Iqbal Muzaffar, Ma Junhai, Mushtaq Zulqarnain, Ahmad Naveed, Yousaf Muhammad Zain, Tarawneh Bashar, Khan Wajid, Pushkarna Mukesh, Zaitsev Ievgen
School of Maritime Economics and Management, Dalian Maritime University, Dalian, People's Republic of China.
College of Management and Economics, Tianjin University, Tianjin, People's Republic of China.
Sci Rep. 2025 Apr 3;15(1):11444. doi: 10.1038/s41598-025-90671-3.
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.
建筑行业的能源效率对于可持续发展至关重要，在巴基斯坦等新兴经济体尤为如此，该国该行业在能源消耗和环境退化中占很大比重。尽管具有经济重要性，但巴基斯坦建筑行业存在能源利用效率低下的问题，用于指导改进的综合评估有限。本研究引入了一种将数据包络分析（DEA）和托宾回归相结合的新颖综合方法，以评估和提高建筑项目的能源效率。DEA应用于120家建筑公司的数据，结果显示平均技术效率（TE）为84.4%，纯技术效率（PTE）为93.2%，规模效率（SE）为90.4%，突出了显著的低效率问题。托宾回归分析确定了影响能源效率的关键因素，包括承包商培训、贷款获取、经验和项目工地距离。这种双方法框架不仅衡量能源效率，还提供解决低效率问题的可操作见解，为政策制定者和行业利益相关者提供了实际启示。研究结果强调需要采取有针对性的干预措施，如政府支持的融资和承包商培训计划，以促进巴基斯坦建筑行业的节能实践。这种方法为其他寻求可持续建筑实践的发展中经济体提供了一个可复制的模式。
