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World emissions and economic growth: application of non-parametric methods

Author

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  • Tetsuya Tsurumi
  • Shunsuke Managi

Abstract

The Environmental Kuznets Curve (EKC) hypothesises an inverse U-shaped relationship between a measure of environmental pollution and per capita income levels. In this study, we apply non-parametric estimation of local polynomial regression (local quadratic fitting) to allow more flexibility in local estimation. This study uses a larger and globally representative sample of many local and global pollutants and natural resources including Biological Oxygen Demand (BOD) emission, CO2 emission, CO2 damage, energy use, energy depletion, mineral depletion, improved water source, PM10, particulate emission damage, forest area and net forest depletion.

Suggested Citation

  • Tetsuya Tsurumi & Shunsuke Managi, 2009. "World emissions and economic growth: application of non-parametric methods," International Journal of Global Environmental Issues, Inderscience Enterprises Ltd, vol. 9(1/2), pages 69-83.
    • Handle: RePEc:ids:ijgenv:v:9:y:2009:i:1/2:p:69-83
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