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Perspectives of Ecological Footprint in European Context under the Impact of Information Society and Sustainable Development

Simona Ioana Ghita (), Andreea Simona Saseanu (), Rodica-Manuela Gogonea () and Catalin-Emilian Huidumac-Petrescu ()
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Simona Ioana Ghita: Department of Statistics and Econometrics, The Bucharest University of Economic Studies, Romana Square, 15-17 Dorobanți St., Sector 1, 010552 Bucharest, Romania
Andreea Simona Saseanu: Department of Business, Consumer Sciences and Quality Management, The Bucharest University of Economic Studies, Romana Square, 6-8, 010374 București, Romania
Rodica-Manuela Gogonea: Department of Statistics and Econometrics, The Bucharest University of Economic Studies, Romana Square, 15-17 Dorobanți St., Sector 1, 010552 Bucharest, Romania
Catalin-Emilian Huidumac-Petrescu: Department of Economics and Economic Policies, The Bucharest University of Economic Studies, Romana Square, 15-17 Dorobanți St., Sector 1, 010552 Bucharest, Romania

Sustainability, 2018, vol. 10, issue 9, 1-25

Abstract: The perspective of ecological footprint, which is a tool for measuring and monitoring the sustainability of the new information society and the higher degree of openness in the European economy powered by the globalization process, was approached from the viewpoint of accelerated technical, scientific, and innovative progress. This research aims at identifying and forecasting patterns of environmental footprint behavior in European countries, depending on factors reflecting the innovation activity, the degree of economic freedom, and EU membership status. In the article, three factors are identified that explain to a large extent the variation of the ecological footprint values: employment in foreign controlled enterprises, eco-innovation index, and region. The statistical and econometric methods used in the analysis are aimed at applying a Proportional-Odds Cumulative Logistic regression model in order to verify the existence of the association between the statistical variables and to forecast the likelihood of changing the ecological footprint from a lower to a higher score under the impact of selected factors by quantifying their influence. The results have led to the conclusion that, by applying the model, both the share of the employed population in the foreign-controlled enterprises and the eco-innovation index will have a significant direct influence on the variability in the ecological footprint (through the odds-ratio). Referring to the EU membership, the model shows that non-EU member countries or newer EU member countries are predominantly assigned low ecological footprint scores.

Keywords: sustainability; ecological footprint; eco-innovation; economy openness; multinomial ordinal logistic regression model; European countries (search for similar items in EconPapers)
JEL-codes: Q Q0 Q2 Q3 Q5 Q56 O13 (search for similar items in EconPapers)
Date: 2018
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