The puzzle of greenhouse gas footprints of oil abundance


Sadik-Zada E. R., Gatto A.

SOCIO-ECONOMIC PLANNING SCIENCES, vol.75, 2021 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 75
  • Publication Date: 2021
  • Doi Number: 10.1016/j.seps.2020.100936
  • Journal Name: SOCIO-ECONOMIC PLANNING SCIENCES
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, Academic Search Premier, International Bibliography of Social Sciences, Business Source Elite, Business Source Premier, EconLit, Educational research abstracts (ERA), INSPEC, Political Science Complete, Public Affairs Index, Social services abstracts, Sociological abstracts, Worldwide Political Science Abstracts
  • Azerbaijan State University of Economics (UNEC) Affiliated: Yes

Abstract

The present inquiry lays a groundwork for the analysis of the net greenhouse gas (GHG) footprint of oil in the oilabundant 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 cointegration 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.