... that incorporates exploratory factor analysis ( EFA ), principal component analysis ( PCA ) and global benchmarking techniques. By blending quantitative methods with contextual comparisons, the study focuses on major Saudi cities and examines changes from 2021 to 2024. Design/methodology/approach The study...

... Property Residential Motivation Principal component analysis Malaysia © 2024 Emerald Publishing Limited 2024 Emerald Publishing Limited Licensed re-use rights only The Green Building Index (GBI) was used as a metric to determine the certification criteria relevant to green investments...

.../approach This paper uses a two-step clustering algorithm combining k-means with Ward’s method to develop the classification scheme. The clustering process is preceded by a principal component analysis to merely retain the most important dimensions of the market parameters. The robustness of the results...

... to “unearth” the most important prognosticators of affordability. The paper uses principal component analysis to determine how affordability, as a key policy tool, should be analysed. In addition, co integration techniques, Granger causality and impulse response analysis are applied to test the movement...

.... For the second aim of data reduction, principal component analysis (PCA) is used. The exploited regression methodologies are global and geographically weighted ordinary least squares. Findings Four factors are extracted, of which two represent apartment attributes and other two – location attributes...