Measuring the Energy Consumption Efficiency of the Construction Industry in China
It is known that data envelopment analysis (DEA) can be applied for multiple input and output decision-making units (DMUs) productivity measuring. And DEA-based Malmquist productivity index (MPI) can be used as a tool for measuring the productivity change during different time periods. In this paper, we use input-oriented model to measure the energy consumption productivity change of construction from 2004 to 2009 with 4 regions in China as DMUs. In the applying results, there is only central region experienced effective energy consumption in the whole reference period. It also shows that these sectors always lie on the efficiency frontier of energy consumption as benchmarks. On the other way, regional analysis shows that there are still gaps between northeastern, western region and central, eastern region. According to the analyzing results, we should not only focus on the efficiency. Because of the economy and industry sector development gap between different regions, in some extent, we should combine efficiency, the change of efficiency and regional economy level. DEA-based Malmquist productivity index provide a good way to measure the energy consumption and can give information to the policy-makers to promote the strategy of sustainable development in China.
data envelopment analysis Malmquist productivity index construction productivity efficiency
Chang SU Xiaolong XUE
Department of Construction and Real Estate, HarbinInstitute of Technology, Harbin, China 150001 Department of Construction and Real Estate, Harbin Institute of Technology, Harbin, China 150001
国际会议
2011 International Conference on Construction & Real Estate Management(2011建设与房地产管理国际会议)
广州
英文
394-398
2011-11-19（万方平台首次上网日期，不代表论文的发表时间）