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Exploring temporal and spatial evolution of global energy production and consumption

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  • Wang, Wenwen
  • Zhang, Ming
  • Li, Peng

Abstract

The purpose of this paper is to use a center of gravity theory to study the spatial distribution and centers of gravity for the global energy supply and consumption and to determine how they have changed over time. In 2011, Middle East was the biggest oil producer and Asia Pacific was the biggest oil consumer; Europe and Eurasia was the biggest natural gas producer and consumer; Asia Pacific was the biggest coal producer and consumer. The center of gravity for oil production is an overall movement towards the northeast. Compared with the shift of the center of gravity for crude oil production, that for oil consumption is an overall movement towards the southeast. The center of gravity for natural gas production and consumption moved towards the east. Our results also show that the center of gravity for coal production is an overall movement towards the southeast.

Suggested Citation

  • Wang, Wenwen & Zhang, Ming & Li, Peng, 2014. "Exploring temporal and spatial evolution of global energy production and consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 943-949.
    • Handle: RePEc:eee:rensus:v:30:y:2014:i:c:p:943-949
    DOI: 10.1016/j.rser.2013.11.027
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    References listed on IDEAS

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    Citations

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    Cited by:

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    2. Song, Yunting & Wang, Nuo & Yu, Anqi, 2019. "Temporal and spatial evolution of global iron ore supply-demand and trade structure," Resources Policy, Elsevier, vol. 64(C).
    3. Li, Weilong & Han, Mengyao, 2023. "Mapping renewable energy transition worldwide: Gravity trajectory, contribution decomposition and income levels," Renewable Energy, Elsevier, vol. 206(C), pages 1265-1274.
    4. Han, Mengyao & Li, Weilong, 2024. "Tele-connecting renewable energy availability from production to consumption via multi-national supply chains," Renewable Energy, Elsevier, vol. 227(C).
    5. Wenwen Wang & Ming Zhang, 2015. "Direct and indirect energy consumption of rural households in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(3), pages 1693-1705, December.
    6. Bilgen, S., 2014. "Structure and environmental impact of global energy consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 890-902.
    7. Dey, Subhashish & Sreenivasulu, Anduri & Veerendra, G.T.N. & Rao, K. Venkateswara & Babu, P.S.S. Anjaneya, 2022. "Renewable energy present status and future potentials in India: An overview," Innovation and Green Development, Elsevier, vol. 1(1).
    8. Long, Yin & Yoshida, Yoshikuni & Fang, Kai & Zhang, Haoran & Dhondt, Maya, 2019. "City-level household carbon footprint from purchaser point of view by a modified input-output model," Applied Energy, Elsevier, vol. 236(C), pages 379-387.
    9. Song, Yan & Zhang, Ming, 2019. "Research on the gravity movement and mitigation potential of Asia's carbon dioxide emissions," Energy, Elsevier, vol. 170(C), pages 31-39.
    10. Hu, Yuan & Peng, Ling & Li, Xiang & Yao, Xiaojing & Lin, Hui & Chi, Tianhe, 2018. "A novel evolution tree for analyzing the global energy consumption structure," Energy, Elsevier, vol. 147(C), pages 1177-1187.
    11. Ming Zhang & Qing Xia & Wenwen Wang & Min Zhou, 2014. "Study on temporal and spatial evolution of China’s oil supply and consumption," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 72(2), pages 809-825, June.
    12. Tao Lv & Duyang Pi & Xu Deng & Xiaoran Hou & Jie Xu & Liya Wang, 2022. "Spatiotemporal Evolution and Influencing Factors of Electricity Consumption in the Yangtze River Delta Region," Energies, MDPI, vol. 15(5), pages 1-12, February.

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