• Journal of Natural Resources
  • Vol. 35, Issue 11, 2687 (2020)
Peng PENG1、2, Shi-fen CHENG1、2, Shan-shan CHEN3, and Feng LU1、2、3、*
Author Affiliations
  • 1State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • 2University of Chinese Academy of Sciences Beijing 100049, China
  • 3The Academy of Digital China, Fuzhou University, Fuzhou 350002, China
  • show less
    DOI: 10.31497/zrzyxb.20201110 Cite this Article
    Peng PENG, Shi-fen CHENG, Shan-shan CHEN, Feng LU. Global liquefied petroleum gas trading communities: An analysis from the perspective of maritime transportation network[J]. Journal of Natural Resources, 2020, 35(11): 2687 Copy Citation Text show less
    References

    [1] NARULAK. Energy Trade: The Backbone of Sustainable Energy Security/The Maritime Dimension of Sustainable Energy Security[J]. Springer, Singapore, 73-93(2019).

    [2] BARIHAN, SRIVASTAVA VC, MISHRA IM. Theoretical and experimental studies on hazard analysis of LPG/LNG release: A review[J]. Reviews in Chemical Engineering, 33, 387-432(2017).

    [3] MCDADES. Fueling development: The role of LPG in poverty reduction and growth[J]. Energy for Sustainable Development, 8, 74-81(2004).

    [4] BOULTM. Risk management of LPG transport activities in Hong Kong[J]. Journal of Hazardous Materials, 71, 85-100(2000).

    [5] GUERSOLAM, ARNS STEINERM T, SCARPINC T. A methodology for minimizing LPG transportation impact[J]. Management of Environmental Quality: An International Journal, 28, 807-820(2017).

    [6] BAI XW, LAMJ S L. An integrated analysis of interrelationships within the very large gas carrier (VLGC) shipping market[J]. Maritime Economics & Logistics, 21, 372-389(2019).

    [7] 张远, 施圣瑜. 解析北美LPG 定价机制. 中国石化, 2016, (6):67-69. [ ZHANGY, SHI SY. Analysis of North American LPG pricing mechanism. China Petroleum and Chemical Industry, 2016, (6):67-69.] [ZHANG Y, SHI S Y. Analysis of North American LPG pricing mechanism. China Petroleum and Chemical Industry, 2016, (6): 67-69.]

    [8] LUCONO, COELHO ST, GOLDEMBERGJ. LPG in Brazil: Lessons and challenges[J]. Energy for Sustainable Development, 8, 82-90(2004).

    [9] TAN SH, BARTON PI. Optimal shale oil and gas investments in the United States[J]. Energy, 141, 398-422(2017).

    [10] 刘延青. 页岩气开发改变液化石油气(LPG)需求和贸易模式: 随着美国致密油和页岩气产量的不断增长, 美国从 LPG 净进口国转变为净出口国, 全球 LPG 贸易格局也随之发生巨大变化. 世界石油工业, 2014, (6):22-26. [ LIU YQ. Shale gas development changes Liquefied Petroleum Gas (LPG) demand and trade patterns: With the continuous increase of U. S. tight oil and shale gas production, the United States has changed from a net importer of LPG to a net exporter, and the global LPG trade pattern has followed Great changes. World Petroleum Industry, 2014, (6):22-26.] [LIU Y Q. Shale gas development changes Liquefied Petroleum Gas (LPG) demand and trade patterns: With the continuous increase of U. S. tight oil and shale gas production, the United States has changed from a net importer of LPG to a net exporter, and the global LPG trade pattern has followed Great changes. World Petroleum Industry, 2014, (6): 22-26.]

    [11] BAIX, LAMJ S L. A copula-GARCH approach for analyzing dynamic conditional dependency structure between liquefied petroleum gas freight rate, product price arbitrage and crude oil price[J]. Energy Economics, 78, 412-427(2019).

    [12] YANGY, POONJ P H, LIUY et al. Small and flat worlds: A complex network analysis of international trade in crude oil[J]. Energy, 93, 534-543(2015).

    [13] 刘立涛, 沈镭, 刘晓洁, 等. 基于复杂网络理论的中国石油流动格局及供应安全分析. 资源科学, 2017,39(8):1431-1443. [ LIU LT, CHENL, LIU XJ, et al. Spatial-temporal features of China's oil trade network and supply security simulation. Resources Science, 2017,39(8):1431-1443.] [LIU L T, CHEN L, LIU X J, et al. Spatial-temporal features of China's oil trade network and supply security simulation. Resources Science, 2017, 39(8): 1431-1443.]

    [14] YANGY, DONGW. Global energy networks: Insights from headquarter subsidiary data of transnational petroleum corporations[J]. Applied Geography, 72, 36-46(2016).

