Unemployment, GDP and CO 2 emissions: new theoretical foundations and mathematical tools for the analysis of the environmental Phillips curve
Rosa Ferrentino and
Luca Vota
International Journal of Sustainable Economy, 2026, vol. 18, issue 2, 120-155
Abstract:
The theoretical and empirical foundations of the environmental Phillips curve, namely, the inverse relationship between air pollution and unemployment, remain unclear. In this manuscript, the authors use an original model to demonstrate that two alternative specifications of such a curve are possible, namely, the difference version (that comprises the first differences of the variables of interest) and the gap version (that includes the difference of the unemployment rate and emissions of CO2 from their respective equilibrium values). The regression analysis conducted on US time-series proves that, thanks to its ability of taking into account the business cycle fluctuations, the gap version outperforms its difference counterpart. Appropriate policy recommendations are provided and discussed.
Keywords: environmental economics; environmental Phillips curve; pollution; generalised method of moments; mathematical methods. (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=152810 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijsuse:v:18:y:2026:i:2:p:120-155
Access Statistics for this article
More articles in International Journal of Sustainable Economy from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().