• Title/Summary/Keyword: Future projection

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Current Status and Future Challenges of the National Population Projection in South Korea Concerning Super-Low Fertility Patterns (국제비교를 통해 바라본 한국의 장래인구추계 현황과 전망)

  • Jun, Kwang-Hee;Choi, Seul-Ki
    • Korea journal of population studies
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    • v.33 no.2
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    • pp.85-111
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    • 2010
  • South Korea has experienced a rapid fertility decline and notable mortality improvement. As the drop in TFR was quicker and greater in terms of tempo and magnitude, it cast a new challenge of population projection - how to improve the forecasting accuracy in the country with a super-low fertility pattern. This study begin with the current status of the national population projection as implemented by Statistics Korea by comparing the 2009 interim projection with the 2006 official national population projection. Secondly, this study compare the population projection system including projection agencies, projection horizons, projection intervals, the number of projection scenarios, and the number of assumptions on fertility, mortality and international migration among super-low fertility countries. Thirdly we illustrate a stochastic population projection for Korea by transforming the population rates into one parameter series. Finally we describe the future challenges of the national population projection, and propose the projection scenarios for the 2011 official population projection. To enhance the accuracy, we suggest that Statistics Korea should update population projections more frequently or distinguish them into short-term and long-term projections. Adding more than four projection scenarios including additional types of "low-variant"fertility could show a variety of future changes. We also expect Statistics Korea topay more attention to the determination of a base population that should include both national and non-national populations. Finally we hope that Statistics Korea will find a wise way to incorporate the ideas underlying the system of stochastic population projection as part of the official national population projection.

The Changes and Future Direction of Graphical Projection in Computer Games (컴퓨터게임에 나타난 투영도법의 변천과 전개방향)

  • Ha, Dong-One;Lee, Chang-Jo
    • Journal of Korea Game Society
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    • v.10 no.4
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    • pp.3-13
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    • 2010
  • This study is about projection methods in computer games that support graphic user interface. Most of previous studies were case studies on or aesthetic approaches to a specific projection method. We investigated projection methods observed in computer games according to the chronicle of games, and studied changes in the methods and their future direction. Furthermore, we examined the emotional and productive aspects of various projection methods, and found that projection methods in computer games are being developed in accordance with graphic designers' job difficulty and computer processing capacity. Project, which determines contents consumers' view, is a very important factor to be decided at the planning stage of contents development. In this sense, we expect the results of this study to make a contribution to relevant areas.

A modified Lee-Carter model based on the projection of the skewness of the mortality (왜도 예측을 이용한 Lee-Carter모형의 사망률 예측)

  • Lee, Hangsuck;Baek, Changryong;Kim, Jihyeon
    • The Korean Journal of Applied Statistics
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    • v.29 no.1
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    • pp.41-59
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    • 2016
  • There have been continuous improvements in human life expectancy. Life expectancy is as a key factor in an aging population and can wreak severe damage on the financial integrity of pension providers. Hence, the projection of the accurate future mortality is a critical point to prevent possible losses to pension providers. However, improvements in future mortality would be overestimated by a typical mortality projection method using the Lee-Carter model since it underestimates the mortality index ${\kappa}_t$. This paper suggests a mortality projection based on the projection of the skewness of the mortality versus the typical mortality projection of the Lee-Carter model based on the projection of the mortality index, ${\kappa}_t$. The paper shows how to indirectly estimate future t trend with the skewness of the mortality and compares the results under each estimation method of the mortality index, ${\kappa}_t$. The analysis of the results shows that mortality projection based on the skewness presents less improved mortality at an elderly ages than the original projection.

PROJECTION OF TRAJECTORY FOR SUPPORTING UNCERTAINTY FUTURE TIME OF MOVING OBJECT

  • Won Ho-Gyeong;Jung Young Jin;Lee Yang Koo;Park Mi;Kim Hak-cheol;Ryu Keun Ho
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.72-75
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    • 2005
  • Uncertainty of objects in Moving Object Database is a coherent property. It has been discussed in a lot of researches on modelling and query processing. The previous studies assume that uncertain future time is determined through utilizing recent speed and direction of vehicles. This method is simple and useful for estimating the time of the near future location. However, it is not appropriate when we estimate the time of the far future location. Therefore, in this paper, we propose a concept of planned route. It is used to estimate uncertain future time, which has to be located at a given point. If the route of an object is planned beforehand its locations are uncertainly distributed near that route. By a simple projection operation, the probability that a location lies in the planned route is increased. Moreover, we identify the future time of an object based on the speed for passing the route, which is offered via a website.

