Multidirectional Dynamic Inefficiency Analysis: An Extension to Include Corporate Social Responsibility

Magdalena Kapelko, Alfons Oude Lansink and Spiro Stefanou
Additional contact information
Alfons Oude Lansink: Wageningen University

A chapter in Advanced Mathematical Methods for Economic Efficiency Analysis, 2023, pp 113-129 from Springer

Abstract: Abstract This chapter contributes to research on the inefficiency measurement by developing a method for evaluating inefficiency taking into account firms’ corporate social responsibility (CSR) engagement. The method is based on the dynamic multidirectional inefficiency analysis (dynamic MEA) in which inefficiency is reached through adjustments in inputs, outputs and investments in proportion to the improvement potential defined by an ideal input–output-investment point. While the idea of the inclusion of CSR within the formal production framework is not new, its introduction through dynamic MEA method provides a novel contribution to this field of research. The empirical application focuses on European firms in three industries (offering capital, consumption, and other goods) for the period 2010–2017. The results of this study show that the largest source of inefficiency were investments, no matter which industry was considered. Also, the study finds the lowest dynamic inefficiencies for other industry, followed by consumption, and finally capital, which could be related to different pressures put by the firms’ stakeholders on CSR engagement within specific industries.

Keywords: Dynamic data envelopment analysis; Multidirectional inefficiency analysis; Corporate social responsibility (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
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:spr:lnechp:978-3-031-29583-6_7

Ordering information: This item can be ordered from
http://www.springer.com/9783031295836

DOI: 10.1007/978-3-031-29583-6_7

Access Statistics for this chapter

More chapters in Lecture Notes in Economics and Mathematical Systems from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().