TY - JOUR
T1 - World emissions and economic growth
T2 - Application of non-parametric methods
AU - Tsurumi, Tetsuya
AU - Managi, Shunsuke
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=57849089745&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=57849089745&partnerID=8YFLogxK
U2 - 10.1504/ijgenvi.2009.022085
DO - 10.1504/ijgenvi.2009.022085
M3 - Article
AN - SCOPUS:57849089745
VL - 9
SP - 69
EP - 83
JO - International Journal of Global Environmental Issues
JF - International Journal of Global Environmental Issues
SN - 1466-6650
IS - 1-2
ER -
