The evolution of patterns within embodied energy flows in the Chinese economy: A multi-regional-based complex network approach
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Geoffrey Qiping Shen | Zhuang Miao | Jingke Hong | Zezhou Wu | G. Shen | Zezhou Wu | Zhuang Miao | Miaohan Tang | Jingke Hong | Miaohan Tang
[1] Shunsuke Managi,et al. Driving force and resistance: Network feature in oil trade , 2017 .
[2] Haizhong An,et al. Indirect energy flow between industrial sectors in China: A complex network approach , 2016 .
[3] B. W. Ang,et al. Input–output analysis of CO2 emissions embodied in trade: The effects of sector aggregation , 2010 .
[4] Gang Wu,et al. Structure and formation of top networks in international trade, 2001-2010 , 2016, Soc. Networks.
[5] Lei Zhu,et al. Embodied energy, export policy adjustment and China's sustainable development: A multi-regional input-output analysis , 2015 .
[6] Ying Fan,et al. Competition, Transmission and Pattern Evolution: A Network Analysis of Global Oil Trade , 2014 .
[7] Lixin Tian,et al. A complex network perspective on interrelations and evolution features of international oil trade, 2002–2013☆ , 2017 .
[8] Bo Zhang,et al. Identifying primary energy requirements in structural path analysis: A case study of China 2012 , 2017 .
[9] Bo Zhang,et al. The impact of domestic trade on China's regional energy uses: A multi-regional input–output modeling , 2013 .
[10] Hongmei Zheng,et al. Multi-regional input–output model and ecological network analysis for regional embodied energy accounting in China , 2015 .
[11] Haizhong An,et al. Emergy network analysis of Chinese sectoral ecological sustainability , 2018 .
[12] Ying Fan,et al. A Dynamic Analysis on Global Natural Gas Trade Network , 2014 .
[13] A. Vespignani,et al. The architecture of complex weighted networks. , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[14] B. W. Ang,et al. Input–output analysis of CO2 emissions embodied in trade: The effects of spatial aggregation , 2010 .
[15] Lixin Tian,et al. Research on the interaction patterns among the global crude oil import dependency countries: A complex network approach , 2016 .
[16] Beom Jun Kim,et al. Korean university life in a network perspective: Dynamics of a large affiliation network , 2004, cond-mat/0411634.
[17] Yi-Ming Wei,et al. Chinese CO2 emission flows have reversed since the global financial crisis , 2017, Nature Communications.
[18] Han Qiao,et al. Growth in embodied energy transfers via China’s domestic trade: Evidence from multi-regional input–output analysis , 2016 .
[19] Sharmistha Bagchi-Sen,et al. Small and flat worlds: A complex network analysis of international trade in crude oil , 2015 .
[20] Geoffrey Qiping Shen,et al. Exploring energy flows embodied in China's economy from the regional and sectoral perspectives via combination of multi-regional input–output analysis and a complex network approach , 2019, Energy.
[21] Kebin He,et al. Energy policy: A low-carbon road map for China , 2013, Nature.
[22] Fan Xue,et al. A multi-regional structural path analysis of the energy supply chain in China's construction industry , 2016 .
[23] Xiaoling Zhang,et al. Interprovincial transfer of embodied primary energy in China: A complex network approach , 2018 .
[24] Geoffrey Qiping Shen,et al. An integrated framework for embodied energy quantification of buildings in China: A multi-regional perspective , 2018, Resources, Conservation and Recycling.
[25] A Ford,et al. Spatial structure and evolution of infrastructure networks , 2016 .
[26] Haizhong An,et al. Analysis of embodied exergy flow between Chinese industries based on network theory , 2015 .
[27] Tsuyoshi Fujita,et al. Embodied energy use in China's industrial sectors , 2012 .
[28] Ying Fan,et al. Identification of Global Oil Trade Patterns: An Empirical Research Based on Complex Network Theory , 2014 .
[29] Haizhong An,et al. The evolution of communities in the international oil trade network , 2014 .
[30] Geoffrey Qiping Shen,et al. Energy use embodied in China's construction industry: A multi-regional input-output analysis , 2016 .
[31] B. W. Ang,et al. Multi-region input–output analysis of CO2 emissions embodied in trade: The feedback effects , 2011 .
[32] U. Brandes. A faster algorithm for betweenness centrality , 2001 .
[33] Lei Shen,et al. The roles of countries in the international fossil fuel trade: An emergy and network analysis , 2017 .
[34] Ying Fan,et al. The state's role and position in international trade: A complex network perspective , 2014 .
[35] Guochang Fang,et al. Spatiotemporal Dynamics and Fitness Analysis of Global Oil Market: Based on Complex Network , 2016, PloS one.
[36] Yifan Yang,et al. Towards sustainable and resilient high density cities through better integration of infrastructure networks , 2018, Sustainable Cities and Society.
[37] G. Shen,et al. Characterizing embodied energy accounting with a multi-dimensional framework: A study of China's building sector , 2019, Journal of Cleaner Production.
[38] Bo Zhang,et al. Embodied energy uses by China's four municipalities: A study based on multi-regional input-output model , 2015 .
[39] Fulong Wu,et al. Understanding city-regionalism in China: regional cooperation in the Yangtze River Delta , 2018 .
[40] Manfred Lenzen,et al. Structural path analysis of ecosystem networks , 2007 .
[41] Bin Chen,et al. Global energy flows embodied in international trade: A combination of environmentally extended input–output analysis and complex network analysis , 2018 .
[42] G. Ottaviano,et al. Market Size, Trade, and Productivity , 2005, World Scientific Studies in International Economics.
[43] Huajiao Li,et al. Features and evolution of international crude oil trade relationships: A trading-based network analysis , 2014 .
[44] Jean-Loup Guillaume,et al. Fast unfolding of communities in large networks , 2008, 0803.0476.
[45] Haizhong An,et al. Evolution of the exergy flow network embodied in the global fossil energy trade: Based on complex network , 2016 .
[46] Huajiao Li,et al. Evolutionary features of global embodied energy flow between sectors: A complex network approach , 2017 .