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An analysis of the costs of energy saving and CO2 mitigation in rural households in China

Author

Listed:
  • Weishi Zhang

    (Department of Geography and Resource Management & Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Hong Kong, China)

  • David I. Stern
  • Xianbing Liu
  • Wenjia Cai
  • Can Wang

Abstract

Households may imperfectly implement energy saving measures. This study identifies two factors resulting in imperfect use of energy-saving technology by households. First, households often continue to use old technologies alongside new ones, and, second, technologies have shorter actual lifetimes than their designed lifetimes. We take these factors into account when computing marginal energy conservation cost and marginal CO2 abatement cost using data collected from a survey of rural households in three provinces in China. The results show that most space heating technologies are cost negative and their marginal abatement cost under full implementation ranges from -60 to 15 USD/t-CO2, while the marginal abatement cost of cooking technologies ranges from 12 to 85 USD/t-CO2. The marginal abatement costs of the majority of technologiesincreased after accounting for the two implementation factors. The marginal abatement cost in the imperfect implementation scenario is higher, with a range of -1 to 15 USD/t-CO2 for space heating, and 18 to 165 USD/t-CO2 for cooking. Assuming implementation factors are constant until 2035, annually achievable CO2 mitigation by 2035 is estimated to be 57, 11, and 10 Mt-CO2/y in Hebei, Guizhou, and Guangxi Provinces, respectively.

Suggested Citation

  • Weishi Zhang & David I. Stern & Xianbing Liu & Wenjia Cai & Can Wang, 2017. "An analysis of the costs of energy saving and CO2 mitigation in rural households in China," CCEP Working Papers 1704, Centre for Climate & Energy Policy, Crawford School of Public Policy, The Australian National University.
  • Handle: RePEc:een:ccepwp:1704
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    File URL: https://ccep.crawford.anu.edu.au/files/uploads/ccep_crawford_anu_edu_au/2017-11/zhang_stern_liu_cai_wang_an_analysis_of_the_costs_of_energy_saving_and_co2_mitigation_in_rural_households_in_china_ccepwp1704.pdf
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    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Two New Working Papers
      by noreply@blogger.com (David Stern) in Stochastic Trend on 2017-03-23 06:25:00
    2. Annual Review 2017
      by noreply@blogger.com (David Stern) in Stochastic Trend on 2017-12-28 02:26:00

    Citations

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    Cited by:

    1. Chun-Hsi Vivian Chen & Yu-Cheng Chen, 2021. "Assessment of Enhancing Employee Engagement in Energy-Saving Behavior at Workplace: An Empirical Study," Sustainability, MDPI, vol. 13(5), pages 1-18, February.
    2. Cui, Yuanzheng & Zhang, Weishi & Wang, Can & Streets, David G. & Xu, Ying & Du, Mingxi & Lin, Jintai, 2019. "Spatiotemporal dynamics of CO2 emissions from central heating supply in the North China Plain over 2012–2016 due to natural gas usage," Applied Energy, Elsevier, vol. 241(C), pages 245-256.
    3. Lijun Zeng & Laijun Zhao & Qin Wang & Bingcheng Wang & Yuan Ma & Wei Cui & Yujing Xie, 2018. "Modeling Interprovincial Cooperative Energy Saving in China: An Electricity Utilization Perspective," Energies, MDPI, vol. 11(1), pages 1-25, January.
    4. Teng Ma & Silu Zhang & Yilong Xiao & Xiaorui Liu & Minghao Wang & Kai Wu & Guofeng Shen & Chen Huang & Yan Ru Fang & Yang Xie, 2023. "Costs and health benefits of the rural energy transition to carbon neutrality in China," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    5. Linlin Ye & Xiaodong Wu & Dandan Huang, 2020. "Industrial Energy-Related CO 2 Emissions and Their Driving Factors in the Yangtze River Economic Zone (China): An Extended LMDI Analysis from 2008 to 2016," IJERPH, MDPI, vol. 17(16), pages 1-13, August.
    6. Zhang, Weishi & Xu, Ying & Wang, Can & Streets, David G., 2022. "Assessment of the driving factors of CO2 mitigation costs of household biogas systems in China: A LMDI decomposition with cost analysis model," Renewable Energy, Elsevier, vol. 181(C), pages 978-989.
    7. Marcos García-López & Borja Montano & Joaquín Melgarejo, 2023. "The Influence of Photovoltaic Self-Consumption on Water Treatment Energy Costs: The Case of the Region of Valencia," Sustainability, MDPI, vol. 15(15), pages 1-21, July.
    8. Liu, Hongxun & Mauzerall, Denise L., 2020. "Costs of clean heating in China: Evidence from rural households in the Beijing-Tianjin-Hebei region," Energy Economics, Elsevier, vol. 90(C).

    More about this item

    Keywords

    Energy saving technology; cost estimation; rural households; China;
    All these keywords.

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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