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A Short-Term Projection of the Government Budget in Medical Expenditures using for the Low-income Handicapped (저소득층 장애인 의료비에 대한 정부부담금 추계)

  • 이선자;김미주;장숙랑;이효영
    • Health Policy and Management
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    • v.13 no.2
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    • pp.125-143
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    • 2003
  • This study was conducted to estimate the future government budget in medical expenditures using for the low-income handicapped, because medical expenditures to the low-income handicapped is escalating in these days. It became a big problem not only to the central-government but also to the district-government because they have to subsidize a part of co-payment. This study was designed to project the future government budget using structural model. For the short-term projection, the structural model is stronger than the regression model. The data used for this study were the population projection data based on National Census Data(2000) of the National Statistical Office, the data of Ministry of Health & Welfare, and the data of National Health Insurance Corporation from November 2m to June 2001. The results of the study are summarized as follows: The future government budget in medical expenditures using to the low-income handicapped will be 15-18 billion Won in the year 2003, 16-23 billion Won in 2004, 18-30 billion Won in 2005, 19-38 billion Won in 2006 and 21-49 billion Won in 2007. It is predicted that they would be increasing rapidly. Therefore, the government budget in medical expenditures using for the low-income handicapped must be enlarged.

Variability of Wind Energy in Korea Using Regional Climate Model Ensemble Projection (지역 기후 앙상블 예측을 활용한 한반도 풍력 에너지의 시·공간적 변동성 연구)

  • Kim, Yumi;Kim, Yeon-Hee;Kim, Nayun;Lim, Yoon-Jin;Kim, Baek-Jo
    • Atmosphere
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    • v.26 no.3
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    • pp.373-386
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    • 2016
  • The future variability of Wind Energy Density (WED) over the Korean Peninsula under RCP climate change scenario is projected using ensemble analysis. As for the projection of the future WED, changes between the historical period (1981~2005) and the future projection (2021~2050) are examined by analyzing annual and seasonal mean, and Coefficient of Variation (CV) of WED. The annual mean of WED in the future is expected to decrease compared to the past ones in RCP 4.5 and RCP 8.5 respectively. However, the CV is expected to increase in RCP 8.5. WEDs in spring and summer are expected to increase in both scenarios RCP 4.5 and RCP 8.5. In particular, it is predicted that the variation of CV for WED in winter is larger than other seasons. The time series of WED for three major wind farms in Korea exhibit a decrease trend over the future period (2021~2050) in Gochang for autumn, in Daegwanryeong for spring, and in Jeju for autumn. Through analyses of the relationship between changes in wind energy and pressure gradients, the fact that changes in pressure gradients would affect changes in WED is identified. Our results can be used as a background data for devising a plan to develop and operate wind farm over the Korean Peninsula.

Development of Fertility Assumptions for the Future Population Projection (장래인구추계를 위한 출산력 가정치의 설정)

  • Jun, Kwang-Hee
    • Korea journal of population studies
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    • v.29 no.2
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    • pp.53-88
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    • 2006
  • The major aim of this paper is to develop a hypothetical set of age-specific fertility rates which are logically derived and reasonably accurate in the projection of future population. The first procedure is to select a generalized log-gamma distribution model, which includes Coale-McNeil nuptiality model, in order to estimate and project a set of age-specific fertility rates by birth cohort and birth order. The second is to apply the log-gamma model with an empirical adjustment to the actual data to estimate and project the future fertility rates for relatively young birth cohorts who did not complete their reproductive career. This study reconstructs or translates a set of cohort age-specific fertility rates into a set of period age-specific fertility rates which must be hypothesized in order to establish the broader framework of future population projection. For example, the fertility at age 20 in the year of 2020 is the fertility at age 20 for the cohort born in 1990, while the fertility at age 21 in the year of 2020 is the fertility at 21 for the cohort born in 1989. In turn, once a set of age-specific fertility rates for the cohorts who were born up to the year of 2010, it is possible for one to establish an hypothetical set of period age-specific fertility rates which will be needed to project the future population until the year of 2055. The difference in the hypothetical system of age-specific fertility rates between this study and the 2005 special population projection comes from the fact that the fertility estimation/projection model used in this study was skillfully exploited to reflect better actual trend of fertility decline caused by rise in marriage age and increasing proportion of those who remain single until their end of reproduction. In this regard, this paper argues that the set of age-specific fertility rates derived from this study is more logical and reasonably accurate than the set of those used for the 2005 special projection. In the population projection, however, the fundamental issue of the hypothetical setting of age-specific fertility rates in relation to the fertility estimation/projection model is about how skillfully one can handle the period effects. It is not easy for one to completely cope with the problem of period effects except for the a minor period adjustment based on recent actual data, along with the given framework of a cohort-based fertility estimation/projection model.

