Dinophyceae communities in the smaller lake were significantly more resistant to changes exerted by the fluctuation of lakewater transparency and pH; and (b) the smaller lake sustained a consistently higher production with an average Dinophyceae density 1.73 fold higher than that of the larger lake. The coefficients of variation show that the chemical parameters in the smaller lake display higher time-related fluctuation while being spatially homogeneous and that such conditions correlate with a higher stability of the Dinophyceae assemblage. The use of this setting is also proposed as a model to test relationships between ecosystem production and physical stability.

통신지사의 성과평가 : 비재량 요인을 포함한 DEA 적용 (Evaluating Performance of Telecommunication Branch : Application of DEA with Non-Discretionary Factor)

  • 권순만;한창희
    • 산업경영시스템학회지
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    • 제40권4호
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    • pp.21-28
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    • 2017
  • Improving efficiency of the telecommunication is crucial to the development and growth of Korean economy. Recently, it has become important with the huge development of information technology and its greater potential for extensive impact on the rest of the economy. Hence, it is useful to determine the factors that help enhance efficiency in telecommunication and consider them in improving the evaluation model. This study applies DEA (data envelopment analysis) to evaluate the relative efficiency of 51 branches of a Korean telecommunication company. Using the super-efficiency approach, we tested outliers which may affect the results and ranked the efficient branches. A method of deriving key variables applied to business operation is proposed to identify the key performance indicators for evaluation that takes environmental (non-discretionary) factors into account. We used the extended CCR model proposed by Banker and Morey to investigate the influence of non-discretionary factor. The information provided by the model (slacks, weights) and the sensitivity analysis shows that the most important indicator that affects the branch performance is operating cost. The results of sensitivity analysis show that average efficient score decreases from 0.972 (base case) to 0.863 for CASE2-COST. The average score of the data proves the priority of operating cost over other indicators. The effect of environmental (non-discretionary) variable was found to be significant. The population effect was positive and improved overall efficiency by 0.91% on average. Non-discretionary factor plays a meaningful role explaining the performance of branches. The performance optimization report can help a manager of an inefficient branch to develop branch strategies. Managers can identify the top-performing units, study best practices and adopt the strategy to the organization.

관상동맥우회술 수술환자의 수술 후 사망률 예측모형의 개발 (Severity-Adjusted Mortality Rates : The Case of CABG Surgery)

  • 박형근;권영대;신유철;이진석;김해준;손문준;안형식
    • Journal of Preventive Medicine and Public Health
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    • 제34권1호
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    • pp.21-27
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    • 2001
  • Objectives : To develop a model that will predict the mortality of patients undergoing Coronary Artery Bypass Graft (CABG) and evaluate the perfermance of hospitals. Methods : Data from 564 CABGs peformed in six general hospitals were collected through medical record abstraction by registered nurses. Variables studied involved risk factors determined by severity measures. Risk modeling was performed through logistic repression and validated with cross-validation. The statistical performance of the developed model was evaluated using c-statistic, $R^2$, and Hosmer-Lemeshow statistic. Hospital performance was assessed by severity-adjusted mortalities. Results : The developed model included age, sex, BUN, EKG rhythm, Congestive Heart Failure at admission. acute mental change within 24 hours, and previous angina pectoris history. The c-statistic and $R^2$ were 0.791 and 0.001, respectively. Hosmer-Lemeshow statistic was 10.3(p value=0.2415). One hospital had a significantly higher mortality rate than the average mortality rate, while others were net significantly different. Conclusion : Comparing the quality of service by severity adjusted mortality rates, there were significant differences in hospital performance. The severity adjusted mortality rate of CABG surgery may He an indicator for evaluating hospital performance in Korea.

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