Profitability performance assessment in the Australian construction industry: a global relational two-stage DEA method

Hu, Xiancun; Liu, Chunlu

doi:10.1080/01446193.2016.1180415

Cited by 26 publications

(12 citation statements)

References 42 publications

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“…In the third strand, i.e., series two-stage DEA modeling, firstly proposed by Seiford and Zhu [49] lie the DEA studies by Tsolas [50,51] on the evaluation of listed Greek construction enterprises and Hu and Liu on the Australian [52] and Chinese construction industry [53].…”

Section: Literature Reviewmentioning

confidence: 99%

Financial Performance Assessment of Construction Firms by Means of RAM-Based Composite Indicators

Tsolas

2020

Mathematics

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This paper aims to provide a novel construct that is based on data envelopment analysis (DEA) range adjusted measure (RAM) of efficiency and demonstrate its practical implementation by evaluating the financial performance of a sample of three upper-class contracting license (Classes 5–7) Greek construction firms. In a two-step framework, firm efficiency (i.e., composite indicators (CIs)) is produced firstly by means of RAM using single financial ratios, which are selected by grey relational analysis (GRA), and then Tobit regression is employed to model the CIs. In light of the results, only 4% of the sampled firms are efficient, and the firm ranking is consistent with the ranking of Grey Relational Grande (GRG) values produced by GRA. Moreover, the firms with a contracting license of the highest level (Class 7) appear not to be superior in efficiency to their counterparts that belong to Classes 5–6.

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Section: Literature Reviewmentioning

confidence: 99%

Financial Performance Assessment of Construction Firms by Means of RAM-Based Composite Indicators

Tsolas

2020

Mathematics

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“…Since the pioneering work of [7] Data Envelopment Analysis (DEA) method has been widely employed in academic and policy-making arena, results of which were published in scientific journals, conferences proceedings, dissertations and policy papers within both private (for-profit) and public (non-profit) sectors of the economy. For instance, recent applications covered such areas as banking [9,10], hospital performance [11,12], port operations [13,14], construction industry [15], schools [16], among many others. Different aspects of DEA application, model programming, and specification, and detailed analysis on a selection of inputs and outputs and DMU could be found in [17][18][19].…”

Section: Dea Literaturementioning

confidence: 99%

Efficiency in the Rice Farming: Evidence from Northwest Bangladesh

et al. 2019

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Rice production takes a leading role in the agricultural sector of Bangladesh contributing to 35% of the gross value added of total agricultural production (December 2011), employing 48% of the rural workforce. While the country achieved self-sufficiency in rice, continuous population growth requires Bangladesh to further increase the production of this staple cereal. However, considering the steady decline of the cropped area and available rural workforce, such increase could be reached by increasing the efficiency in rice production. This study aims to examine the resource use efficiency and its drivers in the performance of rice farms in the Northwest region of Bangladesh, which is considered as the food bowl of the country. The study applied a two-stage approach of Data Envelopment Analysis followed by Ordinary Least Squares to estimate the impact of contextual variables on rice production. The empirical research results show that 83% of rice farms among the sample of 184 farms are efficient being located on efficiency frontier, while the 2% farms are inefficient and could improve their efficiency. The remaining 15% of farms are at level that is close to the efficiency frontier. Such factors as the cost of irrigation, pest control, and crop harvesting and carrying are the main drivers of efficiency amongst the considered rice farms.

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“…This property is ideal for applications particularly in the field of mass services and the evaluation of units within the branch network. Therefore, this method is quite frequently used in banking and insurance sectors (for example Grmanová 2013;Hajiagha et al 2013;Ho, Zhu 2004;Kočišová 2014;Kumar, Gulati 2010), real estate and construction sectors (Jin et al 2015;Horta et al 2016;Cheng, Chen 2014;yang et al 2016;Hu, Liu 2016) when evaluating universities (for example nazarko, Šaparauskas 2014; Rosenmayer 2014; Žižka 2015), hospitals (for example Dlouhý 2015) and transport enterprises (for example Klieštik 2009;Lin et al 2012).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Extensive production processes and chains are characterized by a number of related sub-processes and echelons where outputs of one sub-process, for example in the form of semi-finished products, are used as inputs into a consequent sub-process. Multistage DEA method enables the distribution of overall efficiency to individual components and thus it is possible to easily identify sources of inefficiency (Liu, Wang 2009;Hu, Liu 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

Performance Evaluation of Czech Innovative Companies: Data Envelopment Analysis Approach

Žižka

Valentová

Turčok

2016

International Journal of Strategic Property Management

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The article deals with the verification of a performance evaluation model of innovative companies in the Czech Republic and the evaluation of the impact of a branch on their performance in terms of effectiveness and efficiency. From a methodological point of view, the article is based on the use of Data envelopment analysis (DEA) to evaluate the performance of the selected companies. To evaluate their performance, a two-stage DEA method, BCC model orientated at inputs is used. In the first stage, the effectiveness of resources spent on protecting industrial property rights is evaluated. In the second stage, it is assessed how the companies managed to evaluate registered property rights in terms of added value. The research results show that among branches, there are significant differences in both the overall level of performance, and in its pillars – effectiveness and efficiency. In the conclusion, other potential factors that could affect the company’s performance in terms of effectiveness and efficiency are discussed.

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Profitability performance assessment in the Australian construction industry: a global relational two-stage DEA method

Cited by 26 publications

References 42 publications

Financial Performance Assessment of Construction Firms by Means of RAM-Based Composite Indicators

Financial Performance Assessment of Construction Firms by Means of RAM-Based Composite Indicators

Efficiency in the Rice Farming: Evidence from Northwest Bangladesh

Performance Evaluation of Czech Innovative Companies: Data Envelopment Analysis Approach

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