Study on Safety Production Efficiency of Construction Industry Based on Data Envelopment Analysis

Author(s):  
Yang Gaosheng ◽  
Liang Yuling
Water Policy ◽  
2018 ◽  
Vol 21 (1) ◽  
pp. 49-72 ◽  
Author(s):  
Jiazhong Zheng ◽  
Weiguang Wang ◽  
Dan Chen ◽  
Xinchun Cao ◽  
Wanqiu Xing ◽  
...  

Abstract A coordinated nexus of agricultural resources is vital to achieve food security and sustainable development in China. Comprehensively considering the water–energy–food nexus as well as the external environment, this study adopts a three-stage data envelopment analysis (DEA) modelling evaluation method to assess the agricultural production efficiency (APE) of seven provinces in the middle and lower reaches of the Yangtze River (MLYR) during 1996–2015. The results show that the three-stage DEA modelling evaluation method reveals real APE and is considered to be a better quantitative method than conventional approaches. A gradually widening range of APE is an important challenge for this region. Significantly, this region generates huge demands for agricultural resources. Moreover, regional emissions of greenhouse gases (GHG) decreased from 34.20 million tons standard coal in 1996 to 32.11 million tons standard coal in 2015, though APE has continued to decrease by 2.56% in the past two decades. In general, the management and technology levels should be improved simultaneously, even though specific opportunities for APE improvement vary across provinces in MLYR. However, understanding the temporal and spatial variation of APE along with the WEF nexus from a production-based insight is a vital step toward appropriately targeted policy making for nationwide resources savings and emissions reduction.


2017 ◽  
Vol 9 (4) ◽  
pp. 172 ◽  
Author(s):  
Sanaa Mohamed Aly Helal ◽  
Haga Abdelrahman Elimam

The study aimed to assess the efficiency of health services provided by the government hospitals in various districts of the Kingdom of Saudi Arabia. The number of beds at hospitals, doctors, nursing staff and paramedical categories were used as inputs for the model. The average productivity efficiency of government hospitals in the districts of the Kingdom of Saudi Arabia in 2014 was 92.3%; whereas, the average internal production efficiency of these districts in the provision of health services through their respective hospitals was 94.7%; and the average external productivity efficiency in the different cities of the districts in Kingdom of the Saudi Arabia was 97.5%. It has been found that the average overall productivity efficiency was 90.2%, concerning the relative efficiency indicators of government hospitals, which were based on the hospitals’ distribution of Saudi Arabian districts in 2006. An analysis of the indicator showed that the average production efficiency of the services provided (internally) by the districts of the Kingdom of Saudi Arabia was 94.7%, and that the average of the external production efficiency for such services was 95.4%. The Data Envelopment Analysis is a successful technique in measuring the performance efficiency of hospitals and it also assists to identify possible improvement and reduction in cost.


2013 ◽  
Vol 275-277 ◽  
pp. 2788-2792
Author(s):  
You Min Gao ◽  
Xiao Wen Wang

Construction industry is a main industry in national economy, Chinese construction industry has made huge achievement, but the developments between different provinces in China are imbalanced. To compare the different efficiencies between them, data envelopment analysis and an important extended means of DEA were introduced, compared and applied in empirical analysis of Chinese construction industry efficiency between different provinces based on statistical data. Then some conclusions and advices were reached in the end.


2017 ◽  
Vol 23 (6) ◽  
pp. 787-795 ◽  
Author(s):  
Joanicjusz NAZARKO ◽  
Ewa CHODAKOWSKA

The primary problems pertaining to productivity or – more precisely – efficiency are: how to define it and how to measure it. This article studies technical efficiency in Stochastic Frontier Analysis (SFA) – the input-oriented frontier model – in the construction industry and compares it with Data Envelopment Analysis (DEA) results. The models ex­plored in this paper were constructed on the basis of two outputs and personnel cost as an input. The research sample consisted of European countries. The aim was to determine whether there are substantial differences in estimation of ef­ficiency derived from those two alternative frontier approaches. The comparison of results according to the models may translate into higher reliability of the undertaken labour efficiency analysis in construction and its conclusions. Although the results are not characterized by high compatibility, the conducted analysis indicated the most attractive countries taking into account labour cost to profit and turnover ratios of enterprises. One of the determinants which should not be ignored when analysing the labour efficiency is the level of development of a country; however, it is not the sole factor affecting the efficiency of the sector.


Author(s):  
Lim Shun Jinn ◽  
Lam Weng Hoe ◽  
Lam Weng Siew

Construction industry contributes to the growth of economy in Malaysia. Therefore, efficiency is important to measure how well the construction company is performing in utilizing the resources to generate outcomes. The aim of this research is to evaluate the efficiency of the listed construction sectors companies in Malaysia with Data Envelopment Analysis model. In this study, BREM, DKLS, ECONBHD, HSL, KERJAYA, MELATI, MLGLOBAL, PTARAS, PUNCAK, SUNCON and ZECON are ranked as efficient companies which achieve 100% efficiency score. This study is significant because it helps to identify the efficient companies that serve as benchmark to other inefficient companies for further improvement.


2021 ◽  
Vol 5 (4) ◽  
pp. 1191-1205
Author(s):  
Ryan Winarso ◽  
◽  
Syafrial Syafrial ◽  
Wiwit Widyawati

Shallot has the highest production value in Indonesia. High production value indicates that shallot is an important commodity, therefore, its potential must be improved. Technical efficiency analysis can be used to measure production efficiency and possible input reduction to maximize the production potential of shallot. The chosen location for this research is Torongrejo Village Batu City, East Java. Shallot productivity value of Batu City is comparable to other central shallot production areas in East Java. The purpose of this research is to understand the farming system and production efficiency of shallot alongside with socio-economics factors affecting its efficiency level. Research method used in this research consists of: profitability analysis of shallot farming, analysis using Data Envelopment Analysis (DEA) to analyze the technical efficiency of shallot production, and Tobit regression to analyze socio-economics factors affecting technical efficiency level. The results from the analyses shows that shallot farming in Torongrejo Village has the R/C ratio of 2,09, with the DEA-CRS technical qfficiency value of 87,7 percent, DEA-VRS technical efficiency value of 99 percent and scale efficiency value of 88,6 percent. The result from Tobit regression using DEA-VRS as dependent variable shows that farming experience and formal education has positive and significant effect on technical efficiency (TE) level, and land ownership status has negative and significant effect on TE level. Shallot production efficiency can be increased by using reduced inputs therefore able to increase farming profit while keep improving farmers’ education and agriculture extension programs for the next generation of farmers.


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