A Frontier Shift on Unified Index Over Time: Malmquist Index for SDGs Enhancement

Toshiyuki Sueyoshi and Mika Goto ()
Additional contact information
Toshiyuki Sueyoshi: Shandong University
Mika Goto: Institute of Science Tokyo

Chapter Chapter 6 in Environment and Sustainability for ESG and SDGs, 2025, pp 131-161 from Springer

Abstract: Abstract This chapter discusses a use of DEA-EA to measure a frontier shift over time. As discussed in Chap. 5 , most of data sets on energy and environment have usually a time series structure. The use of DEA-EA needs to incorporate a computational process which can measure the change of a shift on SDGs. In applying DEA-EA over time, we need to examine each factor component whose sum produces the shift of an efficiency frontier among different periods. A unique feature of the proposed assessment proposed in this chapter is that it incorporates a framework of “Malmquist index” to examine the frontier shift among different periods. The frontier shift indicates a technology progress and/or a managerial effort for SDGs enhancement during observed periods. The computational process is different from that of Chap. 5 which measures a change of unified efficiency or index measures. Meanwhile, this chapter measures a frontier change, not such an efficiency/index change, among different periods. To attain the measurement, we conceptually separate a proposed unified index due to the frontier shift into six subcomponents. Then, we further divide them into twelve different subcomponents (= 6 subcomponents × 2 disposability concepts) under natural or managerial disposability. Thus, this chapter provides a new type of “SDGs decomposition” due to the frontier shift among different periods.

Keywords: Time series; Malmquist index; Production technology; Ecological technology (search for similar items in EconPapers)
Date: 2025
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:sprchp:978-981-96-2464-5_6

Ordering information: This item can be ordered from
http://www.springer.com/9789819624645

DOI: 10.1007/978-981-96-2464-5_6

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().