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Implication of the cluster analysis using greenhouse gas emissions of Asian countries to climate change mitigation

  • Yongbum Kwon
  • Hyeji Lee
  • Heekwan Lee
Original Article

Abstract

Climate change caused by excessive emission of greenhouse gases (GHGs) into the atmosphere has gained serious attention from the global community for a long time. More and more countries have decided to propose their goals such as Paris agreements, to reduce emitting these heat trapping compounds for sustainability. The Asian region houses dramatic changes with diverse religions and cultures, large populations as well as a rapidly changing socio-economic situations all of which are contributing to generating a mammoth amount of GHGs; hence, they require calls for related studies on climate change strategies. After pre-filtering of GHG emission information, 24 Asian countries have been selected as primary target countries. Hierarchical cluster analysis method using complete linkage technique was successfully applied for appropriate grouping. Six groups were categorized through GHG emission properties with major and minor emission sectors based on the GHG inventory covering energy, industrial processes, agriculture, waste, land use change, and forestry and bunker fuels. Assigning six groups using cluster analysis finally implied that the approach to establish GHG emission boundaries was meaningful to develop further mitigation strategies. Following the outcome of this study, calculating amount of reduction potential in suitable sectors as well as determining best practice, technology, and regulatory framework can be improved by policy makers, environmental scientists, and planners at the different levels. Therefore, this work on reviewing a wide range of GHG emission history and establishing boundaries of emission characteristics would provide further direction of effective climate change mitigation for sustainability and resilience in Asia.

Keywords

GHG inventory Cluster analysis Asian countries Climate change mitigation 

Notes

Acknowledgements

This work is financially supported by Ministry of Environment (MOE), South Korea as 「Knowledge-based environmental service Human resource development Project」. Furthermore, we appreciate World Resources Institute (WRI) for sharing country GHG emission data across the world through the Climate Access Indicators Tool (CAIT, http://cait.wri.org/).

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Authors and Affiliations

  1. 1.Department of Environmental EngineeringIncheon National UniversityIncheonRepublic of Korea
  2. 2.International Institute for Applied Systems AnalysisLaxenburgAustria

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