The puzzle of greenhouse gas footprints of oil abundance

被引:80
作者
Sadik-Zada, Elkhan Richard [1 ,2 ,3 ,4 ,5 ]
Gatto, Andrea [3 ,4 ,6 ,7 ]
机构
[1] Ruhr Univ, Inst Dev Res & Dev Policy IEE, D-44805 Bochum, Germany
[2] Ruhr Univ, Fac Management & Econ, Ctr Environm Resources & Energy Econ CURE, D-44801 Bochum, Germany
[3] Azerbaijan State Univ Econ UNEC, Ctr Studies European Econ AIM, AZ-1001 Baku, Azerbaijan
[4] CED Ctr Econ Dev & Social Change, I-80128 Naples, Italy
[5] Univ Cambridge, Energy Transit Cambridge Visiting, Cambridge CB3 9DD, England
[6] Univ Greenwich, Nat Resources Inst, Livelihoods & Inst Dept, Cent Ave, Chatham ME4 4TB, England
[7] Northeastern Univ, New Coll Humanities, 19 Bedford Sq, London WC1B 3HH, England
关键词
Greenhouse gas emissions; Hartwick's rule; Three-sector-analysis; Rent-seeking; Deindustrialization; Environmental Kuznets curve; Pooled mean group estimator; ENVIRONMENTAL KUZNETS CURVE; ECONOMIC-GROWTH; CO2; EMISSIONS; ENERGY-CONSUMPTION; INDUSTRIALIZATION; POLICY; HYPOTHESIS; SECTOR;
D O I
10.1016/j.seps.2020.100936
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
引用
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页数:12
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