Integrating Pythagorean Fuzzy SAW and Entropy in Decision-Making for Legal Effectiveness in Renewable Energy Projects

Abstract

The most important factors must be identified to ensure efficient legal effectiveness for renewable energy projects. However, there are very few studies aimed at determining the most important factors affecting the legal effectiveness of these projects. This situation emerges as a very important gap in the legal effectiveness literature. Accordingly, this study aims to evaluate the most significant indicators of legal effectiveness in renewable energy projects. For this purpose, the main research question of this study is which are the priority strategies to ensure legal effectiveness for these projects. In this scope, four different factors are weighted via Pythagorean fuzzy entropy. Another evaluation was also implemented for the seven emerging (E7) countries in the following process. Within this framework, the Pythagorean fuzzy SAW technique is taken into consideration. The main motivation of this study is the strong need for a comprehensive evaluation to understand the key indicators of the legal effectiveness of renewable energy projects. Hence, the main contribution of this study is the generation of a novel decision-making model to reach this objective. It is concluded that understanding the challenges is the most important criterion.

Similarly, defining comprehensive standards also plays a crucial role in this framework. However, developing long-term policies and a fast and fair licensing process have lower significance weights than the others. On the other side, the ranking results denote that Mexico and Russia are the most successful emerging countries with respect to the performance of legal effectiveness. On the other hand, China and Turkey have lower performance in this context.