• 한국인구학
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• 제33권1호
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• pp.161-189
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• 2010

인구추계 분야에서 경험한 최근의 발전 상황은 불확실성에 대한 정확한 이해와 이에 대한 적절한 방법론적 대처가 핵심적인 이슈 중의 하나임을 보여 주고 있다. 이러한 측면에서 본 연구는 1980년대 이후 점차 활용도가 높아지고 있는 확률적 인구추계의 주요 내용과 방법들을 소개하였다. 구체적으로 본 연구는, 첫째, 인구변동 요인들의 미래 추세 예측에 수반된 불확실성의 특성 그리고 이러한 불확실성의 처리 방법으로 전통적인 시나리오 접근과 상대적으로 최근에 주목을 받기 시작한 확률적 접근을 개관하였다. 시나리오 접근의 한계와 관련해서는 확률적 해석의 불가능, 시나리오의 경직성, 예측구간의 비일관성의 문제를 검토하였다. 둘째, 확률적 인구추계의 특성들을 살펴봄과 함께 인구변동 요인들에 대한 확률적 예측을 위해 현재까지 가장 빈번하게 활용되고 있는 전문가 판단법, 통계적 모형에 기초한 방법, 그리고 과거의 예측 오차를 활용한 방법의 주요 내용과 장단점을 살펴보았다. 마지막으로 이러한 논의를 기초로 인구추계에 있어서 확률적 접근이 해결해야 할 과제와 향후 발전 방향 그리고 인구추계 분야에서 이루어진 최근의 발전 상황들이 갖는 시사점을 논의하였다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2016년도 학술발표회
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• pp.197-197
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• 2016

Forecasting future drought events in a region plays a major role in water management and risk assessment of drought occurrences. The creeping characteristics of drought make it possible to mitigate drought's effects with accurate forecasting models. Drought forecasts are inevitably plagued by uncertainties, making it necessary to derive forecasts in a probabilistic framework. In this study, a new probabilistic scheme is proposed to forecast droughts, in which a discrete-time finite state-space hidden Markov model (HMM) is used aggregated with the Representative Concentration Pathway 8.5 (RCP) precipitation projection (HMM-RCP). The 3-month standardized precipitation index (SPI) is employed to assess the drought severity over the selected five stations in South Kore. A reversible jump Markov chain Monte Carlo algorithm is used for inference on the model parameters which includes several hidden states and the state specific parameters. We perform an RCP precipitation projection transformed SPI (RCP-SPI) weight-corrected post-processing for the HMM-based drought forecasting to derive a probabilistic forecast that considers uncertainties. Results showed that the HMM-RCP forecast mean values, as measured by forecasting skill scores, are much more accurate than those from conventional models and a climatology reference model at various lead times over the study sites. In addition, the probabilistic forecast verification technique, which includes the ranked probability skill score and the relative operating characteristic, is performed on the proposed model to check the performance. It is found that the HMM-RCP provides a probabilistic forecast with satisfactory evaluation for different drought severity categories, even with a long lead time. The overall results indicate that the proposed HMM-RCP shows a powerful skill for probabilistic drought forecasting.

• Asian Journal of Innovation and Policy
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• 제9권2호
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• pp.187-206
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• 2020

Under the on-going evolution of the COVID-19 pandemic, estimating the economic impact of the pandemic is highly uncertain and challenging. This situation makes it difficult for policymakers, governors, and economic entities to formulate appropriate responses and decision makings. To provide useful information about the effect of the COVID-19 pandemic on the Korean economy, this study examined macroeconomic impact analysis stemming from the pandemic shocks with different scenarios for the Korean economy. Based on three scenarios using the growth rate of 2020 GDP and consumer expenditure patterns, the 2021 GDP by industry sector was forecast with two new approaches. First, the recovering process of the Korean economy from the shock was analyzed by applying a Flex-IO method. Second, a new forecasting approach combined with an IO coefficient matrix was applied to forecast the future GDP changes. The findings of this study are summarized as follows: First, the total GDP growth rate under the Pessimistic Scenario demonstrates less rebound from the shock than that of the Base Scenario. Second, agriculture, culture, and tourism-related sectors that are suffering from the severe losses of COVID-19 showed lower resilience than other different industries. Third, information and communications technology (ICT) industry maintains a stable growth trend and is expected to take the leading role for the Korean economy in the post-COVID-19 and the Industry 4.0 eras. The findings deliver that it needs to analyze how government expenditure responding the shock into the forecasting model, which can be more useful and reliable to simulate the resilience from the pandemic.

