Exploring temporal and spatial evolution of global coal supply-demand and flow structure

被引：44

作者：

Song, Yunting ^{[1
]}

Wang, Nuo ^{[1
]}

机构：

[1] Dalian Maritime Univ, Sch Transportat Engn, Dalian 116026, Peoples R China

来源：

ENERGY | 2019年 / 168卷

关键词：

Coal; Distribution; Supply-demand; Resource field theory; Transport; CHINA; TRADE;

D O I：

10.1016/j.energy.2018.11.144

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

This paper studies the temporal and spatial evolution of the flow structure of world coal resources in 1990-2016 and explores reasons of the evolution. From the perspective of the "resources field" theory, the coal flow from the sources of the flow field with high-potential to the destinations of the flow field with low-potential through intensive shipping routes. In 2016, the number of coal shipping routes increased significantly compared with 1990, and the transport volumes also increased significantly. The main factors that motivate coal resource flowing around the world are resource spatial distributions, supply-demand matching degrees, space distances, market factors and national policies etc. In the complex supply-demand structure of coal resources, establishing good rules and order for international coal trade and enhancing the reliability and smoothness of maritime transportation corridors is very important for the maintenance of world economic security. (C) 2018 Elsevier Ltd. All rights reserved.

引用

页码：1073 / 1080

页数：8

共 23 条

[1] Application of gravity models with a fixed component in the international trade flows of coal, iron ore and crude oil [J].

Babri, Sahar ;

Jornsten, Kurt ;

Viertel, Michael .

MARITIME ECONOMICS & LOGISTICS, 2017, 19 (02) :334-351

[2]

BP, 2017, STAT REV WORLD EN

[3] The evolution of hard coal trade in the Pacific market [J].

Ekawan, R ;

Duchêne, M ;

Goetz, D .

ENERGY POLICY, 2006, 34 (14) :1853-1866

[4] The evolution of hard coal trade in the Atlantic market [J].

Ekawan, R ;

Duchene, M .

ENERGY POLICY, 2006, 34 (13) :1487-1498

[5] Forecasting China's total energy demand and its structure using ADL-MIDAS model [J].

He, Yongda ;

Lin, Boqiang .

ENERGY, 2018, 151 :420-429

[6] Estimating coal production peak and trends of coal imports in China [J].

Lin, Bo-qiang ;

Liu, Jiang-hua .

ENERGY POLICY, 2010, 38 (01) :512-519

[7] Optimization for China's coal flow based on matching supply and demand sides [J].

Liu, Feng ;

Lv, Tao ;

Sajid, Muhammad ;

Li, Xiaoxiao .

RESOURCES CONSERVATION AND RECYCLING, 2018, 129 :345-354

[8] Flow measurement system model with distributed resources [J].

Maric, I .

FLOW MEASUREMENT AND INSTRUMENTATION, 2001, 12 (04) :283-289

[9] Testing supply-side climate policies for the global steam coal marketcan they curb coal consumption? [J].

Mendelevitch, Roman .

CLIMATIC CHANGE, 2018, 150 (1-2) :57-72

[10] Forecasting coal production until 2100 [J].

Mohr, S. H. ;

Evans, G. M. .

FUEL, 2009, 88 (11) :2059-2067

← 1 2 3 →