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


Autoria(s): Tsurumi , Tetsuya; Managi, Shunsuke
Data(s)

2009

Resumo

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. Copyright © 2009 Inderscience Enterprises Ltd.

Identificador

http://eprints.qut.edu.au/75402/

Publicador

Inderscience

Relação

Tsurumi , Tetsuya & Managi, Shunsuke (2009) World emissions and economic growth: Application of non-parametric methods. International Journal of Global Environmental Issues., 9(1/2), pp. 69-83.

Fonte

QUT Business School; School of Economics & Finance

Palavras-Chave #140200 APPLIED ECONOMICS #Economic growth; EKC; Environmental Kuznets curve; Non-parametric method; Pollutants
Tipo

Journal Article