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2023 | OriginalPaper | Buchkapitel

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

verfasst von : Hui He, Albert P. C. Chan, Qinghua He

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

Verlag: Springer Nature Singapore

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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.

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Titel: Optimizing Efficiency of Energy-Saving Service Industry Based on SE-SBM Model
verfasst von: Hui He
Albert P. C. Chan
Qinghua He
Verlag: Springer Nature Singapore
Buch: Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate
Print ISBN: 978-981-9936-25-0

Electronic ISBN: 978-981-9936-26-7

Copyright-Jahr: 2023
DOI: https://doi.org/10.1007/978-981-99-3626-7_28

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