The Price Premium in Green Buildings: A Spatial Autoregressive Model and a Multi-Criteria Optimization Approach

The energy issue has given rise to a prolific research field, which branches into several strands. One of these strands focuses on the role played by building features in shaping property prices. Indeed, market players are expected show higher willingness pay for units characterized performance. study so-called price premium efficiency flourished last decade or so; plenty evidence is now available concerning its occurrence, although magnitude still debated. literature relies methodological frameworks statistical modeling and multiple regression, primarily employing hedonic models. Lately, spatial autoregressive models have also been adopted. Here, we propose deal with estimation adopting an innovative perspective. In particular, use framework regression complemented multi-criteria optimization approach. Using model first, D as reference rating band, find following premiums: 55% A4, 42% A3 A, 20% B C, ?14% F, ?29% G. approach proves efficient estimating premium. estimates above essentially confirmed: results converge all bands except