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Statistical Analysis of World Ecological Performance

Student: Felises Ganpanczurova Alla Beatris

Supervisor: Marina Arkhipova

Faculty: School of Statistics, Data Analysis and Demography

Educational Programme: Bachelor

Final Grade: 8

Year of Graduation: 2014

<p>Since the beginning of civilization, progress has been driven by technological innovation forward. The results of technological progress improved people&#39;s living standards, but it caused irreparable damage to the environment. Currently, the state of our global environment is such that humanity cannot afford a new cycle of growth, based on additional requirements for energy and natural resources. In the coming years social community need to identify some new general trends for their development taking ecological processes into account. One of the weakest points of the saving natural resources and environmental protection is an economic downturn. To avoid this and, at the same time, to save our planet from pollution and depletion it is necessary to develop eco-innovation. This research is a crucial part of addressing the growing large-scale environmental challenges the world is facing today. As far as the author of this paper adheres to the idea of a positive effect of eco-innovations, the assessment of national ecological performance was carried out in close connection with key factors of eco-innovation. The approach to this problem is based on using various methods of statistical analysis such as a method of regression analysis which helps to determine the relationship between the ecological performance and eco-innovation determinants, and cluster analysis which can be used to classify countries into groups depending on their environment performance. The author makes a methodological principles review of evaluating national ecological performance and eco-innovation, determines the relationship between the ecological performance and eco-innovation determinants, makes a classification of countries according to their environment state, makes conclusions regarding the hypotheses presented in this paper and provides recommendations on future policy in environmental innovation.</p>

Full text (added May 22, 2014) (736.62 Kb)

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