Two-stage data envelopment analysis with undesirable intermediate measures: an application to air quality improvement in China
DOI10.1007/S10100-018-0564-5OpenAlexW2810194257WikidataQ129574556 ScholiaQ129574556MaRDI QIDQ1989788
Publication date: 29 October 2018
Published in: CEJOR. Central European Journal of Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10100-018-0564-5
two-stage DEAdata transformationair quality improvementigccmulti-criteria allocation gameundesirable intermediate measures
Applications of mathematical programming (90C90) Cooperative games (91A12) Linear programming (90C05) Operations research and management science (90Bxx)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Measuring the efficiency of decision making units
- A DEA two-stage decision processes with shared resources
- A non-radial DEA approach to measuring environmental performance
- Equivalence in two-stage DEA approaches
- Network DEA: A slacks-based measure approach
- Measuring macroeconomic performance in the OECD: A comparison of European and non-European countries
- Game theoretic approaches to weight assignments in data envelopment analysis problems
- Modeling undesirable factors in efficiency evaluation
- Modeling undesirable factors in efficiency evaluation: comment
- Efficiency analysis in two-stage structures using fuzzy data envelopment analysis
- Ranking of countries in sporting events using two-stage data envelopment analysis models: a case of summer olympic games 2016
- Resolving a strange case of efficiency
- DEA models for two-stage processes: Game approach and efficiency decomposition
- A slacks-based measure of efficiency in data envelopment analysis
- Undesiderable outputs in efficiency valuations
This page was built for publication: Two-stage data envelopment analysis with undesirable intermediate measures: an application to air quality improvement in China