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

Tetsuya Tsurumi, Shunsuke Managi

Research output: Contribution to journalArticlepeer-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 languageEnglish
Pages (from-to)69-83
Number of pages15
JournalInternational Journal of Global Environmental Issues
Volume9
Issue number1-2
DOIs
Publication statusPublished - 2009

Keywords

  • EKC
  • Economic growth
  • Environmental Kuznets curve
  • Non-parametric method
  • Pollutants

ASJC Scopus subject areas

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

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