Input-output substitutability and strongly monotonic \(p\)-norm least distance DEA measures
From MaRDI portal
Publication:296619
DOI10.1016/j.ejor.2014.02.033zbMath1338.90252OpenAlexW2006094796MaRDI QIDQ296619
Jianming Shi, Kazuyuki Sekitani, Hirofumi Fukuyama, Yasunobu Maeda
Publication date: 23 June 2016
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2014.02.033
strong monotonicityfree disposabilitydata envelopment analysis (DEA)input-output substitutabilityleast distance efficiency/inefficiency measures
Related Items (17)
Least-Distance Range Adjusted Measure in DEA: Efficiency Evaluation and Benchmarking for Japanese Banks ⋮ Unnamed Item ⋮ Coupling distinct MOLP interactive approaches with a novel DEA hybrid model ⋮ The impacts of innovation and trade openness on bank market power: the proposal of a minimum distance cost function approach and a causal structure analysis ⋮ Benchmarking within a DEA framework: setting the closest targets and identifying peer groups with the most similar performances ⋮ A New MIP Approach on the Least Distance Problem in DEA ⋮ Finding closest target for bank branches in the presence of weight restrictions using data envelopment analysis ⋮ A modified distance friction minimization approach in data envelopment analysis ⋮ Determining closest targets on the extended facet production possibility set in data envelopment analysis: modeling and computational aspects ⋮ Within-group common benchmarking using DEA ⋮ Monotonicity of minimum distance inefficiency measures for data envelopment analysis ⋮ Handling negative data in slacks-based measure data envelopment analysis models ⋮ A cross-bargaining game approach for direction selection in the directional distance function ⋮ Closest targets in the slacks-based measure of efficiency for production units with multi-period data ⋮ A well-defined composite indicator: an application to corporate social responsibility ⋮ On the Use of DEA Models with Weight Restrictions for Benchmarking and Target Setting ⋮ Estimating the degree of firms' input market power via data envelopment analysis: evidence from the global biotechnology and pharmaceutical industry
Cites Work
- Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
- Measuring the efficiency of decision making units
- The relevance of DEA benchmarking information and the least-distance measure: comment
- Continuity of measures of technical efficiency
- Measures of technical efficiency
- Variations on the theme of slacks-based measure of efficiency in DEA
- On technical efficiency measures: A remark
- An enhanced DEA Russell graph efficiency measure
- On the existence of a technical efficiency criterion
- Measuring the technical efficiency of production
- A multi-stage methodology for the solution of orientated DEA models
- Decomposing the efficient frontier of the DEA production possibility set into a smallest number of convex polyhedrons by mixed integer programming
- The relevance of DEA benchmarking information and the least-distance measure
- A well-defined efficiency measure for dealing with closest targets in DEA
- LEAST DISTANCE BASED INEFFICIENCY MEASURES ON THE PARETO-EFFICIENT FRONTIER IN DEA
- A slacks-based measure of efficiency in data envelopment analysis
- From efficiency measurement to efficiency improvement: The choice of a relevant benchmark
- On measuring the inefficiency with the inner-product norm in data envelopment analysis
This page was built for publication: Input-output substitutability and strongly monotonic \(p\)-norm least distance DEA measures