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Optimizing Efficiency of Energy-Saving Service Industry Based on SE-SBM Model

In: Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Hui He

    (The Hong Kong Polytechnic University
    Tongji University)

  • Albert P. C. Chan

    (The Hong Kong Polytechnic University)

  • Qinghua He

    (Tongji University)

Abstract

China actively responds to climate change and promotes green and low-carbon economic development. The energy-saving service companies (ESCOs) are key forces in energy-saving emission reduction, which provides services such as energy-consumption diagnosis, design, financing, transformation, and operation management of energy-saving projects, especially construction projects. This study adopts a data envelopment analysis (DEA) model to calculate the optimal scale of the number of employees and investment of ESCOs that effectively influences the energy-saving efficiency of energy-saving service industry. The study found that the optimal scale of employees and investment of ESCOs under the average production level is 140 people and $3.6 million by comparing the super-efficiency value of the top three years (i.e., the years 2006, 2020, and 2007). Some policy suggestions are proposed to develop the energy-saving service industry.

Suggested Citation

  • Hui He & Albert P. C. Chan & Qinghua He, 2023. "Optimizing Efficiency of Energy-Saving Service Industry Based on SE-SBM Model," Lecture Notes in Operations Research, in: Jing Li & Weisheng Lu & Yi Peng & Hongping Yuan & Daikun Wang (ed.), Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate, pages 353-365, Springer.
    • Handle: RePEc:spr:lnopch:978-981-99-3626-7_28
    DOI: 10.1007/978-981-99-3626-7_28
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