Predicting Sustainable Consumption Behavior of Europeans Using the CVPAT

Lena Frömbling (), Svenja Damberg (), Ulla A. Saari () and Christian M. Ringle ()
Additional contact information
Lena Frömbling: Hamburg University of Technology
Svenja Damberg: Institute for Technology and Innovation Management, Am Schwarzenberg-Campus 4(D)
Ulla A. Saari: Faculty of Management and Business, Industrial Engineering and Management
Christian M. Ringle: Hamburg University of Technology

A chapter in State of the Art in Partial Least Squares Structural Equation Modeling (PLS-SEM), 2023, pp 115-121 from Springer

Abstract: Abstract This chapter aims to explain and predict the sustainable consumption behavior among Europeans. We build on the study by Saari et al. (2021) and use the partial least squares structural equation modeling (PLS-SEM) approach to construct an alternative model. Thereby, we rely on the ISSP Environment III dataset and select nine European countries (N = 11,675). Subsequently, we test both models in terms of their predictive ability by using the cross-validated predictive ability test (CVPAT). We find that the proposed alternative model shows a significantly lower average loss and, hence, inherits higher out-of-sample predictive power than the established model. Our study adds value to research regarding sustainable consumption behavior, in that we do not only consider the explanation of the effects in our model but also include a predictive angle by applying a novel methodology.

Keywords: Sustainability; Consumption behavior; Explanation; Prediction; CVPAT; PLS-SEM (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:prbchp:978-3-031-34589-0_13

Ordering information: This item can be ordered from
http://www.springer.com/9783031345890

DOI: 10.1007/978-3-031-34589-0_13

Access Statistics for this chapter

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