    [15] GUANQ, ANH, GAOX et al. Estimating potential trade links in the international crude oil trade: A link prediction approach[J]. Energy, 102, 406-415(2016).

    [16] FENGS, LIH, QIY et al. Who will build new trade relations? Finding potential relations in international liquefied natural gas trade[J]. Energy, 141, 1226-1238(2017).

    [17] CHENB, LI JS, WU XF et al. Global energy flows embodied in international trade: A combination of environmentally extended input-output analysis and complex network analysis[J]. Applied Energy, 210, 98-107(2018).

    [18] ZHONGW, ANH, SHENL et al. The roles of countries in the international fossil fuel trade: An emergy and network analysis[J]. Energy Policy, 100, 365-376(2017).

    [19] PENGP, YANGY, LUF et al. Modelling the competitiveness of the ports along the Maritime Silk Road with big data[J]. Transportation Research Part A: Policy and Practice, 118, 852-867(2018).

    [20] 王列辉, 林羽珊. 1895—2016 年全球海运网络中的海峡两岸港口运输联系变化. 地理学报, 2018,73(12):2282-2296. [ WANG LH, LIN YS. Changes of ports' connection across the Taiwan Straits in the global maritime network (1895-2016). Acta Geographica Sinica, 2018,73(12):2282-2296.] [WANG L H, LIN Y S. Changes of ports' connection across the Taiwan Straits in the global maritime network (1895-2016). Acta Geographica Sinica, 2018, 73(12): 2282-2296.]

    [21] KALUZAP, K?LZSCHA, GASTNERM T et al. The complex network of global cargo ship movements[J]. Journal of the Royal Society Interface, 7, 1093-1103(2010).

    [22] 彭澎, 程诗奋, 刘希亮, 等. 全球海洋运输网络健壮性评估. 地理学报, 2017,72(12):2241-2251. [ PENGP, CHENG SF, LIU XL, et al. The robustness evaluation of global maritime transportation networks. Acta Geographica Sinica, 2017,72(12):2241-2251.] [PENG P, CHENG S F, LIU X L, et al. The robustness evaluation of global maritime transportation networks. Acta Geographica Sinica, 2017, 72(12): 2241-2251.]

    [23] PENGP, CHENG SF, CHEN JH et al. A fine-grained perspective on the robustness of global cargo ship transportation networks[J]. Journal of Geographical Sciences, 28, 881-889(2018).

    [24] 陈闪闪, 彭澎, 陆锋, 等. 海洋主航道对全球集装箱运输网络的影响分析. 地理研究, 2019,38(9):2273-2287. [ CHEN SS, PENGP, LUF, et al. Influence of the main channels on global container ship network. Geographical Research, 2019,38(9):2273-2287.] [CHEN S S, PENG P, LU F, et al. Influence of the main channels on global container ship network. Geographical Research, 2019, 38(9): 2273-2287.]

    [25] 余红楚, 方志祥, 陆锋, 等. 重要经济发展区域间海运网络时空演变特性分析. 地球信息科学学报, 2018,20(5):582-592. [ YU HC, FANG ZX, LUF, et al. Spatial-temporal evolution patterns of maritime networks between important economic developing zones revealed. Journal of Geo-Information Science, 2018,20(5):582-592.] [YU H C, FANG Z X, LU F, et al. Spatial-temporal evolution patterns of maritime networks between important economic developing zones revealed. Journal of Geo-Information Science, 2018, 20(5): 582-592.]

    [26] PENGP, YANGY, CHENG SF et al. Hub-and-spoke structure: Characterizing the global crude oil transport network with mass vessel trajectories[J]. Energy, 168, 966-974(2019).

    [27] YU HC, FANG ZX, LUF et al. Impact of oil price fluctuations on tanker maritime network structure and traffic flow changes[J]. Applied Eenergy, 237, 390-403(2019).

    [28] BLONDEL VD, GUILLAUME JL, LAMBIOTTER et al. Fast unfolding of communities in large networks[J]. Journal of Statistical Mechanics: Theory and Experiment, 2008, P10008(2008).

    [29] NEWMAN M EJ, GIRVANM. Finding and evaluating community structure in networks[J]. Physical Review E, 69, 026113(2004). https://journals.aps.org/pre/abstract/10.1103/PhysRevE.69.026113

    [30] NEWMAN M EJ. Modularity and community structure in networks[J]. PNAS, 103, 8577-8582(2006).

    [31] PENGP, POONJ P H, YANGY et al. Global oil traffic network and diffusion of influence among ports using real time data[J]. Energy, 172, 333-342(2019).

    Peng PENG, Shi-fen CHENG, Shan-shan CHEN, Feng LU. Global liquefied petroleum gas trading communities: An analysis from the perspective of maritime transportation network[J]. Journal of Natural Resources, 2020, 35(11): 2687
    Download Citation