Bias Correction for GCM Long-term Prediction using Nonstationary Quantile Mapping (비정상성 분위사상법을 이용한 GCM 장기예측 편차보정)

  • Moon, Soojin;Kim, Jungjoong;Kang, Boosik
    • Journal of Korea Water Resources Association
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    • v.46 no.8
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    • pp.833-842
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    • 2013
  • The quantile mapping is utilized to reproduce reliable GCM(Global Climate Model) data by correct systematic biases included in the original data set. This scheme, in general, projects the Cumulative Distribution Function (CDF) of the underlying data set into the target CDF assuming that parameters of target distribution function is stationary. Therefore, the application of stationary quantile mapping for nonstationary long-term time series data of future precipitation scenario computed by GCM can show biased projection. In this research the Nonstationary Quantile Mapping (NSQM) scheme was suggested for bias correction of nonstationary long-term time series data. The proposed scheme uses the statistical parameters with nonstationary long-term trends. The Gamma distribution was assumed for the object and target probability distribution. As the climate change scenario, the 20C3M(baseline scenario) and SRES A2 scenario (projection scenario) of CGCM3.1/T63 model from CCCma (Canadian Centre for Climate modeling and analysis) were utilized. The precipitation data were collected from 10 rain gauge stations in the Han-river basin. In order to consider seasonal characteristics, the study was performed separately for the flood (June~October) and nonflood (November~May) seasons. The periods for baseline and projection scenario were set as 1973~2000 and 2011~2100, respectively. This study evaluated the performance of NSQM by experimenting various ways of setting parameters of target distribution. The projection scenarios were shown for 3 different periods of FF scenario (Foreseeable Future Scenario, 2011~2040 yr), MF scenario (Mid-term Future Scenario, 2041~2070 yr), LF scenario (Long-term Future Scenario, 2071~2100 yr). The trend test for the annual precipitation projection using NSQM shows 330.1 mm (25.2%), 564.5 mm (43.1%), and 634.3 mm (48.5%) increase for FF, MF, and LF scenarios, respectively. The application of stationary scheme shows overestimated projection for FF scenario and underestimated projection for LF scenario. This problem could be improved by applying nonstationary quantile mapping.

A Financial Projection of Health Insurance Expenditures Reflecting Changes in Demographic Structure (인구구조의 변화를 반영한 건강보험 진료비 추계)

  • Lee, ChangSoo;Kwon, HyukSung;Chae, JungMi
    • Journal of Korean Public Health Nursing
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    • v.31 no.1
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    • pp.5-18
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    • 2017
  • Purpose: This study was conducted to suggest a method for financial projection of health insurance expenditures that reflects future changes in demographic structure. Methods: Using data associated with the number of patients and health insurance cost per patient, generalized linear models (GLM) were fitted with demographic explanatory variables. Models were constructed separately for individual medical departments, types of medical service, and types of public health insurance. Goodness-of-fit of most of the applied GLM models was quite satisfactory. By combining estimates of frequency and severity from the constructed models and results of the population projection, total annual health insurance expenditures were projected through year 2060. Results: Expenditures for medical departments associated with diseases that are more frequent in elderly peoples are expected to increase steeply, leading to considerable increases in overall health insurance expenditures. The suggested method can contribute to improvement of the accuracy of financial projection. Conclusion: The overall demands for medical service, medical personnel, and relevant facilities in the future are expected to increase as the proportion of elderly people increases. Application of a more reasonable estimation method reflecting changes in demographic structure will help develop health policies relevant to above mentioned resources.