• Title/Summary/Keyword: 실시간 경제지표

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Proposal an Alternative Data Pipeline to Secure the Timeliness for Official Statistical Indicators (공식발표 통계지표의 적시성 확보를 위한 대안 데이터 파이프라인 구축제안)

  • Yongbok Cho;Dowan Kim
    • Journal of Korea Society of Industrial Information Systems
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    • v.28 no.5
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    • pp.89-108
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    • 2023
  • This study provides a comprehensive analysis of recent studies conducted on the topic of nowcasting in order to enhance the accuracy and promptness of official statistical data. Furthermore, we propose an alternative approach involving the utilization of real-time data and its corresponding collection methods to effectively operate a real-time nowcasting model capable of accurately capturing the current economic condition. We explore high-frequency real-time data that can predict economic indicators in both the public and private sectors and propose a pipeline for data collection processing and modeling that is based on cloud platforms. Furthermore we validate the essential elements required for the implementation of real-time nowcasting, as well as their data management protocols to ensure the reliability and consistency needed for accurate forecasting of official statistical indicators.

Comparative Analysis of Factors in Country Risk between Cambodia and Vietnam (캄보디아와 베트남의 국가위험도 영향요인 비교 분석)

  • Lee, Changkeun;Choo, Yongsik
    • Journal of the Korean Regional Science Association
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    • v.34 no.2
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    • pp.65-77
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    • 2018
  • The purpose of this study is to compare and analyze factors in country risk between Cambodia and Vietnam. OECD and the Export-Import Ban of Korea assess country risk of Cambodia more highly than Vietnam. As results of the parametric tests for evaluation factors on the basis of country risk classification, the economic growth rate, the foreign trade index, and the foreign exchange reserves among the economic risks with the corruption index as the political and social risk have statistically significant effect on the difference between country risks of two countries. However, discriminant factor analysis indicates that the economic growth rate, the foreign exchange reserves, and the corruption index are key variables, which represent the difference between country risks of Cambodia and Vietnam. Consequently, the government of Cambodia needs to try to root out the corruption and to expand trade through increasing export for lowering the country risk to the level of Vietnam. Vietnam would also need to focus on attaining the sustainable high economic growth rate and increasing the foreign exchange reserves.

Development of a GPS/GIS based Real-time Congestion Index for Traffic Information (교통정보제공을 위한 GPS/GIS기반의 실시간 혼잡지표개발)

  • Choi, Kee-Choo;Jang, Jeong-Ah;Jeong, Jae-Young;Shim, Sang-Woo
    • Journal of Korean Society for Geospatial Information Science
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    • v.12 no.4 s.31
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    • pp.53-60
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    • 2004
  • Congestion index is needed for quantifying congestion level for various areas. So far, the index has been calculated based on multiple vehicle data for specified time interval. Such being the case, it was costly to build it and the usage of it was focused on policy development and evaluation rather than on traffic information provision. This study focuses on a development on a single vehicle based congestion index which can be a representative value for link congestion level and link speed information at the same time for dual purposes of traditional usages and information provision. A new term has been added for representing real time based arterial congestion level and it has been verified on a real time basis. The index was based on single vehicle GPS data and seemed to be cost effective in deriving the index. With the help of the index, the traffic information contents can be diversified in a constructive way in providing real time traffic information for ITS area and in using congestion level determination for traditional transportation areas.

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Development of the Smart Device for Real Time Water Quality Monitoring (실시간 수질 모니터링을 위한 스마트 디바이스의 개발)

  • Ryu, Dae-Hyun;Choi, Tae-Wan
    • The Journal of the Korea institute of electronic communication sciences
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    • v.14 no.4
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    • pp.723-728
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    • 2019
  • Citizens' distrust of water pollution is very high in tap water that we routinely drink. In addition, water pollution accidents of tap water are difficult to predict and the risk is high, so real-time monitoring and management are needed. Therefore, it is necessary to introduce real-time water quality monitoring using the Internet of things(IoT). Residual chlorine is more persistent and economical than other disinfectants and it is easy to check residual effect, so it is mainly used as a disinfection index in waterworks. It can be monitored in real time by using IoT technology in order to secure the safety of tap water. In this study, we developed smart device for real-time water quality monitoring using amperometry sensor and analyzed its performance.

Real-time private consumption prediction using big data (빅데이터를 이용한 실시간 민간소비 예측)

  • Seung Jun Shin;Beomseok Seo
    • The Korean Journal of Applied Statistics
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    • v.37 no.1
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    • pp.13-38
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    • 2024
  • As economic uncertainties have increased recently due to COVID-19, there is a growing need to quickly grasp private consumption trends that directly reflect the economic situation of private economic entities. This study proposes a method of estimating private consumption in real-time by comprehensively utilizing big data as well as existing macroeconomic indicators. In particular, it is intended to improve the accuracy of private consumption estimation by comparing and analyzing various machine learning methods that are capable of fitting ultra-high-dimensional big data. As a result of the empirical analysis, it has been demonstrated that when the number of covariates including big data is large, variables can be selected in advance and used for model fit to improve private consumption prediction performance. In addition, as the inclusion of big data greatly improves the predictive performance of private consumption after COVID-19, the benefit of big data that reflects new information in a timely manner has been shown to increase when economic uncertainty is high.

