世界天然气流动节点格局演化及其资源效应

doi:10.18402/resci.2020.08.16

Abstract

Abstract:

Research on the evolution of the global pattern of natural gas flow nodes and the resource effect have important guiding significance for the scientific formulation of China’s natural gas development strategy. This study used the standard deviation ellipse (SDE) method to analyze the spatial pattern characteristics of export and import nodes, and then reveal the resource effect of pattern change. The following conclusions are drawn from the research: (1) The supply and demand nodes of natural gas in the world are moving eastward. The development of pipeline natural gas (PNG) export nodes in the east-west direction is gradually enhanced, and the nodes distribution gravity center shows a trend of eastward movement; the liquefied natural gas (LNG) export nodes distribution in the east-west and north-south directions shows a trend of dispersion, and the gravity center shows a significant northwest-southeast movement. (2) The PNG import nodes show a significant eastward movement, and the east-west direction of import nodes distribution has been continuously strengthened; the LNG import nodes have moved eastward as a whole and are centralized. (3) The high flow density areas of natural gas in the world are mainly concentrated in the Eurasian continent and its coastal countries, and the flow network shows the characteristics of key node control. The PNG mainly flows in the east-west direction, and the LNG flow direction is more complex. (4) With the continuous change of the spatial pattern of global natural gas flow nodes, a series of changes will take place in natural gas competition, communication relationships, and resource governance systems. China should speed up the shale gas industry revolution, continue to promote the diversification of overseas natural gas supply, contribute to the planning of international natural gas channels, strengthen the construction of Asia’s natural gas trade hubs and financial centers, and enhance China’s position in global natural gas governance.

Key words: pipeline natural gas, liquefied natural gas, resource flow node, spatial pattern of nodes, standard deviation ellipse, resource effect, natural gas resource management

WANG Yiqiang, ZHAO Yuan. Evolution of the global pattern of natural gas flow nodes and its resource effect[J].Resources Science, 2020, 42(8): 1630-1642.

