Benchmarking Sustainable Development: A Synthetic Meta-index Approach
AbstractThe need for monitoring countriesâ overall performance in Sustainable Development (SD) is widely recognized, but the methods for aggregating vast amounts of empirical data remain rather crude. This paper examines the so-called âbenefit-of-the-doubtâ weighting method as a tool for identifying benchmarks without imposing strong normative judgement about SD priorities. The weighting method involves linear optimization techniques, and allows countries to emphasize and prioritize those SD aspects for which they perform relatively well. Using this method, we construct a meta-index of SD (MISD), which combines 14 existing aggregate SD indices (developed by well-established organizations and/or expert teams) into a single synthesizing overall SD index. Within a sample of 154 countries, our index identifies 6 benchmark countries (3 high-income countries and 3 upper-middle-income countries), but also a number of seriously under-performing countries. We view this approach as a first step towards more systematic international comparisons, aimed at facilitating diffusion of the best practices and policies from the benchmark countries to the less developed world.
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Bibliographic InfoPaper provided by World Institute for Development Economic Research (UNU-WIDER) in its series Working Paper Series with number UNU-WIDER Research Paper RP2004/28.
Length: 32 pages
Date of creation: 2004
Date of revision:
sustainable development; integrated assessment; benchmarking; benefit of doubt weighting; data envelopment analysis;
Other versions of this item:
- Laurens Cherchye & & Timo Kuosmanen, 2002. "Benchmarking Sustainable Development: A Synthetic Meta-index Approach," Others 0210001, EconWPA, revised 08 Oct 2002.
- O57 - Economic Development, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
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