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A New Index of Environmental Quality

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  • Elettra Agliardi

    ()
    (RCEA; University of Bologna)

  • Mehmet Pinar

    ()
    (Fondazione Eni Enrico Mattei; University of Guelph)

  • Thanasis Stengos

    ()
    (University of Guelph; RCEA)

Abstract

An optimal weighting scheme is proposed to construct a new index of environmental quality for different countries using an approach that relies on consistent tests for stochastic dominance efficiency. The test statistics and the estimators are computed using mixed integer programming methods. The variables that are considered include countries’ greenhouse emissions, water pollution and forest benefits, as from the dataset of the World Bank. First, the stochastic efficient weighting for each set of variables is calculated to build three sub-indices (for greenhouse emissions, water pollution and land without forests) and then an overall risk index of environmental quality is constructed. One main result is that land without forest contributes the most (with around 70%), greenhouse emissions contribute with around 20% and water pollution contributes less (with around 10%). Finally, countries are ranked according to their index of environmental quality and their rankings are compared with those of the Kyoto Protocol.

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Bibliographic Info

Paper provided by The Rimini Centre for Economic Analysis in its series Working Paper Series with number 31_11.

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Date of creation: Jul 2011
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Handle: RePEc:rim:rimwps:31_11

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Keywords: Environmental Quality; Emissions; Water Pollution; Nonparametric Stochastic Dominance; Mixed Integer Programming;

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  1. Kenneth Arrow & Partha Dasgupta & Karl-Göran Mäler, 2003. "Evaluating Projects and Assessing Sustainable Development in Imperfect Economies," Working Papers 2003.109, Fondazione Eni Enrico Mattei.
  2. Beach, Charles M & Davidson, Russell, 1983. "Distribution-Free Statistical Inference with Lorenz Curves and Income Shares," Review of Economic Studies, Wiley Blackwell, vol. 50(4), pages 723-35, October.
  3. Elettra Agliardi, 2011. "Sustainability in Uncertain Economies," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 48(1), pages 71-82, January.
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