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Evaluating energy efficiency of public institutions in China

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  • Xu, Tong
  • Zhu, Chunyan
  • Shi, Longyu
  • Gao, Lijie
  • Zhang, Miao

Abstract

Public institutions play a prominent role in energy conservation efforts, not only by effectively promoting the application of new energy-saving technologies and products, but also by serving as an example to society. In this study, we established a system for evaluating energy management performance based on energy consumption of the People's Bank of China from 2011 to 2014. The decision-making unit was divided into four climatic regions, and the pure technical efficiencies of 336 branches of the People's Bank of China were obtained using data envelopment analysis, which somewhat overcomes the shortcomings of traditional methods for evaluating energy management performance. In addition, we used exploratory spatial analysis to reveal the spatial-temporal evolution, spatial patterns, and spatial agglomeration characteristics of energy consumption. The number of branches with optimal energy efficiency was the highest in the moderate climate region and lowest in cold regions. The performance of each branch was influenced by that of surrounding branches, and branches with high–high agglomeration mainly were located in the northwest and the northeast of China. Based on the evaluation, suggestions for improving the energy management performance of public institutions were provided.

Suggested Citation

  • Xu, Tong & Zhu, Chunyan & Shi, Longyu & Gao, Lijie & Zhang, Miao, 2017. "Evaluating energy efficiency of public institutions in China," Resources, Conservation & Recycling, Elsevier, vol. 125(C), pages 17-24.
  • Handle: RePEc:eee:recore:v:125:y:2017:i:c:p:17-24
    DOI: 10.1016/j.resconrec.2017.05.008
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    as
    1. R Ramanathan, 2005. "Estimating energy consumption of transport modes in India using DEA and application to energy and environmental policy," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(6), pages 732-737, June.
    2. Bian, Yiwen & Yan, Shuai & Xu, Hao, 2014. "Efficiency evaluation for regional urban water use and wastewater decontamination systems in China: A DEA approach," Resources, Conservation & Recycling, Elsevier, vol. 83(C), pages 15-23.
    3. Yu, Yu & Wang, Derek D. & Li, Shanling & Shi, Qinfen, 2016. "Assessment of U.S. firm-level climate change performance and strategy," Energy Policy, Elsevier, vol. 92(C), pages 432-443.
    4. Liu, Xue & Ma, Shoufeng & Tian, Junfang & Jia, Ning & Li, Geng, 2015. "A system dynamics approach to scenario analysis for urban passenger transport energy consumption and CO2 emissions: A case study of Beijing," Energy Policy, Elsevier, vol. 85(C), pages 253-270.
    5. Tang, Xu & Li, Chunyan & Hu, Shiyuan & Liu, Yaolin & Geng, Hong, 2016. "Evaluating extended land consumption in building life cycle to improve land conservation: A case study in Shenyang, China," Resources, Conservation & Recycling, Elsevier, vol. 109(C), pages 78-89.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    7. Zhou, P. & Ang, B.W. & Poh, K.L., 2006. "Slacks-based efficiency measures for modeling environmental performance," Ecological Economics, Elsevier, vol. 60(1), pages 111-118, November.
    8. Wu, Jie & Zhu, Qingyuan & Liang, Liang, 2016. "CO2 emissions and energy intensity reduction allocation over provincial industrial sectors in China," Applied Energy, Elsevier, vol. 166(C), pages 282-291.
    9. Duygun, Meryem & Prior, Diego & Shaban, Mohamed & Tortosa-Ausina, Emili, 2016. "Disentangling the European airlines efficiency puzzle: A network data envelopment analysis approach," Omega, Elsevier, vol. 60(C), pages 2-14.
    10. Honma, Satoshi & Hu, Jin-Li, 2014. "Industry-level total-factor energy efficiency in developed countries: A Japan-centered analysis," Applied Energy, Elsevier, vol. 119(C), pages 67-78.
    11. Zhao, Jing & Wu, Yong & Zhu, Neng, 2009. "Check and evaluation system on heat metering and energy efficiency retrofit of existing residential buildings in northern heating areas of china based on multi-index comprehensive evaluation method," Energy Policy, Elsevier, vol. 37(6), pages 2124-2130, June.
    12. Saranga, Haritha & Moser, Roger, 2010. "Performance evaluation of purchasing and supply management using value chain DEA approach," European Journal of Operational Research, Elsevier, vol. 207(1), pages 197-205, November.
    13. Ramanathan, Ramakrishnan, 2005. "An analysis of energy consumption and carbon dioxide emissions in countries of the Middle East and North Africa," Energy, Elsevier, vol. 30(15), pages 2831-2842.
    14. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    15. Schefczyk, Michael, 1993. "Industrial benchmarking: A case study of performance analysis techniques," International Journal of Production Economics, Elsevier, vol. 32(1), pages 1-11, August.
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