Journal
JOURNAL OF CLEANER PRODUCTION
Volume 107, Issue -, Pages 509-515Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2014.04.082
Keywords
Data envelopment analysis; Malmquist productivity index; Chinese construction; Productivity; Efficiency; Energy
Categories
Funding
- National Natural Science Foundation of China (NSFC) [71271065, 71390522]
- Heilongjiang Province Natural Science Foundation [LC2012C18]
- Program for New Century Excellent Talents in University [NCET-11-0811]
- National 12th Five-Year Science & Technology Program, China [2011BAJ10B06, 2012BAJ19B04, 2014BAL05B06]
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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. (C) 2014 Elsevier Ltd. All rights reserved.
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