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Model projections and policy reviews for energy saving in China's service sector

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  • Zhang, Lin

Abstract

Energy efficiency of buildings in the service sector is becoming increasingly important in China due to the structural shift of the economy from industry to services. This paper employs a bottom-up cohort model to simulate current energy saving policies and to make projections for future energy use and CO2 emissions for the period 2000–2030 in the Chinese service sector. The analysis shows that energy demand in the service sector will approximately triple in 2030, far beyond the target of quadrupling GDP while only doubling energy use. However, it is feasible to achieve the target of emission reduction by 40% in 2020 even under the poor state of compliance rate of building standard. This paper also highlights four crucial aspects of designing optimal energy saving policies for China's service sector based on the model results.

Suggested Citation

  • Zhang, Lin, 2013. "Model projections and policy reviews for energy saving in China's service sector," Energy Policy, Elsevier, vol. 59(C), pages 312-320.
    • Handle: RePEc:eee:enepol:v:59:y:2013:i:c:p:312-320
    DOI: 10.1016/j.enpol.2013.03.045
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    Cited by:

    1. Xiangzhao FENG & Oleg LUGOVOY & Sheng YAN & Hu QIN, 2016. "Co-Benefits of CO2 and NOx Emission Control in China’s Cement Industry," Chinese Journal of Urban and Environmental Studies (CJUES), World Scientific Publishing Co. Pte. Ltd., vol. 4(04), pages 1-20, December.
    2. Massimo Filippini & Lin Zhang, 2019. "Impacts of heat metering and efficiency retrofit policy on residential energy consumption in China," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 21(2), pages 203-216, April.
    3. Sheng, Weili & Zhang, Lin & Ridley, Ian, 2020. "The impact of minimum OTTV legislation on building energy consumption," Energy Policy, Elsevier, vol. 136(C).
    4. Hu, Bin & Li, Zhengtao & Zhang, Lin, 2019. "Long-run dynamics of sulphur dioxide emissions, economic growth and energy efficiency in China," MPRA Paper 94588, University Library of Munich, Germany.
    5. Vishal Chandr Jaunky and Lin Zhang, 2016. "Convergence of Operational Efficiency in Chinas Provincial Power Sectors," The Energy Journal, International Association for Energy Economics, vol. 0(China Spe).

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    More about this item

    Keywords

    Energy saving policy; Bottom-up; Service sector;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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