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Allometric scaling of countries

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  • Zhang, Jiang
  • Yu, Tongkui

Abstract

As huge complex systems consisting of geographic regions, natural resources, people and economic entities, countries follow the allometric scaling law which is ubiquitous in ecological, and urban systems. We systematically investigated the allometric scaling relationships between a large number of macroscopic properties and geographic (area), demographic (population) and economic (GDP, gross domestic production) sizes of countries respectively. We found that most of the economic, trade, energy consumption, communication related properties have significant super-linear (the exponent is larger than 1) or nearly linear allometric scaling relations with the GDP. Meanwhile, the geographic (arable area, natural resources, etc.), demographic (labor force, military age population, etc.) and transportation-related properties (road length, airports) have significant and sub-linear (the exponent is smaller than 1) allometric scaling relations with area. Several differences of power law relations with respect to the population between countries and cities were pointed out. First, population increases sub-linearly with area in countries. Second, the GDP increases linearly in countries but not super-linearly as in cities. Finally, electricity or oil consumption per capita increases with population faster than cities.

Suggested Citation

  • Zhang, Jiang & Yu, Tongkui, 2010. "Allometric scaling of countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4887-4896.
  • Handle: RePEc:eee:phsmap:v:389:y:2010:i:21:p:4887-4896
    DOI: 10.1016/j.physa.2010.06.059
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    References listed on IDEAS

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    Cited by:

    1. Lunchao Hu & Kailan Tian & Xin Wang & Jiang Zhang, 2011. "The "S" Curve Relationship between Export Diversity and Economic Size of Countries," Papers 1105.5891, arXiv.org.
    2. Hu, Lunchao & Tian, Kailan & Wang, Xin & Zhang, Jiang, 2012. "The “S” curve relationship between export diversity and economic size of countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(3), pages 731-739.
    3. Yao, Can-Zhong & Lin, Ji-Nan & Lin, Qing-Wen & Zheng, Xu-Zhou & Liu, Xiao-Feng, 2016. "A study of causality structure and dynamics in industrial electricity consumption based on Granger network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 297-320.
    4. Muneepeerakul, Rachata & Qubbaj, Murad R., 2012. "The effect of scaling and connection on the sustainability of a socio-economic resource system," Ecological Economics, Elsevier, vol. 77(C), pages 123-128.
    5. Watanabe, Hayafumi & Takayasu, Hideki & Takayasu, Misako, 2013. "Relations between allometric scalings and fluctuations in complex systems: The case of Japanese firms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(4), pages 741-756.
    6. Hongguang Dong & Menghui Li & Ru Liu & Chensheng Wu & Jinshan Wu, 2017. "Allometric scaling in scientific fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 583-594, July.
    7. Chen, Yanguang, 2017. "Multi-scaling allometric analysis for urban and regional development," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 673-689.
    8. Chen, Jihong & Fei, Yijie & Wan, Zheng & Yang, Zaili & Li, Haobo & Choi, Kyoung-Suk & Xie, Xiaoke, 2020. "Allometric relationship and development potential comparison of ports in a regional cluster: A case study of ports in the Pearl River Delta in China," Transport Policy, Elsevier, vol. 85(C), pages 80-90.
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    10. Saket Pande & Akshay Pandit, 2018. "Hydro-social metabolism: scaling of birth rate with regional water use," Palgrave Communications, Palgrave Macmillan, vol. 4(1), pages 1-9, December.

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