A target-oriented DEA model for regional construction productive efficiency improvement in China

2021 ◽  
Vol 47 ◽  
pp. 101208
Author(s):  
Ming Luo ◽  
Hongqin Fan ◽  
Guiwen Liu
2019 ◽  
Vol 27 (4) ◽  
pp. 952-974
Author(s):  
Ming Luo ◽  
HQ Fan ◽  
Guiwen Liu

Purpose As one of the pillar sectors, China’s construction industry (CE) is not efficient in productivity with large regional gaps over the past decades. It is crucial for stakeholders to have insightful information on regional input of resources and output of productive efficiency for making policies and investment decisions. The purpose of this paper is to develop an efficiency measurement for the CE and explore the regional differences of construction productive efficiency across the three regions of China. Design/methodology/approach Data envelopment analysis (DEA) is an objective benchmarking methodology used for measuring the performance of construction productivity. Distance friction minimization (DFM) approach, based on DEA model, is applied to identify the causes of inefficiency, sources of growth and the optimal paths to efficient frontier for regional CE. Further studies are conducted to provide insightful information for efficiency improvement, according to DFM modeling results and empirical analysis. Findings The results indicate that eastern region leads construction development due to strong performance of coastal provinces. Faced with decreasing supply of skilled workers in developed region, investing more on construction plants and equipment for labor savings is more efficient to the long-term productivity growth of CE in the east. For developing midland region, heavy reliance on cheap manpower should be gradually relieved by allocating more budgets to vocational training and education program to boost quality labor supply, as well as making steady investment on construction equipment and advanced technology. In underdeveloped western region, raising construction labor wages is recommended to attract more workers to meet the market demand and achieve an optimal production efficiency in the CE. Originality/value The findings provide insights into the causes of inefficiency, the sources of growth and the best strategies for efficiency improvement in regional CE, recommendations are made for policy making and strategic planning to enhance the overall performance of China’s construction productive efficiency.


2019 ◽  
Vol 248 ◽  
pp. 109261 ◽  
Author(s):  
Hirotaka Takayabu ◽  
Shigemi Kagawa ◽  
Hidemichi Fujii ◽  
Shunsuke Managi ◽  
Shogo Eguchi

Energies ◽  
2019 ◽  
Vol 12 (20) ◽  
pp. 3915 ◽  
Author(s):  
Nelson Amowine ◽  
Zhiqiang Ma ◽  
Mingxing Li ◽  
Zhixiang Zhou ◽  
Benjamin Azembila Asunka ◽  
...  

In Africa, energy plays an important role in the processes of economic and sustainable development. However, inefficiency such as mismanagement of resources constrains productivity. Prior energy efficiency studies in Africa have failed to provide the paths through which energy efficiency improvement can be achieved. The current study aims to assess energy efficiency improvement among 25 selected countries in Africa. First, the dynamic slack-based measure (DSBM) data envelopment analysis (DEA) model is applied to gauge the efficiency measurement. Further, the Malmquist productivity index (MPI) is employed to investigate the energy efficiency improvement during 2006–2014. Empirically, the results from the dynamic slack-based measure (DSBM) model show that energy efficiency in Africa is generally low. Also, the findings from the MPI suggest there is no significant improvement in energy efficiency in Africa. Based on the estimated results, some energy efficiency improvement strategies are further proposed for sample countries in Africa.


2014 ◽  
Vol 134 (8) ◽  
pp. 760-766 ◽  
Author(s):  
Yuta Sugiyama ◽  
Yuji Enomoto ◽  
Takao Imagawa ◽  
Hiromitsu Itabashi ◽  
Hirooki Tokoi

2015 ◽  
Vol 135 (3) ◽  
pp. 284-290 ◽  
Author(s):  
Yoshihiro Nakazawa ◽  
Kazuhiro Ohyama ◽  
Hiroaki Fujii ◽  
Hitoshi Uehara ◽  
Yasushi Hyakutake

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