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References 20

[1]	BP. BP世界能源统计年鉴(2007-2019)[EB/OL]. (2019-07-30)[2019-12-13]. https://www.bp.com/zh_cn/china/home/news/reports/statistical-review-2019.html.
	[BP. BP World Energy Statistics Yearbook (2007-2019)[EB/OL]. (2019-07-30)[2019-12-13]. https://www.bp.com/zh_cn/china/home/news/reports/statistical-review-2019.html. ]
[2]	成升魁, 闵庆文, 闫丽珍. 从静态的断面分析到动态的过程评价: 兼论资源流动的研究内容与方法[J]. 自然资源学报, 2005,20(3):407-414.
	[ Cheng S K, Min Q W, Yan L Z. From static assessment to dynamic processing: Resources flow and its contents and methods[J]. Journal of Natural Resources, 2005,20(3):407-414.]
[3]	沈镭, 刘晓洁. 资源流研究的理论与方法探析[J]. 资源科学, 2006,28(3):9-16.
	[ Shen L, Liu X J. Discussion on theories and methods of resources flow[J]. Resources Science, 2006,28(3):9-16.]
[4]	成升魁, 沈镭, 闵庆文, 等. 资源科学研究的新视角: 自然资源流动过程的研究[J]. 资源科学, 2006,28(2):199-200.
	[ Cheng S K, Shen L, Min Q W, et al. New views on resources science: Study on natural resources flow processing[J]. Resources Science, 2006,28(2):199-200.]
[5]	马杰. 大国博弈下的天然气贸易态势及中国对策分析[J]. 江西社会科学, 2018, (11):62-67.
	[ Ma J. Natural gas trade situation and China’s countermeasures under superpower games[J]. Jiangxi Social Sciences, 2018, (11):62-67.]
[6]	Chen Z H, An H Z, Gao X Y, et al. Competition pattern of the global liquefied natural gas (LNG) trade by network analysis[J]. Journal of Natural Gas Science and Engineering, 2016,33(7):769-776.
[7]	刘劲松. 基于社会网络分析的世界天然气贸易格局演化[J]. 经济地理, 2016,36(12):89-95.
	[ Liu J S. Evolution of world natural gas trade pattern based on social network analysis[J]. Economic Geography, 2016,36(12):89-95.]
[8]	马远, 徐俐俐. “一带一路”沿线国家天然气贸易网络结构及影响因素[J]. 世界经济研究, 2017, (3):109-122.
	[ Ma Y, Xu L L. Network structure and influence factors of gas trade about the countries along“the Belt and Road”[J]. World Economy Studies, 2017, (3):109-122.]
[9]	沈镭, 刘立涛, 高天明, 等. 中国能源资源的数量、流动与功能分区[J]. 资源科学, 2012,34(9):1611-1621.
	[ Shen L, Liu L T, Gao T M, et al. The quantity, flow and functional zoning of energy resources in China[J]. Resources Science, 2012,34(9):1611-1621.]
[10]	张新林, 赵媛, 许昕, 等. 中国天然气资源流动优势度时空演变特征[J]. 地理研究, 2016,35(8):1457-1469.
	[ Zhang X L, Zhao Y, Xu X, et al. Analysis of temporal and spatial evolution pattern of gas flow superiority in China[J]. Geographical Research, 2016,35(8):1457-1469.]
[11]	王宜强, 朱明博, 赵媛. 中国天然气流动体系及其动态变化特征[J]. 世界地理研究, 2019,28(5):153-164.
	[ Wang Y Q, Zhu M B, Zhao Y. Scale system and dynamic change characteristics of natural gas flow in China[J]. World Regional Studies, 2019,28(5):153-164.]
[12]	王宁, 桑广书. 中国天然气进口的空间格局分析[J]. 世界地理研究, 2010,19(2):148-154.
	[ Wang N, Sang G S. The analysis of China’s natural gas imports spatial pattern[J]. World Regional Studies, 2010,19(2):148-154.]
[13]	肖建忠, 赵银玲. 中国液化天然气进口流量与贸易潜力: 基于贸易引力模型[J]. 北京理工大学学报(社会科学版), 2016,18(5):16-23.
	[ Xiao J Z, Zhao Y L. The analysis of LNG import flow and trade potential of China: Based on trade gravity model research[J]. Journal of Beijing Institute of Technology (Social Sciences Edition), 2016,18(5):16-23.]
[14]	孙聆轩, 吴晓明, 李建平, 等. 中国天然气进口空间格局演进及优化路径[J]. 天然气工业, 2016,36(2):125-130.
	[ Sun L X, Wu X M, Li J P, et al. Evolution and optimization of China’s natural gas import spatial framework[J]. Natural Gas Industry, 2016,36(2):125-130.]
[15]	陈晓鹏, 成升魁, 吴良. 中亚主要能源出口国地缘政治风险的度量与评价[J]. 资源科学, 2018,40(4):773-783.
	[ Chen X P, Cheng S K, Wu L. Quantitative measurement and evaluation of geopolitical risks confronting Central Asian major energy exporting countries[J]. Resources Science, 2018,40(4):773-783.]
[16]	郝洪昌, 邢万里. 中日韩印天然气贸易多元化和竞争关系研究[J]. 中国矿业, 2019,28(11):1-8.
	[ Hao H C, Xing W L. Research on diversification and competition relationship among China, Japan, Korea and India[J]. China Mining Magazine, 2019,28(11):1-8.]
[17]	王宜强, 赵媛. 碳基能源资源流动节点的确定及其研究内容[J]. 资源科学, 2018,40(7):1459-1472.
	[ Wang Y Q, Zhao Y. Nodal study of carbon-based energy resources flow[J]. Resources Science, 2018,40(7):1459-1472.]
[18]	Paul H F. A note on Lefever’s“standard deviational ellipse”[J]. American Journal of Sociology, 1927,33(1):94-98.
[19]	Benjamin K S, Ann F. Examining the complications of global energy governance[J]. Journal of Energy & Natural Resources Law, 2012,30(3):235-263.
[20]	徐铭辰. 全球天然气治理话语权与中国的对策分析[J]. 东北亚论坛, 2018,27(3):24-35.
	[ Xu M C. On the discourse power of global gas governance and China’s countermeasures[J]. Northeast Asia Forum, 2018,27(3):24-35.]