• 한국항해항만학회지
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• 제34권7호
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• pp.587-594
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• 2010

The positive and negative opinion to cargo demand of Incheon's SAMT in the near future remains cloudy. Considering port and shipping environmental changes and the logistics situation of China which explains the lack of facilities in Chinese airports, the creating of SAMT cargoes of the Incheon region could catches a favorable opportunity to be a logistics hub in the North-East Asia. On the other hand, as open-sky policy and direct-call service has been carried out between China and N.A.(North America), Incheon could cause a loss of competitiveness in SAMT because the enhancement in the aspect of the connectivity of Chinese airlines and shipping lines makes customer sent to last destination their cargoes whenever they want. In the same context, this paper analyses on conditions of domestic and international SAMT and proposes in this uncertainty future forecasting of SAMT of Incheon by scenario planning according to changes in integrated SAMT, measuring the likelihood of final scenario. This study shows the Sea & Air multi-transport volume will have either slight increase or decrease from the current condition. Consequently, RFS expansion and system & service improvement through strong ties with major cities in China will be required in a short run aspect. Nonetheless, we also need to take domestic & international transportation environment into account in the long run.

• Asian Journal of Innovation and Policy
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• 제9권2호
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• pp.133-144
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• 2020

Korean economy has experienced a very rapid growth largely due to the change of the innovation system since the last half century. The recent outbreak of COVID-19 impacts the global economy as well as Korea's innovation system. In order to understand the influence of the shock to the Korean technological system, we have forecast the future of the system combining qualitative and quantitative techniques such as expert panel, cross impact analysis, and scenario planning. According to the results, we have identified 39 driving forces influencing the change of Korea's technological innovation system. Four scenarios have been suggested based on the predetermined factors and core uncertainties. In other words, uncertainties of emergence of the regions and global value chains generate four scenarios: regional growth, unstable hope, returning to the past, and regional conflicts. The 'regional growth' scenario is regarded as the most preferable, whereas the 'regional conflicts' scenario is unavoidable. In conclusion, we put forward some policy implications to boost the regional innovation system by exploiting the weakened global value chains in order to move on to the most preferable scenario away from the return to the past regime.

• 에너지공학
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• 제21권1호
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• pp.33-42
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• 2012

본 연구에서는 MESSAGE를 이용하여 승용 부문의 중장기 온실가스 감축잠재량 전망을 위한 방법론과 그 결과를 제시하고 있다. 승용부문의 실질적인 온실가스 감축잠재량을 구하는 것이 아니라 가장 대표적인 중형차 부문의 4가지 차종인, 기존 내연기관차, 하이브리드, 플러그인 하이브리드, 전기차를 이용하여 2050년까지 시장점유율 변화를 알아는데 중점을 두었다. 승용 부문의 감축잠재량 분석을 위해 녹색위원회의 그린카 로드맵을 중심으로 한 BAU 시나리오, 그린카 보급을 강화하는 시나리오, 학습 곡선을 이용하여 학습률에 따른 차량 가격 시나리오, 그린카의 학습률을 강화하는 시나리오 등 4가지 시나리오를 구성하였다. 그린카 보급 강화 시나리오에서 2050년에는 BAU 시나리오 대비 13%의 배출량이 감소하였고, 학습률에 따른 차량 가격 시나리오 및 학습률 강화 시나리오에서는 14%의 배출량이 감소함을 알 수 있었다.

• 기술혁신연구
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• 제9권1호
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• pp.95-120
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• 2001

One of the systematic attempts for technological forecasting is Delphi Method that externalizes and manipulates unformalized experts opinion in a particular problem or subject. It has, however, a critical shortcoming that it can not reflect the degree of interaction that exists among forecast events or subject. Gordon and Hayward(1969) criticize that when the forecast events are strongly interrelated, a totally unrealistic consensus may result. They proposed a new forecasting method that considers the interaction of events, that is, Cross Impact Analysis (CIA). A number of related models have been developed after them. In this study, we examine a variety of research results related to CIA obtained by literature survey and propose the limitation and future research direction. This analysis would be expected to help us to create a strategic scenario on future technology development at the government and firm level.

