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• W2074876183 abstract "The energy conservation has become a considerable issue in construction industry for achieving sustainable development. Therefore it is crucial for policy-makers to look for optimized and flexible tools to measure the total energy consumption efficiency in construction industry. Data envelopment analysis (DEA) can be applied for multiple input and output decision-making units (DMUs) productivity measurement. DEA-based Malmquist productivity index (MPI) can be used as a tool for measuring the productivity change longitudinally. In this paper, we use input-oriented model to measure the energy consumption productivity change of the construction industry from 2004 to 2009 with data in 26 provinces of China. It is found that only Guangdong demonstrated effective energy improving in the whole reference period. It also identified the regional groups always lie on the efficiency frontier of energy consumption as benchmarks. Regional analysis shows that energy conservation gaps exist between northeastern, western region and central, eastern region. DEA-based Malmquist productivity index provides a good way to measure the energy consumption efficiency and can help policy-makers to improve strategies of sustainable development in China." @default.
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• W2074876183 date "2015-11-01" @default.
• W2074876183 modified "2023-10-16" @default.
• W2074876183 title "Measuring energy consumption efficiency of the construction industry: the case of China" @default.
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• W2074876183 doi "https://doi.org/10.1016/j.jclepro.2014.04.082" @default.
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