ArticleScientific reports2025
Energy efficiency evaluation of construction projects using data envelopment analysis and Tobit regression.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- A novel belief-degree-based uncertain Tchebycheff norm DEA model for the case study of risks prioritizing in e-business projects.Scientific reports · 2026Article
- Industrial green transformation efficiency and its driving factors in resource-based cities: the case of the Yellow River Basin.Scientific reports · 2026Article
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9 authors.
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Abstract
Energy efficiency (EE) in the construction sector is crucial for sustainable development, particularly in emerging economies like Pakistan, where the industry accounts for a large share of energy consumption and environmental degradation. Despite its economic significance, Pakistan's construction sector suffers from inefficiencies in energy use, with limited comprehensive assessments to guide improvements. This research introduces a novel, integrated approach combining Data Envelopment Analysis (DEA) and Tobit regression to evaluate and enhance EE in construction projects. DEA was applied to data from 120 construction firms, revealing an average technical efficiency (TE) of 84.4%, pure technical efficiency (PTE) of 93.2%, and scale efficiency (SE) of 90.4%, highlighting notable inefficiencies. The Tobit regression analysis identifies key factors influencing EE, including contractor training, access to loans, experience, and project site distance. This dual-method framework not only measures EE but also provides actionable insights to address inefficiencies, offering practical implications for policymakers and industry stakeholders. The findings emphasize the need for targeted interventions, such as government-supported financing and contractor training programs, to promote energy-efficient practices in Pakistan's construction sector. This approach provides a replicable model for other developing economies seeking sustainable construction practices.
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