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

Hui He (), Albert P. C. Chan and Qinghua He
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Hui He: The Hong Kong Polytechnic University
Albert P. C. Chan: The Hong Kong Polytechnic University
Qinghua He: Tongji University

A chapter in Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate, 2023, pp 353-365 from Springer

Abstract: 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.

Keywords: Carbon emission; Energy-saving service companies (ESCOs); Optimal scale; SE-SBM model (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-99-3626-7_28

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DOI: 10.1007/978-981-99-3626-7_28

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