• Title/Summary/Keyword: ESGF

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Implementation of ESGF Data Node for International Distribution of CORDEX-East Asia Regional Climate Data

  • Han, Jeongmin;Choi, Jaewon
    • International Journal of Contents
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    • v.17 no.1
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    • pp.61-70
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    • 2021
  • As the resolution of climate change scenario data applied with regional models increased, Earth System Grid Federation (ESGF) was established around major climate-related organizations to jointly operated and manage large-scale climate data. ESGF developed standard software to provide model output, observation data management, dissemination, and analysis using Peer to Peer (P2P) computing technology. Roles of each institution were divided into index and data nodes. Therefore, ESGF data node was established at APEC Climate Center in Korea on behalf of Asia to share data on climate change scenarios of CORDEX-East Asia (CORDEX-EA) to study climate changes in Eastern Asia. Climate researchers are expected to play a large role in researching causes of global warming and responding to climate change by providing CORDEX-EA regional model data to the world through ESGF data node.

Portfolio Selection for Socially Responsible Investment via Nonparametric Frontier Models

  • Jeong, Seok-Oh;Hoss, Andrew;Park, Cheolwoo;Kang, Kee-Hoon;Ryu, Youngjae
    • Communications for Statistical Applications and Methods
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    • v.20 no.2
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    • pp.115-127
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    • 2013
  • This paper provides an effective stock portfolio screening tool for socially responsible investment (SRI) based upon corporate social responsibility (CSR) and financial performance. The proposed approach utilizes nonparametric frontier models. Data envelopment analysis (DEA) has been used to build SRI portfolios in a few previous works; however, we show that free disposal hull (FDH), a similar model that does not assume the convexity of the technology, yields superior results when applied to a stock universe of 253 Korean companies. Over a four-year time span (from 2006 to 2009) the portfolios selected by the proposed method consistently outperform those selected by DEA as well as the benchmark.