Authors: Tetsuya Tsurumi, Shunsuke Managi
Addresses: International Graduate School of Social Sciences, Yokohama National University, 79–4, Tokiwadai, Hodogaya-ku, Yokohama 240–8501, Japan. ' International Graduate School of Social Sciences, Yokohama National University, 79–4, Tokiwadai, Hodogaya-ku, Yokohama 240–8501, Japan
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.
Keywords: pollutants; economic growth; EKC; environmental Kuznets curve; non-parametric method; environmental pollution; biological oxygen demand; emissions; carbon dioxide emissions; carbon dioxide damage; energy use; energy depletion; mineral depletion; water sources; particulate emissions; forest depletion.
International Journal of Global Environmental Issues, 2009 Vol.9 No.1/2, pp.69 - 83
Published online: 18 Dec 2008 *Full-text access for editors Access for subscribers Purchase this article Comment on this article