Natural Gas Scarcity Risk in the Belt and Road Economies Based on Complex Network and Multi-Regional Input-Output Analysis

被引:6
作者
Du, Ruijin [1 ]
Wu, Qi [2 ]
Nan, Ziwei [2 ]
Dong, Gaogao [2 ]
Tian, Lixin [2 ]
Wu, Feifan [2 ]
机构
[1] Jiangsu Univ, Ctr Energy Dev & Environm Protect, Zhenjiang 212013, Jiangsu, Peoples R China
[2] Jiangsu Univ, Sch Math Sci, Zhenjiang 212013, Jiangsu, Peoples R China
基金
国家自然科学基金重大项目; 中国国家自然科学基金;
关键词
the Belt and Road; multi-regional input-output model; embodied natural gas scarcity risk; complex network analysis; GLOBAL CARBON EMISSIONS; VIRTUAL WATER; CHINA; ENERGY; TRADE; FOOTPRINT; COUNTRIES; SECTORS;
D O I
10.3390/math10050788
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Natural gas scarcity poses a significant risk to the global economy. The risk of production loss due to natural gas scarcity can be transferred to downstream economies through globalized supply chains. Therefore, it is important to quantify and analyze how natural gas scarcity in some regions affects the Belt and Road (B&R) economies. The embodied natural gas scarcity risks (EGSRs) of B&R economies are assessed and the EGSR transmission network is constructed. The built network shows a small-world nature. This illustrates that any interruption in key countries will quickly spread to neighboring countries, potentially affecting the global economy. The top countries, including Turkey, China, Ukraine, and India are identified in EGSR exports, which also have relatively high values of closeness centrality. The findings illustrate that the shortage of natural gas supply in these countries may have a significant impact on downstream countries or sectors and the resulting economic losses spread rapidly. These countries are critical to the resilience of the B&R economies to natural gas scarcity. The top nations, including Turkmenistan, Macedonia, and Georgia are also identified in EGSR imports, highlighting their vulnerability to natural gas scarcity. Further, the community analysis of the network provides a fresh perspective for formulating fair and reasonable allocation policies of natural gas resources and minimizing the large-scale spread of economic losses caused by natural gas scarcity.
引用
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页数:16
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共 48 条
  • [1] Measuring the environmental sustainability performance of global supply chains: A multi-regional input-output analysis for carbon, sulphur oxide and water footprints
    Acquaye, Adolf
    Feng, Kuishuang
    Oppon, Eunice
    Salhi, Said
    Ibn-Mohammed, Taofeeq
    Genovese, Andrea
    Hubacek, Klaus
    [J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2017, 187 : 571 - 585
  • [2] Multidimensional assessment of the energy sustainability and carbon pricing impacts along the Belt and Road Initiative
    Bompard, E. F.
    Corgnati, S. P.
    Grosso, D.
    Huang, T.
    Mietti, G.
    Profumo, F.
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2022, 154
  • [3] Using Network Science to Analyse Football Passing Networks: Dynamics, Space, Time, and the Multilayer Nature of the Game
    Buldu, Javier M.
    Busquets, Javier
    Martinez, Johann H.
    Herrera-Diestra, Jose L.
    Echegoyen, Ignacio
    Galeano, Javier
    Luque, Jordi
    [J]. FRONTIERS IN PSYCHOLOGY, 2018, 9
  • [4] Interprovincial transfer of embodied energy between the Jing-Jin-Ji area and other provinces in China: A quantification using interprovincial input-output model
    Chen, Weiming
    Wu, Sanmang
    Lei, Yalin
    Li, Shantong
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2017, 584 : 990 - 1003
  • [5] Pioneering a Green Belt and Road Initiative (BRI) alignment between China and other members: mapping BRI's sustainability plan
    Cheshmehzangi, Ali
    Xie, Linjun
    Tan-Mullins, May
    [J]. BLUE-GREEN SYSTEMS, 2021, 3 (01) : 49 - 61
  • [6] Directed clustering in weighted networks: A new perspective
    Clemente, G. P.
    Grassi, R.
    [J]. CHAOS SOLITONS & FRACTALS, 2018, 107 : 26 - 38
  • [7] Social network analysis of virtual water trade among major countries in the world
    Deng, Guangyao
    Lu, Fengying
    Wu, Lingping
    Xu, Chao
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 753
  • [8] Optimal resilience of modular interacting networks
    Dong, Gaogao
    Wang, Fan
    Shekhtman, Louis M.
    Danziger, Michael M.
    Fan, Jingfang
    Du, Ruijin
    Liu, Jianguo
    Tian, Lixin
    Stanley, H. Eugene
    Havlin, Shlomo
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2021, 118 (22)
  • [9] Resilience of networks with community structure behaves as if under an external field
    Dong, Gaogao
    Fan, Jingfang
    Shekhtman, Louis M.
    Shai, Saray
    Du, Ruijin
    Tian, Lixin
    Chen, Xiaosong
    Stanley, H. Eugene
    Havlin, Shlomo
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2018, 115 (27) : 6911 - 6915
  • [10] Identifying the peak point of systemic risk in international crude oil importing trade
    Du, Ruijin
    Dong, Gaogao
    Tian, Lixin
    Wang, Yougui
    Zhao, Longfeng
    Zhang, Xin
    Vilela, Andre L. M.
    Stanley, H. Eugene
    [J]. ENERGY, 2019, 176 : 281 - 291