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Directional Distance Function

The Carbon Emissions Efficiency and Marginal Abatement Cost in Urban of China: Non Parametric Directional Distance Function Method

The Carbon Emissions Efficiency and Marginal Abatement Cost in Urban of China: Non Parametric Directional Distance Function Method

... of function and specific input and output prices, so it has been widely used in the current ...nonparametric directional distance function based on DEA first to study environmental performance ...

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Annex I and non Annex I countries’productive performance revisited using a generalized directional distance function under a metafrontier framework: Is there any convergence divergence pattern for technology gaps?

Annex I and non Annex I countries’productive performance revisited using a generalized directional distance function under a metafrontier framework: Is there any convergence divergence pattern for technology gaps?

... a directional distance function (Cheng and Zervopoulos, 2014) in a methodological framework which allows the co-examination of (i) efficiency differences in terms of productive performance for ...

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Measuring regional environmental efficiency: A directional distance function approach

Measuring regional environmental efficiency: A directional distance function approach

... the directional distance function approach as in Chung et ...the directional distance function setting we use a direction vector g = ( g y , − g u ) , where g y = 1 and − g u = − ...

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Regional economic growth and environmental efficiency in greenhouse emissions: A conditional directional distance function approach

Regional economic growth and environmental efficiency in greenhouse emissions: A conditional directional distance function approach

... conditional directional distance function approach and the property of weak disposability our paper modifies the original model by Färe and Grosskopf (2004) in order to account for exogenous ...

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A generalized directional distance function in data envelopment analysis and its application to a cross country measurement of health efficiency

A generalized directional distance function in data envelopment analysis and its application to a cross country measurement of health efficiency

... In the mathematical formulations of the proposed generalized directional distance function measure we assume strong disposability of inputs, and of good and bad outputs. However, the linear ...

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A Model of Resource Misallocation Measurement and Adjustment Based on Hybrid DEA

A Model of Resource Misallocation Measurement and Adjustment Based on Hybrid DEA

... Efficiency Value Results and Resource Misallocation Measurement Before application of the hybrid DEA model, the directional distance function 𝑔 � � 𝑔𝑥 , 𝑔𝑦 � must be preset, which repres[r] ...

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Baseline analysis of productivity changes with and without considering carbon dioxide emissions in the major manufacturing sector of Indonesia

Baseline analysis of productivity changes with and without considering carbon dioxide emissions in the major manufacturing sector of Indonesia

... the directional distance function to develop the Malmquist- Luenberger productivity index, the Malmquist-Luenberger productivity index has been widely used in various studies at different levels from ...

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Directional distance functions:optimal endogenous directions

Directional distance functions:optimal endogenous directions

... technology-oriented directional distance function and a set of first-order conditions from the dual cost-minimization and profit-maximization ...our directional distance function ...

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DEA数据标准化方法及其在方向距离函数模型中的应用

DEA数据标准化方法及其在方向距离函数模型中的应用

... analysis. It has the capacity of dealing with undesirable outputs, but the problem is that it has no unit-invariant measurement of efficiency, which hampers its application to empirical studies. Data normalization for ...

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Directional closest-target based measures of eciency: Holder norms
 approach

Directional closest-target based measures of eciency: Holder norms approach

... minimum distance to the Pareto-efficient frontier in DEA, Journal of Productivity Analysis 28 (2006) 209 – 218], to determine the closest Pareto-efficient targets for a given inefficient decision making unit ...

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Finding Common Ground: Efficiency Indices

Finding Common Ground: Efficiency Indices

... In this paper we try to pull together some of the variants that have arisen over these decades and show when they are equivalent. The specific cases we take up include: 1) the original Debreu-Farrell measure versus the ...

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Using Directional Distance Functions to Determine Ranking Ranges in Cross-efficiency Evaluations

Using Directional Distance Functions to Determine Ranking Ranges in Cross-efficiency Evaluations

... with directional distance function as well as ranking ranges proposed by Alcaraz et ...the directional distance functions are also depicted graphically in ...

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A Modified Directional Distance Formulation of DEA with Malmquist Index to Assess Bankruptcy

A Modified Directional Distance Formulation of DEA with Malmquist Index to Assess Bankruptcy

... a directional distance function formulation of DEA using by malmquist index to assess the ...The directional distance function measures the efficiencies of DMUs, which measures ...

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Shadow Pricing of Electric Power Interruptions for Distribution System Operators in Finland

Shadow Pricing of Electric Power Interruptions for Distribution System Operators in Finland

... Directional Distance Function and the Shadow Pricing of Electric Power Interruptions.. 81.[r] ...

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Evaluating the efficiency of bank branches with random data

Evaluating the efficiency of bank branches with random data

... The directional distance function and a positive number, as an improved vector coefficient, are used in this paper when the risk covariance (input) and the average return (output) are ...

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On the Commensurability of Directional Distance Functions

On the Commensurability of Directional Distance Functions

... the directional vector of UDDF’s has been pre- multiplied by the (non-identity) commensuration matrices, the DDF is no longer a ...use directional distance function with a ‘commensurated’ ...

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Handling negative data using Data Envelopment Analysis: a directional distance approach applied to higher education

Handling negative data using Data Envelopment Analysis: a directional distance approach applied to higher education

... This paper applies a data envelopment analysis (DEA) method to assess technical efficiency of both private and public universities in Italy. Moving from the traditional context where inputs and outputs are assumed to be ...

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A modified DDF-based super-efficiency model handling negative data

A modified DDF-based super-efficiency model handling negative data

... In conventional DEA models, inputs and outputs are assumed to be non-negative while negative data may occur in some DEA application such as the performance analysis of socially responsible and mutual funds; and the ...

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The Directional p-Median Problem with Applications to Traffic Quantization and Multiprocessor Scheduling

The Directional p-Median Problem with Applications to Traffic Quantization and Multiprocessor Scheduling

... Different distance metrics produce distance matrices with different characteristics, upon which the performance of a heuristic ...the distance matrix has a minor impact on performance, but failure to ...

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THE EULER NUMBER FROM THE DISTANCE FUNCTION

THE EULER NUMBER FROM THE DISTANCE FUNCTION

... We present a new method to obtain the Euler number of a domain based on the tangent counts of concentric spheres in R 3 (or circles in R 2 ), with respect to the center O, that sweeps the domain. This method is derived ...

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