한국의 가족가치에 대한 국제비교연구

  • Eun, Gi-Su;Lee, Yun-Seok
    • Korea journal of population studies
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    • v.28 no.1
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    • pp.107-132
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    • 2005
  • 이 연구는 2003년에 실시된 한국종합사회조사(KGSS)의 가족모듈과 국제사회조사기구(ISSP)의 2002년 가족모듈을 이용해 한국의 가족가치를 국제적인 수준에서 비교 분석하고 있다. 한국에서는 최근 여러 가치와 태도가 급변하고 있다고 믿어지고 있다. 그 결과 세대간의 가치 및 태도의 차이가 크고, 이는 사회내 세대간 갈등의 뿌리라고도 이해되고 있다. 그러나 이에 대한 과학적인 검증은 많지 않다. 이 연구는 이런 시점에서 한국의 여러 가지 중 가족가치의 영역에서 세대간 가치가 크게 나타나고 있는지, 국제적인 수준에서 보면 우리나라의 세대간 가족가치 차이가 크다고 볼 수 있는지를 kurtosis라는 지표를 통해 분석하고 있다. 결혼, 동거, 이혼 및 부부의 성역할에 관한 가치 및 태도를 분석해 본 결과 한국인의 가족가치는 가톨릭이 지배적인 필리핀의 가족가치와 비슷할 정도로 매우 보수적이고 전통적인 것으로 나타났다. 일반적으로 가치관의 변화는 경제발전 정도에 크게 영향을 받는 것으로 알려져 있다. 그런데 한국은 한국보다 경제발전 정도가 크게 뒤져 있으면서 보수적인 가족가치관이 지배적인 필리핀과 가족가치의 수준이 비슷하게 나타나고 있다. 세대간 갈등의 원인이라고 볼 수 있을 정도로 가족가치의 세대간 차이가 큰지 kurtosis를 이용해 분석해 본 결과, 한국보다 오히려 일본의 세대간 가치관의 차이가 더 큰 것으로 나타났다. 한국에 세대간 가치관의 차이가 있지만, 외국과 비교해보면 한국의 세대간 가치관 차이가 더 두드러진다고는 보기 힘들다.

Concentration in the Primary City and Economic Growth (수위도시 집중과 경제성장)

  • Lee, Keunjae;Choe, Byeongho;Park, Hyeongho
    • International Area Studies Review
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    • v.21 no.4
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    • pp.85-100
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    • 2017
  • The study tries to shed empirical light on the relation between the concentration of population in the primary city and per capita economic growth of the country, using the data for 113 nations over the period, 2000-2010. The concentration of population is measured in two ways, the ratio of the primary city's population to the total and to the second city. Using the ratio of the primary city's population to that of the entire nation, the empirical results neither show the robust negative relations nor the reverse U relation between primary city's concentration and economic growth. The ratio of the primary city to the second city however turns out to have a negative relation to per capita GDP growth. This result implies economic growth of a nation can be enhanced by decreasing the gap between the primary and the second ranked cities and does not support the reverse U hypothesis by Handerson(1974, 2003).

Analysis of Assessment Indicator on Priorities for Budget Allocation of the National R&D Program (국가연구개발사업 예산배분을 위한 우선순위 판단지표 분석)

  • Ahn, Seung-Ku;Kim, Eun-Sil;Cho, Hyun-Jeong
    • Journal of Korea Technology Innovation Society
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    • v.14 no.4
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    • pp.889-914
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    • 2011
  • This paper is to review assessment indicator on priorities for budget allocation of the national R&D program. In priority setting of programs for the budget allocation process of the national R&D program using the Analytical Hierarchy Process (AHP), the survey result on the major influencing factors is as follows: the significance of components of evaluation for the priority of the national R&D programs in budget allocation was as following order: "accomplishment and ripple effect of the project," "basis and driving force for the promotion of project," "feasibility of project goals," and the "possibility of overlapping and linkage among projects". The importance of the final evaluation indicator was as following order: "clarity and possibility for accomplishment of business objectives," "ripple effects in terms of science and technology", "ripple effects in terms of the economy and overall society" and "appropriate correspondence with mid- to long-term plans" (the importance for these four indicators was over 10%) while the importance of "overlapping" and "appropriateness of budget size" indicators which fell below 5% were considered to be relatively less important. there is a need for a clear criteria and conceptions of evaluation indicators for budget allocation of national R&D programs.

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Establishment of Quick Model for Private Consumption Symptom (민간소비 이상징후에 대한 속보성 모형 구축)

  • Ahn, Sung-Hee;Lee, Zoonky;Ha, Ji-Eun
    • The Journal of Bigdata
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    • v.2 no.1
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    • pp.59-69
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    • 2017
  • According to precedent research of disaster economics, most of the studies are either based on belated macroeconomic indicators or are limited to specific industries. It is certain that preventing disaster is important, but immediate analysis and reconstruction policy are crucial as well. This research analyzed the ripple effect of consumer spending followed by April 16 ferry disaster and MERS outbreak; it was done by applying credit card company's real-time big data with Marketing Mix Modeling. The main focus of this research is to see if it is possible to predict the scale of damage during ongoing disasters. It is found that setting up weekly MMM and moving the timeline draws significance conclusion. When disasters or events occur in future, this research may be the basis of building quick and intuitive indicator to monitor possible effects.

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Evaluation of governmental R&D results through bibliometical HCP analysis (과학계량학적 HCP 분석을 통한 연구개발 성과 평가 -다학제분야의 논문과 경제적 효과를 중심으로-)

  • Kim, Hyun-woo;Choi, Yun-jeong;Moon, Yeong-ho
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2015.05a
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    • pp.226-240
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    • 2015
  • The purpose of this study is to establish a proper evaluation system for R&D performance by analyzing relationships between quantitative results of science& technology and national wealth. We analyzed 193,474 research papers in multi-disciplinary fields from SCOPUS database and explored co-relations between HCP production by section and national wealth. This research found a significant relationship between the number of HCP papers and GDP & GDP per capita by nation. Also, results from this study indicate that top 30 to 40 percent of researches should be reflected in the performance evaluation while these numbers could be flexible in accordance with the direction of national policy. In terms of future research, this study provides basis for designing more effective R&D performance evaluation systems.

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