• 과학기술학연구
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• 제12권1호
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• pp.107-144
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• 2012

2011년 3월에 일본 후쿠시마에서 발생한 핵사고의 영향 때문에 최근 한국 사회에서도 에너지 미래에 대한 관심이 높아지고 있다. 한국 정부는 에너지 수요가 계속 증가할 것이라는 전제 하에 원자력 발전 확대 정책을 고수하는 반면, 한국의 시민사회와 진보정당들은 핵발전소를 단계적으로 폐지하자는 탈핵 주장을 잇달아 내놓고 있다. 최근 시민사회 쪽 연구자들에 의해 정부의 공식적인 시나리오와는 다른 대안적인 에너지 시나리오들이 발표되면서 앞으로 정부 쪽의 주류 시나리오와 시민사회 쪽의 대안적 시나리오 사이에 경합이 불가피한 상황이다. 이 글은 2008년에 결정된 제1차 국가에너지기본계획에 포함된 에너지 시나리오와 2012년에 발표된 시민사회단체들의 에너지 시나리오들의 내용을 인식론적이고 방법론적인 기반, 가치 지향성, 제도적 기반, 그리고 시나리오 등장의 사회적 배경 등의 측면에서 비교함으로써 한국의 에너지 시나리오를 둘러싼 '전문성의 정치'를 분석하고 있다. 전문성의 정치란 누구의 지식과 전문성을 정당한 것으로 인정할 것인지 혹은 어떤 지식과 접근법을 가치 있고 믿을만한 것으로 여겨야 하는가를 둘러싸고 사람들 사이에서 형성되는 갈등적 경합과정이다. 분석 결과, 정부의 에너지 시나리오는 과학주의적 인식론과 포캐스팅 방법론에 기반하고 있고, 가치중립성에 의거한 전문가주의를 표방하고 있으며, 에너지 수급에 대한 기존 추세를 전제로 주로 정부연구소의 신고전파 경제학자들에 의해 작성되었음을 알 수 있었다. 반면에 시민사회의 대안 시나리오는 구성주의적인 인식론과 백캐스팅 방법론에 기반하고, 시민참여와 같은 적극적인 가치개입을 주장하고 있으며, 후쿠시마 핵사고를 직접적인 계기로 하여 대학과 시민사회의 다양한 학문적 배경을 지닌 연구자들에 의해 작성되었다는 점을 발견할 수 있었다.

• 대한전기학회논문지:전력기술부문A
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• 제50권7호
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• pp.303-308
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• 2001

This paper presents algorithm to plan construction and expanding of substation considering contingency accidents by proposing utilization factor according to configuration of substation bank system. In this paper, firstly, proper sphere of supply area by each district which could be standardized with respect to its supply capacity is established under assumption of long term load forecasting. Secondly, goal of utilization ratio based on configuration of substation bank was set to keep reliability by remaining sound bank when it happen to one bank accidents. Finally, it is set up for optimal construction and expanding of substation considering economy and reliability simultaneously about substation to exceed these ratio. To verify proposed algorithm, at first, after adopting a part of Kangnam area in Seoul as area for testing, it is divided into several regions for this area according to power branches of power utility. Secondly, by deriving correlation factor between load demand and economic indicators in these region respectively, the regional load forecasting was performed with economic growth and city plan scenario. Finally, based on the predicted load demand by region and land use data which is identified from air-photographic, the load demand by district was predicted. Also, planning for substation considering contingency is formulated to expand taking into account computing utilization factor which is based on configuration of substation bank respectively.

• 한국농공학회논문집
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• 제55권6호
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• pp.87-99
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• 2013

For analysis of climate change effects on agriculture, precise agricultural meteorological data are needed to target period and site. In this study, agricultural meteorological data under new climate change scenario (RCP 8.5) are constructed from 2011 to 2099 in 111 agriculture major station suggested by Rural Development Administration (RDA). For verifying constructed data, comparison with field survey data in Suwon shows same trend in maximum temperature, minimum temperature, average temperature, and precipitation in 2011. Also comparison with normals of daily data in 2025, 2055, and 2085 shows reliability of constructed data. In analysis of constructed data, we can calculate sum of days over temperature and under temperature. Results effectively show the change of average temperature in each region and odd days of precipitation which means flood and dry days in target region.