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Measuring Environmental Quality: Ecosystem Services or Human Health Effects

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  • Strong, Aaron

Abstract

The relationship between income and environmental quality is poorly understood at best. We expand the Environmental Kuznets Curve (EKC) literature by considering not only the role of emissions but also the role of the environment’s absorptive capacity in the relationship between income and environmental quality. Building off of a simple conceptual model, we construct two different aggregate measures of environmental quality. Using these measures, we find that emissions and emissions toxicity exhibit a relationship consistent with the EKC hypothesis, while biodiversity and ecosystem services do not.

Suggested Citation

  • Strong, Aaron, 2013. "Measuring Environmental Quality: Ecosystem Services or Human Health Effects," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 38(3), pages 1-15.
  • Handle: RePEc:ags:jlaare:165932
    DOI: 10.22004/ag.econ.165932
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    References listed on IDEAS

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    1. Beckerman, Wilfred, 1992. "Economic growth and the environment: Whose growth? whose environment?," World Development, Elsevier, vol. 20(4), pages 481-496, April.
    2. Caviglia-Harris, Jill L. & Chambers, Dustin & Kahn, James R., 2009. "Taking the "U" out of Kuznets: A comprehensive analysis of the EKC and environmental degradation," Ecological Economics, Elsevier, vol. 68(4), pages 1149-1159, February.
    3. Stern, David I., 2004. "The Rise and Fall of the Environmental Kuznets Curve," World Development, Elsevier, vol. 32(8), pages 1419-1439, August.
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    7. Strong, Aaron & Tschirhart, John & Finnoff, David, 2011. "Is economic growth for the birds?," Ecological Economics, Elsevier, vol. 70(7), pages 1375-1380, May.
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    Cited by:

    1. Angioloni, Simone & Jack, Claire & McCarry, Ronan, 2021. "Occupational Injury and Working Days Lost in Northern Ireland’s Farming Sector," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 47(1), January.

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