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Spatial error regressions for testing the Cancer-EKC

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  • Tommaso Luzzati
  • Angela Parenti
  • Tommaso Rughi

Abstract

Why do we observe increasing rates of new cancers cases? Is this mainly the outcome of higher life expectancy and better life conditions brought about by economic development? Do environmental degradation and changes in life-styles play also a role? To answer these questions we empirically assessed the relationship between per capita income and new cancer cases (incidence) by using a cross-sectional dataset from 121 countries. When looking at the overall incidence rate (i.e., all-sites cancer), we found no support for a cancer-EKC hypothesis (inverted-U relationship). Actually, incidence increases with per capita income, even after controlling for population ageing, improvement in cancer detection, and omitted spatially correlated variables. Hence, a role in cancer occurrence has to be attributed also to changes in lifestyles and to deterioration of environmental quality brought about by economic growth. Looking at the eight most common site-specific cancers not only confirms the existing evidence of different patterns in rich and poor countries, but also helps understanding the estimated relationship for the overall incidence rates.

Suggested Citation

  • Tommaso Luzzati & Angela Parenti & Tommaso Rughi, 2017. "Spatial error regressions for testing the Cancer-EKC," Discussion Papers 2017/218, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    • Handle: RePEc:pie:dsedps:2017/218
    Note: ISSN 2039-1854
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    Keywords

    Economic development; Cancer; Environmental Kuznets Curve; Environmental degradation; Spatial error models.;
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