A study of the relative efficiency of Chinese ports: a financial ratio‐based data envelopment analysis approach

Ablanedo-Rosas, José Humberto; Gao, Hongman; Zheng, Xiaochuan; Alidaee, Bahram; Wang, Haibo

doi:10.1111/j.1468-0394.2010.00552.x

Cited by 41 publications

(21 citation statements)

References 53 publications

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“…The efficiency score (a) allows for the ranking of DMU 0 or the current DMU. The efficiency score of 1 is considered to be efficient and a score less than 1 is inefficient (Ablanedo-Rosas et al 2010).…”

Section: Deriving a Single Financial Performance Indicatormentioning

confidence: 99%

Entrepreneurial competencies and financial performance of farmers in South Africa

Nieuwoudt

Henning

Jordaan

2017

SAJEMS

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Aim:The main objective of this study was to explore the relationship between the entrepreneurial competencies of farmers and their financial performance. Setting: The study was conducted in South Africa among farmer clients of a commercial financial organisation.Methods: The financial performance of the farmers was calculated by means of financial ratios which were used to compile a single performance indicator: operating efficiency. The operating efficiency indicator was calculated using a financial-based data envelopment analysis. An entrepreneurial competencies instrument was used to measure the entrepreneurial competencies of the farmers. Ordinary least squares regression was used within the principal component regression framework to explore the relationship between entrepreneurial competencies and financial performance.Results: The results indicate there is a positive relationship between entrepreneurial competencies and financial performance of farmers. Each of the individual competencies also indicated positive correlation between the entrepreneurial competencies and financial performance.Conclusion: An increase in specific entrepreneurial competencies behaviour may increase the operating efficiency of the farm. Educational opportunities exist to educate farmers on the potential benefits of using entrepreneurial behaviour to their advantage (to benefit their operating efficiency). Sectors involved with agriculture, for example agricultural advisors, financial advisors and educational institutes, should emphasise the importance of utilising the competencies of farmers.

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Section: Deriving a Single Financial Performance Indicatormentioning

confidence: 99%

Entrepreneurial competencies and financial performance of farmers in South Africa

Nieuwoudt

Henning

Jordaan

2017

SAJEMS

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“…See for instance Emrouznejad and Anouze (); Ablanedo‐Rosas et al . (); Amirteimoori and Emrouznejad (); Cooper et al . () and Du et al .…”

Section: Preliminariesmentioning

confidence: 97%

Data envelopment analysis with discrete‐valued inputs and outputs

Amirteimoori

Kordrostami

2013

Expert Systems

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The conventional data envelopment analysis (DEA) measures the relative efficiencies of a set of decision making units, which has real‐valued inputs and outputs. In many real occasions, there are cases in which some inputs and/or outputs must only take some particularised real or integer values. These values are referred to as discrete data. The need to deal with discrete‐valued data in DEA naturally occurs when we use real‐valued or integer‐valued DEA, but the reduced inputs and outputs of an inefficient decision making unit are restricted to some particular real or integer values. In this case, axioms such as unbounded ray, convexity and free disposability as discussed in the conventional DEA are violated. In this paper, an alternative extension of DEA in the case of discrete‐valued data has been faced. An axiomatic foundation is proposed to define the new production possibility set. In order to exemplify the method, a case of 25 Iranian gas companies' activities are illustrated.

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“…For example, DEA has been successfully explored in measuring the operational efficiency of banks (Favero and Papi, 1995;Pastor et al, 1997;Cacu et al, 2004;Angelidis and Lyroudi, 2006), container ports (Roll and Hayuth, 1993;Cullinane and Wang, 2006;Min and Park, 2008;Hung et al, 2010;Ablanedo-Rosas et al, 2010), public transit (Obeng, 1994;Nolan, 1995;Barnum et al, 2007;, manufacturing and logistics (He et al, 2006;Hasan et al, 2008;Sun and Ding, 2010), and others. Only a handful of studies have applied DEA to trucking industry.…”

Section: Literature Reviewmentioning

confidence: 99%

Study of efficiency trends and productivity changes in the US TL carriers: 2000-2009

Pai

2011

IJLEG

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In this study, the nature and extent of efficiency and productivity growth in the US truckload (TL) carriers is investigated using non-parametric techniques. To analyse efficiency trends, a DEA window analysis is conducted on publicly available financial data with a representative sample of ten publicly listed TL carriers for the period 2000 to 2009. Malmquist index is used to study the productivity changes in the US TL carriers. The window analysis results reveal that the average overall efficiencies of the TL carriers are relatively low. They do not show a definite trend, but tend to follow the general economic conditions prevalent during the study period. Furthermore, a majority of the carriers are scale inefficient, which demonstrates that the TL carriers are not operating at their optimal size. Malmquist results, calculated from the DEA results, allows productivity changes to be decomposed into two categories: technical efficiency changes, and technological changes. The results reveal that in general the productivity of the TL carriers has decreased mainly due to the technological regression.

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A study of the relative efficiency of Chinese ports: a financial ratio‐based data envelopment analysis approach

Cited by 41 publications

References 53 publications

Entrepreneurial competencies and financial performance of farmers in South Africa

Entrepreneurial competencies and financial performance of farmers in South Africa

Data envelopment analysis with discrete‐valued inputs and outputs

Study of efficiency trends and productivity changes in the US TL carriers: 2000-2009

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