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Is your valley as green as it should be? Incorporating economic development into environmental performance indicators

Author

Listed:
  • Sam, Aflaki
  • Syed Abul, Basher
  • Andrea, Masini

Abstract

Sustainability rankings are receiving increasing attention by the academic and the policy making communities because of their potential to influence environmental legislation and reshape competitive landscapes. Unfortunately, most of the indicators used to produce these rankings do not take into account economic development and tend to be biased in favor of richer countries. To circumvent this limitation we develop a novel, rigorous and simple metric that ranks countries by their potential environmental performance relative to their wealth; in other words, by the degree of sustainability that a country should achieve, given its level of affluence. We apply our approach to measure the sustainability level of 15 developed economies with respect to the share of renewable energy sources in their electricity generating portfolios. The resulting ranking produces changes in the perceived greenness of certain countries. If adopted, it would allow these countries to increase their bargaining power in international negotiations. It would also alter the pressure faced by their governments to implement or discontinue environmental policies such as feed-in tariffs. Although we applied it at the country level and in the context of renewable energy, the method has far-reaching implications and it can also be used to compare corporate sustainability levels.

Suggested Citation

  • Sam, Aflaki & Syed Abul, Basher & Andrea, Masini, 2019. "Is your valley as green as it should be? Incorporating economic development into environmental performance indicators," MPRA Paper 97081, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:97081
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    References listed on IDEAS

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    More about this item

    Keywords

    Sustainability indicators; renewable energy; environmental rankings; panel data;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

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