Performance analysis for three pillars of sustainability
Jean-Philippe Boussemart,
Hervé Leleu,
Zhiyang Shen and
Vivian Valdmanis
Additional contact information
Vivian Valdmanis: Western Michigan University, and IESEG School of Management
Journal of Productivity Analysis, 2020, vol. 53, issue 3, No 2, 305-320
Abstract:
Abstract Gross domestic product (GDP) has come under criticism as the only objective that countries should pursue for societal well-being. In this paper we apply an innovative Data Envelopment Analysis (DEA) approach for including two other pillars including an environmental dimension, reduction of carbon dioxide (CO2) emissions and social efforts for employment, health and education. By linking together three DEA models, we model a global technology that combines the objectives of the three pillars. Finally, by weighting each of them by different schemes, we illustrate the practicality of our approach to analyze policy trade-offs among economic, environmental, and social objectives.
Keywords: Economic Efficiency; Environmental Efficiency; Social Efficiency; Data Envelopment Analysis; Multiple Frontiers (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)
Downloads: (external link)
http://link.springer.com/10.1007/s11123-020-00575-9 Abstract (text/html)
Access to full text is restricted to subscribers.
Related works:
Working Paper: Performance analysis for three pillars of sustainability (2020)
Working Paper: Performance analysis for three pillars of sustainability (2017) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:kap:jproda:v:53:y:2020:i:3:d:10.1007_s11123-020-00575-9
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/11123/PS2
DOI: 10.1007/s11123-020-00575-9
Access Statistics for this article
Journal of Productivity Analysis is currently edited by William Greene, Chris O'Donnell and Victor Podinovski
More articles in Journal of Productivity Analysis from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().