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A neuro-computational intelligence analysis of the ecological footprint of nations

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  • Mostafa, Mohamed M.
  • Nataraajan, Rajan

Abstract

The per capita ecological footprint (EF) is one of the most-widely recognized measures of environmental sustainability. It seeks to quantify the Earth's biological capacity required to support human activity. This study uses three neuro-computational methodologies: multi-layer perceptron neural network (MLP), probabilistic neural network (PNN) and generalized regression neural network (GRNN) to predict and classify the EF of 140 nations. Accuracy indices are used to assess the prediction and classification accuracy of the three methodologies. The study shows that neuro-computational models outperform traditional statistical techniques such as regression analysis and discriminant analysis in predicting and classifying per capita EF due to their robustness and flexibility of modeling algorithms.

Suggested Citation

  • Mostafa, Mohamed M. & Nataraajan, Rajan, 2009. "A neuro-computational intelligence analysis of the ecological footprint of nations," Computational Statistics & Data Analysis, Elsevier, vol. 53(9), pages 3516-3531, July.
    • Handle: RePEc:eee:csdana:v:53:y:2009:i:9:p:3516-3531
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    Cited by:

    1. Arno Tausch & Almas Heshmati, 2012. "Migration, Openness and the Global Preconditions of "Smart Development"," Bogazici Journal, Review of Social, Economic and Administrative Studies, Bogazici University, Department of Economics, vol. 26(2), pages 1-62.
    2. Tausch, Arno, 2011. "Costa Rica, superstar? some reflections on the global drivers and bottlenecks of the happy planet index," MPRA Paper 33226, University Library of Munich, Germany.
    3. Tausch, Arno, 2016. "‘Smart development’. An essay on a new political economy of the environment," MPRA Paper 70204, University Library of Munich, Germany.
    4. Tausch, Arno, 2011. "Globalization as a driver or bottleneck for sustainable development. General tendencies and European implications," MPRA Paper 33227, University Library of Munich, Germany.
    5. Mohamed M. Mostafa, 2020. "Catastrophe Theory Predicts International Concern for Global Warming," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(3), pages 709-731, September.
    6. Tausch, Arno, 2011. "The ‘four economic freedoms’ and life quality. General tendencies and some hard lessons for EU-27-Europe," MPRA Paper 33225, University Library of Munich, Germany.

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