Journal ArticleDOI
Global energy flows embodied in international trade: A combination of environmentally extended input–output analysis and complex network analysis
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In this paper, the authors apply a variety of complex network analysis tools to uncover the structure of embodied energy flow network (EEFN) at global, regional and national level, based on environmentally extended input-output analysis (EEIOA).About:
This article is published in Applied Energy.The article was published on 2018-01-15. It has received 216 citations till now. The article focuses on the topics: Embodied energy & Energy security.read more
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Environmental and social footprints of international trade
TL;DR: In this paper, the authors present a synthesis of studies on the geospatial separation of consumption and production, and suggest that indicators of environmental and social footprints of international trade must inform assessments of progress towards the UN Sustainable Development Goals.
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Input-output and structural decomposition analysis of India’s carbon emissions and intensity, 2007/08 – 2013/14
Bangzhu Zhu,Bin Su,Yingzhu Li +2 more
TL;DR: In this paper, the authors tried to fill in the gap by using I-O framework to study India's total emissions and intensity changes and its driving forces with the latest data available and newly proposed techniques.
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Carbon emissions and their drivers for a typical urban economy from multiple perspectives: A case analysis for Beijing city
TL;DR: Wang et al. as discussed by the authors investigated the role of consumption and consumption-based CO2 emissions in an urban economy, taking Beijing as a case, and found that consumption was the key contributor to CO2 emission in Beijing.
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Carbon abatement in China's commercial building sector: A bottom-up measurement model based on Kaya-LMDI methods
TL;DR: Wang et al. as mentioned in this paper presented a bottom-up model for measuring the CACCB values based on decomposing the extended Kaya identity via the Logarithmic Mean Divisia Index (LMDI) method.
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Do commercial building sector-derived carbon emissions decouple from the economic growth in Tertiary Industry? A case study of four municipalities in China.
TL;DR: This study is the first to propose a decoupling method based on a Logarithmic Mean Divisia Index (LMDI) decomposition analysis with the Kaya identity to analyze the relationship between economic development in China's Tertiary Industry and the CECCB growth at both national and municipal levels.
References
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TL;DR: Simple models of networks that can be tuned through this middle ground: regular networks ‘rewired’ to introduce increasing amounts of disorder are explored, finding that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs.
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Centrality in social networks conceptual clarification
TL;DR: In this article, three distinct intuitive notions of centrality are uncovered and existing measures are refined to embody these conceptions, and the implications of these measures for the experimental study of small groups are examined.
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Community structure in social and biological networks
Michelle Girvan,Mark Newman +1 more
TL;DR: This article proposes a method for detecting communities, built around the idea of using centrality indices to find community boundaries, and tests it on computer-generated and real-world graphs whose community structure is already known and finds that the method detects this known structure with high sensitivity and reliability.