From eco-efficiency to circular economy: historical trajectories and conceptual reconfigurations
Description
This repository contains the dataset supporting the systematic literature reviews and thematic analyses conducted in this study on the evolution of eco-efficiency and its relationship with the circular economy. The dataset is provided in a single Excel file organized into two separate sheets corresponding to two systematic literature reviews (RSLs). The first sheet (RSL1) contains the academic publications analyzed for the historical review of eco-efficiency and its conceptual evolution between 1987 and 2014. The dataset includes selected scholarly articles classified according to analytical and thematic categories used to examine the changing interpretations, applications, and sustainability orientations associated with eco-efficiency across different historical periods. The second sheet (RSL2) contains the literature analyzed to examine the relationship between eco-efficiency and the circular economy between 2007 and 2023. This dataset includes selected academic publications coded according to thematic and analytical categories related to circular economy principles, sustainability transitions, organizational approaches, and conceptual intersections with eco-efficiency. Both datasets include bibliographic information, classification criteria, thematic coding, and interpretative analytical notes used to support the identification of conceptual developments, thematic patterns, convergences, and gaps within the literature.
Files
Steps to reproduce
The datasets were developed through two systematic literature reviews focused on eco-efficiency and its relationship with the circular economy. Academic publications were identified through database searches using predefined keywords and selection criteria. Relevant articles were screened and classified according to thematic and analytical categories. The selected literature was then coded and analyzed to identify conceptual developments, thematic patterns, and relationships across different sustainability perspectives and time periods. The Excel file contains the final datasets and analytical classifications used in the stud
Categories
Funders
- Dirección de Investigación Universidad peruana de Ciencias AplicadasGrant ID: A-232-2025