The Economy and Enterprise Development Institute, Sichuan University, Chengdu, 610065, China.
Business School, Sichuan University, Chengdu, 610065, China.
Environ Sci Pollut Res Int. 2021 Apr;28(13):15838-15852. doi: 10.1007/s11356-020-11632-z. Epub 2020 Nov 26.
As the construction industry generates more than 30% of global greenhouse gases and more than 40% of global urban waste every year, energy conservation and emission reduction has become extremely important. This study proposes an innovative output system that includes undesirable carbon dioxide and construction waste outputs. A three-stage DEA-Malmquist model is used to measure the energy efficiency of the construction industry in 30 Chinese provinces from 2008 to 2017, and a stochastic frontier method is used in the second stage to analyze and remove the energy efficiency influences of environmental factors and random errors. It was found that the total factor energy efficiency change (TFEECH) and technology change (TECH) in China's construction industry was underestimated because of the environmental factors and random errors. GRP per capita, energy consumption structures, industrial development degrees, and industrial concentrations were all found to play a positive role in improving energy efficiency; however, urbanization levels, technical equipment, policy support, and marketization were found to have a negative effect. Policy suggestions are given based on the empirical results.
由于建筑行业每年产生的温室气体占全球总量的 30%以上，产生的城市废弃物占全球总量的 40%以上，因此节能降碳变得极其重要。本研究提出了一个创新的产出系统，其中包括不可取的二氧化碳和建筑废弃物产出。利用三阶段 DEA-Malmquist 模型，对 2008 年至 2017 年中国 30 个省份的建筑行业能源效率进行了测算，并在第二阶段利用随机前沿方法对环境因素和随机误差的能源效率影响进行了分析和剔除。结果表明，由于环境因素和随机误差的存在，中国建筑行业的全要素能源效率变化（TFEECH）和技术变化（TECH）被低估了。人均生产总值、能源消费结构、产业发展程度和产业集聚度都被发现对提高能源效率起到了积极的作用；然而，城市化水平、技术装备、政策支持和市场化程度则被发现对能源效率产生了负面影响。根据实证结果，给出了政策建议。
