A New Index of Environmental Quality
AbstractAn 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 InfoPaper provided by The Rimini Centre for Economic Analysis in its series Working Paper Series with number 31_11.
Date of creation: Jul 2011
Date of revision:
Environmental Quality; Emissions; Water Pollution; Nonparametric Stochastic Dominance; Mixed Integer Programming;
Find related papers by JEL classification:
- C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
- C5 - Mathematical and Quantitative Methods - - Econometric Modeling
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
- Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
- Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
This paper has been announced in the following NEP Reports:
- NEP-AGR-2011-07-21 (Agricultural Economics)
- NEP-ALL-2011-07-21 (All new papers)
- NEP-EFF-2011-07-21 (Efficiency & Productivity)
- NEP-ENE-2011-07-21 (Energy Economics)
- NEP-ENV-2011-07-21 (Environmental Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Elettra Agliardi, 2011. "Sustainability in Uncertain Economies," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 48(1), pages 71-82, January.
- Kenneth Arrow & Partha Dasgupta & Karl-Göran Mäler, 2003.
"Evaluating Projects and Assessing Sustainable Development in Imperfect Economies,"
Environmental & Resource Economics,
European Association of Environmental and Resource Economists, vol. 26(4), pages 647-685, December.
- 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.
- 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.
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