The Evaluation of Climate Change Competitiveness via DEA Models and Shannon Entropy: EU Regions.

The purpose of this paper is to assess the efficiency of climate change competitiveness via a case study on EU regions by using the data envelopment analysis (DEA) model and Shannon entropy. First, on the same premise as similar composite indicators, we develop a DEA model to assess the relative performance of the regions in climate change competitiveness. Then, we extend our calculations with a DEA-like model and Shannon entropy to derive global estimates of a new competitiveness index by using common weights.

Circular economy competitiveness evaluation model based on the catastrophe progression method.

Circular Economy Model (CEM) holds the promise to provide an economic benefit while not compromising environmental balance, growth, and competitiveness. The paper presents the proposal of Circular Economy Competitiveness Index (CECI) which measure the development of CEM implementation on country level in areas of social behaviours, business operations, resource management, and innovativeness. CECI combines a catastrophe progression method based on catastrophe theory and principial component analysis into composite index.