The puzzle of greenhouse gas footprints of oil abundance

20.07.2021

Das CURE-Mitglied Dr. Elkhan Richard Sadik-Zada veröffentlichte zusammen mit Andrea Gatto vom Natural Resources Institute an der Greenwich University den Beitrag The puzzle of greenhouse gas footprints of oil abundance in der 75. Ausgabe des Journals Socio-Economic Planning Sciences. Hier ist der Journal-Beitrag online abrufbar.

The puzzle of greenhouse gas footprints of oil abundance

Socio-economic Planning Sciences

CURE-Member, Dr. Elkhan Richard Sadik-Zada, together with Andrea Gatto from Natural Resources Institute at Greenwich University, has just published a new journal article in Socio-Economic Planning Sciences:
The puzzle of greenhouse gas footprints of oil abundance
The present inquiry lays a groundwork for the analysis of the net greenhouse gas (GHG) footprint of oil in the oil-abundant settings. To address the research question, the study puts forward a three-sector decision model, which provides a common ground for the assessment of the interaction of the structuralist and institutional factors influencing environmental pollution in the oil-reliant economies. The study shows that fossil-fuel abundance triggers forces, which induce diametrically opposed effects concerning atmospheric pollution. These are the rising carbon-intensive oil extraction and processing and fossil-fueled power generation versus shrinkage of the carbon-intensive manufacturing and growth of the low-carbon tertiarization. The theoretical analysis enables compartmentalization of the essential factors, which determine GHG emissions in the respective countries. To assess the significance of the proposed theoretical framework, the study employs multivariate panel co-integration techniques and two-stage fixed effects estimations for a dataset of 38 oil-producing countries for the time period between 1960 and 2018. In contrast to the existing literature, this study drives apart from the black box approaches that employ just one omnibus variable, per capita income.
in: Socio-Economic Planning Sciences, Volume 75, 2021, 100936
(URL providing 50 days' free access to the article: https://authors.elsevier.com/c/1c~t18f9Ytaig