Akademik Veri Yönetim Sistemi
International Journal of Sustainable Development and Planning, cilt.21, sa.4, ss.1833-1842, 2026 (Scopus)
Public-private partnership (PPP) projects are a special form of project finance. The United Nations has supported PPP to be used as a tool for sustainable development, especially in emerging countries. Türkiye has an advantageous location for the generation of renewable energy. Sustainable energy investments ensure that the energy demand, which increases with population growth, is met more economically without harming nature. The aim of this study is twofold: First, to evaluate and rank past PPP electric generation projects in Türkiye based on seven decision criteria to identify which models have performed better under specific conditions. Second, leveraging these performance insights, to design a predictive decision-making model that will help public authorities and investors classify and select suitable PPP models for future projects. This study integrates Alternative Ranking Method by Computing Two-Step Normalization (AROMAN) for performance ranking and the C5.0 decision tree algorithm for classification, a novel approach for providing a holistic decision framework. The analysis reveals that while investment preferences lean towards sustainable technologies like wind and hydro, the highest-ranked projects have often been non-renewable, highlighting a critical governance challenge between ensuring financial bankability and achieving sustainability goals. In sustainable technology preferences, the focus was on wind energy and hydropower plants. Build, own, and operate (BOO), and build, rehabilitate, operate, and transfer (BROT) models were prominent in wind energy. In hydro energy, the highest intensities were the build, operate, transfer (BOT), Merchant, BROT, and BOO models, respectively. The study provides detailed deductions for project ranking and classification rules to guide future PPP structuring.