• Title/Summary/Keyword: GVAR

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The Impact of China Exchange Rate Policy on its Trading Partners: Evidence Based on the GVAR Model

  • ABBAS, Shah;NGUYEN, Van Chien;YANFU, Zhu;NGUYEN, Huu Tinh
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.8
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    • pp.131-141
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    • 2020
  • This study is designed to investigate the impact of China exchange rate policy on its trading partners by using a country multi-dataset GVAR model. Our model includes samples of 30 countries, six from high-income, six from middle-income and eighteen from low-income countries. This study used annual time series data over the period 1992 to 2017. We constructed currency misalignment index and it provided some interesting features about the currency undervaluation and overvaluation. The results of the currency misalignment shows that China's Renminbi is structurally more undervalued over the sample period as compared to other countries, and fluctuation in major currencies effects the global trade around the world. The overall empirical results of the GVAR model indicate that RMB undervaluation affects the trade pattern and macroeconomic performance of China's trading partners. Overall, China's exchange rate undervaluation has mixed effects on trading partner's GDP, exports and imports. The devaluation of China's RMB efficiently stimulated China's exports and reduced imports. While, in some countries, this effect is reverse, the RMB undervaluation increases the GDP of partner countries and also increases their exports to China. The results confirm the strong and leading role of the Chinese Renminbi in the global trade.

An Analysis on Regional Ripple Effects of the Sale and Chenosei Prices of the Apartments: A GVAR Approach (아파트 매매가격 및 전세가격의 지역별 파급효과: GVAR 모형 접근법)

  • Yoon, Jai-Hyung
    • Asia-Pacific Journal of Business
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    • v.13 no.3
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    • pp.343-359
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    • 2022
  • We analyze the regional ripple effects of both the sale prices and cheonsei prices using the global VAR(GVAR) model. The interest rate shock causes the regional sale prices to fall. Moreover, the greatest responses to the shock are those of Gangnam-gu, etc. because of there were many transactions for investment purpose. When interest rate rose, the cheonsei price in Gangnam-gu reacted greatly. Conversely, if interest rates fall, the cheonsei demand to live in Gangnam-gu increases. Furthermore, the response of sale price to the interest rate shock are greater than those of the cheonsei prices. Whereas, a positive shock on the sale price in Gangnam-gu increases the sale price there. It also raises the sale prices of the surrounding area in a similar pattern. The shock on the sale price in Gangnam-gu also increases the cheonsei price in Gangnam-gu. In addition, an increase in the sale price in Gangnam-gu leads to increases of cheonsei prices in other regions. Therefore, the recent rise of the base rate can negatively affect the sale prices, and thus a decrease in the sale price spreads to the surrounding areas. Accordingly, it is time for policy alternatives to make a soft landing in sale prices.

GOES-9 GVAR Imager Processing System Development by KARI

  • Ahn, S.I.;Koo, I.H.;Yang, H.M.;Hyun, D.H.;Park, D.J.;Kang, C.H.;Kim, D.S.;Choi, H.J.;Paik, H.Y.
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.31-33
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    • 2003
  • Recently, KARI developed in-house meteorological sensor processing system named MESIS for GOES GVAR 5-CH Imager for better KOMPSAT EOC mission operation. MESIS consists of antenna system, receiver, serial telemetry card, processing and mapping software, and 2 NT PC systems. This paper shows system requirement, system design, characteristic and test results of processing system. System operation concept and sample image are also provided. Implemented system was proven to be fully operational through lots of operations covering from RF signal reception to web publishing.

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Sub-satellite Point Observation and Image Registration Accomplishment with GOES-9 IMC-Off Status

  • Lim Hyun-Su;Ahn Sang-il;Choi Hae-Jin
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.212-215
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    • 2004
  • GOES-9 has been operated with the status of the Image Motion Compensation(IMC) off since last October. As the IMC function turned off, the sub-satellite point(SSP) of GVAR data was changed with the effect of the satellite motions. This makes the image registration, to maintain pixels within an image and between successive images to their earth-referenced information, not to be possible any more. In the paper, we introduce the method to accomplish image registration and the result of the SSP observation with the status of IMC off.

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Geo-stationary Meteorological Satellite Receiving System Development (정지궤도 기상위성 수신시스템 개발)

  • 박덕종;양형모;구인회;현대환;강치호;안상일
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2003.04a
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    • pp.300-304
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    • 2003
  • 기상위성은 그 특성상 다양한 Imager, Sounder, 그리고 여러 환경 테스트용 장비를 지니게 되며 일정한 시간동안 지구에 그 정보를 전송한다. 본 논문에서 제안된 수신 시스템은 현재 운영중인 아리랑위성 1호의 임무계획에 필요한 기상정보를 직접 획득하여 운영의 효율성을 높일 필요성에 의해서 GMS-5의 S-VISSR data 뿐만 아니라 2003년 4월 이후에 서비스를 할 것으로 예정된 GOES-9위성의 GVAR data도 역시 수신 및 처리를 할 수 있도록 설계되었다. Link budget 설계를 수행하여 최악의 경우에도 영상을 복원할 수 있는 통신링크가 제공되도록 설계하였고, 시스템 구성 모듈을 가능한 한 상용제품으로 사용하였다. 설치된 후에는 태양을 이용한 G/T의 값을 측정하여 설계치 보다 약1.608 향상된 시스템임을 검증하였고, 수신된 GMS-5의 S-VISSR 데이터를 성공적으로 처리함으로써 자체적으로 개발한 처리 소프트웨어를 검증하였다.

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Utilizations of GOES-9 Data in METRI/KMA: Sea Surface Temperature, Atmospheric Motion Vector

  • Chung, Chu-Yong;Sohn, Eun-Ha;Ahn, Myoung-Hwan;Park, Hye-Sook
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.331-333
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    • 2003
  • KMA successfully began to receive and utilize the GOES-9 GVAR data since May 22nd 2003 when GOES-9 replaced the long-lived GMS-5 for Western Pacific and East Asian region until operation of MTSAT-1R in 2004. To take advantage of improvements of the GOES-9 data over the GMS-5 data, such as the increase of the temporal and spat ial resolution and addition of 3.9${\mu}$m channel, we have improved several algorithms to derive the meteorological products. Here we show two examples of algorithms, sea surface temperature and atmospheric motion vector, and preliminary results of validation of the improved algorithm.

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