Measuring biodiversity performance: A conditional efficiency measurement approach, Environmental Modelling & Software, 25(12): 1866-1873, 2010. In common with Ν. Τzeremes
Measuring biodiversity performance: A conditional efficiency measurement approach, Environmental Modelling & Software 25(12): 1866-1873, 2010. (SCOPUS, EconLit, ISI Listed.Impact factor: 4.177 and 5-year: 4.990). In common with Ν. Τzeremes (2010).
This paper demonstrates an evaluation of 71 developed and under-developed countries’ biodiversity performance using a methodological framework based on the new advances of Data Envelopment Analysis (DEA). By using conditional DEA, bootstrapping and kernel density estimations, efficiency levels of 71 countries are compared and analyzed. In such a way the paper by modelling and measuring countries’ biodiversity performance analyses whether the countries environmental policies have been used efficiently in order to enhance biodiversity. Our empirical results indicate that there are major inefficiencies among the 71 countries in terms of their biodiversity performances which have been negatively influenced by their higher levels of population and of GDP per capita.