年份	管道天然气输流节点标准差椭圆				液化天然气输流节点标准差椭圆
年份	沿X轴标准差/km	沿Y轴标准差/km	扁率/km	转角/°	沿X轴标准差/km	沿Y轴标准差/km	扁率/km	转角/°
2006	10414.71	2761.99	7652.73	88.28	8457.77	1661.08	6796.69	100.48
2007	10555.81	2484.11	7652.73	89.29	8337.24	1720.05	6617.19	100.20
2008	10353.60	2641.25	7712.35	89.57	8205.97	1859.39	6346.58	100.48
2009	10114.44	2612.27	7502.17	89.66	8163.01	2343.06	5819.95	100.15
2010	2713.20	10078.61	7365.41	90.17	7918.98	2577.70	5341.28	98.86
2011	10406.45	2564.49	7365.41	89.14	7695.00	2558.90	5136.10	97.79
2012	10375.99	2565.21	7810.78	88.94	7467.91	2548.18	4919.73	97.91
2013	10425.11	2541.04	7810.78	88.38	7600.16	2632.06	4968.10	97.64
2014	10305.73	2623.00	7682.73	88.87	7786.83	2683.17	5103.66	98.18
2015	10415.64	2619.96	7795.68	88.83	7926.00	2707.20	5218.80	100.27
2016	10502.13	2541.78	7960.35	88.77	8451.08	2764.10	5686.98	102.30
2017	10671.18	2471.41	8199.77	88.43	9548.89	2742.43	6806.46	102.79
2018	10654.50	2436.27	8218.23	88.41	10286.12	2966.04	7320.08	102.93

年份	管道天然气汇流节点标准差椭圆				液化天然气汇流节点标准差椭圆
年份	沿X轴标准差/km	沿Y轴标准差/km	扁率/km	转角/°	沿X轴标准差/km	沿Y轴标准差/km	扁率/km	转角/°
2006	7911.50	2117.23	5794.27	90.00	11431.57	777.00	10654.57	92.25
2007	8103.50	1940.67	6162.84	91.07	11938.70	789.73	11148.97	91.95
2008	8022.61	1820.70	6201.91	92.05	10675.36	906.56	9768.80	91.06
2009	8405.10	2068.47	6336.62	90.58	11141.72	1312.91	9828.82	91.33
2010	8568.67	2222.12	6346.54	92.17	11141.34	1820.83	9320.51	89.98
2011	8901.03	2305.38	6595.66	92.39	10631.85	2045.73	8586.12	89.94
2012	8900.54	2342.60	6557.94	92.09	9972.259	2070.66	7901.60	87.23
2013	8779.82	2240.61	6539.21	91.58	9913.99	2121.09	7792.90	84.87
2014	8924.91	2428.43	6496.47	91.68	9931.07	2112.19	7818.88	84.45
2015	8733.08	2365.05	6368.04	91.41	9715.28	2138.51	7576.77	84.89
2016	8914.41	2316.50	6597.91	90.46	9163.36	2019.01	7144.35	85.49
2017	8889.89	2263.25	6626.64	90.09	8720.93	1882.16	6838.77	85.84
2018	9263.05	2232.01	7031.04	89.51	8433.98	1774.84	6659.13	86.33

Evolution of the global pattern of natural gas flow nodes and its resource effect

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