Role of energy mix and eco-innovation in achieving environmental sustainability in the USA using the dynamic ARDL approach: Accounting the supply side of the ecosystem
Mohammad Razib Hossain,
Md. Jaber Rana,
Sourav Mohan Saha,
Mohammad Haseeb,
Md. Sayemul Islam,
Md. Ruhul Amin and
Md. Emran Hossain
Renewable Energy, 2023, vol. 215, issue C
Abstract:
The United Nations Framework Convention on Climate Change (UNFCCC) partners agreed with a landmark decision on environmental concerns at the COP26 in Glasgow, outlining future attempts and measures to ensure a secure environment. In this regard, several prior studies have looked at environmental issues using carbon dioxide emissions, or ecological footprint. However, considering these variables may cause the supply side of environmental quality to be overlooked. To make up for this shortcoming, this study examines the effect of energy mix (fossil fuels, nuclear, and renewables), economic growth, and eco-innovation on the load capacity factor, which emphasizes both the demand and supply side of the ecosystem since it takes biocapacity and ecological footprint into account. Hence, this study differs from previous research in that it takes a broader view of environmental sustainability. In this milieu, the current research employs a recently developed dynamic autoregressive distributed lag (DARDL) simulation model for the United States of America (USA), harnessing data from 1990 to 2018. The findings unveil that nuclear and renewable energy consumption and eco-innovation all positively impress the load capacity factor, meaning that these variables help the USA maintain its environmental sustainability. On the other side, fossil fuel usage and economic expansion curbs environmental sustainability. Furthermore, since the short-run income elasticity is larger than the long-run elasticity, the environmental Kuznets curve hypothesis is legitimate for the USA. These findings also validated by the frequency domain causality test. Based on the findings, specific policy proposals are given to assist the USA in improving its environmental quality and achieving the UN Sustainable Development Goals (SDGs) 7 (clean energy) and 13 (climate change mitigation).
Keywords: Environmental sustainability; Load capacity factor; Nuclear energy; Renewable energy; Eco-innovation; Dynamic autoregressive distributed lag simulations (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148123008315
Full text for ScienceDirect subscribers only
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:eee:renene:v:215:y:2023:i:c:s0960148123008315
DOI: 10.1016/j.renene.2023.118925
Access Statistics for this article
Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides
More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().