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Estimating the energy saving potential of telecom operators in China

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  • Yang, Tian-Jian
  • Zhang, Yue-Jun
  • Huang, Jin
  • Peng, Ruo-Hong

Abstract

A set of models are employed to estimate the potential of total energy saved of productions and segmented energy saving for telecom operators in China. During the estimation, the total energy saving is divided into that by technology and management, which are derived from technical reform and progress, and management control measures and even marketing respectively, and the estimating methodologies for energy saving potential of each segment are elaborated. Empirical results from China Mobile indicate that, first, the technical advance in communications technology accounts for the largest proportion (70%–80%) of the total energy saved of productions in telecom sector of China. Second, technical reform brings about 20%–30% of the total energy saving. Third, the proportions of energy saving brought by marketing and control measures appear relatively smaller, just less than 3%. Therefore, China's telecom operators should seize the opportunity of the revolution of communications network techniques in recent years to create an advanced network with lower energy consumption.

Suggested Citation

  • Yang, Tian-Jian & Zhang, Yue-Jun & Huang, Jin & Peng, Ruo-Hong, 2013. "Estimating the energy saving potential of telecom operators in China," Energy Policy, Elsevier, vol. 61(C), pages 448-459.
    • Handle: RePEc:eee:enepol:v:61:y:2013:i:c:p:448-459
    DOI: 10.1016/j.enpol.2013.06.025
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    1. Lin, Boqiang & Wu, Ya & Zhang, Li, 2011. "Estimates of the potential for energy conservation in the Chinese steel industry," Energy Policy, Elsevier, vol. 39(6), pages 3680-3689, June.
    2. Dutta, Monica & Mukherjee, Saptarshi, 2010. "An outlook into energy consumption in large scale industries in India: The cases of steel, aluminium and cement," Energy Policy, Elsevier, vol. 38(11), pages 7286-7298, November.
    3. Li, Jun & Wang, Xin, 2012. "Energy and climate policy in China's twelfth five-year plan: A paradigm shift," Energy Policy, Elsevier, vol. 41(C), pages 519-528.
    4. Hong, Gui-Bing & Su, Te-Li & Lee, Jenq-Daw & Hsu, Tsung-Chi & Chen, Hua-Wei, 2010. "Energy conservation potential in Taiwanese textile industry," Energy Policy, Elsevier, vol. 38(11), pages 7048-7053, November.
    5. Yu, Jinglei & Williams, Eric & Ju, Meiting, 2010. "Analysis of material and energy consumption of mobile phones in China," Energy Policy, Elsevier, vol. 38(8), pages 4135-4141, August.
    6. Price, Lynn & Levine, Mark D. & Zhou, Nan & Fridley, David & Aden, Nathaniel & Lu, Hongyou & McNeil, Michael & Zheng, Nina & Qin, Yining & Yowargana, Ping, 2011. "Assessment of China's energy-saving and emission-reduction accomplishments and opportunities during the 11th Five Year Plan," Energy Policy, Elsevier, vol. 39(4), pages 2165-2178, April.
    7. Zhao, Jing & Zhu, Neng & Wu, Yong, 2009. "The analysis of energy consumption of a commercial building in Tianjin, China," Energy Policy, Elsevier, vol. 37(6), pages 2092-2097, June.
    8. Lin, Boqiang & Zhang, Li & Wu, Ya, 2012. "Evaluation of electricity saving potential in China's chemical industry based on cointegration," Energy Policy, Elsevier, vol. 44(C), pages 320-330.
    9. Sardianou, Eleni, 2007. "Estimating energy conservation patterns of Greek households," Energy Policy, Elsevier, vol. 35(7), pages 3778-3791, July.
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    Cited by:

    1. Yu, Shiwei & Agbemabiese, Lawrence & Zhang, Junjie, 2016. "Estimating the carbon abatement potential of economic sectors in China," Applied Energy, Elsevier, vol. 165(C), pages 107-118.
    2. Petraglia, Antonio & Spagnuolo, Antonio & Vetromile, Carmela & D'Onofrio, Antonio & Lubritto, Carmine, 2015. "Heat flows and energetic behavior of a telecommunication radio base station," Energy, Elsevier, vol. 89(C), pages 75-83.
    3. Yue-Jun Zhang & Yan-Lin Jin & Bo Shen, 2020. "Measuring the Energy Saving and CO2 Emissions Reduction Potential Under China’s Belt and Road Initiative," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1095-1116, April.
    4. Lu, Shibao & Jiang, Yue & Deng, Weisheng & Meng, Xu, 2023. "Energy and food production security under water resources regulation in the context of green development," Resources Policy, Elsevier, vol. 80(C).
    5. Fang Guo & Tao Zhao & Yanan Wang & Yue Wang, 2016. "Estimating the abatement potential of provincial carbon intensity based on the environmental learning curve model 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. 84(1), pages 685-705, October.
    6. Yang, Tian-Jian & Zhang, Yue-Jun & Tang, Su & Zhang, Jing, 2016. "How to assess and manage energy performance of numerous telecommunication base stations: Evidence in China," Applied Energy, Elsevier, vol. 164(C), pages 436-445.
    7. Yu, Yihua & Guo, Jin, 2016. "Identifying electricity-saving potential in rural China: Empirical evidence from a household survey," Energy Policy, Elsevier, vol. 94(C), pages 1-9.

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    More about this item

    Keywords

    Energy saving potential; Telecom operator; China;
    All these keywords.

    JEL classification:

    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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