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

Tetsuya Tsurumi; Shunsuke Managi

doi:10.1504/ijgenvi.2009.022085

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

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	69-83
Number of pages	15
Journal	International Journal of Global Environmental Issues
Volume	9
Issue number	1-2
DOIs	https://doi.org/10.1504/ijgenvi.2009.022085
Publication status	Published - 2009
Externally published	Yes

All Science Journal Classification (ASJC) codes

Geography, Planning and Development
Management, Monitoring, Policy and Law

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1504/ijgenvi.2009.022085

Cite this

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

Abstract

All Science Journal Classification (ASJC) codes

UN SDGs

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