Stochastic convergence of nitrogen oxides by fuel for OECD countries covering 1820–2019

Sakiru Solarin, Veli Yilanci and Muhammed Sehid Gorus

Energy & Environment, 2023, vol. 34, issue 8, 2905-2931

Abstract: Addressing the challenges posed by pollutants is necessary to achieve the Sustainable Development Goals (SDGs) target 12 or achieve sustainable production and consumption patterns. Convergence assessment of air pollution provides information which can be beneficial to how to handle that air pollution across different countries. Nitrogen oxides (NO x ) are one of the most popular air pollutants. However, the current empirical literature on environmental economics largely ignores the convergence of per capita NO x . For this reason, this study investigates the stochastic convergence of aggregate and fuel-specific per capita NO x emissions in 20 OECD countries. This paper employs a recently introduced panel stationarity test that considers both smooth and sharp structural changes in the data generation process. The panel results show that the convergence hypothesis is rejected only for NO x from light-oil consumption. However, country-specific results reveal substantial evidence for divergence in the sample countries when NO x emissions per capita generated through diesel consumption, light-oil consumption, and natural gas consumption are considered. Besides, we find that most of the series have convergent behaviour for aggregate NO x , NO x from biomass consumption, NO x from hard-coal consumption, NO x from heavy-oil consumption, and NO x from the process. The policy implications of the empirical results for proper environmental management are elucidated in the paper. Actions taken based on the convergence findings will likely lead to a decrease in NO x emissions per capita as the countries will converge towards a lower level of NO x emissions per capita, in line with SDG's target 12.

Keywords: Nitrogen oxides; stochastic convergence; fuel-specific analysis; environmental management; structural breaks; panel stationarity test (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0958305X221116182 (text/html)

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:sae:engenv:v:34:y:2023:i:8:p:2905-2931

DOI: 10.1177/0958305X221116182

Access Statistics for this article

More articles in Energy & Environment
Bibliographic data for series maintained by SAGE Publications ().